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Python Programming for Developers
1- Getting Started (30m)
1- What is Python (3:21)
2- Installing Python (2:20)
3- Code Editors (0:58)
4- Your First Python Program (2:25)
5- Python Extension (2:52)
6- Linting Python Code (4:14)
7- Formatting Python Code (3:54)
8- Running Python Code (2:59)
9- Python Implementations (2:28)
10- How Python Code is Executed (2:46)
11- Summary (0:21)
2- Python Basics (1h16m)
1- Variables (2:04)
2- Dynamic Typing (2:36)
3- Type Annotation (1:50)
4- Mutable and Immutable Types (2:58)
5- Strings (4:11)
6- Escape Sequences (3:19)
7- Formatted Strings (2:08)
8- Useful String Methods (3:20)
9- Numbers (2:09)
10- Arithmetic Operators (1:47)
11- Working with Numbers (2:37)
12- Type Conversion (4:22)
13- Conditional Statements (3:24)
14- Logical Operators (3:06)
15- Ternary Operator (1:17)
16- For Loops (4:08)
17- For..Else (2:38)
18- While Loops (1:46)
19- Functions (4:41)
20- Arguments- xargs (2:27)
21- Arguments- xxargs (2:04)
22- Scope (3:37)
23- Debugging (3:32)
24- VSCode Coding Tricks - Windows (2:21)
25- VSCode Coding Tricks - Mac (1:49)
26- Exercise (1:29)
27- Solution (4:41)
3- 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)
A Quick Note
4- 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)
5- Classes (1h20m)
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)
6- 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)
7- 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)
8- Python Package Index (40m)
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)
9- 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 (9:05)
10- Building Web Applications with Django (115m)
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)
11- 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 (6:20)
10- Persisting Models (3:14)
11- Visualizing a Decision Tree (6:26)
Thank you
16- Command-line Arguments
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