Want to learn python from scratch and free?. Well, you got yourself in the right place. I am sharing a whole python course for beginners for free. Actually, it’s not mine, neither you will find a downloadable package like the one I shared for Php Tutorials. I started learning from Mosh from his YouTube channel: Programming with Mosh and found it very easy to learn python, so thought to share it with you guys as well. 

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Python for Beginners by Mosh

Python tutorial – Python for beginners

Go from Zero to Hero with Python (includes machine learning & web development project).

In this Python course, you will learn everything you need to get started with programming in python. 

Python is the world’s fastest-growing and most popular programming language. Not just among software developers but also among mathematicians, data analysts, scientists accountants network engineers, and even kids. In fact, it’s the ideal programming language to learn first.

But what makes python so specials. Here are 6 reasons.

1: With python, you can solve complex problems in less time with fewer lines of code. That’s why huge companies like Google, Spotify, Dropbox, and Facebook embrace this beautiful and powerful programming language.

Here is an example. Let’s we want to extract the first three characters of the text “Hello World“.

This is the code you will have to write for it in

C#: str.Substring(0,3)

Javascript: str.substr(0,3)

and here is the code for python: str[0:3], see how clean and simple the language is, and it’s just the beginning. 

2. Python is a multi-purpose programming language, you can use it for a wide range of jobs. Such as data analysis, AI and machine learning, writing automation scripts, building web, mobile, and desktop applications, as well as software testing OR even hacking. So if you want a high-paying long-lasting career in any of these areas, especially in AI and machine learning, Python is the language to put those opportunities at your fingers tip.

Here are the 4 more reasons, that make python the most desirable language. 

  1. Python is a higher-level language, so you don’t worry about complex tasks. Such memory management as you would do in C++.
  2. Python is cross-platform, which means you can build and run python apps on windows, mac, and Linux.
  3. It has a huge community, so whenever you get stuck, there is always someone out there to help.
  4. And it has a large ecosystem of libraries, frameworks, and tools. Whatever you wanna do, likely, someone has already done it before, because python has been around for almost 20 years.

What you can do with python?

Python is a multi-purpose programming language, so you can use it for a variety of different tasks. You can use python for machine learning and AI, python is the number programming language for AI and data science projects.

Python is also very popular in web development, using python and a framework called Django. You can build amazing websites, here are five websites that are build using python and Django. (Youtube, Instagram, Spotify, Dropbox, and Pinterest). You can also use python for automation, with python you can save time and increase your productivity by automating repetitive tasks. 

If you want to learn python programming for data science, machine learning, or web development. This python tutorial is the perfect place to learn python, you don’t need any prior knowledge in python or programming in general. You will learn everything from scratch.

Python is one of the most popular programming languages, and everyday people use it to do cool things like automation, A. I as well as building applications and websites (like Instagram, Dropbox and many more). So if you are looking for a job/ earning source, python is for you. In fact, according to indeed.com the average salary of a python developer in the US was $115,835 in March 2018.

About Python Course

The course instructor’s name is Mosh, a software engineer with 2 decades of experience. He has taught over 2 million students.

In this course, Mosh will teach you everything you need to get started with python. We gonna talk about all the core concepts of python and then we gonna build three python projects together. You will learn how to create an e-commerce website using a popular python framework using Django. If you haven’t build any website before, don’t worry you will learn all you need to build your own website in python. You will learn everything from scratch, all the way to use python in machine learning and even in A. I small project. So you will learn to write a python program to predict what kinda music people like on basis of their profile, just like how YouTube recommends videos on user’s interests or previously watched videos. You will also learn how to automate your excel spreadsheets task using python. 

Mosh has designed this python course for anyone who wants to learn python. If you are a beginner don’t worry, you will find this entire course very friendly and helpful. You are not too old or too young to start learning python. You can write your first python code literally in seconds. You will also get plenty of coding exercises during this course to learn python way better.

The course is purely designed to learn python very easily, I am myself a beginner and found this python for beginners course very helpful. In fact, while I was learning, I coded my own Facebook Email Bruter and B64 Crypter using Python. For me, it’s pretty much a full course to get started with python and automate your work. It covers all concepts even from installing python, up to covering 3 different projects including Building a Website with Django.

Want to master Python? 

Python learning course for beginners (Includes)

  1. Introduction
  2. Installing Python 3
  3. Your First Python Program
  4. How Python Code Gets Executed 
  5. How Long It Takes To Learn Python 
  6. Variables
  7. Receiving Input
  8. Python Cheat Sheet
  9. Type Conversion
  10. Strings
  11. Formatted Strings
  12. String Methods
  13. Arithmetic Operations
  14. Operator Precedence
  15. Math Functions
  16. If Statements
  17. Logical Operators
  18. Comparison Operators
  19. Weight Converter Program 
  20. While Loops
  21. Building a Guessing Game
  22. Building the Car Game
  23. For Loops
  24. Nested Loops
  25. Lists
  26. 2D Lists
  27. List Methods
  28. Tuples
  29. Unpacking
  30. Dictionaries
  31. Emoji Converter
  32. Functions
  33. Parameters
  34. Keyword Arguments 
  35. Return Statement
  36. Creating a Reusable Function 
  37. Exceptions
  38. Comments
  39. Classes
  40. Constructors
  41. Inheritance
  42. Modules
  43. Packages
  44. Generating Random Values
  45. Working with Directories 
  46. Pypi and Pip
  47. Project 1: Automation with Python
  48. Project 2: Machine Learning with Python 
  49. Project 3: Building a Website with Django