Looking for the latest Core Python syllabus PDF. This 2025 Python syllabus outlines all core topics, including variables, data types, loops, functions, OOP, file handling, and more. Download the complete PDF for offline access and start mastering Python from the basics to advanced modules.
Core Python Syllabus
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Core Python Syllabus Course Syllabus
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Introduction to Python
- Overview of Python and its features
- Installing Python and setting up the environment
- Writing and executing Python scripts
- Python syntax, keywords, and indentation
- Understanding Python interpreters and IDEs
Python Basics
- Variables, constants, and data types
- Input and output operations
- Type conversion and type casting
- Operators: arithmetic, relational, logical, bitwise, and assignment
Control Flow Statements
- Conditional statements: if, elif, else
- Loops: for and while loops
- Control statements: break, continue, pass, and else with loops
Data Structures in Python
- Lists: creation, indexing, slicing, and comprehensions
- Tuples and sets: properties, methods, and use cases
- Dictionaries: creation, operations, and comprehensions
- Nested data structures and their applications
Object-Oriented Programming (OOP)
- Understanding classes and objects
- Instance variables and methods
- Constructors and destructors
- Key OOP principles: inheritance, polymorphism, encapsulation, and abstraction
Exception Handling
- Introduction to exceptions and error types
- Try, except, else, and finally blocks
- Raising exceptions and custom exception classes
- Assertions and their use cases
File Handling
- File operations: opening, reading, writing, and closing files
- Handling text, binary, CSV, and JSON files
- Working with file paths and directories
- Exception handling in file operations
Modules and Libraries
- Importing and using built-in modules
- Popular standard libraries: os, sys, math, datetime, random, etc.
- Installing and managing third-party libraries with pip
- Creating and using custom modules
Advanced Python Concepts
- Iterators and generators
- Decorators and closures
- Working with regular expressions
- Introduction to Python packages like NumPy, pandas, and matplotlib
Practical Applications
- Developing small-scale Python projects
- Debugging and troubleshooting Python code
- Real-world coding challenges and problem-solving exercises
Career-Oriented Training
- Python interview preparation
- Hands-on projects for resume building
- Industry-relevant tools and practices
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Hands On Training
3-5 Real Time Projects
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3+ Assessments / Mock Interviews
May 2025
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2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
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May 2025
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4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
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