PMP Exam Prep Project Management Professional Certification
Monday, May 30, 2022
PMP Exam Prep Project Management Professional Certification - PMP Certification 2022 - Get 35 PDUs - Project Management Professional - New PMP Exam Training PMBOK 7 - Pmp Course
What you'll learn
- Complete PMP Certification Training 2022: Everything you need to pass the New PMP Exam easily on your first try. Covers PMBOK 6, PMBOK 7, and Agile in detail.
- Earn 35 PDU/Contact Hours Certificate
- High Quality Videos and Realistic Practice Exams
- Covers the PMBOK, Agile, and PMI's New Exam Content Outline in detail
- Learn PMBOK 7 Performance Domains
- Simple,Clear,and Concise explanations that help you get ready for the exam as fast as possible
- Learn all the Agile Project Management topics for the new PMP exam
- Covers both Predictive Project Management and Agile Project Management
- Easily Learn PMP Math: Detailed PMP Math Explanations for every topic.
- Learn all Project Management Knowledge areas
- Learn all 49 PMBOK Project Management Processes
- Learn all Formulas Easily : EVM,Critical Path,CPI,SPI,CV,SV,Float
- Learn all the essentials of Project Management and how to manage projects like a pro
Advanced SQL : SQL Expert Certification Preparation Course
Advanced SQL : SQL Expert Certification Preparation Course - Level Up Your Oracle SQL Knowledge From Intermediate to Advanced and Become an In-Demand Database SQL Expert in Oracle!
What you'll learn
- All the advanced subjects that you need for SQL Expert Certification
- Learn Advanced SQL Query with Hundreds of Examples!
- Write, Read, Analyze Any Advanced SQL Codes Easily
- Over 125+ Lectures, 12+ Hours On-Demand Content
- Learn Advanced SQL Functions in Oracle
- Get a Better Job and Income!
- Analytical SQL Functions in Oracle
- Regular Expressions
- Introducing Database Objects
- Creating and Using Indexes
- Creating and Using Views
- Creating and Using Synonyms
- Creating and Using Sequences
- Data Dictionary Views
- Using Advanced Subqueries
- Generating (Dynamic) SQL Scripts
- Advanced Data Manipulations
- Advanced Aggregation Techniques
- Windowing functions for working with ordered data sets
- Lifetime Support from the Authors
- Working Materials
- Weekly Quizzes & Assessments
Statistics for Finance
Statistics for Finance - Learn core probability and statistics with Python tools and real applications in finance and business
- New
Description
Level up your statistics skills for your career in finance with this course in core statistics and finance and business applications. Statistics is the core subject providing the foundation for analysis in all areas of finance. This course, designed and produced by a seasoned financial practitioner, and former math professor, delivers you to the forefront of cutting edge quantitative techniques used in the finance industry worldwide.
This course assumes no knowledge of statistics or finance. From a basic foundation of only high school math this course will elevate you to the forefront of quantitative and computational tools for modelling financial markets, analyzing financial products, and managing risk.
What You Will Learn
This course provides a thorough grounding in the probability foundations of statistics. The core topics of statistics, estimation, hypothesis testing, and confidence intervals, are treated in full depth. Modern statistics methods are applied to real problems from finance.
Some of the topics covered in this course include
Discrete and combinatorial probability
The binomial, normal, exponential, and chi-square distributions
Mixed normal distributions
Mean, variance, skewness, and kurtosis
Location, scale, and shape parameters
Law of large numbers
Central limit theorem
Maximum likelihood estimation
Method of moments
Hypothesis testing
Significance level, size, and power of tests
Confidence bounds and intervals
Stationarity and structural breaks in financial time series
Modelling the distributions of financial returns
Includes Python Tools
Python based tools are included for working with probability distributions, for analyzing data, and providing implementations of modern statistical algorithms. All software that is part of this course is released under a permissive MIT license, so students are free to take these tools with them and use them in their future careers, include them in their own projects, whether open source or proprietary, anything you want!
So Sign Up Now!
Accelerate your career by taking this course and advancing your skills in statistics for finance and business. With more than 20 hours of lectures, extensive problem sets, and Python codes implementing modern statistics methods, not to mention a 30 day money back guarantee, you can't go wrong!
Who this course is for:
- Finance students and working financial professionals who want to level up their statistics skills
- Students in any area where statistics are used who would like to learn statistics with an emphasis on applications
Kaggle Master with Heart Attack Prediction Kaggle Project
Kaggle Master with Heart Attack Prediction Kaggle Project - Kaggle is Machine Learning & Data Science community. Become Kaggle master with real machine learning kaggle project
- New
What you'll learn
- Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners.
- Kaggle is a platform where data scientists can compete in machine learning challenges. These challenges can be anything from predicting housing prices to detect
- Machine learning describes systems that make predictions using a model trained on real-world data.
- Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and ne
- Data science includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a science, it progresses by creating new algorithm
- Data science application is an in-demand skill in many industries worldwide — including finance, transportation, education, manufacturing, human resources
- Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction.
- Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems.
- What is Kaggle?
- Registering on Kaggle and Member Login Procedures
- Getting to Know the Kaggle Homepage
- Competitions on Kaggle
- Datasets on Kaggle
- Examining the Code Section in Kaggle
- What is Discussion on Kaggle?
- Courses in Kaggle
- Ranking Among Users on Kaggle
- Blog and Documentation Sections
- User Page Review on Kaggle
- Treasure in The Kaggle
- Publishing Notebooks on Kaggle
- What Should Be Done to Achieve Success in Kaggle?
- First Step to the Project
- Notebook Design to be Used in the Project
- Examining the Project Topic
- Recognizing Variables in Dataset
- Required Python Libraries
- Loading the Dataset
- Initial analysis on the dataset
- Examining Missing Values
- Examining Unique Values
- Separating variables (Numeric or Categorical)
- Examining Statistics of Variables
- Numeric Variables (Analysis with Distplot)
- Categoric Variables (Analysis with Pie Chart)
- Examining the Missing Data According to the Analysis Result
- Numeric Variables – Target Variable (Analysis with FacetGrid)
- Categoric Variables – Target Variable (Analysis with Count Plot)
- Examining Numeric Variables Among Themselves (Analysis with Pair Plot)
- Feature Scaling with the Robust Scaler Method for New Visualization
- Creating a New DataFrame with the Melt() Function
- Numerical - Categorical Variables (Analysis with Swarm Plot)
- Numerical - Categorical Variables (Analysis with Box Plot)
- Relationships between variables (Analysis with Heatmap)
- Dropping Columns with Low Correlation
- Visualizing Outliers
- Dealing with Outliers
- Determining Distributions of Numeric Variables
- Transformation Operations on Unsymmetrical Data
- Applying One Hot Encoding Method to Categorical Variables
- Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms
- Separating Data into Test and Training Set
- Logistic Regression
- Cross Validation for Logistic Regression Algorithm
- Roc Curve and Area Under Curve (AUC) for Logistic Regression Algorithm
- Hyperparameter Optimization (with GridSearchCV) for Logistic Regression Algorithm
- Decision Tree Algorithm
- Support Vector Machine Algorithm
- Random Forest Algorithm
- Hyperparameter Optimization (with GridSearchCV) for Random Forest Algorithm
- Project Conclusion and Sharing
Linux Administration: The Complete Linux Bootcamp for 2022
Saturday, May 28, 2022
Linux Administration: The Complete Linux Bootcamp for 2022 - Linux Administration (Ubuntu and CentOS) for Beginners. Get the Linux skills to boost your career and get ahead.
- Bestseller
Preview this Course
What you'll learn
- Become a professional Linux Sysadmin and get hired.
- You will MASTER all the Linux key concepts and commands starting from scratch. No prior Linux knowledge is required.
- Learn how to set up the Linux environment (Installing both Ubuntu and CentOS in a VM)
- Build a COMPLETE understanding of Linux OS (Distribution Independent) from the ground.
- For each Linux key concept or command you'll get an High-Quality Video, a Cheatsheet, a Quiz, Practice Exercises and Slides.
- Master all important Linux commands.
- Understand Linux File Permissions, Processes, User Account Management, Linux Networking or Software Management.
- You will MASTER Ethical Hacking and Network Security Key Concepts (Reconnaissance, Sniffing, Iptables Firewall ...).
- Acquire an good understanding of Netfilter/Iptables Linux Firewall (Chains, Tables, Matches, Targets).
- By the end of this course you will have a deep understand of the Linux operating system and be able to apply that knowledge in a hands-on manner.
Requirements
- A computer (Windows, Mac, or Linux) with an Internet connection. That's it!
- No prior Linux knowledge is required. You will learn everything from scratch!
- Your time and enthusiasm to learn.
- This course is targeted primarily at beginners. If you have more than a few years Linux experience, this course might not be for you.
Description
***Fully updated for 2022*** This Linux Administration course covers every major topic, including all important Linux commands, the Linux Filesystem, File Permissions, Process Management, User Account Management, Software Management, Networking in Linux, System Administration, Bash Scripting, Iptables/Netfilter Firewall, Linux Security and many more!
I’m constantly updating the course to be the most comprehensive, yet straightforward, Linux Administration course on the market!
Course Updates:
Update: November 2021 - Updates to be 2022 ready.
Update: June 2021 - NEW Bonus Section on IPFS (InterPlanetary File System).
Update: November 2020 - Updates to be 2021 ready.
Update: November 2020 - New BIG Section: Hands-On Project - Configuring a Linux Server from Scratch in the Cloud (VPS, DNS - BIND9, WEB - Apache2, PHP, MySql, WordPress, Security).
Update: October 2020 - New Videos in the Linux System Administration Section on how to work directly with device files (the dd command) and how to get system hardware information (lwhw, lscpu, lsusb, lspci, dmidecode, hdparm) + Quiz and Challenges for you to practice what you've learned.
Update: September 2020 - NEW Section: Bash Shell Scripting (2.5 hours of HD videos, coding sections, Quizzes, and Hands-On Challenges with Solutions).
Course Launch: August 23, 2020
This course IS NOT like any other Linux Administration course you can take online. At the end of this course, you will MASTER the key concepts and you will become an effective Linux System Engineer or Administrator.
This is a brand new Linux Administration course launched in August 2020 and it’s updated to teach you the skills required for the future that comes.
The world is changing, constantly, and at a fast pace! The technology-driven future in which we’ll live is filled with promise but also challenges. Linux powers the servers of the Internet and by enrolling in this course you’ll power the essential Linux concepts and commands. This Linux Administration course is really different! You’ll learn what really matters and you’ll get the skills to get ahead and gain an edge.
Do you want to learn a new valuable skill, get hired, get a promotion, or simply prepare for the future that comes? Well, then this Linux course is for you!
By enrolling in this Linux Administration course now, you make the best investment in your career!
By the end of this course, you'll have an in-depth knowledge of how the Linux Operating System works and how you can best deal with it.
This course is for you if you want to learn Linux applied to the real-world.
It’s specially designed for you whether you have no experience in Linux, you’ve taken other related courses and you want to fill in gaps or level up your skills, or you are coming from other fields like Networking or Programming.
You'll have access to my closed and exclusive online Group in order to provide you with improved, faster, and better support for your course-related questions.
This course is taught by me, a Senior Network Engineer and Professional Trainer. Why should you learn from me?
I'm a Practitioner and an Enthusiast. Welcome to the real world! I’ve been using Linux for the last 15 years in real-world projects. I’m not just a random guy that teaches Linux Administration. Just imagine that during this time I’ve learned and applied more and more almost on a daily basis. And now I’m giving everything to you!
I'm an Educator and I know how to make a Syllabus. I know exactly what is important and what is not. For the last 10 years, I've trained thousands of people on Linux Administration, Security, Networking, and Programming.
You'll learn not only some commands and tools but also how to combine them for real-world jobs. After this course, you'll be an effective Linux System Engineer or Administrator!
You'll have lifetime access and you can return and look for a specific Linux concept or command anytime you want. And let's not forget, if you don't like the course, you are covered by a 30-day money-back guarantee, full refund, no questions asked!
The topics covered in this Linux Administration course are:
Setting Up the Environment (Installing both Ubuntu and CentOS)
The Linux Terminal In Depth
The Linux File System
Absolute vs. Relative Paths. Walking through the File System (pwd, cd, tree)
The LS Command In-Depth (ls)
Understanding File Timestamps: atime, mtime, ctime (stat, touch, date)
Viewing Files (cat, less, more, tail, head, watch)
Creating Files and Directories (touch, mkdir)
Copying, Moving, Renaming, and Deleting Files and Directories (cp, mv, rm, shred)
Working With Pipes in Linux (|, wc)
Command Redirection (>, >>, 2> &>, cut, tee)
Finding Files and Directories (locate, find, which)
Find and Exec
Searching for String Patterns (grep, strings)
Comparing Files (cmp, diff, sha256)
The VIM Editor In Depth
Compressing and Archiving Files and Directories (tar, gzip, bzip2)
Hard and Symbolic Links. The Inode Structure
User Accounts Management
Understanding passwd and shadow files
Understanding Linux Groups (groups, id)
Creating, Changing, and Removing User Accounts User Accounts (useradd, usermod, userdel)
Group Management (groupadd, groupdel, groupmod)
User Account Monitoring (whoami, who am i, who, id, w, uptime, last)
Linux File Permissions
Octal (Numeric) Notation of File Permissions
Changing File Permissions (chmod)
Changing File Ownership (chown, chgrp)
Understanding SUID (Set User ID), SGID (Set Group ID), and the Sticky Bit
Umask
Understanding Files Attributes (lsattr, chattr)
Linux Process Management
Processes and The Linux Security Model
Listing Processes (ps, pstree, top, htop)
Signals and Killing Processes (kill, pkill, killall, pidof)
Foreground and Background Processes
Job Control (jobs, fg, bg)
Networking on Linux
Getting Information and configuring the Network Interfaces (ip, ifconfig, route)
Setting Up Static IP on Ubuntu (netplan)
Testing and Troubleshooting Network Connectivity
Using, Troubleshooting, and Securing SSH (sshd)
Copying Files Over the Network (scp)
Synchronizing Files and Directories using rsync
Using wget
Checking for Listening Ports (netstat, ss, lsof, telnet, nmap)
Software Management
DPKG (Debian and Ubuntu Based Distros) and APT
DNF (RedHat Based Distros)
Compiling Software From Source Code: Lab ProFTPD
Linux System Administration
Task Automation and Scheduling Using Cron (crontab) and Anacron
Mounting and Unmounting File Systems (df, mount, umount, fdisk, gparted)
Working With Device Files (dd)
Getting System Hardware Information (lwhw, lscpu, lsusb, lspci, dmidecode, hdparm)
Service Management (systemd and systemctl)
Bash Shell Scripting
Security: Information Gathering and Sniffing Traffic
Security: Netfilter/Iptables Firewall
Security: SSH PKI & SSH Hardening
Every topic includes many live examples, both on Ubuntu and CentOS, a command section, lots of quizzes, slides, and many practice challenges.
The skills you’ll learn will boost your career and make you even more valuable on the job market.
Who this course is for:
- Beginners who want to gain a complete and practical understanding of the Linux Operating System and Linux Command Line.
- People with some Linux experience who want to fill in gaps and become effective Sysadmins.
- Professionals that need to learn Linux to become more effective at their daily job. Application support engineers or developers that are required to use the Linux operating system.
- This course is targeted primarily at beginners.
Working with Concurrency in Go (Golang)
Friday, May 27, 2022
Working with Concurrency in Go (Golang) - Learn the advantages and pitfalls of concurrent programming with the Go programming language
- New
Preview this Course
What you'll learn
- Learn about the various ways Go makes working with concurrent programing simple
- Understand how concurrency works, and its advantages and pitfalls
- Learn how WaitGroups, Mutexes, and channels work
- Master concurrency by working with classic computer science problems, and by building a real-world example
Description
Go, often referred to as Golang, is well-known for making it remarkably easy to work with concurrency. In order to make a particular function run concurrently, all we have to do is prepend the word "go" to the function call, and it cheerfully runs in the background, as a GoRoutine. Go's built in scheduler takes are of making sure that a given GoRoutine runs when it should, and as efficiently as it can.
However, this does not mean that working with concurrency is simple in Go—thread safe programming takes careful planning, and most importantly it requires that developers have an absolutely solid understanding of how Go deals with concurrency.
In the standard library, Go offers us several ways of dealing with concurrently running parts of our program, right in the standard library: sync.WaitGroup, which lets us wait for tasks to finish; sync.Mutex, which allows us to lock and unlock resources, so that no two GoRoutines can access the same memory location at the same time; and finally, Channels, which allow GoRoutines to send and receive data to and from each other.
Go's approach to concurrency is fairly straightforward, and is more or less summed up this mantra: Don't communicate by sharing memory; instead, share memory by communicating. Channels are the means by which we usually share memory by communicating.
In this course, we'll cover the use of WaitGroups, Mutexes, and Channels, and we'll do so in detail. We'll also cover some of the problems inherent in concurrency, including early program termination and race conditions. Initially, we'll gain a good understanding of how these things work by solving some of the classic problems found in the field of computer science, including the Dining Philosophers, the Producer/Consumer problem, and the Sleeping Barber. These problems are classics for a reason: they force a developer to figure out the best approach to working with code that run concurrently, or in parallel.
Finally, we'll finish the course out with a more "real-world" problem, where we have to register a customer for some kind of subscription service, and take care of invoicing, registration, and all the things necessary to get a new customer up and running. We'll do so, naturally, as quickly as we can by dividing the necessary tasks up into smaller tasks, and having them run concurrently.
Who this course is for:
- Go programmers who want to understand how Go works with concurrent programming
Tailwind CSS From Scratch | Learn By Building Projects
Tailwind CSS From Scratch | Learn By Building Projects - Build great looking layouts fast and efficiently using Tailwind CSS utility classes
- New
Preview this Course
What you'll learn
- Learn to create and edit layouts super fast
- Learn the Tailwind utility classes using a code sandbox
- Build 5 mini-projects and 6 website projects
- Learn how to set up a dev environment using the Tailwind CLI
- Configure your styles to create custom layouts
Description
This is a fun project-based course to learn how to create awesome layouts using the Tailwind CSS framework and get comfortable using utility classes over something like Bootstrap, which uses component-based classes. Let's take a look at the outline for this course...
✔️ The Sandbox
I don't want to jump right into the projects, though you certainly could if you want. So the first two sections, we will be working in a coding sandbox. In every new video in these sections, we will have a new file to experiment with and learn all about a certain aspect of Tailwind. For example, we will have pages/videos for colors, typography, spacing, flex classes, and much more. This allows us to essential touch on all parts of Tailwind in a specific order, rather than just jumping right into projects.
✔️ Mini-Projects
Next, we will take what we learn in the sandbox environment and use it to create some small projects. These are things that will take 10 - 20 minutes to create and we will do it all in one video per project. The mini-projects include
Email Subscribe Card
Pricing Grids
Product Modal
Image Gallery
Login Modal
I may even add more mini-projects later. These will help you get your feet wet by creating something.
✔️ Website Projects
Next, we will start to work on larger landing-page websites. This will really put what you learned to the test. There will be 6 different websites. They are all very modern and clean-looking. We partnered with Frontend Mentor for the designs. Some projects will have a bit of javaScript for things like hamburger menus, tabs, and some validation. Let's take a look at the projects.
Clipboard Website - Simple software product landing page. Focusing mostly on flexbox and alignment. Some background images, etc.
Loopstudios - VR company website with cool images, responsive mobile menu with some JavaScript, gradient overlay effects.
Shortly - Website for a link shortening tool. We will have a nice-looking responsive menu and add a little JavaScript for some form validation and working with the DOM.
Testimonial Grid - A project where we focus on using Tailwind's grid classes.
Fylo - Product page with a light/dark mode feature. We will add some JavaScript to save the color mode to local storage. We will also have a dynamic tab component for the FAQ.
Bookmark - Bookmark manager extension landing page. This website will have some dynamic background images, a hamburger menu and some tabs that will use JavaScript.
Who this course is for:
- Anyone that wants to get better at creating website and UI layouts
Machine Learning: Natural Language Processing in Python (V2)
Thursday, May 26, 2022
Machine Learning: Natural Language Processing in Python (V2) - NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python
- Highest rated
Preview this Course
What you'll learn
- How to convert text into vectors using CountVectorizer, TF-IDF, word2vec, and GloVe
- How to implement a document retrieval system / search engine / similarity search / vector similarity
- Probability models, language models and Markov models (prerequisite for Transformers, BERT, and GPT-3)
- How to implement a cipher decryption algorithm using genetic algorithms and language modeling
- How to implement spam detection
- How to implement sentiment analysis
- How to implement an article spinner
- How to implement text summarization
- How to implement latent semantic indexing
- How to implement topic modeling with LDA, NMF, and SVD
- Machine learning (Naive Bayes, Logistic Regression, PCA, SVD, Latent Dirichlet Allocation)
- Deep learning (ANNs, CNNs, RNNs, LSTM, GRU) (more important prerequisites for BERT and GPT-3)
- Hugging Face Transformers (VIP only)
- How to use Python, Scikit-Learn, Tensorflow, +More for NLP
- Text preprocessing, tokenization, stopwords, lemmatization, and stemming
- Parts-of-speech (POS) tagging and named entity recognition (NER)
Requirements
- Install Python, it's free!
- Decent Python programming skills
- Optional: If you want to understand the math parts, linear algebra and probability are helpful
Description
Hello friends!
Welcome to Machine Learning: Natural Language Processing in Python (Version 2).
This is a massive 4-in-1 course covering:
1) Vector models and text preprocessing methods
2) Probability models and Markov models
3) Machine learning methods
4) Deep learning and neural network methods
In part 1, which covers vector models and text preprocessing methods, you will learn about why vectors are so essential in data science and artificial intelligence. You will learn about various techniques for converting text into vectors, such as the CountVectorizer and TF-IDF, and you'll learn the basics of neural embedding methods like word2vec, and GloVe.
You'll then apply what you learned for various tasks, such as:
Text classification
Document retrieval / search engine
Text summarization
Along the way, you'll also learn important text preprocessing steps, such as tokenization, stemming, and lemmatization.
You'll be introduced briefly to classic NLP tasks such as parts-of-speech tagging.
In part 2, which covers probability models and Markov models, you'll learn about one of the most important models in all of data science and machine learning in the past 100 years. It has been applied in many areas in addition to NLP, such as finance, bioinformatics, and reinforcement learning.
In this course, you'll see how such probability models can be used in various ways, such as:
Building a text classifier
Article spinning
Text generation (generating poetry)
Importantly, these methods are an essential prerequisite for understanding how the latest Transformer (attention) models such as BERT and GPT-3 work. Specifically, we'll learn about 2 important tasks which correspond with the pre-training objectives for BERT and GPT.
In part 3, which covers machine learning methods, you'll learn about more of the classic NLP tasks, such as:
Spam detection
Sentiment analysis
Latent semantic analysis (also known as latent semantic indexing)
Topic modeling
This section will be application-focused rather than theory-focused, meaning that instead of spending most of our effort learning about the details of various ML algorithms, you'll be focusing on how they can be applied to the above tasks.
Of course, you'll still need to learn something about those algorithms in order to understand what's going on. The following algorithms will be used:
Naive Bayes
Logistic Regression
Principal Components Analysis (PCA) / Singular Value Decomposition (SVD)
Latent Dirichlet Allocation (LDA)
These are not just "any" machine learning / artificial intelligence algorithms but rather, ones that have been staples in NLP and are thus an essential part of any NLP course.
In part 4, which covers deep learning methods, you'll learn about modern neural network architectures that can be applied to solve NLP tasks. Thanks to their great power and flexibility, neural networks can be used to solve any of the aforementioned tasks in the course.
You'll learn about:
Feedforward Artificial Neural Networks (ANNs)
Embeddings
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
The study of RNNs will involve modern architectures such as the LSTM and GRU which have been widely used by Google, Amazon, Apple, Facebook, etc. for difficult tasks such as language translation, speech recognition, and text-to-speech.
Obviously, as the latest Transformers (such as BERT and GPT-3) are examples of deep neural networks, this part of the course is an essential prerequisite for understanding Transformers.
Thank you for reading and I hope to see you soon!
Who this course is for:
- Anyone who wants to learn natural language processing (NLP)
- Anyone interested in artificial intelligence, machine learning, deep learning, or data science
- Anyone who wants to go beyond typical beginner-only courses on Udemy
300+ Exercises - Python Programming Mega Pack - 2022
300+ Exercises - Python Programming Mega Pack - 2022 - Mega Pack - Improve your Python programming skills and solve over 300 exercises!
- New
Preview this Course
What you'll learn
- solve over 300 exercises in Python
- deal with real programming problems
- work with documentation
- guaranteed instructor support
Requirements
- completion of all courses in the Python Developer learning path
- basic and advanced knowledge of Python
- I have courses which can assist in obtaining all the necessary skills for this course
Description
Welcome to the 300+ Exercises - Python Programming Mega Pack course where you can test your Python programming skills.
Topics you will find in the basic exercises:
print() function
calculations in Python
slicing
strings, and str methods
data types
data structures: set. tuple, list, dict
program flow control
if statement
for loops
break statement
continue statement
while loops
exception handling
input/output
reading files
saving to files
built-in functions
defining your own functions
anonymous functions - lambda expression
generators
set comprehension
list comprehension
dict comprehension
built-in modules
Topics you will find in the advanced exercises:
Fibonacci sequence
prime and composite numbers
palindromic numbers
GCD
decimal system, binary system
compression
object oriented programming
Hamming distance
Scrabble game
spiral matrices
input / output operations
work with JSON and CSV files
ETL processing
object serialization - pickle
SQLite databases - sqlite3
Levenshtein distance
Caesar Cipher
Morse code
Monte Carlo method
bitwise AND, OR, XOR
functional programming
inheritance from built-in classes
calculation of moving averages and minima
implementation of the Matrix class
implementation of the Stack class
implementation of the Queue class
the parentheses validator
HTML document validator
and other
This course is designed for people who have basic and advanced knowledge in Python. It consists of 300 exercises with solutions. This is a great test for people who are learning the Python language and are looking for new challenges. Exercises are also a good test before the interview.
If you're wondering if it's worth taking a step towards Python, don't hesitate any longer and take the challenge today.
Stack Overflow Developer Survey
According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.
Who this course is for:
- everyone who wants to learn by doing
- everyone who wants to improve their Python programming skills
- everyone who wants to prepare for an interview
C Programming Bootcamp - The Complete C Language Course
Wednesday, May 25, 2022
C Programming Bootcamp - The Complete C Language Course - C Programming 2022: Master the Fundamentals of C Programming Language. Join the Comprehensive C Bootcamp Masterclass!
- Bestseller
Preview this Course
What you'll learn
- Fundamentals of Programming
- Summarized & Concise Material [Saving TONS of Time!]
- OVER 100 Practical Exercises!
- Animated Explanation & Illustrations - Explaining "Hard Topics" EASY
- C Programming Language Concepts & Usage
- C Program Structure
- Using Input & Output functions
- Usage of Variables - declaration | initialization | access
- Casting
- Control Flow - if | if-else | switch-cases
- Logical Operators
- Loops - while | do-while | for
- Functions - declaration | definition | usage
- 1D Arrays - Why do we need them & How they can be used?
- 2D Arrays - Matrices
- Introducing "#define"
- Pointers - Time to Sweat! - Why | When | How
- Strings - Creating, Reading, Manipulating & Printing
- Recursion - Concept | Usage
- Constants
- Unions
Requirements
- A computer with Windows, Linux or Mac OS
- 4GB RAM (recommended)
- No prior knowledge is required! This course if for Absolute Beginners!
Description
This course has been optimized to meet the requirements and demands of students who are eager to learn the C Programming Language in the most easy and attractive manner. Including handpicked coding materials and over 100 exercises with full video solutions - this bestseller course is expected to provide you with everything you need to get started (for beginners) as well as provide you with beneficial knowledge if you're working at High-tech industry (especially in the Embedded, Microcontrollers, Cyber, and other domains).
About the Instructor
BSc in Computer Science & BSc in Electronic Engineering
Practical experience working as an Engineer at some of the leading High-tech companies such as “Mobileye - an Intel Company” as well as a Cyber Systems Startup.
Over 3 years of experience working as a lecturer in the Academy - teaching students from 3 different faculties.
This combination of the knowledge and experience gained over the years made me feel eager and passionate about sharing my knowledge with students.
It got me wonder - why not help so many students to learn c programming in an easy and fun way? I mean learning the c language can feel like a nightmare.. but C can be actually kind of fun - if we do it right!
And that's what I aim to achieve - Teaching you "C Programming" in plain English.
So I hope you're ready for our C Programming Language Bootcamp Journey! :)
Last Update 2022 - Who's this course for?
C students in college/university. Has been optimized to meet the needs of the beginner students.
High-tech employees, especially but not limited to, at the Embedded Systems, Microcontrollers, and Cyber Security domains.
Absolute beginners and hobbyists who want to get the first taste of programming using the c language.
So if you belong into one of these - then I think you're ABSOLUTELY going to LOVE this course!
What is C Programming Language?
C Language is the “mother” of all programming languages.
C first appeared almost 50 years ago and has been used for the development of:
Operating Systems - C as its core.
Core parts of famous databases (such as Oracle and MySQL) - Yes, even MySQL was developed using C.
Cyber-Systems - I personally was programming C to develop a cyber system.
Smart Homes & Smart Cities
Systems including Sensors and Micro Controllers (especially in Embedded Systems) - Common usage to programming an MCU using C Programming Language.
Also, if you're familiar with Python Programming Language - then you better know that a lot of Python efficient libraries are actually implemented in C.
“C Language is definitely here to STAY!”
C is HIGHLY USEFUL & HIGHLY EFFICIENT.
Also, it’s considered that by learning C Programming you’re definitely going to make your programming fundamentals VERY STRONG.
And finally to answer a question that a lot of you may have - there is a HIGH DEMAND for C Developers in the market - at both large companies as well as startups - and the salaries are usually PRETTY HIGH! :)
So C Programming - usually pays off.
[C Programming - Course Information]
In this course, you’ll learn the fundamentals of programming using C Language - including different concepts such as:
Programming Concepts (General + C Language)
Input & Output (what it is and how it can be used in C)
How variables work
Conditions & Control Flow (controlling the execution flow of a C Program)
Different types of Loops (including For, While, and Do-While in C)
Functions
Arrays in C
Pointers
Using Strings in C Programming
Recursions (Concepts + C Usage)
Constants
Unions
And maybe some additional sections in C Programming Language
Each and every one of the major topics are being taught with plenty of exercises (of course, in C Programming Language) with full video solutions.
[Sections Structure]
At every section, you will be given with:
Introduction to the General Concept without the C language.
Implementing Concept in C Programming Language.
Hands-On Exercises Challenges + FULL VIDEO SOLUTION - using C Programming.
Cool Milestones such as:
Developing a Calculator in C.
Developing your own Weather Station in C.
C Password Guess Program.
And many more "c" Cool Milestones that will make you feel how the Theoretical and Practical knowledge are getting together!
Additional Sections - OPTIONAL.
By the end of the course - you should be able to analyze and solve various c programming problems on your own.
So if you're a Total Beginner, a student or you're just curious about the topic – this course is ABSOLUTELY FOR YOU!
*Also, if you're a Programmer who wants to make a Career Change to C Programming (from Python Programming, JavaScript and Web Development, C#, or any other).
Should you enroll?
If you're still unsure - then no worries. I'm so confident about my course and what it will teach you so that you get Udemy's 30-day money-back guarantee.
Doubts - Out. Enroll "C" - In.
Let's go!
Who this course is for:
- People totally new to programming [no prior knowledge required]
- Beginner C Developers
- Students at the Academy
- High-tech employees - Embedded Systems, Microcontrollers, and Cyber Security domains
- Programmers who wants to make a Career Change to C Programming (from Python Programming, JavaScript and Web Development, C#, or any other).
- Graduated Engineers that want to repeat Summarized & Concise Material
Artificial Intelligence in Web Design (Special Edition)
Tuesday, May 24, 2022
Free Udemy Coupon
Artificial Intelligence in Web Design (Special Edition) - MBA in Creative Arts, Design and Animation: Level 2 - Part 1 course that teaches Artificial Intelligence (AI) Web Design
- Created by Srinidhi Ranganathan, First Look Digital Marketing Solutions Pvt. Ltd.
- English [Auto]
Online Courses Udemy GET COUPON CODE
What you'll learn
- Build and design websites and landing pages with implementing Artificial Intelligence (AI) Technology in 2021
- Create a chatbot for your site in the fastest time possible using Artificial Intelligence (AI) cloud-based tools
- Make an Apple TV app with no coding and learn the website portal used to create the same with Artificial Intelligence (AI)
- Learn to create self-updating websites that are updated with new content autonomously all throughout the day
- Learn about New Web-Design Prototyping and Editing Tools in 2021
- Create automated self-updating websites in the fastest time possible
- Create a chatbot with no coding involved quick and easy
- Learn to convert Design-to-Code using new-age tools and tech
- Make a social network on your own - incredibly fast in the most effective manner
Description
Welcome to Level 2 of the series "MBA in Creative Arts, Design and Animation".
Artificial Intelligence in Web Design (Special Edition)
What is this 2021 Special Edition Website Design course all about?
Website design is the art and science of building the look, feel, and how a website functions in a nutshell. This course is having clear, concise, and easy to use website design technologies and will ultimately lead to a better user experience for your custom audience or clients. There are many aspects of successful website design like HTML, colors, layouts, text size, graphics, and so much more. But, this course is a huge differentiator in the design field as it uses artificial intelligence-based website design state-of-the-art technologies that are covered nowhere in the world. If you've been wondering how to learn website design, you've come to the right place - after all.
Why website design is needed for a successful online presence?
Having a good website is the backbone of every business and to achieve this successful feat, typically we need website design developers, content marketers, SEO specialists, etc. in an organization. But, some website design developers charge a lot of money outside in the market and other freelancing marketplaces to design websites using content management platforms like WordPress CMS. In fact, tools like Bookmark in website design will help advance your web-design career, altogether. This course is both a beginner's website design course and an advanced course for web developers.
Jobs in Website Design in 2021: Unveiled
According to Glassdoor, you can expect an average salary of $64,468 in the United States for doing website design. As your experience grows in website design all the time, you can expect to see higher salary ranges in the upcoming future. For example, you can expect an average Junior Website Designer to make around $62k in the United States alone and Rs. 2-3 Lakhs in India. As a Front End Website Design Developer, you can expect to make over $90k abroad.
Introduction to the website design course powered by Artificial Intelligence technology:
In the beginning website, design developers and designers designed websites using HTML. Soon, the internet was formless and empty, darkness was over the surface of the deep web, and the Spirit of Code was hovering over the pinnacle of utmost ignorance.
We’ve come a long way from that time. The internet is still a dark, dreadful place, but it’s much more stylish, sophisticated, and amazing now. Website Design has grown exponentially in scale and sophistication over the last few years, thanks to new Artificial Intelligence-based website creation tools that are dominating the digital marketing industry.
The technology is still in its infancy stage, however - but machine learning is enabling artificial design intelligence (ADI) to understand creative rules and apply them independently and in an intuitive and more attractive way - for that matter. Artificial design technology will soon be advanced enough to automate a lot of web design work in the near future too. New thought leaders would emerge and new courses like this would serve to be game-changers in the artificial intelligence-powered digital marketing space.
This game-changing course focuses on "Artificial Intelligence in Web Design" taught by Digital Marketing Legend "Srinidhi Ranganathan" will cover artificial intelligence tools in website, chatbot design, and analytics in website design which will help you to create a website in merely minutes in 2021.
I will teach you to easily create websites in the fastest time possible using advanced website design tools or design techniques and customize your site look and feel according to your requirement in a simple drag-and-drop timeline by talking to chatbots.
Why learn this artificial intelligence game-changing course on website design and how is this a differentiator?
This website design course can change your life as a web developer or marketer. With no coding experience, you can create amazing looking websites and pave the path for unlimited designs and interchange content and play god using artificial intelligence tech.
This course will save you a ton of time when it comes to creating websites without using any expensive website design tool and without using complex tools like WordPress etc. You do not even need to outsource websites to other agencies ever again as you can do it yourself now in minutes.
About Bookmark - The 2021 Artificial Intelligence Based Website Design Builder: The World-Changer
Bookmark is an AI-powered website builder to help you design amazing websites at lightning speed. Bookmarks AI software AiDA (Artificial Intelligence Design Assistant) - The algorithm behind the website design empowers the non-technical entrepreneur and small business owner with the ability to instantly create an exceptional website that one can be proud of. AiDA eliminates up to 90% of the pain points associated with website design and creation by building a brand new, striking website in less than 30 seconds and then simply walks the user through the process of editing content and design. AiDA's features taught in the course comprises automatically moving the mouse cursor to aid in the website design process and instant change of website design style and fonts in a matter of minutes.
The question is "Are you ready to get into action and embrace the power to leverage artificial intelligence in website design using AiDA?”.
If yes, plunge into action right away by signing up NOW. All the best to become an Artificial Intelligence Web-Design Creator.
Who this course is for:
- Anyone who want to create and design websites at incredible speed with Artificial Intelligence (AI) technology and tools
- Entrepreneurs who have passion to learn website creation with no coding involved in the process.
- Developers who want to become aware of artificial intelligence new-age technologies to create webpages and sites
- Ardent learners and web-developers who want to create a difference in the field of web-design leveraging the power of Artificial Intelligence (AI)
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Java Programming for Complete Beginners
Free Coupon Discount - Learn Java Programming with 200+ code examples. For Absolute Java Beginners! Start Learning Java Programming Now! | Created by in28Minutes Official
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Description
Zero Java Programming Experience? No Problem.
Do you want to take the first steps to Become a Great Java Programmer? Do you want to Learn Java Step By Step in a Fail Safe in28Minutes Way? Do you want to Learn to Write Great Java Programs?
******* Some Amazing Reviews From Our Learners *******
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******* Course Overview *******
Java is one of the most popular programming languages. Java offers both object oriented and functional programming features.
We take an hands-on approach using a combination of JShell and Eclipse as an IDE to illustrate more than 200 Java Coding Exercises, Puzzles and Code Examples. This course assumes no previous ( beginner ) programming or Java experience. If you’ve never programmed a computer before, or if you already have experience with another programming language and want to quickly learn Java, this is a perfect course for you.
In more than 250 Steps, we explore the most important Java Programming Language Features
Basics of Java Programming - Expressions, Variables and Printing Output
Java Operators - Java Assignment Operator, Relational and Logical Operators, Short Circuit Operators
Java Conditionals and If Statement
Methods - Parameters, Arguments and Return Values
Object Oriented Programming - Class, Object, State and Behavior
Basics of OOPS - Encapsulation, Abstraction, Inheritance and Polymorphism
Basics about Java Data Types - Casting, Operators and More
Java Built in Classes - BigDecimal, String, Java Wrapper Classes
Conditionals with Java - If Else Statement, Nested If Else, Java Switch Statement, Java Ternary Operator
Loops - For Loop, While Loop in Java, Do While Loop, Break and Continue
Immutablity of Java Wrapper Classes, String and BigDecimal
Java Dates - Introduction to LocalDate, LocalTime and LocalDateTime
Java Array and ArrayList - Java String Arrays, Arrays of Objects, Primitive Data Types, toString and Exceptions
Introduction to Variable Arguments
Basics of Designing a Class - Class, Object, State and Behavior. Deciding State and Constructors.
Understanding Object Composition and Inheritance
Java Abstract Class and Interfaces. Introduction to Polymorphism.
Java Collections - List Interface(ArrayList, LinkedList and Vector), Set Interface (HashSet, LinkedHashSet and TreeSet), Queue Interface (PriorityQueue) and Map Interface (HashMap, HashTable, LinkedHashMap and TreeMap() - Compare, Contrast and Choose
Generics - Why do we need Generics? Restrictions with extends and Generic Methods, WildCards - Upper Bound and Lower Bound.
Functional Programming - Lambda Expression, Stream and Operations on a Stream (Intermediate Operations - Sort, Distinct, Filter, Map and Terminal Operations - max, min, collect to List), Functional Interfaces - Predicate Interface,Consumer Interface, Function Inteface for Mapping, Method References - static and instance methods
Introduction to Threads and MultiThreading - Need for Threads
Implementing Threads - Extending Thread Class and Implementing Runnable Interface
States of a Thread and Communication between Threads
Introduction to Executor Service - Customizing number of Active Threads. Returning a Future, invokeAll and invokeAny
Introduction to Exception Handling - Your Thought Process during Exception Handling. try, catch and finally. Exception Hierarchy - Checked Exceptions vs Unchecked Exceptions. Throwing an Exception. Creating and Throwing a Custom Exception - CurrenciesDoNotMatchException. Try with Resources - New Feature in Java 7.
List files and folders in Directory with Files list method, File walk method and find methods. Read and write from a File.
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Start Learning Now. Hit the Enroll Button!
******* Step By Step Details *******
Introduction to Java Programming with Jshell using Multiplication Table
Step 00 - Getting Started with Programming
Step 01 - Introduction to Multiplication Table challenge
Step 02 - Launch JShell
Step 03 - Break Down Multiplication Table Challenge
Step 04 - Java Expression - An Introduction
Step 05 - Java Expression - Exercises
Step 06 - Java Expression - Puzzles
Step 07 - Printing output to console with Java
Step 08 - Printing output to console with Java - Exercise Statements
Step 09 - Printing output to console with Java - Exercise Solutions
Step 10 - Printing output to console with Java - Puzzles
Step 11 - Advanced Printing output to console with Java
Step 12 - Advanced Printing output to console with Java - Exercises and Puzzles
Step 13 - Introduction to Variables in Java
Step 14 - Introduction to Variables in Java - Exercises and Puzzles
Step 15 - 4 Important Things to Know about Variables in Java
Step 16 - How are variables stored in memory?
Step 17 - How to name a variable?
Step 18 - Understanding Primitive Variable Types in Java
Step 19 - Understanding Primitive Variable Types in Java - Choosing a Type
Step 20 - Java Assignment Operator
Step 21 - Java Assignment Operator - Puzzles on Increment, Decrement and Compound Assignment
Step 23 - Java Conditionals and If Statement - Introduction
Step 24 - Java Conditionals and If Statement - Exercise Statements
Step 25 - Java Conditionals and If Statement - Exercise Solutions
Step 26 - Java Conditionals and If Statement - Puzzles
Step 27 - Java For Loop to Print Multiplication Table - Introduction
Step 28 - Java For Loop to Print Multiplication Table - Exercise Statements
Step 29 - Java For Loop to Print Multiplication Table - Exercise Solutions
Step 30 - Java For Loop to Print Multiplication Table - Puzzles
Step 31 - Programming Tips : JShell - Shortcuts, Multiple Lines and Variables TODO Move up
Step 32 - Getting Started with Programming - Revise all Terminology
Introduction to Method with Multiplication Table
Step 00 - Section 02 - Methods - An Introduction
Step 01 - Your First Java Method - Hello World Twice and Exercise Statements
Step 02 - Introduction to Java Methods - Exercises and Puzzles
Step 03 - Programming Tip - Editing Methods with JShell
Step 04 - Introduction to Java Methods - Arguments and Parameters
Step 05 - Introduction to Java Method Arguments - Exercises
Step 06 - Introduction to Java Method Arguments - Puzzles and Tips
Step 07 - Getting back to Multiplication Table - Creating a method
Step 08 - Print Multiplication Table with a Parameter and Method Overloading
Step 09 - Passing Multiple Parameters to a Java Method
Step 10 - Returning from a Java Method - An Introduction
Step 11 - Returning from a Java Method - Exercises
Step 99 - Methods - Section Review
Introduction to Java Platform
Step 00 - Section 03 - Overview Of Java Platform - Section Overview
Step 01 - Overview Of Java Platform - An Introduction - java, javac, bytecode and JVM
Step 02 - Java Class and Object - First Look
Step 03 - Create a method in a Java class
Step 04 - Create and Compile Planet.java class
Step 05 - Run Planet calss with Java - Using a main method
Step 06 - Play and Learn with Planet Class
Step 07 - JDK vs JRE vs JVM
Introduction to Eclipse - First Java Project
Step 01 - Creating a New Java Project with Eclipse
Step 02 - Your first Java class with Eclipse
Step 03 - Writing Multiplication Table Java Program with Eclipse
Step 04 - Adding more methods for Multiplication Table Program
Step 05 - Programming Tip 1 : Refactoring with Eclipse
Step 06 - Programming Tip 2 : Debugging with Eclipse
Step 07 - Programming Tip 3 : Eclipse vs JShell - How to choose?
Introduction To Object Oriented Programming
Step 00 - Introduction to Object Oriented Programming - Section Overview
Step 01 - Introduction to Object Oriented Programming - Basics
Step 02 - Introduction to Object Oriented Programming - Terminology - Class, Object, State and Behavior
Step 03 - Introduction to Object Oriented Programming - Exercise - Online Shopping System and Person
Step 04 - Create Motor Bike Java Class and a couple of objects
Step 05 - Exercise Solutions - Book class and Three instances
Step 06 - Introducing State of an object with speed variable
Step 07 - Understanding basics of Encapsulation with Setter methods
Step 08 - Exercises and Tips - Getters and Generating Getters and Setters with Eclipse
Step 09 - Puzzles on this and initialization of member variables
Step 10 - First Advantage of Encapsulation
Step 11 - Introduction to Encapsulation - Level 2
Step 12 - Encapsulation Exercises - Better Validation and Book class
Step 13 - Introdcution to Abstraction
Step 14 - Introduction to Java Constructors
Step 15 - Introduction to Java Constructors - Exercises and Puzzles
Step 16 - Introduction to Object Oriented Programming - Conclusion
Primitive Data Types And Alternatives
Step 00 - Primitive Data Types in Depth - Section Overview
Step 01 - Basics about Java Integer Data Types - Casting, Operators and More
Step 02 - Java Integer Data Types - Puzzles - Octal, Hexadecimal, Post and Pre increment
Step 03 - Java Integer Data Types - Exercises - BiNumber - add, multiply and double
Step 04 - Java Floating Point Data Types - Casting , Conversion and Accuracy
Step 05 - Introduction to BigDecimal Java Class
Step 06 - BigDecimal Puzzles - Adding Integers
Step 07 - BigDecimal Exercises - Simple Interest Calculation
Step 08 - Java Boolean Data Type - Relational and Logical Operators
Step 09 - Java Boolean Data Type - Puzzles - Short Circuit Operators
Step 10 - Java Character Data Type char - Representation and Conversion
Step 11 - Java char Data Type - Exercises 1 - isVowel
Step 12 - Java char Data Type - Exercises 2 - isDigit
Step 13 - Java char Data Type - Exercises 3 - isConsonant, List Upper Case and Lower Case Characters
Step 14 - Primitive Data Types in Depth - Conclusion
Conditionals
Step 00 - Conditionals with Java - Section Overview
Step 01 - Introduction to If Else Statement
Step 02 - Introduction to Nested If Else
Step 03 - If Else Statement - Puzzles
Step 04 - If Else Problem - How to get User Input in Java?
Step 05 - If Else Problem - How to get number 2 and choice from user?
Step 06 - If Else Problem - Implementing with Nested If Else
Step 07 - Java Switch Statement - An introduction
Step 08 - Java Switch Statement - Puzzles - Default, Break and Fall Through
Step 09 - Java Switch Statement - Exercises - isWeekDay, nameOfMonth, nameOfDay
Step 10 - Java Ternary Operation - An Introduction
Step 11 - Conditionals with Java - Conclusion
Loops
Step 00 - Java Loops - Section Introduction
Step 01 - Java For Loop - Syntax and Puzzles
Step 02 - Java For Loop - Exercises Overview and First Exercise Prime Numbers
Step 03 - Java For Loop - Exercise - Sum Upto N Numbers and Sum of Divisors
Step 04 - Java For Loop - Exercise - Print a Number Triangle
Step 05 - While Loop in Java - An Introduction
Step 06 - While Loop - Exericises - Cubes and Squares upto limit
Step 07 - Do While Loop in Java - An Introduction
Step 08 - Do While Loop in Java - An Example - Cube while user enters positive numbers
Step 09 - Introduction to Break and Continue
Step 10 - Selecting Loop in Java - For vs While vs Do While
Reference Types
Step 00 - Java Reference Types - Section Introduction
Step 01 - Reference Types - How are they stored in Memory?
Step 02 - Java Reference Types - Puzzles
Step 03 - String class - Introduction and Exercise - Print each word and char on a new line
Step 04 - String class - Exercise Solution and Some More Important Methods
Step 05 - Understanding String is Immutable and String Concat, Upper Case, Lower Case, Trim methods
Step 06 - String Concatenation and Join, Replace Methods
Step 07 - Java String Alternatives - StringBuffer and StringBuilder
Step 08 - Java Wrapper Classes - An Introduction - Why and What?
Step 09 - Java Wrapper Classes - Creation - Constructor and valueOf
Step 10 - Java Wrapper Classes - Auto Boxing and a Few Wrapper Constants - SIZE, BYTES, MAX_VALUE and MIN_VALUE
Step 11 - Java Dates - Introduction to LocalDate, LocalTime and LocalDateTime
Step 12 - Java Dates - Exploring LocalDate - Creation and Methods to play with Date
Step 13 - Java Dates - Exploring LocalDate - Comparing Dates and Creating Specific Dates
Step 14 - Java Reference Types - Conclusion
Arrays and ArrayLists
Step 00 - Introduction to Array and ArrayList - Section Introduction with a Challenge
Step 01 - Understanding the need and Basics about an Array
Step 02 - Java Arrays - Creating and Accessing Values - Introduction
Step 03 - Java Arrays - Puzzles - Arrays of Objects, Primitive Data Types, toString and Exceptions
Step 04 - Java Arrays - Compare, Sort and Fill
Step 05 - Java Arrays - Exercise - Create Student Class - Part 1 - Total and Average Marks
Step 06 - Java Arrays - Exercise - Create Student Class - Part 2 - Maximum and Minimum Mark
Step 07 - Introduction to Variable Arguments - Need
Step 08 - Introduction to Variable Arguments - Basics
Step 09 - Introduction to Variable Arguments - Enhancing Student Class
Step 10 - Java Arrays - Using Person Objects and String Elements with Exercises
Step 11 - Java String Arrays - Exercise Solutions - Print Day of Week with Most number of letters and more
Step 12 - Adding and Removing Marks - Problem with Arrays
Step 13 - First Look at ArrayList - An Introduction
Step 14 - First Look at ArrayList - Refactoring Student Class to use ArrayList
Step 15 - First Look at ArrayList - Enhancing Student Class with Add and Remove Marks
Step 16 - Introduction to Array and ArrayList - Conclusion
Object Oriented Programming Again
Step 00 - Object Oriented Programming - Level 2 - Section Introduction
Step 01 - Basics of Designing a Class - Class, Object, State and Behavior
Step 02 - OOPS Example - Fan Class - Deciding State and Constructors
Step 03 - OOPS Example - Fan Class - Deciding Behavior with Methods
Step 04 - OOPS Exercise - Rectangle Class
Step 05 - Understanding Object Composition with Customer Address Example
Step 06 - Understanding Object Composition - An Exercise - Books and Reviews
Step 07 - Understanding Inheritance - Why do we need it?
Step 08 - Object is at top of Inheritance Hierarchy
Step 09 - Inheritance and Overriding - with toString() method
Step 10 - Java Inheritance - Exercise - Student and Employee Classes
Step 11 - Java Inheritance - Default Constructors and super() method call
Step 12 - Java Inheritance - Puzzles - Multiple Inheritance, Reference Variables and instanceof
Step 13 - Java Abstract Class - Introductio
Step 14 - Java Abstract Class - First Example - Creating Recipes with Template Method
Step 15 - Java Abstract Class - Puzzles
Step 16 - Java Interface - Example 1 - Gaming Console - How to think about Intefaces?
Step 17 - Java Interface - Example 2 - Complex Algorithm - API defined by external team
Step 18 - Java Interface - Puzzles - Unimplemented methods, Abstract Classes, Variables, Default Methods and more
Step 19 - Java Interface vs Abstract Class - A Comparison
Step 20 - Java Interface Flyable and Abstract Class Animal - An Exercise
Step 21 - Polymorphism - An introduction
Collections
Step 01 - Java Collections - Section Overview with Need For Collections
Step 02 - List Interface - Introduction - Position is King
Step 03 - List Inteface - Immutability and Introduction of Implementations - ArrayList, LinkedList and Vector
Step 04 - List Inteface Implementations - ArrayList vs LinkedList
Step 05 - List Inteface Implementations - ArrayList vs Vector
Step 06 - List Inteface - Methods to add, remove and change elements and lists
Step 07 - List and ArrayList - Iterating around elements
Step 08 - List and ArrayList - Choosing iteration approach for printing and deleting elements
Step 09 - List and ArrayList - Puzzles - Type Safety and Removing Integers
Step 10 - List and ArrayList - Sorting - Introduction to Collections sort static method
Step 11 - List and ArrayList - Sorting - Implementing Comparable Inteface in Student Class
Step 12 - List and ArrayList - Sorting - Providing Flexibility by implementing Comparator interface
Step 13 - List and ArrayList - A Summary
Step 14 - Set Interface - Introduction - No Duplication
Step 15 - Understanding Data Structures - Array, LinkedList and Hashing
Step 16 - Understanding Data Structures - Tree - Sorted Order
Step 17 - Set Interface - Hands on - HashSet, LinkedHashSet and TreeSet
Step 18 - Set Interface - Exercise - Find Unique Characters in a List
Step 19 - TreeSet - Methods from NavigableSet - floor,lower,upper, subSet, head and tailSet
Step 20 - Queue Interface - Process Elements in Order
Step 21 - Introduction to PriorityQueue - Basic Methods and Customized Priority
Step 22 - Map Interface - An Introduction - Key and Value
Step 23 - Map Interface - Implementations - HashMap, HashTable, LinkedHashMap and TreeMap
Step 24 - Map Interface - Basic Operations
Step 25 - Map Interface - Comparison - HashMap vs LinkedHashMap vs TreeMap
Step 26 - Map Interface - Exercise - Count occurances of characters and words in a piece of text
Step 27 - TreeMap - Methods from NavigableMap - floorKey, higherKey, firstEntry, subMap and more
Step 28 - Java Collections - Conclusion with Three Tips
Generics
Step 01 - Introduction to Generics - Why do we need Generics?
Step 02 - Implementing Generics for the Custom List
Step 03 - Extending Custom List with a Generic Return Method
Step 04 - Generics Puzzles - Restrictions with extends and Generic Methods
Step 05 - Generics and WildCards - Upper Bound and Lower Bound
Introduction to Functional Programming
Step 01 - Introduction to Functional Programming - Functions are First Class Citizens
Step 02 - Functional Programming - First Example with Function as Parameter
Step 03 - Functional Programming - Exercise - Loop a List of Numbers
Step 04 - Functional Programming - Filtering - Exercises to print odd and even numbers from List
Step 05 - Functional Programming - Collect - Sum of Numbers in a List
Step 06 - Functional Programming vs Structural Programming - A Quick Comparison
Step 07 - Functional Programming Terminology - Lambda Expression, Stream and Operations on a Stream
Step 08 - Stream Intermediate Operations - Sort, Distinct, Filter and Map
Step 09 - Stream Intermediate Operations - Exercises - Squares of First 10, Map String List to LowerCase and Length of String
Step 10 - Stream Terminal Operations - 1 - max operation with Comparator
Step 11 - Stream Terminal Operations - 2 - min, collect to List,
Step 12 - Optional class in Java - An Introduction
Step 13 - Behind the Screens with Functional Interfaces - Implement Predicate Interface
Step 14 - Behind the Screens with Functional Interfaces - Implement Consumer Interface
Step 15 - Behind the Screens with Functional Interfaces - Implement Function Inteface for Mapping
Step 16 - Simplify Functional Programming code with Method References - static and instance methods
Step 17 - Functions are First Class Citizens
Step 18 - Introduction to Functional Programming - Conclusion
Introduction to Threads And Concurrency
Step 01 - Introduction to Threads and MultiThreading - Need for Threads
Step 02 - Creating a Thread for Task1 - Extending Thread Class
Step 03 - Creating a Thread for Task2 - Implement Runnable Interface
Step 04 - Theory - States of a Thread
Step 05 - Placing Priority Requests for Threads
Step 06 - Communication between Threads - join method
Step 07 - Thread utility methods and synchronized keyword - sleep, yield
Step 08 - Need for Controlling the Execution of Threads
Step 09 - Introduction to Executor Service
Step 10 - Executor Service - Customizing number of Threads
Step 11 - Executor Service - Returning a Future from Thread using Callable
Step 12 - Executor Service - Waiting for completion of multiple tasks using invokeAll
Step 13 - Executor Service - Wait for only the fastest task using invokeAny
Step 14 - Threads and MultiThreading - Conclusion
Introduction to Exception Handling
Step 01 - Introduction to Exception Handling - Your Thought Process during Exception Handling
Step 02 - Basics of Exceptions - NullPointerException and StackTrace
Step 03 - Basics of Handling Exceptions - try and catch
Step 04 - Basics of Handling Exceptions - Exception Hierarchy, Matching and Catching Multiple Exceptions
Step 05 - Basics of Handling Exceptions - Need for finally
Step 06 - Basics of Handling Exceptions - Puzzles
Step 07 - Checked Exceptions vs Unchecked Exceptions - An Example
Step 08 - Hierarchy of Errors and Exceptions - Checked and Runtime
Step 09 - Throwing an Exception - Currencies Do Not Match Runtime Exception
Step 10 - Throwing a Checked Exception - Throws in method signature and handling
Step 11 - Throwing a Custom Exception - CurrenciesDoNotMatchException
Step 12 - Write less code with Try with Resources - New Feature in Java 7
Step 13 - Basics of Handling Exceptions - Puzzles 2
Step 14 - Exception Handling - Conclusion with Best Practices
Files and Directories
Step 01 - List files and folders in Directory with Files list method
Step 02 - Recursively List and Filter all files and folders in Directory with Step Files walk method and Search with find method
Step 03 - Read content from a File - Files readAllLines and lines methods
Step 04 - Writing Content to a File - Files write method
Step 05 - Files - Conclusion
More Concurrency with Concurrent Collections and Atomic Operations
Step 01 - Getting started with Synchronized
Step 02 - Problem with Synchronized - Less Concurrency
Step 03 - Enter Locks with ReEntrantLock
Step 04 - Introduction to Atomic Classes - AtomicInteger
Step 05 - Need for ConcurrentMap
Step 06 - Implementing an example with ConcurrentHashMap
Step 07 - ConcurrentHashMap uses different locks for diferrent regions
Step 08 - CopyOnWrite Concurrent Collections - When reads are more than writes
Step 09 - Conclusion
Java Tips
Java Tip 01 - Imports and Static Imports
Java Tip 02 - Blocks
Java Tip 03 - equals method
Java Tip 04 - hashcode method
Java Tip 05 - Class Access Modifiers - public and default
Java Tip 06 - Method Access Modifiers - public, protected, private and default
Java Tip 07 - Final classes and Final methods
Java Tip 08 - Final Variables and Final Arguments
Java Tip 09 - Why do we need static variables?
Java Tip 09 - Why do we need static methods?
Java Tip 10 - Static methods cannot use instance methods or variables
Java Tip 11 - public static final - Constants
Java Tip 12 - Nested Classes - Inner Class vs Static Nested Class
Java Tip 13 - Anonymous Classes
Java Tip 14 - Why Enum and Enum Basics - ordinal and values
Java Tip 15 - Enum - Constructor, variables and methods
Java Tip 16 - Quick look at inbuild Enums - Month, DayOfWeek
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