Python Programming From A-Z: Beginner To Expert Course

• Learn how to become a professional Python Developer

• How to land your first job as a Python Developer

• How to use the basic Python structures: strings, lists, and dictionaries

• How to write Python scripts to perform automated actions

• How to use Python Object-Oriented Programming (OOP)

• How to create your own Python programs from scratch

• How to use core programming tools such as functions and loops

• How to use variables to store, retrieve and calculate information

Reed courses certificate of completion

Digital certificate - Included

• Introduction to Python Programming from A-Z 51:14

  • 1: Intro to Python Section Overview Preview 05:21
  • 2: What is Python Programming? Preview 09:30
  • 3: Who is This Course For? Preview 04:33
  • 4: Python Programming Marketplace 05:47
  • 5: Python Job Opportunities 04:43
  • 6: How To Land a Python Job Without a Degree 08:20
  • 7: Python Job Roles 08:41
  • 8: Python Course Structure 04:19

• Getting Familiar With Python 1:14:09

  • 9: Getting Familiar with Python Section Overview 05:56
  • 10: Installing Python on Windows 09:36
  • 11: Anaconda and Jupyter Notebooks Part 1 07:31
  • 12: Anaconda and Jupyter Notebooks Part 2 16:24
  • 13: Python Syntax 02:13
  • 14: Line Structure 02:44
  • 15: Line Structure Exercise 07:12
  • 16: Comments 05:01
  • 17: Joining Lines 05:00
  • 18: Multiple Statements on a Single Line 04:52
  • 19: Indentation 07:40

• Basic Data Types 1:29:33

  • 20: Basic Data Types Section Overview 08:26
  • 21: Python Variables 08:10
  • 22: Integers and Float 08:26
  • 23: Strings Overview 09:50
  • 24: String Manipulation 07:18
  • 25: String Indexing 04:28
  • 26: String Slicing 08:17
  • 27: Booleans 04:54
  • 28: Printing 09:48
  • 29: Mini Project 1 : Letter Counter 19:56

• Python Operators 52:39

  • 30: Python Operators Section Overview 04:12
  • 31: Arithmetic Operators 08:17
  • 32: Assignment Operators 03:40
  • 33: Comparison Operators 09:20
  • 34: Logical Operators 12:37
  • 35: Identity Operators 04:41
  • 36: Membership Operators 02:02
  • 37: Bitwise Operators 07:50

• Advanced Data Types 45:58

  • 38: Python Advanced Data Types Section Overview 10:37
  • 39: List Overview 04:39
  • 40: List Indexing and Slicing 04:26
  • 41: Tuples 02:20
  • 42: Sets 06:01
  • 43: Dictionaries 10:40
  • 44: When to use each one? 04:31
  • 45: Compound Data Types 02:44

• Control Flow Part 1 56:19

  • 46: Control Flow Part 1 Section Overview 15:01
  • 47: Intro to Control Flow 00:57
  • 48: Basic Conditional Statements 13:39
  • 49: More Conditional Statements 05:04
  • 50: For Loops 09:51
  • 51: While Loops 11:47

• Control Flow Part 2 31:07

  • 52: Control Flow Part 2 Section Overview 02:29
  • 53: Break Statements 08:00
  • 54: Continue Statements 04:52
  • 55: Zip Function 07:20
  • 56: Enumerate Function 03:58
  • 57: List Comprehension 04:28

• Python Functions 29:45

  • 58: Python Functions Section Overview 02:50
  • 59: Intro to Functions 02:17
  • 60: Python Help Function 03:12
  • 61: Defining Functions 09:29
  • 62: Variable Scope 08:13
  • 63: DocStrings 03:44

• User Input and Error Handling 41:09

  • 64: User Input and Error Handling Section Overview 01:49
  • 65: Introduction to error handling 02:48
  • 66: User Input 04:22
  • 67: Syntax Errors 04:00
  • 68: Exceptions 11:23
  • 69: Handling Exceptions Part 1 08:29
  • 70: Handling Exceptions Part 2 08:18

• Python Advanced Functions 1:03:15

  • 71: Python Advanced Functions Section Overview 05:11
  • 72: Lambda Functions 05:29
  • 73: Functions args and kwargs 10:02
  • 74: Iterators 08:13
  • 75: Generators and Yield 11:53
  • 76: Map Function 14:24
  • 77: Filter Function 08:03

• Python Scripting and Libraries 1:07:41

  • 78: Python Scripting and Libraries Section Overview 04:30
  • 79: What is a script? 01:24
  • 80: What is an IDE? 17:20
  • 81: What is a text editor? 11:46
  • 82: From Jupyter Notebook to VScode Part 1 14:45
  • 83: From Jupyter Notebook to VScode Part 2 05:03
  • 84: Importing Scripts 03:05
  • 85: Standard Libraries 04:13
  • 86: Third Party Libraries 05:35

• NumPy 58:12

  • 87: NumPy Section Overview 04:08
  • 88: Intro to NumPy 04:28
  • 89: Why use NumPy? 04:10
  • 90: NumPy Arrays 10:24
  • 91: Reshaping, Accessing, and Modifying 07:20
  • 92: Slicing and Copying 05:53
  • 93: Inserting, Appending, and Deleting 09:45
  • 94: Array Logical Indexing 03:44
  • 95: Broadcasting 08:20

• Pandas 1:30:23

  • 96: Intro to Pandas 16:44
  • 97: Pandas Series 16:59
  • 98: Pandas Series Manipulation 16:32
  • 99: Pandas DataFrame 17:04
  • 100: Pandas DataFrame Manipulation 12:55
  • 101: Dealing with Missing Values 10:09

• Intro to OOP 41:02

  • 102: Functional vs OOP 06:16
  • 103: OOP Key Definitions 04:04
  • 104: Create your First Class 12:09
  • 105: How to Create and Use Objects 06:04
  • 106: How to Modify Attributes 12:29

• Advanced OOP 1:14:09

  • 107: Python Decorators 27:09
  • 108: Property Decorator 08:44
  • 109: Class Method Decorator 07:11
  • 110: Static Methods 10:29
  • 111: Inheritance from A to Z 20:36

• Starting a Career in Python 1:04:27

  • 112: Python Career Section Overview 05:56
  • 113: Getting Started with Freelancing 09:26
  • 114: Building A Brand 11:57
  • 115: Personal Branding 13:09
  • 116: Importance of Having Website/Blog 04:22
  • 117: Do's and Don'ts of Networking 05:31
  • 118: Top Freelance Websites 08:05
  • 119: Creating A Python Developer Resume 06:01

• Course Resources 01:00

  • 120: Python Course Resources 01:00

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.

• Students who want to learn Python Programming from A-Z

• Access to a computer with an internet connection.