Advanced Python

Welcome to Advanced Python:

Welcome to Advanced Python. Let’s begin!

Computers, as you may know, rely entirely on programme code to function properly. So, there are a plethora of programming languages available to aid developers in the creation of applications. However Python is an easy-to-use, comprehensive, and powerful high-level, interpreted, and general-purpose programming language. The Python programming language was created by Guido van Rossum (referred to as its father) in 1991.

Above all, in comparison to other languages like Java, Perl, PHP, and Ruby, Python is a widely used dynamic programming language. It also refer to as a scripting language. However it supports automatic memory management, multiple programming paradigms, and implements object-oriented programming’s fundamental concepts (OOP).

Python’s library supports a variety of Internet protocols, including FTP and IMAP. Python has a lot of cool applications. Advanced content management systems such as Plone and Django CMS, as well as frameworks such as Django and Pyramid, use it. Due to lazy evaluation, Python has an amazing standard library called itertools that provides a number of functions that assist in writing clean, fast, and memory-efficient code. It is a Python module that implements various iterator building blocks, which when combined form ‘iterator algebra,’ allowing for the efficient development of Python tools.

What you’ll learn:

Are you a Python student who seek to better your grasp of the language? This course might be exactly what you’re looking for! We’ll go over some advanced python skills in this course. Therefore you can take your programming skills to the next level. So, We’ll learn new concepts that will give you the flexibility to create clean, effective code and turn you into a true Python programmer.

You will expand your Python skills by taking this course. Here’s what you’ll explore:

  • 1-How to use logs in Python to help debug and track your software.
  • 2-How to write clean, efficient programmes using functional programming, a coding paradigm that is occasionally employed by software engineers instead of object-oriented programming.
  • 3-How to use concurrent programming to implement code more efficiently using the threading, multiprocessing, and asyncio modules.
  • 4-How to do database operations in Python using sqlite3.
  • 5-How to deploy a simple Python script using Flask.

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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