Python Basics Training Course

Master Python programming from beginner to intermediate. Learn variables, loops, functions, OOP, file handling, and build real-world Python applications.

Duration 1.5 Months (40 Hours)
Mode Live Online / Offline
6,500+ Students
500+ Partners
90% Placement

📈 Your Market Value After This Course

What you'll achieve and how much you can earn after completing Python Basics

Fresher / Entry Level

₹3 - 5 LPA

0-2 years experience

  • Junior Python Developer
  • Python Trainee

Senior / Expert Level

₹10 - 18+ LPA

5+ years experience

  • Senior Python Developer
  • Technical Lead

🎯 Job Roles You Can Apply For

Python Developer
Junior Programmer
Software Trainee
Scripting Developer
Data Analyst Trainee
Automation Tester

⚡ Skills You'll Master

Python Programming
Variables & Data Types
Loops & Conditionals
Functions & Modules
Lists, Tuples, Dictionaries
File Handling
Exception Handling
OOP Concepts
NumPy & Pandas Basics
Git Basics

📚 Complete Course Syllabus

Master every aspect with our comprehensive curriculum

Module 1: Introduction to Python

  • What is Python - History & Features
  • Why Python - Applications of Python
  • Python 2 vs Python 3 - Differences
  • Installing Python & Setting Up Environment
  • Working with IDLE & VS Code
  • Writing First Python Program - Hello World
  • Python Comments - Single & Multi-line
  • Python as a Calculator

Module 2: Python Variables & Data Types

  • What are Variables - Rules for Naming
  • Assigning Values to Variables
  • Multiple Assignment - a,b,c = 1,2,3
  • Python Data Types - Numeric, String, Boolean
  • Integers & Floats
  • Boolean Data Type - True/False
  • Type Conversion - int(), float(), str()
  • Checking Data Type - type() function
  • Dynamic Typing in Python
  • Constants in Python

Module 3: Operators & Expressions

  • Arithmetic Operators - +, -, *, /, %, //, **
  • Comparison Operators - ==, !=, >, <, >=, <=
  • Logical Operators - and, or, not
  • Assignment Operators - =, +=, -=, *=, /=
  • Identity Operators - is, is not
  • Membership Operators - in, not in
  • Bitwise Operators - &, |, ^, ~, <<, >>
  • Operator Precedence & Associativity

Module 4: Control Flow - Conditionals

  • if Statement - Basic Syntax
  • if-else Statement
  • if-elif-else Ladder
  • Nested if Statements
  • Short-hand if & if-else (Ternary Operator)
  • match-case Statement (Python 3.10+)
  • Practical Examples - Grade Calculator

Module 5: Loops in Python

  • Introduction to Loops - Why Loops
  • Introduction to OOP - Classes & Objects
  • Creating Classes - class Keyword
  • while Loop - Syntax & Examples
  • __init__() Method - Constructor
  • Infinite while Loop
  • Instance Variables & Class Variables
  • for Loop - Iterating over Sequences
  • range() Function in Loops
  • Instance Methods & Class Methods (@classmethod)
  • Static Methods (@staticmethod)
  • Loop Control Statements - break, continue, pass
  • Nested Loops
  • Inheritance - Single, Multiple, Multilevel
  • for Loop with else Clause
  • super() Function - Calling Parent Methods
  • Method Overriding
  • Looping Techniques - enumerate(), zip()
  • Practical Examples - Pattern Printing, Sum of Numbers
  • Encapsulation - Public, Private (_), Protected (__)
  • Polymorphism - Operator Overloading
  • Abstraction - Abstract Classes (abc module)

Module 6: Strings & String Methods

  • What are Strings - Creating Strings
  • Single, Double & Triple Quotes
  • String Indexing & Slicing
  • Escape Sequences - , , \, ', "
  • String Concatenation & Repetition
  • String Methods - upper(), lower(), capitalize()
  • String Methods - strip(), split(), join()
  • String Methods - find(), replace(), count()
  • String Methods - isalpha(), isdigit(), isalnum()
  • String Formatting - format() method
  • f-strings - Formatted String Literals
  • Raw Strings - r"string"

Module 7: Lists, Tuples & Sets

  • What are Lists - Creating Lists
  • Accessing List Elements - Indexing & Slicing
  • List Methods - append(), extend(), insert()
  • List Methods - remove(), pop(), clear()
  • List Methods - index(), count(), sort(), reverse()
  • List Comprehension
  • What are Tuples - Immutable Sequences
  • Tuple Methods - count(), index()
  • Tuple Packing & Unpacking
  • What are Sets - Unordered Collection
  • Set Methods - add(), remove(), discard(), union(), intersection()
  • List vs Tuple vs Set - Comparison

Module 8: Dictionaries

  • What are Dictionaries - Key-Value Pairs
  • Creating & Accessing Dictionaries
  • Dictionary Methods - keys(), values(), items()
  • Dictionary Methods - get(), update(), pop(), clear()
  • Iterating over Dictionaries
  • Nested Dictionaries
  • Dictionary Comprehension
  • DefaultDict & OrderedDict

Module 9: Functions & Modules

  • What are Functions - Code Reusability
  • Defining & Calling Functions - def
  • Parameters & Arguments
  • Return Statement - Returning Values
  • Default Parameters & Keyword Arguments
  • Variable Scope - Local & Global Variables
  • Lambda Functions - Anonymous Functions
  • Recursion - Recursive Functions
  • *args and **kwargs - Variable Arguments
  • What are Modules - import Statement
  • Creating Custom Modules
  • Built-in Modules - math, random, datetime

Module 10: File Handling

  • What is File Handling - Need for Files
  • Opening Files - open() function, modes (r, w, a, r+)
  • Reading Files - read(), readline(), readlines()
  • Writing Files - write(), writelines()
  • Appending to Files
  • Closing Files - close() method
  • with Statement - Context Manager
  • Working with CSV Files - csv module
  • Working with JSON Files - json module
  • File & Directory Operations - os module

Module 11: Exception Handling

  • What are Exceptions - Errors vs Exceptions
  • Built-in Exceptions - TypeError, ValueError, ZeroDivisionError
  • try-except Block
  • Multiple except Blocks
  • else & finally Clauses
  • raise Keyword - Raising Exceptions
  • Creating Custom Exceptions
  • assert Statement - Debugging

Module 12: Object Oriented Programming

Module 13: Python Libraries (NumPy, Pandas)

  • Introduction to NumPy
  • NumPy Arrays - Creating & Manipulating
  • NumPy Array Operations
  • Introduction to Pandas
  • Pandas Series & DataFrame
  • Reading Data with Pandas - CSV, Excel
  • Basic Data Manipulation with Pandas

Module 14: Real-World Python Projects

  • Project 1: Calculator Application
  • Project 2: Number Guessing Game
  • Project 3: Contact Book Application
  • Project 4: To-Do List Application
  • Project 5: Student Grade Management System
  • Project 6: Password Generator
  • Capstone Project - Complete Python Application

⭐ Why Choose Tekksol Global?

We provide the best learning experience with industry experts

Expert Trainers

Learn from industry professionals with 10+ years of Python experience

Hands-on Projects

Work on 10+ real-world Python projects including games and applications

Industry Certification

Get globally recognized Python certification

100% Placement Support

Tie-ups with 500+ companies for Python roles

Resume Building

Professional resume & portfolio with Python projects

Mock Interviews

Regular mock interviews with detailed feedback

💻 Real-Time Projects

Build impressive portfolio with industry-relevant projects

Number Guessing Game

Create an interactive number guessing game with random number generation, difficulty levels, and score tracking.

Python Random Module Loops Conditionals

Contact Book Application

Build a contact management system with add, search, update, delete, and file persistence functionality.

Python File Handling Functions Dictionaries

Student Grade Management System

Develop a student grade management system with multiple subjects, average calculation, and grade determination.

Python Lists Dictionaries Functions OOP

🚀 Placement Assistance

We're committed to your success beyond the course

Placement Support Includes:
  • Resume & LinkedIn Profile Building
  • Aptitude & Technical Training
  • Mock Interviews with Industry Experts
  • Soft Skills & Communication Training
Our Hiring Partners:
  • 500+ Hiring Partners
  • Unlimited Interview Opportunities
  • Job Portal Access
  • Life-long Placement Support
Our Top Hiring Partners

❓ Frequently Asked Questions

Got questions? We've got answers

What are the prerequisites for Python course?
No prior programming experience is required. Basic computer knowledge is sufficient.
What is the duration of the course?
The course duration is 1.5 months (40 hours) with flexible batch timings.
Will I learn OOP concepts in Python?
Yes, the course covers Object Oriented Programming including classes, inheritance, polymorphism, and encapsulation.
What projects will I build?
You will build 10+ projects including Calculator, Game, Contact Book, and Student Management System.
Is placement assistance provided?
Yes, we provide 100% placement assistance with 500+ hiring partners.

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