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The Complete Guide To Mastering Python In 2024

  • Development
  • Mar 12, 2025
SynopsisThe Complete Guide To Mastering Python In 2024, available at...
The Complete Guide To Mastering Python In 2024  No.1

The Complete Guide To Mastering Python In 2024, available at $89.99, has an average rating of 4.68, with 174 lectures, 9 quizzes, based on 687 reviews, and has 4244 subscribers.

You will learn about Master the most important concepts of the Python language, and start using them from day 1. You will be able to program with the Python language professionally. Expand your thinking in ways you never thought possible. Start building your own career with a new advanced skillset. Gain confidence in creating your own projects. Create and host your very own API. AsyncIO Multithreading Multiprocessing This course is ideal for individuals who are Those who are ready to take a serious step into a future with Python. It is particularly useful for Those who are ready to take a serious step into a future with Python.

Enroll now: The Complete Guide To Mastering Python In 2024

Summary

Title: The Complete Guide To Mastering Python In 2024

Price: $89.99

Average Rating: 4.68

Number of Lectures: 174

Number of Quizzes: 9

Number of Published Lectures: 172

Number of Published Quizzes: 8

Number of Curriculum Items: 183

Number of Published Curriculum Objects: 180

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: 94.99

Quality Status: approved

Status: Live

What You Will Learn

  • Master the most important concepts of the Python language, and start using them from day 1.
  • You will be able to program with the Python language professionally.
  • Expand your thinking in ways you never thought possible.
  • Start building your own career with a new advanced skillset.
  • Gain confidence in creating your own projects.
  • Create and host your very own API.
  • AsyncIO
  • Multithreading
  • Multiprocessing
  • Who Should Attend

  • Those who are ready to take a serious step into a future with Python.
  • Target Audiences

  • Those who are ready to take a serious step into a future with Python.
  • Are you ready to become a true Python programmer and learn some of the most demanded skills on the market in programming for 2024?

    Who is this course for?

    This course is for anyone who wants to gain a very profound understanding of the Python language, so that you can take advantage of one of the most important tools of the century. Whether your are a beginner, or have experience with code, I will start from the very basics, and build up to the most important and advanced aspects of the Python programming language. You will also have the option to ask questions at any point during the course to profound your understanding of the Python programming language.

    Why should you pick this course and not the others?

    There are thousands of Python courses on the internet, so why should you pick this one? Well, to put it simply, I believe that I teach programming concepts in a far more effective way than a majority of the courses on the Internet. I make sure to only teach what’s essential and needed, so that you don’t waste time with code that you will never see or use in your entire career. I’m a self-taught professional and will teach you how you can be the same!

    30 Day Money-Back Guarantee

    During the first 30 days of this course you can opt in to get your money back. Whether it’s because you feel that this course is not right for you, or changed your mind about learning Python, you can easily request a refund which will be handled kindly by Udemy.

    Course Curriculum

    Chapter 1: Getting Started

    Lecture 1: Introduction

    Lecture 2: Preparation

    Chapter 2: Introduction to Python

    Lecture 1: Installation

    Lecture 2: Your First Program

    Lecture 3: Syntax Is Important

    Lecture 4: A Very Important Shortcut

    Lecture 5: Typing Comments

    Chapter 3: Python Basics

    Lecture 1: Creating Variables

    Lecture 2: What Are Constants?

    Lecture 3: The Data Types

    Lecture 4: Adding Type Hints

    Lecture 5: Type Conversion

    Lecture 6: Integers

    Lecture 7: The Basic Operators

    Lecture 8: Strings

    Lecture 9: F-Strings

    Lecture 10: Booleans

    Lecture 11: Lists

    Lecture 12: Tuples

    Lecture 13: Sets

    Lecture 14: Dictionaries

    Lecture 15: Formatting Shortcut

    Chapter 4: Control & Flow

    Lecture 1: IfElse

    Lecture 2: Shorthand IfElse

    Lecture 3: For Loop

    Lecture 4: While Loop

    Lecture 5: Break & Continue

    Lecture 6: Pass

    Lecture 7: LoopElse

    Chapter 5: Functions

    Lecture 1: Creating A Function

    Lecture 2: Parameters & Arguments

    Lecture 3: Returning From A Function

    Lecture 4: Recursion

    Lecture 5: *Args & **Kwargs

    Lecture 6: * & /

    Chapter 6: Error Handling

    Lecture 1: User Input

    Lecture 2: TryExcept

    Lecture 3: ElseFinally

    Lecture 4: Raise

    Lecture 5: Fixing Unknown Errors

    Chapter 7: Packages & Modules

    Lecture 1: Importing Modules

    Lecture 2: Importing Packages

    Lecture 3: Installing External Packages

    Lecture 4: Package VS. Library

    Chapter 8: Python Basics 2

    Lecture 1: The With Keyword

    Lecture 2: Refactoring

    Lecture 3: Truthy & Falsy

    Lecture 4: What Are Enums?

    Lecture 5: Comparing Floats

    Lecture 6: if __name__ == __main__

    Lecture 7: Scopes

    Lecture 8: Nonlocal & Global

    Chapter 9: Lists (Extended)

    Lecture 1: List Comprehensions

    Lecture 2: Slicing Lists With ::

    Lecture 3: Modifying Lists In A Loop

    Chapter 10: OOP

    Lecture 1: What is OOP?

    Lecture 2: Classes & Objects

    Lecture 3: What is self?

    Lecture 4: Class Variables & Instance Variables

    Lecture 5: Getters & Setters

    Lecture 6: __init__()

    Lecture 7: Constructors

    Lecture 8: __str__() & __repr__()

    Lecture 9: __eq__

    Lecture 10: Methods VS Functions

    Lecture 11: Private & Protected

    Lecture 12: Inheritance

    Lecture 13: super()

    Lecture 14: @classmethod & @staticmethod

    Lecture 15: @abstractmethod

    Lecture 16: Protocols

    Lecture 17: __init__ vs __new__

    Chapter 11: Built-in Functions

    Lecture 1: Built-ins

    Lecture 2: print()

    Lecture 3: enumerate()

    Lecture 4: round()

    Lecture 5: range()

    Lecture 6: globals()

    Lecture 7: locals()

    Lecture 8: all() & any()

    Lecture 9: isinstance()

    Lecture 10: callable()

    Instructors

  • The Complete Guide To Mastering Python In 2024  No.2
    Federico Azzurro
    Programming Instructor
  • Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 3 votes
  • 3 stars: 35 votes
  • 4 stars: 207 votes
  • 5 stars: 439 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!