Softlogic Systems Core Python Course Syllabus is specifically designed for College Students, Freshers, and Job Seekers. Our Core Python syllabus covers Python basics, syntax, data types, control structures, functions, modules, file handling, and object-oriented programming. Our Core Python Course Content helps you learn Core Python step by Step with real-time projects and Interview Preparations.
Core Python Syllabus
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Syllabus for The Core Python Syllabus Course
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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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