- 1. Intro To Python Section Overview 5m 20s
- 2. What is Python Programming? 9m 30s
- 3. Who is This Course For? 4m 33s
- 4. Python Programming Marketplace 5m 47s
- 5. Python Job Opportunities 4m 43s
- 6. How To Land a Python Job Without a Degree 8m 20s
- 7. Python Programmer Job Roles 8m 41s
- 8. Python from A-Z Course Structure 4m 18s
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
- 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.
Curriculum
119 Lessons • 15H 30M- 1. Getting Familiar with Python Section Overview 5m 56s
- 2. Installing Python on Windows 9m 36s
- 3. Anaconda and Jupyter Notebooks Part 1 7m 30s
- 4. Anaconda and Jupyter Notebooks Part 2 16m 24s
- 5. Python Syntax 2m 13s
- 6. Line Structure 2m 43s
- 7. Line Structure Exercise 7m 11s
- 8. Comments 5m 1s
- 9. Joining Lines 5m
- 10. Multiple Statements on a Single Line 4m 52s
- 11. Indentation 7m 39s
- 1. Basic Data Types Section Overview 8m 25s
- 2. Python Variables 8m 9s
- 3. Integers and Floats 8m 26s
- 4. String Overview 9m 50s
- 5. String Manipulation 7m 17s
- 6. String Indexing 4m 28s
- 7. String Slicing 8m 16s
- 8. Boolean 4m 53s
- 9. Printing 9m 48s
- 10. Mini Project 1 : Letter Counter 19m 55s
- 1. Python Operators Section Overview 4m 11s
- 2. Arithmetic Operators 8m 17s
- 3. Assignment Operators 3m 40s
- 4. Comparison Operators 9m 20s
- 5. Logical Operators 12m 36s
- 6. Identity Operators 4m 41s
- 7. Membership Operators 2m 1s
- 8. Bitwise Operators 7m 49s
- 1. Python Advanced Data Types Section Overview 10m 37s
- 2. List Overview 4m 38s
- 3. List Slicing and Indexing 4m 25s
- 4. Tuples 2m 20s
- 5. Sets 6m 1s
- 6. Dictionaries 10m 40s
- 7. When to use each one? 4m 31s
- 8. Compound Data Types 2m 43s
- 1. Control Flow Part 1 Section Overview 15m
- 2. Intro to Control Flow 56s
- 3. Basic Conditional Statements 13m 38s
- 4. More Conditional Statements 5m 4s
- 5. For Loops 9m 50s
- 6. While Loops 11m 46s
- 1. Control Flow Part 2 Section Overview 2m 28s
- 2. Break Statements 7m 59s
- 3. Continue Statements 4m 51s
- 4. Zip Function 7m 20s
- 5. Enumerate Function 3m 58s
- 6. List Comprehension 4m 27s
- 1. Python Functions Section Overview 2m 49s
- 2. Intro to Functions 2m 16s
- 3. Python help Function 3m 11s
- 4. Defining Functions 9m 29s
- 5. Variable Scope 8m 13s
- 6. Doc Strings 3m 44s
- 1. User Input and Error Handling Section Overview 1m 48s
- 2. Introduction to error handling 2m 48s
- 3. User Input 4m 22s
- 4. Syntax Errors 4m
- 5. Exceptions 11m 22s
- 6. Handling Exceptions Part 1 8m 29s
- 7. Handling Exceptions Part 2 8m 18s
- 1. Python Advanced Functions Section Overview 5m 10s
- 2. Lambda Functions 5m 29s
- 3. Functions args and kwargs 10m 1s
- 4. Iterators 8m 12s
- 5. Generators and Yield 11m 53s
- 6. Map Function 14m 24s
- 7. Filter Function 8m 3s
- 1. Python Scripting and Libraries Section Overview 4m 29s
- 2. What is a script? 1m 24s
- 3. What is an IDE? 17m 20s
- 4. What is a text editor? 11m 46s
- 5. From Jupyter Notebook to VScode Part 1 14m 45s
- 6. From Jupyter Notebook to VScode Part 2 5m 3s
- 7. Importing Scripts 3m 4s
- 8. Standard Libraries 4m 13s
- 9. Third Party Libraries 5m 35s
- 1. NumPy Section Overview 4m 7s
- 2. Intro to NumPy 4m 28s
- 3. Why use NumPy? 4m 10s
- 4. NumPy Arrays 10m 23s
- 5. Reshaping, Accessing, and Modifying 7m 19s
- 6. Slicing and Copying 5m 52s
- 7. Inserting, Appending, and Deleting 9m 45s
- 8. Array Logical Indexing 3m 43s
- 9. Broadcasting 8m 20s
- 1. Intro to Pandas 16m 43s
- 2. Pandas Series 16m 58s
- 3. Pandas Series Manipulation 16m 32s
- 4. Pandas DataFrame 17m 4s
- 5. Pandas DataFrame Manipulation 12m 54s
- 6. Dealing with Missing Values 10m 9s
- 1. Functional vs OOP 6m 16s
- 2. OOP Key Definitions 4m 4s
- 3. Create your First Class 12m 9s
- 4. How to Create and Use Objects 6m 4s
- 5. How to Modify Attributes 12m 28s
- 1. Python Decorators 27m 9s
- 2. Property Decorator 8m 43s
- 3. Class Method Decorator 7m 11s
- 4. Static Methods 10m 28s
- 5. Inheritance from A to Z 20m 36s
- 1. Python Career Section Overview 5m 55s
- 2. Getting Started with Freelancing 9m 26s
- 3. Building A Brand 11m 56s
- 4. Personal Branding 13m 8s
- 5. Importance of Having Website/Blog 4m 22s
- 6. Do's and Don'ts of Networking 5m 31s
- 7. Top Freelance Websites 8m 4s
- 8. Creating A Python Developer Resume 6m
- 0.00 instructor rating
- 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.
Student reviews
No student reviews have been posted yet.