What you'll learn
- How to Get Hired as a Professional Python Developer
- The fundamentals and advanced themes of Master modern Python 3.10 (latest).
- Object Oriented Programming (OOP)
- The Programming of Functions
- How to Create 12+ Real-World Python Projects to Show Off
- Python in Web Development: How to Use It
- Python Machine Learning
- Making a Machine Learning Model
- Data Science and its analysis and visualization of data.
- How to create a Professional Portfolio Website
Who is this course for
- Those who wish to learn Python 3
- Those interested in learning to code
- Those who want to improve their skills and learn a new programming language
- Those interested in Web Development, Machine Learning, Data Science, or other
After completing this course, you will understand the concepts, classifications, and practical strategies of using Python.
With this, you can get free access to
- Course Materials for Life
- Expertise in designing Motion Design with Figma Animations, Motion Graphics, UXUI
About Us
Over 100,000 students have received instruction from this online academy in topics including Lift Style, Fitness Training, Cyber Security, Ethical Hacking, Facebook Ads, SEO, Email Marketing, eCommerce, Business Investing, Social Media Marketing, Launching Your Own Business, and Marketing/Ad Agency!
We provide a wide variety of top-notch online courses that educate through real-world examples from subject matter experts and tried-and-true research, all supported by top-notch, studio vocally narrated videos! Teaching practical life skills, which are crucial in today's environment, is the focus.
Every course offered by this online learning academy is instructed by subject-matter specialists who genuinely love what they do and want to share it with others.
Course Curriculum
- 1- What is Python (3:20)
- 2- Installing Python (1:51)
- 3- Python Interpreter (1:55)
- 4- Code Editors (1:19)
- 5- Your First Python Program (3:36)
- 6- Python Extension (2:52)
- 7- Linting Python Code (4:14)
- 8- Formatting Python Code (3:54)
- 9- Running Python Code (2:59)
- 10- Python Implementations (2:28)
- 11- How Python Code is Executed (2:46)
- 12- Quiz (1:37)
- 1- Comparison Operators (2:04)
- 2- Conditional Statements (4:09)
- 3- Ternary Operator (2:09)
- 4- Logical Operators (4:02)
- 5- Short-circuit Evaluation (2:06)
- 6- Chaining Comparison Operators (1:22)
- 7- Quiz (1:43)
- 8- For Loops (3:37)
- 9- For..Else (2:46)
- 10- Nested Loops (2:44)
- 11- Iterables (3:08)
- 12- While Loops (4:59)
- 13- Infinite Loops (1:37)
- 14- Exercise (2:05)
- 1- Defining Functions (2:24)
- 2- Arguments (2:20)
- 3- Types of Functions (4:02)
- 4- Keyword Arguments (2:00)
- 5- Default Arguments (1:35)
- 6- xargs (4:15)
- 7- xxargs (2:20)
- 8- Scope (5:09)
- 9- Debugging (6:50)
- 10- VSCode Coding Tricks - Windows (2:21)
- 11- VSCode Coding Tricks - Mac (1:49)
- 12- Exercise (1:29)
- 13- Solution (4:40)
- 1- Lists (3:53)
- 2- Accessing Items (3:13)
- 3- List Unpacking (3:50)
- 4- Looping over Lists (2:53)
- 5- Adding or Removing Items (2:56)
- 6- Finding Items (1:28)
- 7- Sorting Lists (4:35)
- 8- Lambda Functions (1:49)
- 9- Map Function (3:25)
- 10- Filter Function (2:04)
- 11- List Comprehensions (3:09)
- 12- Zip Function (1:49)
- 13- Stacks (4:23)
- 14- Queues (2:50)
- 15- Tuples (4:02)
- 16- Swapping Variables (2:37)
- 17- Arrays (3:10)
- 18- Sets (4:03)
- 19- Dictionaries (5:24)
- 20- Dictionary Comprehensions (3:19)
- 21- Generator Expressions (3:51)
- 22- Unpacking Operator (4:05)
- 23- Exercise (6:21)
- 1- Classes (2:35)
- 2- Creating Classes (3:45)
- 3- Constructors (4:37)
- 4- Class vs Instance Attributes (3:57)
- 5- Class vs Instance Methods (4:05)
- 6- Magic Methods (3:13)
- 7- Comparing Objects (3:11)
- 8- Performing Arithmetic Operations (1:31)
- 9- Making Custom Containers (6:55)
- 10- Private Members (3:39)
- 11- Properties (7:30)
- 12- Inheritance (4:23)
- 13- The Object Class (2:22)
- 14- Method Overriding (3:14)
- 15- Multi-level Inheritance (2:42)
- 16- Multiple Inheritance (3:22)
- 17- A Good Example of Inheritance (4:30)
- 18- Abstract Base Classes (4:50)
- 19- Polymorphism (3:56)
- 20- Duck Typing (2:50)
- 21- Extending Built-in Types (2:26)
- 22- Data Classes (4:36)
- 1- Python Standard Library (0:50)
- 2- Working With Paths (4:48)
- 3- Working with Directories (4:14)
- 4- Working with Files (3:59)
- 5- Working with Zip Files (3:15)
- 6- Working with CSV Files (4:50)
- 7- Working with JSON Files (3:57)
- 8- Working with a SQLite Database (9:10)
- 9- Working with Timestamps (2:24)
- 10- Working with DateTimes (5:05)
- 11- Working with Time Deltas (2:41)
- 12- Generating Random Values (4:09)
- 13- Opening the Browser (1:11)
- 14- Sending Emails (6:48)
- 15- Templates (4:52)
- 16- Command-line Arguments (1:54)
- 17- Running External Programs (8:06)
- 1- Introduction (1:41)
- 2- What are APIs (2:36)
- 3- Yelp API (2:51)
- 4- Searching for Businesses (9:54)
- 5- Hiding API Keys (2:05)
- 6- Sending Text Messages (6:02)
- 7- Web Scraping (9:06)
- 8- Browser Automation (11:28)
- 9- Working with PDFs (6:18)
- 10- Working with Excel Spreadsheets (9:52)
- 11- Command Query Separation Principle (4:39)
- 12- NumPy (9:05)
- 1- Introduction (1:42)
- 2- Your First Django Project (4:11)
- 3- Your First App (3:41)
- 4- Views (7:59)
- 5- Models (4:57)
- 6- Migrations (8:00)
- 7- Changing the Models (5:38)
- 8- Admin (4:28)
- 9- Customizing the Admin (6:55)
- 10- Database Abstraction API (3:51)
- 11- Templates (10:23)
- 12- Adding Bootstrap (4:19)
- 13- Customizing the Layout (2:23)
- 14- Sharing a Template Across Multiple Apps (3:48)
- 15- Url Parameters (4:37)
- 16- Getting a Single Object (3:48)
- 17- Raising 404 Errors (3:51)
- 18- Referencing Urls (3:47)
- 19- Creating APIs (9:26)
- 20- Adding the Homepage (4:27)
- 21- Getting Ready to Deploy (9:44)
- 22- Deployment (7:58)
- 1- What is Machine Learning (1:58)
- 2- Machine Learning in Action (2:47)
- 3- Libraries and Tools (4:54)
- 4- Importing a Data Set (6:20)
- 5- Jupyter Shortcuts (5:25)
- 6- A Real Machine Learning Problem (3:17)
- 7- Preparing the Data (3:05)
- 8- Learning and Predicting (4:04)
- 9- Calculating the Accuracy (6:20)
- 10- Persisting Models (3:14)
- 11- Visualizing a Decision Tree (6:26)
Frequently Asked Questions
When does the course start and finish?
The course has begun and will never stop! You set the start and end dates for this entirely self-paced online course.
How long do I have access to the course?
Lifetime access—how does that sound? You receive unrestricted access to this course after registering for as long as you like, on any device you own.
Do I get a certificate?
Yes, when you complete the course, you will receive a certificate of completion which you can happily add to your resume or LinkedIn profile.
Can I cancel my subscription?
Yes you can. You have a 15-days money-back guarantee.
