1. What is Language?
2. Types of languages
3. What is Scripting Language?
4. Types of Script
5. Programming Languages v/s Scripting Languages

1. What is Python?
2. WHY PYTHON?
3. What is PSF?
4. Python implementations
5. Python applications
6. Python versions
7. PYTHON IN REALTIME INDUSTRY
8. Difference between Python 2.x and 3.x
9. Difference between Python 3.7 and 3.8
10. Software Development Architectures
11.  

1. Download &Python Installation Process Online Python IDLE
2. Python Real-time IDEs like Spyder, Jupyter Note.

1. Python Implementation Alternatives/Flavors
2. ·Keywords
3. ·Identifiers
4. ·Constants / Literals
5. ·Data types
6. ·Python VS JAVA
7. ·Python Syntax

1. bytes Data Type
2. byte array
3. String Formatting in Python
4. Math, Random, Secrets Modules
5. Introduction
6. Initialization of variables
7. Local variables
8. Input and Output operations
9. Data conversion functions – int(), float(), complex(), str(), chr(), ord()

1. Arithmetic Operators
2. Comparison Operators
3. Python Assignment Operators
4. Logical Operators
5. Bitwise Operators
6. Shift operators
7. Membership Operators
8. Identity Operators
9. Ternary Operator
10. Operator precedence
11. Difference between "is" vs "=="
12.  

1. Conditional control statements
   1. If
   2. If-else
   3. If-elif-else
   4. Nested-if
2. Loop control statements
3. for
4. while
5. Nested loops
6. Branching statements
   1. Break
   2. Continue
   3. Pass
   4. Return

1. Introduction
2. Importance of Data structures
3. Applications of Data structures
4. Types of Collections
   1. Sequence
      1. Strings, List, Tuple, range
   2. Non sequence
      1. Set, Frozen set, Dictionary
   3. Strings
      1. What is string
      2. Representation of Strings
      3. Processing elements using indexing
      4. Processing elements using Iterators
      5. Manipulation of String using Indexing and Slicing
      6. String operators
      7. Methods of String object
      8. String Formatting
      9. String functions
      10. String Immutability

1. What is List
2. Need of List collection
3. Different ways of creating List
4. List comprehension
5. List indices
6. Processing elements of List through Indexing and Slicing
7. List object methods
8. List is Mutable
9. Mutable and Immutable elements of List
10. Nested Lists
11. List_of_lists
12. Hardcopy, shallowCopy and DeepCopy
13. zip() in Python
14. How to unzip?
15. Python Arrays
16. Case studies

1. What is tuple?
2. Different ways of creating Tuple
3. Method of Tuple object
4. Tuple is Immutable
5. Mutable and Immutable elements of Tuple
6. Process tuple through Indexing and Slicing
7. List v/s Tuple
8. Case studies
9.  

1. What is set?
2. Different ways of creating set
3. Difference between list and set
4. Iteration Over Sets
5. Accessing elements of set
6. Python Set Methods
7. Python Set Operations
8. Union of sets
9. functions and methods of set
10. Python Frozen set
11. Difference between set and frozenset ?
12. Case study

1. What is dictionary?
2. Difference between list, set and dictionary
3. How to create a dictionary?
4. PYTHON HASHING?
5. Accessing values of dictionary
6. Python Dictionary Methods
7. Copying dictionary
8. Updating Dictionary
9. Reading keys from Dictionary
10. Reading values from Dictionary
11. Reading items from Dictionary
12. Delete Keys from the dictionary
13. Sorting the Dictionary
14. Python Dictionary Functions and methods
15. Dictionary comprehension.

1. What is Function?
2. Advantages of functions
3. Syntax and Writing function
4. Calling or Invoking function
5. Classification of Functions
   1. No arguments and No return values
   2. With arguments and No return values
   3. With arguments and With return values

6. Python argument type functions :
   1. Default argument functions
   2. Required(Positional) arguments function
   3. Keyword arguments function
   4. Variable arguments functions
7. 'pass’ keyword in functions
8. Lambda functions/Anonymous functions
   1. map()
   2. filter()
   3. reduce()
9. Nested functions
10. Non local variables, global variables
11. Closures
12. Decorators
13. Generators
14. Iterators
15. Monkey patching

1. Importance of modular programming
2. What is module
3. Types of Modules – Pre defined, User defined.
4. User defined modules creation
5. Functions based modules
6. Class based modules
7. Connecting modules
8. Import module
9. From … import
10. Module alias / Renaming module
11. Built In properties of module

1. Organizing python project into packages
2. Types of packages – pre defined, user
3. Package v/s Folder
4. py file
5. Importing package
6. PIP
   1. Introduction to PIP
   2. Installing PIP
   3. Installing Python packages
   4. Un installing Python packages

1. Procedural v/s Object oriented programming
2. Principles of OOP – Encapsulation , Abstraction (Data Hiding)
3. Classes and Objects
4. How to define class in python
5. Types of variables – instance variables, class
6. Types of methods – instance methods, class method, static method
7.  
8. Object initialization
9. ‘self’ reference variable
10. ‘cls’ reference variable
11. Access modifiers – private( ) , protected(_), public
12. AT property class
13. Property() object
14. Creating object properties using setaltr, getaltr functions
15. Encapsulation(Data Binding)
16. What is polymorphism?
    1. Overriding
       1. Method overriding
       2. Constructor overriding
    2. Overloading
       1. Method Overloading
       2. Constructor Overloading
       3. Operator Overloading

17. Class re-usability
18. Composition

19. Aggregation
20. Inheritance – single , multi level, multiple, hierarchical and hybrid inheritance and Diamond inheritance
21. Constructors in inheritance
22. Object class
23. super()
24. Runtime polymorphism
25. Method overriding
26. Method resolution order(MRO)
27. Method overriding in Multiple inheritance and Hybrid Inheritance
28. Duck typing
29. Concrete Methods in Abstract Base Classes
30. Difference between Abstraction & Encapsulation
31. Inner classes
32. Introduction
33. Writing inner class
34. Accessing class level members of inner class
35. Accessing object level members of inner class
36. Local inner classes
37. Complex inner classes
38. Case studies

1. What is Exception?
2. Why exception handling?
3. Syntax error v/s Runtime error
4. Exception codes – AttributeError,
ValueError, IndexError, TypeError…
1. What is Exception?
2. Why exception handling?
3. Syntax error v/s Runtime error
4. Exception codes – AttributeError,
ValueError, IndexError, TypeError…
a. Handling exception – try except block
b. Try with multi except
c. Handling multiple exceptions with single except blockr
5. Finally block
a. Try-except-finally
b. Try with finally
c. Case study of finally block
6. Raise keyword
a. Custom exceptions / User defined exceptions
b. Need to Custom exceptions
5. Finally block
a. Try-except-finally
b. Try with finally
c. Case study of finally block
6. Raise keyword
a. Custom exceptions / User defined exceptions
b. Need to Custom exceptions
7. Case studies

1. Understanding regular expressions
2. String v/s Regular expression string
3. “re” module functions
4. Match()
5. Search()
6. Split()
7. Findall()
8. Compile()
9. Sub()

1. Logging Levels
2. implement Logging
3. Configure Log File in over writing Mode
4. Timestamp in the Log Messages
5. Python Program Exceptions to the Log File
6. Requirement of Our Own Customized Logger
7.  

1. How to use Date & Date Time class
2. How to use Time Delta object
3. Formatting Date and Time
4. Calendar module
5. Text calendar
6. HTML calendar

1. Shell script commands
2. Various OS operations in Python
3. Python file system shell methods
4. Creating files and directories
5. Removing files and directories
6. Shutdown and Restart system
7. Renaming files and directories
8. Executing system commands

1. Introduction
2. Multi tasking v/s Multi threading
3. Threading module
4. Creating thread – inheriting Thread class , Using callable object
5. Life cycle of thread
6. Single threaded application
7. Multi threaded application
8. Can we call run() directly?
9. Need to start() method
10. Sleep()
11. Join()
12. Synchronization - Lock class – acquire(), release() functions
13. Case studies

1. Introduction
2. Importance of Manual garbage collection
3. Self reference objects garbage collection
4. ‘gc’ module
5. Collect() method
6. Threshold function
7. Case studies

1. 1. Introduction to DBMS applications
   2. File system v/s DBMS
   3. Communicating with MySQL
   4. Python – MySQL connector
   5. connector module
   6. connect() method
   7. Oracle Database
   8. Install cx_Oracle
   9. Cursor Object methods
   10. execute() method