- 6m
- 10m
- 3. Who is This Course For? 5m
- 4. Python Programming Marketplace 6m
- 5. Python Job Opportunities 5m
- 9m
- 7. Python Programmer Job Roles 9m
- 8. Python from A-Z Course Structure 5m
Python Programming From A-Z: Beginner To Expert Course
About this course
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.
What you'll learn
- 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.
Curriculum
119 Lessons • 15h 31m estimated learning time- 1. Getting Familiar with Python Section Overview 6m
- 2. Installing Python on Windows 10m
- 3. Anaconda and Jupyter Notebooks Part 1 8m
- 4. Anaconda and Jupyter Notebooks Part 2 17m
- 5. Python Syntax 3m
- 6. Line Structure 3m
- 7. Line Structure Exercise 8m
- 8. Comments 6m
- 9. Joining Lines 5m
- 10. Multiple Statements on a Single Line 5m
- 11. Indentation 8m
- 1. Basic Data Types Section Overview 9m
- 2. Python Variables 9m
- 3. Integers and Floats 9m
- 4. String Overview 10m
- 5. String Manipulation 8m
- 6. String Indexing 5m
- 7. String Slicing 9m
- 8. Boolean 5m
- 9. Printing 10m
- 10. Mini Project 1 : Letter Counter 20m
- 1. Python Operators Section Overview 5m
- 2. Arithmetic Operators 9m
- 3. Assignment Operators 4m
- 4. Comparison Operators 10m
- 5. Logical Operators 13m
- 6. Identity Operators 5m
- 7. Membership Operators 3m
- 8. Bitwise Operators 8m
- 1. Python Advanced Data Types Section Overview 11m
- 2. List Overview 5m
- 3. List Slicing and Indexing 5m
- 4. Tuples 3m
- 5. Sets 7m
- 6. Dictionaries 11m
- 7. When to use each one? 5m
- 8. Compound Data Types 3m
- 1. Control Flow Part 1 Section Overview 15m
- 2. Intro to Control Flow 1m
- 3. Basic Conditional Statements 14m
- 4. More Conditional Statements 6m
- 5. For Loops 10m
- 6. While Loops 12m
- 1. Control Flow Part 2 Section Overview 3m
- 2. Break Statements 8m
- 3. Continue Statements 5m
- 4. Zip Function 8m
- 5. Enumerate Function 4m
- 6. List Comprehension 5m
- 1. Python Functions Section Overview 3m
- 2. Intro to Functions 3m
- 3. Python help Function 4m
- 4. Defining Functions 10m
- 5. Variable Scope 9m
- 6. Doc Strings 4m
- 1. User Input and Error Handling Section Overview 2m
- 2. Introduction to error handling 3m
- 3. User Input 5m
- 4. Syntax Errors 4m
- 5. Exceptions 12m
- 6. Handling Exceptions Part 1 9m
- 7. Handling Exceptions Part 2 9m
- 1. Python Advanced Functions Section Overview 6m
- 2. Lambda Functions 6m
- 3. Functions args and kwargs 11m
- 4. Iterators 9m
- 5. Generators and Yield 12m
- 6. Map Function 15m
- 7. Filter Function 9m
- 1. Python Scripting and Libraries Section Overview 5m
- 2. What is a script? 2m
- 3. What is an IDE? 18m
- 4. What is a text editor? 12m
- 5. From Jupyter Notebook to VScode Part 1 15m
- 6. From Jupyter Notebook to VScode Part 2 6m
- 7. Importing Scripts 4m
- 8. Standard Libraries 5m
- 9. Third Party Libraries 6m
- 1. NumPy Section Overview 5m
- 2. Intro to NumPy 5m
- 3. Why use NumPy? 5m
- 4. NumPy Arrays 11m
- 5. Reshaping, Accessing, and Modifying 8m
- 6. Slicing and Copying 6m
- 7. Inserting, Appending, and Deleting 10m
- 8. Array Logical Indexing 4m
- 9. Broadcasting 9m
- 1. Intro to Pandas 17m
- 2. Pandas Series 17m
- 3. Pandas Series Manipulation 17m
- 4. Pandas DataFrame 18m
- 5. Pandas DataFrame Manipulation 13m
- 6. Dealing with Missing Values 11m
- 1. Functional vs OOP 7m
- 2. OOP Key Definitions 5m
- 3. Create your First Class 13m
- 4. How to Create and Use Objects 7m
- 5. How to Modify Attributes 13m
- 1. Python Decorators 28m
- 2. Property Decorator 9m
- 3. Class Method Decorator 8m
- 4. Static Methods 11m
- 5. Inheritance from A to Z 21m
- 1. Python Career Section Overview 6m
- 2. Getting Started with Freelancing 10m
- 3. Building A Brand 12m
- 4. Personal Branding 14m
- 5. Importance of Having Website/Blog 5m
- 6. Do's and Don'ts of Networking 6m
- 7. Top Freelance Websites 9m
- 8. Creating A Python Developer Resume 6m
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- 1 courses
- Systems students worldwide
Juan Galvan
Learn from DragonZap instructors with practical, build-first lessons focused on systems, low-level programming, compilers, kernels, and real-world engineering fundamentals.
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