Coding Video: Case: Mosh: Python

20th August 2020 at 2:19pm
Coding Video: Case: Mosh
  • Getting Started (32m)
    1. What is Python (3:21)
    2. Installing Python (1:52)
    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)
  • 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)
  • 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)
  • 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)
    14. Quick Note
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • Python Package Index (1h30m)
    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)
  • 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)
  • 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 (6:20)
    10. Persisting Models (3:14)
    11. Visualizing a Decision Tree (6:26)
    12. What to Learn Next
    13. Thank You