PYTHON

Description

Basic understanding of python

Python 3.x

• List to tuple

1. Indexing
2. Python and Other programming languages
3. Python Environment
   1. Windows
   2. Linux
   3. Mac os
4. Python first program
5. Python Internals
6. Compilers v/s interpreters
7. Different interpreters and IDE’s
   1. Interpreters
      1. Python
      2. I python

• I python Notebook ( Jupyter )

1. Bpython
2. Bpython Notebook
3. Slicing
4. Packing and unpacking

• Tuple methods

1. Dictionary
   1. Dictionary creation
   2. Dict with list values

• Dict with tuple values

1. Dict with dict values
2. Dict with comprehensions
3. Dictionary methods
4. Set
   1. Sets creation
   2. Union , union all

• Intersection

1. Minus
2. Set methods
3. IDE’s
   1. Spyder
   2. Pycharm

• Vscode

1. Notepad++
2. Sublime text

8. Data types and variables
   1. Object reference
9. Python Keywords Operators
   1. Relational
   2. Comparison
   3. Statements of python 12.Working with Numerics
10. Python Escape sequence characters
    1. 16 bit Unicode
    2. 32 bit Unicode
    3. String literals
11. Working with strings
    1. Indexing
    2. slicing 15.Type Casting
12. % with positional
13. {} with index Type Conversion
14. Conditional Statements
    1. If …
    2. If … .
    3. If …. Else… if .. else …
    4. If … elif…else
    5. Nested Functions
15. Loops
    1. For ( Finite loop )
    2. While ( Infinite loop ) Python Sequences
16. List
    1. List creation
    2. Indexing

• Slicing

1. list methods

2.Tuple

1. 1. Tuple creation
   2. Tuple to list

20. Copy
    1. Soft copy
    2. Shallow copy
    3. Deep copy
    4. Copy of elements
    5. Copy of objects
    6. Copy of sub-objects

21. Working with Functions
    1. Over view of Function
    2. Function creation
    3. Return v/s print
    4. parameters
    5. Arguments
    6. Default arguments
    7. Positional arguments
    8. Keyword arguments
    9. Variables
    10. Local variables
    11. Locals()
    12. Global variables
    13. Globals()
    14. Calling local variables globally
    15. Function object
    16. * , ** , *args , **kwargs
    17. Nested Functions

22. Working with Python Built-in Functions
    1. Len, max, range, min, sum

23. Working with Recursions
24. Working with Exceptions
    1. Try
    2. Except
    3. Else
    4. Finally
    5. Built-in exceptions
    6. User defined exception
       1. Class creation
       2. Class inheritance from Base class

25. Working with Regular Expressions
    1. Match

1. Search
2. Compile
3. Split
4. Group
5. Full match
6. Sub
7. Find all
8. Finditer
9. escape
10. Special characters
11. Working with Modules
    1. Creating modules
    2. Importing module
    3. Access module functions

27. Working with Files
    1. Creating files
    2. Data migration
    3. Database to files
    4. Csv to database

28. Working with Databases
    1. Oracle
    2. Postgre
    3. MySQL
    4. SQLite

29. GUI Programming
    1. Window
    2. Frame
    3. Widgets

30. User Defined Packages
    1.    init    .py
    2. Sub-packages
    3. Modules

31. Class
    1. Class attributes
    2. Methods
    3. Special methods
    4. Method object for a class

32. Oops
    1. Inheritance
       1. Single
       2. Multiline

• Multiple

1. Hierarchical
2. Hybrid

 

1. Polymorphism
   1. Method Overloading
      1. pythonlangutil
      2. @overload
      3. @signature
   2. Method Overriding
      1. Super()

• Operator overloading

1. Encapsulation
   1. Public attributes
   2. Private attributes

• Public methods

1. Special methods
2. Private methods

 

1. Data Abstraction
   1. Abstract class
   2. Abstract methods @class method

34.@Static method 35.Python stack

36.Python list comprehension 37.Python Garbage collection

38. Multithreading
    1. Thread creation
    2. Thread start
    3. Thread join

39. Multi-Processing
    1. Process creation
    2. Process start
    3. Process join
    4. Sub-Process

40. Different Python Functions
    1. Enumerate
    2. Lambda
    3. Queue
    4. Deque
    5. Map
    6. Filter
    7. Reduce
    8. Iterator
    9. Yield
    10. Generator
    11. Closures
    12. Decorators

41. Different Python Modules ( Overview )
    1. os
    2. math
    3. cmd
    4. csv
    5. random
    6. Pandas
    7. Sys
    8. Matplotlib
    9. Datetime
    10. Time