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In this course, we will be using Django 3 to build 3 stunning websites with HTML5, CSS3, and Bootstrap 4. This format will allow you to learn Django and not just follow along like a robot. We will use Python in this course, so if you have never used Python before, we will start with a Python refresher to get you up to speed (no other Python experience required).
Gain proficiency in the mastery of Geographic Information Systems (GIS) via ArcGIS Desktop
State machines-the fundamental concept used today in many practical applications, starting from UI programming such as React, automated reply systems, lexical analysis in parsers, and formal language theory. In this course, we will study the automata theory on the practical example of implementing a regular expressions machine.
There are quite a few issues with manual memory management. Therefore, to avoid memory leaks and optimally use your memory, automatic memory management is essential. In this course, we'll learn about garbage collection as a form of automatic memory management.
Building a parser is one of the early steps of designing a compiler. And to build a parser, it is important to learn about the different parsing techniques and how they work. In this course, we are going to learn just that.
Docker enables you to separate your applications from your infrastructure so that you can deliver software quickly. With this course, you'll learn to run Windows Containers, Dockerize ASP.NET Core/Frameworks apps, and set up CI Pipelines with Azure DevOps. Familiarity with .NET Framework and .NET Core application deployment workflows is required.
In this course, we'll create Python APIs with the Django REST framework. We'll be using an existing project called Todo and learn how to add an API to it. This course requires beginner-level experience with Django; if you've created a Django project before, it will be beneficial.
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