Intermediate Python

Welcome to Intermediate Python:

Python is a general-purpose programming language with uses in web development, data science, machine learning, fintech, and other fields. The Intermediate Python Nanodegree program will teach you how to use Python’s features to streamline the functionality of applications that perform complex tasks like classifying files, data mining a webpage, and so on.

Once you’ve mastered the fundamentals, you can move on to our intermediate-level tutorials, where you’ll learn new Python concepts. So, this category is for intermediate Python developers who are already familiar with the fundamentals of Python development.

The Object Oriented Programming (OOP) paradigm is used to write Python code that meets the above standards. Another paradigm, called Functional Programming (FP), does exist, and there are bloody wars fought over which is superior. We’re going to use Object-Oriented Programming (OOP). Either of these options is preferable to outright scripting, which is what most inexperienced programmers do.

If you’re new to Python, we recommend starting with our Python Basics category. Then will walk you through the Python language concepts from beginning to end, even if you’re a complete beginner.

It takes time to become a Python expert, but with practise, you’ll be able to master this beautiful programming language. It’ll be well worth it! Check out our Advanced Python Tutorials section when you’re ready to move on to more difficult topics.

Python has grown in prominence throughout time, from an obscure programming language to one of the most popular and frequently used languages on the planet.

What you’ll learn:

You’ll learn advanced topics in this Advanced Python course, which will set you apart from the vast majority of Python developers. You’ll start by looking at how to acquire finer control over attribute access. After that, you’ll learn how to prevent class-object construction. Finally, you’ll discover Python’s subtle but powerful controls over class connections. You’ll know enough Python by the end of this advanced Python course to understand advanced strategies for implementing intricate frameworks and much more.

Helpful Tools:

Here are some useful tools to help you along your journey!

Setting up an IDE (Integrated Development Environment) can be difficult for beginners. The Online Compiler will enable you to run your code inside your browser without the need to install an IDE. If you need a more detailed explanation of a specific topic, the best place to find answers is in the Official Documentation.

Course Content

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