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$29
  • How to become a professional Python Developer
  • How to use the basic Python structures: strings, lists, and dictionaries
  • How to use Python Object-Oriented Programming (OOP)
  • How to use core programming tools such as functions and loops
  • How to land your first job as a Python Developer
  • How to write Python scripts to perform automated actions
  • How to create your own Python programs from scratch
  • How to use variables to store, retrieve and calculate information

Welcome to the Learn Python Programming From A-Z: Beginner To Expert Course

Where you’re going to learn how to become a professional Python Developer and create programs, apps, scripts, games and so much more...

In this practical, hands-on course our main objective is to give you the education not just to understand the ins and outs of Python Programming, but also to learn exactly how the software development industry works, the different roles within a team, and how to land a Python Programming job without a degree.

Blending practical work with solid theoretical training, we take you from the basics of Python Programming to mastery, giving you the training you need not just to create software programs, scrape websites, and build automations, but also the foundational understanding of data science and visualization so you can become a well-rounded Python Programmer.

We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step.

Even if you already have some coding experience, or want to learn about the advanced features of Python, this course is for you! In this course, you’ll learn Python 3.

Python is the number one programming language choice for machine learning, data science, and artificial intelligence. In order to get those high paying programming jobs, you need the skills and knowledge of how to become an expert Python Programmer, and that’s exactly what you’ll learn in this course.

Together we’re going to give you the foundational education that you need to know not just on how to write code in Python, create various scripts and softwares but also how to get paid for your newly developed programming skills. The course covers 6 main areas:

1: PYTHON COURSE INTRO

This intro section gives you a full introduction to the Python industry and marketplace, job opportunities and salaries, and the various Python job roles.

  • Python Industry and Marketplace
  • Python Job Opportunities
  • Landing a Job w/o a Degree

2: BASIC/ADVANCED DATA TYPES

This section gives you a full introduction to the Python basic and advanced data types with hands-on step by step training.

  • Python Variables
  • Integers, Floats, and Complex Numbers
  • Strings
  • Operators
  • Lists, Tuples, Sets & Dictionary

3: PYTHON CONTROL FLOW

This section gives you a full introduction to the Python Control Flow with hands-on step by step training.

  • Basic/Complex Conditional Statements
  • For Loops, While Loops
  • Break/Continue Statements
  • Zip/Enumerate Keywords

4: BASIC/ADVANCED FUNCTIONS

This section gives you a full introduction to the Python basic and advanced functions with hands-on step by step training.

  • Help/Defining Function
  • Error Handling
  • Variable Scope
  • Doc Strings
  • Lambda Functions
  • Iterators + Generators
  • Map/Filter Functions

5: SCRIPTING & LIBRARIES (includes numpy, pandas)

This section gives you a full introduction to the scripting and libraries with hands-on step by step training.

  • Scripting Basics
  • Python IDEs
  • Python Text Editors
  • Third Party Libraries
  • Numpy + Pandas
  • Data Visualization
  • Webscraping

6: STARTING A CAREER IN PYTHON

This section gives you a full introduction to starting a career as a Python Programmer with hands-on step by step training.

  • Building a Brand
  • Personal Branding
  • Freelancing + Freelance websites
  • Importance of Having a website
  • Networking
  • Creating a Resume

By the end of the course you’ll be a professional Python Programmer and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.

  • No prior requirenments needed
  • All age group
View More...
  • Section 1 : Python Course Intro 7 Lectures 00:18:54

    • Lecture 1 :
    • Intro To Python Programming Preview
    • Lecture 2 :
    • What is Python Programming
    • Lecture 3 :
    • Who is This Course For
    • Lecture 4 :
    • Python Marketplace
    • Lecture 5 :
    • Python Job Opportunities
    • Lecture 6 :
    • Python Job Roles
    • Lecture 7 :
    • Python Course Structure
  • Section 2 : Getting Familiar With Python 11 Lectures 00:49:18

    • Lecture 1 :
    • Getting Familiar With Python (section overview)
    • Lecture 2 :
    • Installing Python in Windows
    • Lecture 3 :
    • Anaconda and Jupyter Notebooks
    • Lecture 4 :
    • Anaconda and Jupyter Notebooks
    • Lecture 5 :
    • Python Syntax
    • Lecture 6 :
    • Line Structure Exercise
    • Lecture 7 :
    • Line Structure
    • Lecture 8 :
    • Comments
    • Lecture 9 :
    • Joining Lines
    • Lecture 10 :
    • Multiple Statements on a Single Line
    • Lecture 11 :
    • Indentation
  • Section 3 : Python Data Types 9 Lectures 00:26:41

    • Lecture 1 :
    • Python Basic Data Types (section overview)
    • Lecture 2 :
    • Python Variables
    • Lecture 3 :
    • Integers and Float
    • Lecture 4 :
    • Strings Overview
    • Lecture 5 :
    • String Manipulation
    • Lecture 6 :
    • String Indexing
    • Lecture 7 :
    • String Slicing
    • Lecture 8 :
    • Booleans
    • Lecture 9 :
    • Printing
  • Section 4 : Python Operators 8 Lectures 00:21:47

    • Lecture 1 :
    • Python Operators (section overview)
    • Lecture 2 :
    • Arithmetic Operators
    • Lecture 3 :
    • Assignment Operators
    • Lecture 4 :
    • Comparison Operators
    • Lecture 5 :
    • Logical Operators
    • Lecture 6 :
    • Identity Operators
    • Lecture 7 :
    • Membership Operators
    • Lecture 8 :
    • Bitwise Operators
  • Section 5 : Python Advanced Data Types 8 Lectures 00:24:46

    • Lecture 1 :
    • Python Advanced Data Types (section overview)
    • Lecture 2 :
    • List Overview
    • Lecture 3 :
    • List Indexing and Slicing
    • Lecture 4 :
    • Tuples
    • Lecture 5 :
    • Sets
    • Lecture 6 :
    • Dictionary
    • Lecture 7 :
    • When to use each one
    • Lecture 8 :
    • Compound Data Types
  • Section 6 : Python Control Flow 1 6 Lectures 00:14:34

    • Lecture 1 :
    • Control Flow Part 1 (section overview)
    • Lecture 2 :
    • Intro to Control Flow
    • Lecture 3 :
    • Basic Conditional Statements
    • Lecture 4 :
    • More Conditional Statements
    • Lecture 5 :
    • For Loops
    • Lecture 6 :
    • While Loops
  • Section 7 : Python Control Flow 2 6 Lectures 00:14:54

    • Lecture 1 :
    • Control Flow Part 2 (section overview)
    • Lecture 2 :
    • Break Statements
    • Lecture 3 :
    • Continue Statements
    • Lecture 4 :
    • Zip Function
    • Lecture 5 :
    • Enumerate Function
    • Lecture 6 :
    • List Comprehension
  • Section 8 : Intro to Functions 6 Lectures 00:25:58

    • Lecture 1 :
    • Python Functions (section overview)
    • Lecture 2 :
    • Intro to Functions
    • Lecture 3 :
    • Python Help Function
    • Lecture 4 :
    • Defining Functions
    • Lecture 5 :
    • Variable Scope
    • Lecture 6 :
    • DocStrings
  • Section 9 : User Input and Error Handling 7 Lectures 00:28:27

    • Lecture 1 :
    • Error Handling and User Input (section overview)
    • Lecture 2 :
    • Intro to Error Handling
    • Lecture 3 :
    • User Input (need to edit space 1.17)
    • Lecture 4 :
    • Syntax Errors
    • Lecture 5 :
    • Exceptions
    • Lecture 6 :
    • Handling Exceptions 1
    • Lecture 7 :
    • Handling Exceptions 2
  • Section 10 : Advanced Functions 7 Lectures 00:19:34

    • Lecture 1 :
    • Python Advanced Functions (section overview)
    • Lecture 2 :
    • Lambda Functions
    • Lecture 3 :
    • Functions args and kwargs
    • Lecture 4 :
    • Iterators
    • Lecture 5 :
    • Generators and Yield
    • Lecture 6 :
    • Map Functions
    • Lecture 7 :
    • Filter
  • Section 11 : Scripting and Libraries 9 Lectures 00:33:31

    • Lecture 1 :
    • Scripting and Libraries
    • Lecture 2 :
    • What is a script.
    • Lecture 3 :
    • What is an IDE
    • Lecture 4 :
    • What is a text editor
    • Lecture 5 :
    • from jupyter notebook to vscode 1
    • Lecture 6 :
    • from jupyter notebook to vscode 2
    • Lecture 7 :
    • Importing Scripts
    • Lecture 8 :
    • Standard Libraries
    • Lecture 9 :
    • Third Party Libraries
  • Section 12 : NumPy 9 Lectures 00:50:48

    • Lecture 1 :
    • Numpy section overview
    • Lecture 2 :
    • What is NumPy
    • Lecture 3 :
    • Why NumPy
    • Lecture 4 :
    • NumPy Arrays
    • Lecture 5 :
    • Reshaping, Modifying and Accessing NumPy arrays
    • Lecture 6 :
    • Slicing and Copying
    • Lecture 7 :
    • Inserting , Deleting, Appending
    • Lecture 8 :
    • Logical Indexing
    • Lecture 9 :
    • Broadcasting
  • Section 13 : Pandas 6 Lectures 00:16:32

    • Lecture 1 :
    • Intro to Pandas
    • Lecture 2 :
    • Pandas Series
    • Lecture 3 :
    • Pandas Series Manipulation
    • Lecture 4 :
    • Pandas DataFrame
    • Lecture 5 :
    • Pandas DataFrame Manipulation
    • Lecture 6 :
    • Dealing with Missing Values
  • Section 14 : Intro to OOP 5 Lectures

    • Lecture 1 :
    • Functional vs OOP
    • Lecture 2 :
    • OOP Key Definitions
    • Lecture 3 :
    • Create your First Class
    • Lecture 4 :
    • How to Create and Use Objects
    • Lecture 5 :
    • How to Modify Attributes
  • Section 15 : Advanced OOP 5 Lectures 00:08:44

    • Lecture 1 :
    • Python Decorators
    • Lecture 2 :
    • Property Decorator
    • Lecture 3 :
    • Class Method Decorator
    • Lecture 4 :
    • Static Methods
    • Lecture 5 :
    • Inheritance from A to Z
  • Section 16 : Starting a Career in Python 8 Lectures 00:52:51

    • Lecture 1 :
    • Python Career Section Overview
    • Lecture 2 :
    • Getting Started with Freelancing
    • Lecture 3 :
    • Building A Brand
    • Lecture 4 :
    • Personal Branding
    • Lecture 5 :
    • Importance of Having Website/Blog
    • Lecture 6 :
    • Do's and Don'ts of Networking
    • Lecture 7 :
    • Top Freelance Websites
    • Lecture 8 :
    • Creating A Python Developer Resume
  • How do i access the course after purchase?

    It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
  • Are these video based online self-learning courses?

    Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
  • Can i play & pause the course as per my convenience?

    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
  • How do i contact the instructor for any doubts or questions?

    Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
  • Do i need a pc to access the course or can i do it on mobile & tablet as well?

    Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
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  • Can i cancel anytime?

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Juan Galvan,

Hi I'm Juan. I've been an Entrepreneur since grade school. I've started several companies, created many products and sold on various online marketplaces with great success. I'm currently a Digital Marketing Consultant and help businesses all over the world generate more leads and sales through digital marketing strategies. ​ I've learned the strategies, philosophies, methodologies, principles and core values from the most successful people in the world. I believe in continuous education with the best of a University Degree without all the downsides of burdensome costs and inefficient methods.
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