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Complete Python Mastery
1- Getting Started (32m)
1- What is Python (3:21)
2- Installing Python (1:52)
3- Python Interpreter (1:55)
4- Code Editors (1:19)
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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)
13- Follow Me Around
14- Learning Paths
2- Primitive Types (34m)
1- Variables (3:04)
2- Variable Names (3:02)
3- Strings (5:30)
4- Escape Sequences (2:40)
5- Formatted Strings (2:08)
6- String Methods (5:54)
7- Numbers (2:46)
8- Working with Numbers (2:09)
9- Type Conversion (5:04)
10- Quiz (2:43)
3- Control Flow (37m)
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 (3:38)
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)
4- Functions (41m)
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 (4:41)
A Quick Note
5- Data Structures (1h20m)
1- Lists (3:54)
2- Accessing Items (3:13)
3- List Unpacking (3:51)
4- Looping over Lists (2:54)
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 (2:05)
11- List Comprehensions (3:10)
12- Zip Function (1:49)
13- Stacks (4:24)
14- Queues (2:50)
15- Tuples (4:02)
16- Swapping Variables (2:37)
17- Arrays (3:11)
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)
6- Exceptions (20m)
1- Exceptions (2:16)
2- Handling Exceptions (4:10)
3- Handling Different Exceptions (3:05)
4- Cleaning Up (1:57)
5- The With Statement (3:07)
6- Raising Exceptions (3:21)
7- Cost of Raising Exceptions (4:41)
7- Classes (1h25m)
1- Classes (2:35)
2- Creating Classes (3:45)
3- Constructors (4:37)
4- Class vs Instance Attributes (3:58)
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 (3:40)
11- Properties (7:30)
12- Inheritance (4:23)
13- The Object Class (2:23)
14- Method Overriding (3:14)
15- Multi-level Inheritance (2:42)
16- Multiple Inheritance (3:22)
17- A Good Example of Inheritance (4:31)
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)
8- Modules (20m)
1- Creating Modules (4:16)
2- Compiled Python Files (2:19)
3- Module Search Path (1:35)
4- Packages (2:27)
5- Sub-packages (1:01)
6- Intra-package References (1:36)
7- The dir Function (1:39)
8- Executing Modules as Scripts (2:55)
9- Python Standard Library (1h)
1- Python Standard Library (0:51)
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 (1:12)
14- Sending Emails (6:48)
15- Templates (4:53)
16- Command-line Arguments (1:54)
17- Running External Programs (8:06)
10- Python Package Index (48m)
1- Pypi (1:49)
2- Pip (6:23)
3- Virtual Environments (4:04)
4- Pipenv (3:40)
5- Virtual Environments in VSCode (3:49)
6- Pipfile (4:48)
7- Managing Dependencies (3:28)
8- Publishing Packages (8:22)
9- Docstrings (5:48)
10- Pydoc (4:06)
11- Popular Python Packages (1h30m)
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 (9:06)
12- Building Web Applications with Django (30m)
1- Introduction (1:43)
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 (4:29)
9- Customizing the Admin (6:55)
10- Database Abstraction API (3:52)
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 (7:59)
Machine Learning with Python (30m)
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 (6:21)
5- Jupyter Shortcuts (5:26)
6- A Real Machine Learning Problem (3:17)
7- Preparing the Data (3:05)
8- Learning and Predicting (4:04)
9- Calculating the Accuracy (6:21)
10- Persisting Models (3:14)
11- Visualizing a Decision Tree (6:26)
12- What to Learn Next
13- Thank You
19- Dictionaries
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