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Python Web Development with Django and Bootstrap, HTML, CSS - Django and Python Web development with HTML, CSS, Bootstrap 4. Build responsive websites with Django and Python

Created by Oak Academy

Welcome to Python Web Development with Django and Bootstrap, HTML, CSS course.

Django and Python Web development with HTML, CSS, Bootstrap 4. Build responsive websites with Django and Python

Django, python web development, python, python Django, django bootstrap, django web development, web development with bootstrap python python & django, bootstrap, web development python, web development with python, bootstrap django, django python

What you'll learn

• Learn to use the latest HTML5 and CSS3 to add unique styling to Bootstrap. Full Stack Web development, python, django, python django, django bootstrap, html css
• Learn and create amazing high quality Bootstrap 4 themes and UIs from scratch
• Start learning from scratch and learn about every Python 3 topic with hands-on examples
• Learn how to setting up Python, PostgreSQL, Visual Studio Code, Postgres App, PgAdmin on Mac
• Get a crash course of the Bootstrap Grid System with the theme layout
• We will improve our knowledge step by step by learning the basics of CSS
• Create a beautiful, responsive landing page for any one
• Learn the difference in usage between block level and inline elements in HTML
• Free software and tools used during the python web development course
• You will be able to work with Python functions, namespaces and modules
• Apply the Python knowledge you get from this course in coding exercises, real-life scenarios
• Understand how to use Python and Django Framework
• Understand Django basics like Models, HTTP, Processes
• Learn Django Templates basics and configurations
• Each aspect of creating websites and applications entails a unique set of skills. Udemy offers a host of courses to bring you up to speed on modern front-end
• The world of web development is as wide as the internet itself. Much of our social and vocational lives play out on the internet, which prompts new industries
• What is web development? Web development is a broad description of the tasks and technologies that go into creating a website.
• Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction
• What is Python? Python is a general-purpose, object-oriented, high-level programming language.
• Python vs. R: what is the Difference? Python and R are two of today's most popular programming tools.
• What does it mean that Python is object-oriented? Python is a multi-paradigm language, which means that it supports many programming approaches.
• What are the limitations of Python? Python is a widely used, general-purpose programming language, but it has some limitations.
• How is Python used? Python is a general programming language used widely across many industries and platforms.
• Django is an excellent framework for new web developers and efficiency-minded veterans alike.
• What is Django? Django is a Python-based Web Application Framework that follows the Model-View-Controller architectural pattern.
• What is Django used for? As an MVC Web Application Framework, many use Django to develop and deploy web applications rapidly.
• Who uses Django? Python programmers who are interested in a low code development prefer Django for its “don’t repeat yourself” model.
• What is the model-view-controler (MVC) architectural pattern? The Model-View-Controller architectural pattern (MVC) is a type of software pattern for creating
• Bootstrap is a free frontend web development framework for creating responsive websites.
• HTML, or hypertext markup language, is computer code used to create web pages and emails. Web developers, email marketers, web writers, and many others use HTML

Preview this Course

Free Coupon Discount - Master React v16.6.3 and Redux with React Router, Webpack, and Create-React-App. Includes Hooks! | Created by Stephen Grider

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Description
Course Last Updated for React v16.6.3 and Redux v4.0.1!  All content is brand new!  Update includes detailed videos on the new React Hooks system.

Congratulations!  You've found the most popular, most complete, and most up-to-date resource online for learning React and Redux!

Thousands of other engineers have learned React and Redux, and you can too.  This course uses a time-tested, battle-proven method to make sure you understand exactly how React and Redux work, and will get you a new job working as a software engineer or help you build that app you've always been dreaming about.

The difference between this course and all the others: you will understand the design patterns used by top companies to build massively popular web apps.

React is the most popular Javascript library of the last five years, and the job market is still hotter than ever.  Companies large and small can't hire engineers who understand React and Redux fast enough, and salaries for engineers are at an all time high.  It's a great time to learn React!

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What will you build?

This course features hundreds of videos with dozens of custom diagrams to help you understand how React and Redux work.  No prior experience with either is necessary. Through tireless, patient explanations and many interesting practical examples, you'll learn the fundamentals of building dynamic and live web apps using React.

Each topic included in this course is added incrementally, to make sure that you have a solid foundation of knowledge.  You'll find plenty of discussion added in to help you understand exactly when and where to use each feature of React and Redux.

My guarantee to you: there is no other course online that teaches more features of React and Redux.  This is the most comprehensive resource there is.



Below is a partial list of the topics you'll find in this course:

Master the fundamental features of React, including JSX, state, and props

From square one, understand how to build reusable components

Dive into the source code of Redux to understand how it works behind the scenes

Test your knowledge and hone your skills with numerous coding exercises

Integrate React with advanced browser features, even geolocation API's!

Use popular styling libraries to build beautiful apps

Master different techniques of deployment so you can show off the apps you build!

See different methods of building UI's through composition of components



Besides just React and Redux, you'll pick up countless other tidbits of knowledge, including ES2015 syntax, popular design patterns, even the clearest explanation of the keyword 'this' in Javascript that you'll ever hear.

This is the course I wanted to take when I first learned React: complete, up-to-date, and clear.



Who this course is for:
Programmers looking to learn React
Developers who want to grow out of just using jQuery
Engineers who have researched React but have had trouble mastering some concepts

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Free Coupon Discount - Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning | Created by 365 Careers, 365 Careers Team

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• The Complete Digital Marketing Course - 12 Courses in 1
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Description
The Problem

Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.  

However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.

And how can you do that?

Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming)

Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture

The Solution

Data science is a multidisciplinary field. It encompasses a wide range of topics.

Understanding of the data science field and the type of analysis carried out

Mathematics

Statistics

Python

Applying advanced statistical techniques in Python

Data Visualization

Machine Learning

Deep Learning

Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python before knowing what a regression is.

So, in an effort to create the most effective, time-efficient, and structured data science training available online, we created The Data Science Course 2020.

We believe this is the first training program that solves the biggest challenge to entering the data science field – having all the necessary resources in one place.

Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save).

The Skills

   1. Intro to Data and Data Science

Big data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean?  

Why learn it? As a candidate data scientist, you must understand the ins and outs of each of these areas and recognise the appropriate approach to solving a problem. This ‘Intro to data and data science’ will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science.

   2. Mathematics

Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail.

We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on.

Why learn it?

Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal.

   3. Statistics

You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist.

Why learn it?

This course doesn’t just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist.

   4. Python

Python is a relatively new programming language and, unlike R, it is a general-purpose programming language. You can do anything with it! Web applications, computer games and data science are among many of its capabilities. That’s why, in a short space of time, it has managed to disrupt many disciplines. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning.

Why learn it?

When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as scikit-learn, TensorFlow, etc, Python is a must have programming language.

   5. Tableau

Data scientists don’t just need to deal with data and solve data driven problems. They also need to convince company executives of the right decisions to make. These executives may not be well versed in data science, so the data scientist must but be able to present and visualise the data’s story in a way they will understand. That’s where Tableau comes in – and we will help you become an expert story teller using the leading visualisation software in business intelligence and data science.

Why learn it?

A data scientist relies on business intelligence tools like Tableau to communicate complex results to non-technical decision makers.

   6. Advanced Statistics

Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail.

Why learn it?

Data science is all about predictive modelling and you can become an expert in these methods through this ‘advance statistics’ section.

   7. Machine Learning

The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with TensorFlow.

Why learn it?

Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines.

***What you get***

A $1250 data science training program

Active Q&A support

All the knowledge to get hired as a data scientist

A community of data science learners

A certificate of completion

Access to future updates

Solve real-life business cases that will get you the job

You will become a data scientist from scratch

We are happy to offer an unconditional 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.

Why wait? Every day is a missed opportunity.

Click the “Buy Now” button and become a part of our data scientist program today.



Who this course is for:
You should take this course if you want to become a Data Scientist or if you want to learn about the field
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

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