Course Python-Core

Breadcrumb Abstract Shape
Breadcrumb Abstract Shape

Python-Core

About Course

Learn Python Core from the fundamentals to advanced programming concepts through practical, hands-on training. This course covers Python syntax, variables, data types, operators, conditional statements, loops, functions, modules, packages, exception handling, file handling, object-oriented programming, and commonly used built-in data structures. You’ll build a strong programming foundation while learning how to write clean, structured, and reusable Python code.

Duration: 35 Hours

Category: Coding/Development

Skill Level: Beginner & Intermediate

Modules:     23

Subjects & Expertise

With extensive experience in Python programming and software development, I specialize in teaching Python fundamentals, object-oriented programming, data structures, exception handling, file processing, modules, and application development. The training focuses on developing strong programming fundamentals while helping learners understand how Python is applied to solve real-world development problems.

Whether you’re a beginner starting your programming journey or a professional looking to add Python to your technology skill set, the course provides hands-on learning through coding exercises, real-time examples, problem-solving activities, and practical projects. Students gain the confidence to write efficient Python programs, apply programming concepts, debug code, and develop reusable solutions.

Educational Background

Our Python Core training is designed by industry professionals with experience in software development and application engineering. The curriculum combines programming fundamentals with practical implementation, helping learners develop strong, structured, and job-ready Python programming skills.

Each module includes hands-on coding exercises, programming challenges, real-world scenarios, and practical assignments, enabling learners to confidently apply Python in software development, automation, scripting, backend applications, data processing, and other technology domains.

Modules

1. Python Introduction & Setup

  • Python Overview
  • Installing Python
  • IDE Setup (VS Code/PyCharm)
  • Running Python Programs
  • Python Syntax

2. Variables and Data Types

  • Variables
  • Numbers
  • Strings
  • Boolean
  • Type Conversion

3. Operators

  • Arithmetic Operators
  • Comparison Operators
  • Logical Operators
  • Assignment Operators
  • Membership Operators

4. Strings

  • String Methods
  • Slicing
  • Formatting
  • f-Strings
  • String Manipulation

5. Collections

  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • Nested Collections

6. Conditional Statements

  • if
  • if-else
  • elif
  • Nested Conditions

7. Loops

  • for Loop
  • while Loop
  • break
  • continue
  • pass
  • Nested Loops

8. Functions

  • Defining Functions
  • Arguments
  • Return Values
  • Lambda Functions
  • Scope

9. Modules and Packages

  • Import Statement
  • Built-in Modules
  • Creating Modules
  • Packages

10. Exception Handling

  • try
  • except
  • finally
  • raise
  • Custom Exceptions

11. File Handling

  • Reading Files
  • Writing Files
  • CSV Files
  • JSON Files
  • Context Manager

12. Object Oriented Programming

  • Classes
  • Objects
  • Constructors
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction

13. Advanced OOP

  • Method Overriding
  • Method Overloading Concepts
  • Static Methods
  • Class Methods
  • Magic Methods

14. Collections Module

  • Counter
  • defaultdict
  • deque
  • namedtuple

15. Date and Time

  • datetime Module
  • Date Formatting
  • Time Calculations

16. Regular Expressions

  • Pattern Matching
  • re Module
  • Search
  • Replace
  • Validation

17. Iterators and Generators

  • Iterators
  • Iterable Objects
  • Generators
  • yield

18. Python Utilities

  • zip
  • enumerate
  • map
  • filter
  • reduce
  • any
  • all

19. Database Programming

  • SQLite Basics
  • Connecting Databases
  • CRUD Operations
  • Parameterized Queries

20. Multithreading and Logging

  • Threads
  • Thread Pool
  • Logging Module
  • Debugging Techniques

21. Industry-Focused Python

  • Coding Standards (PEP8)
  • Virtual Environments
  • txt
  • Project Structure
  • Reusable Code Development

22. Automation with Python

  • File Automation
  • Email Automation Concepts
  • Report Generation
  • Scheduling Scripts

23. Mini Projects & Interview Questions

  • Employee Management System
  • File Processing Project
  • API Integration Project