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1. Python Programming Language Syllabus

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Python Programming Language Syllabus, Programming Environment, Keywords, Identifiers, Syntax, Code libraries, Control Flow, and Object-Oriented programming.
Python Programming Language Syllabus for Software Developers, Software Testers, Data Scientists, AI & ML Professionals, Network Programmers, Ciber Security professionals, etc,
Python Programming Syllabus
Python is a general-purpose programming language, it is used to develop Web, IoT, Data Science, AI & ML, Games, Ciber Security, Scientific, Numeric, Network Programming, etc, applications.
Below concepts are the core concepts of Python and these can be used for all types of Python programming.
1. Python Installation/Environment Setup
2. Python Basic Syntax
3. Python Variables
4. Data Types
5. Python Operators
6. Python Control Flow – Decision making/Conditional statements
7. Python Control Flow – Loop statements
8. Python Control Flow – Branching statements
9. String handling in Python
10. Python Data Structures
11. Python Functions
12. Python Modules
13. Python IO (Input & Output)
14. Python Regular Expressions
15. Python Exception handling
16. Python Object-Oriented Programming
Python Complete Tutorial
Python Video Tutorial
Python Programming Syllabus
Python Programming Quiz
Python Interview Questions for Fresher
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1. Introduction to Python Programming Language
2. Download and Install Python
3. Python Language Syntax
4. Python Keywords and Identifiers
5. Comments in Python
6. Python Variables
7. Python Data Types
8. Python Operators
9. Python Conditional Statements
10. Python Loops
11. Python Branching Statements
12. Python Numbers
13. String Handling in Python
14. Python Data Structures - Lists
15. Python Data Structures - Sets
16. Python Data Structures - Tuples
17. Python Data Structures - Dictionaries
18. Python User Defined Functions
19. Python Built-in Functions
20. Python Modules
21. Python User Input
22. File Handling in Python
23. Python Date and Time
24. Python Exception Handling
25. Python Regular Expressions
26. Python Object Oriented Programming
27. Inheritance in Python
28. Polymorphism in Python
29. Abstraction in Python
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Python Programming Language Syllabus for Software Developers, Software Testers, Data Scientists, AI & ML Professionals, Network Programmers, Ciber Security professionals, etc,
Python Programming Syllabus
Python is a general-purpose programming language, it is used to develop Web, IoT, Data Science, AI & ML, Games, Ciber Security, Scientific, Numeric, Network Programming, etc, applications.
Below concepts are the core concepts of Python and these can be used for all types of Python programming.
1. Python Installation/Environment Setup
2. Python Basic Syntax
3. Python Variables
4. Data Types
5. Python Operators
6. Python Control Flow – Decision making/Conditional statements
7. Python Control Flow – Loop statements
8. Python Control Flow – Branching statements
9. String handling in Python
10. Python Data Structures
11. Python Functions
12. Python Modules
13. Python IO (Input & Output)
14. Python Regular Expressions
15. Python Exception handling
16. Python Object-Oriented Programming
Python Complete Tutorial
Python Video Tutorial
Python Programming Syllabus
Python Programming Quiz
Python Interview Questions for Fresher
--------------------------------------------------
1. Introduction to Python Programming Language
2. Download and Install Python
3. Python Language Syntax
4. Python Keywords and Identifiers
5. Comments in Python
6. Python Variables
7. Python Data Types
8. Python Operators
9. Python Conditional Statements
10. Python Loops
11. Python Branching Statements
12. Python Numbers
13. String Handling in Python
14. Python Data Structures - Lists
15. Python Data Structures - Sets
16. Python Data Structures - Tuples
17. Python Data Structures - Dictionaries
18. Python User Defined Functions
19. Python Built-in Functions
20. Python Modules
21. Python User Input
22. File Handling in Python
23. Python Date and Time
24. Python Exception Handling
25. Python Regular Expressions
26. Python Object Oriented Programming
27. Inheritance in Python
28. Polymorphism in Python
29. Abstraction in Python
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