Learn Python Programming From A-Z: Beginner To Expert Course
Created by Juan Galvan, Last Updated 20-Nov-2020, Language:English
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 Juan Galvan, Last Updated 20-Nov-2020, Language:English
What Will I Get ?
- 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
Requirements
- Access to a computer with an internet connection.
Description
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.
Course Content
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Python Course Intro
7 Lectures 00:46:53-
Intro To Python Programming
Preview00:05:20 -
What is Python Programming
Preview00:09:30 -
Who is This Course For
Preview00:04:33 -
Python Marketplace
Preview00:05:46 -
Python Job Opportunities
Preview00:04:43 -
Python Job Roles
00:08:41 -
Getting a Python Job Without a Degree
00:08:20
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Getting Familiar With Python
11 Lectures 01:00:32-
Getting Familiar With Python
Preview00:05:56 -
Python Job Roles
Preview00:08:41 -
Installing Python in Windows
00:04:24 -
Anaconda and Jupyter Notebooks
00:06:58 -
Anaconda and Jupyter Notebooks 2
00:06:58 -
Python Syntax
00:02:13 -
Line Structure
00:02:43 -
2 Line Structure
00:07:11 -
Comments
00:02:57 -
Multiple Statements on a Single Line
00:04:52 -
Indentation
00:07:39
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Python Data Types
9 Lectures 01:15:26-
Python Basic Data Types (section overview)
00:08:25 -
Python Variables
00:08:09 -
Integers and Float
00:08:26 -
Strings Manipulation
00:08:33 -
Strings Overview
00:10:29 -
String Indexing
00:06:31 -
String Slicing
00:09:27 -
Printing
00:10:33 -
Booleans
00:04:53
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Python Operators
8 Lectures 00:58:19-
Python Operators (section overview)
00:04:11 -
Booleans
00:04:53 -
Printing
00:10:33 -
Arithmetic Operators
00:08:17 -
Assignment Operators
00:03:40 -
Comparison Operators
00:09:28 -
Logical Operators
00:12:36 -
Identity Operators
00:04:41
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Python Advanced Data Types
7 Lectures 00:37:53-
Python Advanced Data Types (section overview)
00:10:37 -
Identity Operators
00:04:41 -
1 List Overview
00:04:38 -
.2 List Indexing and Slicing
00:04:25 -
Tuples
00:02:20 -
.4 Sets
00:06:41 -
When to use each one
00:04:31
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Python Control Flow 1
6 Lectures 00:56:14-
Control Flow Part 1 (section overview)
00:15:00 -
.1 Intro to Control Flow
00:00:56 -
2 Basic Conditional Statements
00:13:38 -
More Conditional Statements
00:05:04 -
For Loops
00:09:50 -
While Loops
00:11:46
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Python Control Flow 2
6 Lectures 00:31:03-
Control Flow Part 2 (section overview)
00:02:28 -
Break Statements
00:07:59 -
Continue Statements
00:04:51 -
Zip Function
00:07:20 -
Enumerate Function
00:03:58 -
List
00:04:27
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Intro To Functions
6 Lectures 00:29:42-
. Python Functions (section overview)
00:02:49 -
Intro to Functions
00:02:16 -
Python Help Function
00:03:11 -
Defining Functions
00:09:29 -
Variable Scope
00:08:13 -
DocStrings
00:03:44
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User Input and Error Handling
7 Lectures 00:41:05-
Error Handling and User Input (section overview)
00:01:48 -
Intro to Error Handling
00:02:48 -
User Input
00:04:21 -
Syntax Errors
00:04:00 -
Handling Exceptions 1
00:08:29 -
Handling Exceptions 2
00:08:17 -
Exceptions
00:11:22
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Advanced Functions
6 Lectures 00:55:00-
Python Advanced Functions (section overview)
00:05:10 -
Lambda Functions
00:05:29 -
Functions args and kwargs
00:10:01 -
Generators and Yield
00:11:53 -
Filter
00:08:03 -
Map Functions
00:14:24
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Scripting And Libraries
9 Lectures 00:58:57-
Scripting and Libraries (section overview)
00:04:29 -
What is a script.
00:01:24 -
What is an IDE
00:17:20 -
from jupyter notebook to vscode 1
00:14:45 -
from jupyter notebook to vscode 2
00:05:03 -
Importing Scripts (1)
00:03:04 -
Importing Scripts
00:03:04 -
Standard Libraries
00:04:13 -
Third Party Libraries
00:05:35
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NumPy
8 Lectures 00:52:15-
. Numpy section overview
00:04:07 -
What is NumPy
00:04:28 -
Why NumPy
00:04:10 -
NumPy Arrays
00:10:23 -
Reshaping, Modifying and Accessing NumPy arrays
00:07:19 -
Logical Indexing
00:03:43 -
Inserting , Deleting, Appending
00:09:45 -
Broadcasting
00:08:20
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Starting A Career in Python
8 Lectures 01:04:22-
Starting a Career in Python Overview
00:05:55 -
Getting Started with Freelancing
00:09:26 -
Building a Brand
00:11:56 -
Personal Branding
00:13:08 -
Importance of Website Blog
00:04:22 -
Top Freelance Sites
00:08:04 -
. Creating a Python Developer Resume
00:06:00 -
Networking Do's Don'ts
00:05:31
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