1. Introduction
  2. Python version and differences
  3. Download and installing python in different platforms
  4. Writing and executing first program in python
  5. Running python
  6. Python syntax
  7. Python variables
  8. Python datatypes
  9. Python numbers
  10. Strings
  11. Casting
  12. Operators
  13. Lists
  14. Tuples
  15. Dictionaries
  16. If else
  17. Loops
  18. Range() function
  19. Functions
  20. Documentation string
  21. Function annotations
  22. Lambda
  23. Arrays
  24. Modules
  25. Input and output
  26. Errors and exceptions
  27. Python pip
  28. Object oriented with python
    1. Classes
    2. Inheritance
    3. Object
    4. Self parameter
    5. Pass
    6. Generators
    7. Scoping
    8. Polymorphism
    9. Namespaces
  29. Standard library in python
    1. Operating system interface
    2. File wildcards
    3. Command line arguments
    4. Error output redirection and program termination
    5. String pattern matching
    6. Internet access
    7. Mathematics
    8. Dates and times
    9. Data compression
    10. Performance management
    11. Quality control
    12. Multithreading
    13. Logging
    14. Weak references
  30. Virtual environment and packages
  31. Web scrapping
  32. Python with database
    1. Introduction about database
    2. Installing database software
    3. Performing crud operations
    4. Connecting to database using python
    5. Performing query operations like insert, select, delete , update operations
    6. Example using all kinds of database operations
  33. Desktop development using python
    1. Introduction about desktop environments
    2. Tkinter introduction
    3. About tkinter components
    4. Tkinter design
    5. Developing desktop application
    6. Connecting with database from a python desktop application
    7. Introduction about other libraries in python for developing desktop applications
  34. Pandas module
    1. Introduction about different kinds of text formats like json, text, csv, etc
    2. Introduction about pandas
    3. Setup and using pandas module
    4. About pandas series
    5. Data frames
    6. Data operations
    7. Reading and writing to different files
    8. Examples data conversions
  35. Numpy module
  36. Scipy module
  37. Introduction to matplotlib
  38. Introduction opencv

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