Python intermediate tutorial

Contents:

• 1. Debugging
  • 1.1. Bus information
  • 1.2. Hardwired code
  • 1.3. Debugger
• 2. Program structure and execution model
  • 2.1. Project
  • 2.2. Formatted output
  • 2.3. Files
• 3. Text processing and files
  • 3.1. Files basic
  • 3.2. Strings basic
  • 3.3. Read file and perform calculation
  • 3.4. CSV module
• 4. Function and error handling
  • 4.1. Writing Function
  • 4.2. Convert previous code to project
  • 4.3. glob library
  • 4.4. Exception handling
  • 4.5. Silencing the error
• 5. Data structure and Data manipulation
  • 5.1. Tuple, list, set and dictionary
  • 5.2. Building data structure from file
  • 5.3. Data manipulation
  • 5.4. List Comprehension
  • 5.5. Sorting
  • 5.6. Lambda operators
• 6. Library functions and packages
  • 6.1. Module basic
  • 6.2. packages
  • 6.3. Add temporary path
  • 6.4. Modify port.py
  • 6.5. Making a package
• 7. Object oriented programming
  • 7.1. From simple data structure to classes
  • 7.2. Understanding attribute access
  • 7.3. getattr, setattr and delattr
  • 7.4. Creating general purpose code using getattr
  • 7.5. Class methods and constructors
• 8. Inheritance
  • 8.1. Building an extensible library
  • 8.2. Advance inheritance
  • 8.3. Mixin
  • 8.4. Abstract classes for defensive coding
  • 8.5. isinstance
  • 8.6. How inheritance works
• 9. Python magic methods
  • 9.1. Magic methods
  • 9.2. Make debugging easy with magic method
  • 9.3. Making custom container object
  • 9.4. Making a custom context manager
• 10. Encapsulation (owing the dot)
  • 10.1. Instance representation
  • 10.2. Attribute access and Naming convention
  • 10.3. Manage attributes with property
  • 10.4. How property works
  • 10.5. Manage attributes with Descriptor
  • 10.6. Object wrapper and proxies
  • 10.7. __getattribute__
  • 10.8. __getattr__
  • 10.9. Wrap the object
  • 10.10. Add list operations in class Portfolio
    • 10.10.1. Solution 1
    • 10.10.2. Solution 2
    • 10.10.3. Solution 3
• 11. Higher order function and closure
  • 11.1. Functions as object
  • 11.2. Closure (Function inside the function)
  • 11.3. Generating code with closure
• 12. Metaprogramming and Decorators
  • 12.1. Functions
  • 12.2. Wrapper functions
  • 12.3. Decorators
  • 12.4. Class Decorators
• 13. Metaclasses
  • 13.1. type
  • 13.2. Create classes with type
  • 13.3. Metaclasses
  • 13.4. Metaclasses intercept child classes too
  • 13.5. Use of metaclass
• 14. Iterators and generators
  • 14.1. How for loop works
  • 14.2. Customize for loop with generators
  • 14.3. Implementing unix grep command
  • 14.4. List comprehension vs generator
• 15. Coroutine
• 16. Data processing example
  • 16.1. Tuple
  • 16.2. List
  • 16.3. Set
  • 16.4. Dict
  • 16.5. Collections.Counter
  • 16.6. Collections.defaultdict
  • 16.7. Super power of python
    • 16.7.1. List comprehension
    • 16.7.2. Set comprehension
    • 16.7.3. Dict comprehension
  • 16.8. Iterpowers
  • 16.9. Data processing