Intermediate Python

Intermediate Python

✨ Level
🕗 Duration
💻 Practice
Intermediate
6-8 months
300+ coding exercises
Welcome to the mid-level course on Python! In this course, you will learn a lot about more advanced features of the language and some best practices for using those. This course is designed for people who already have some background in Python and would like to improve their knowledge and learn more advanced topics.
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At the end of this course, you’ll know how to use classes and be fluent in inheritance. We will cover best practices for writing code for larger projects and will use typing which helps in statically analyzing the code to detect errors. You will work with decorators and create your own utility decorators that will significantly reduce the code's size. We will discuss iterators and iterables along with the itertools standard library. glob and pathlib will be used to work with the filesystem. Most importantly, we will learn how to use async / await to optimize our code when working with large I/O, databases, and network requests.

💻 Learn By Doing

In this course, you learn by doing! Each concept has several interactive challenges that you will solve to pass on to the next one. We believe that hands-on learning is the best way to get in-depth knowledge. Here you will have many challenging and at the same time interesting exercises to practice each and every concept that is covered.
You will study at your own pace. You can go hard and complete several levels in one week, or take it slow and focus on each concept for longer.
There is a forum to ask questions and get unstuck. You can ask or answer the questions of others under each challenge.

🎓 Curriculum

This course focuses on the core concepts and some advanced features of Python and introduces each of them in an intuitive manner. To make the process more fun and engaging, the concepts are organized into levels, and passing each level means you’ve mastered a new concept. These are the main things we will be covering here:
Advanced functions
  • Positional-only & keyword-only arguments
  • Recursion
  • Pass by value VS pass by reference (mutable arguments)
Regular expressions
  • Basics and applications of regular expressions
  • Searching and matching
Classes
  • Defining classes
  • Setting and accessing attributes
  • The __init__ constructor
  • Defining methods inside classes
  • Magic methods
  • Public and private variables
Inheritance
  • Inheriting from a base class
  • Modifying the functionality by overriding a method
  • Extending the functionality with the help of super()
  • Inheriting from several base classes
Encapsulation
  • Private variables
  • Protected variables
  • How Python actually handles private and protected variables
Exceptions
  • raise and except
  • Exception hierarchy
  • Creating custom exceptions
Modules
  • Working with libraries
  • Modules in filesystem
  • Module initialization
  • importing variables, functions, and classes
Filesystem
  • glob to work with collections of files
  • pathlib to work with specific files
  • Removing files
  • Recursively creating/deleting the whole directory
Advanced Classes
  • Class variables VS instance variables
  • Built-in decorators (@dataclass, @property, @staticmethod, etc)
  • Abstract classes (ABC module)
Decorators
  • Decorators for functions
  • Decorators for classes
  • Creating custom decorators
Typing
  • Typing for built-in types (int, list, dict, etc)
  • Typing for custom classes
  • Typing inside a class
  • Static analysis - what can we accomplish and what are the limitations
Iterators and Iterables
  • Iterators
  • Generators
  • Iterables
  • itertools - cycle(), repeat(), chain(), etc
  • Creating a custom generator
  • Creating a custom iterable
Context managers
  • Implementing a custom context manager
  • Using with syntax
  • Context managers as decorators
Multithreading and Multiprocessing
  • the threading package
  • Creating a custom thread class
  • the multiprocessing package
  • Processing in pools
  • Sharing data between threads and processes
asyncio
  • async and await syntax for functions
  • Working with files
  • Working with network requests
  • Query through SQLAlchemy
  • asyncio vs threads and processes
Wrap-up and projects
  • Several supervised projects will sum up the whole material.
  • This will include a lot of googling and self-study.
  • You’ll automate some tasks and will learn some useful libraries

🚀 Welcome

Learning is 80% individual work! Completing this course will be your accomplishment and we’re here to support that journey. You can use the section at the bottom of each exercise to ask questions or help others.