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Python Programming Masterclass: Build Real World Project [Free Online Course] - TechCracked

Python Programming Masterclass: Build Real World Project

Practical Python Programming Course: Learn To Build Real World Projects & Case Studies With Python



What you'll learn

  • Understand how to use frameworks like Django will save you a ton of time in web development
  • Improve your web development and coding resume
  • Be able to connect Django to databases
  • Learn how to use Python in Web Development
  • Understand various Django Functions


Description

Python is one of the most loved programming languages by developers, data scientists, software engineers, and even hackers because of its versatility, flexibility, and object-oriented features. Many of the web and mobile applications we enjoy today is because of Python’s abundant libraries, various frameworks, vast collections of modules, and file extensions. Not only that, Python is great for building micro-project to macro enterprise web services as well as for supporting other types of programming languages.

Although it’s a high-level language and can do complex tasks, Python is easy to learn and has a clean syntax. Therefore, it's recommendable for both beginners and experienced programmers. Also, there are plenty of ways on how to learn Python; you can do self-study, enroll yourself in coding Bootcamp or school or watch online tutorials. The choice is yours to make!

Python has the upper hand when it comes to supporting a number of programming paradigms like object-oriented programming, functional programming, empirical programming, and structured programming. Python can be used to develop both large and small applications. You can use it to engineer and produce various applications such as; games, android, multi-software, and web applications. Thanks to its dynamic and strongly typed nature that helps in earlier error detections.

Moreover, Python has built-in functions to test variable types and proper usage. It also has automatic memory management for managing and dealing with several dynamic storage management which is useful for sharing, segmentation, preallocation, or caching.


Also See : Python for Data Science - Great Learning

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