Learn Python Programming from A-Z: Beginner To Expert Course

Become a professional Python Developer and learn how to easily create programs, apps, scripts, games and so much more...

Created by : Rated :4.6 14964 views

Last Updated: 2022-07-19 03:07:38 English Course Type: Self Learning

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

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 00:00:00
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

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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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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. â€‹ 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.