Technology & Software Development

Python Programming

Python 3 • Jupyter Notebook • VS Code • Pandas

Learn Python from fundamentals to practical application, with programming exercises and project-based learning.

⏱ 2 months (self-paced) 📊 Beginner 🗣 English & Hindi 🏆 Certificate included

Course overview

Python Programming takes you from your very first line of code to writing useful, practical programs.

You will learn the core language — data types, control flow, functions, data structures, files and object-oriented programming — and then apply it to real tasks such as automation, working with APIs and handling data with Pandas.

Every module includes programming exercises, and the course is built around small projects so that you learn by writing code, not just by watching.

Course at a glance

Duration2 months (self-paced)
Difficulty levelBeginner
FormatOnline · self-paced
LanguageEnglish & Hindi

What you will learn

  • Write, run and debug Python programs
  • Use variables, data types, operators and control flow
  • Work with lists, tuples, sets and dictionaries
  • Write reusable functions and organise code into modules
  • Read and write text, CSV and JSON files
  • Handle errors with exceptions
  • Apply object-oriented programming in Python
  • Use popular libraries and virtual environments
  • Analyse data with NumPy and Pandas basics
  • Automate everyday tasks with Python scripts

Course curriculum

10 modules · 40 lessons
Module 1: Getting Started with Python4 lessons
📖 What Python is and where it is used 🔒
📖 Installing Python and VS Code 🔒
📖 Your first program 🔒
📖 Using Jupyter Notebook 🔒
Module 2: Python Basics4 lessons
📖 Variables and data types 🔒
📖 Input and output 🔒
📖 Operators and expressions 🔒
📖 Strings and string methods 🔒
Module 3: Control Flow4 lessons
📖 Conditional statements: if, elif, else 🔒
📖 for and while loops 🔒
📖 break, continue and pass 🔒
📖 Practice problems on logic building 🔒
Module 4: Data Structures in Python4 lessons
📖 Lists 🔒
📖 Tuples and sets 🔒
📖 Dictionaries 🔒
📖 List and dictionary comprehensions 🔒
Module 5: Functions & Modules4 lessons
📖 Defining functions, parameters and return values 🔒
📖 Default, keyword and variable arguments 🔒
📖 Scope and lambda functions 🔒
📖 Modules and packages 🔒
Module 6: Files & Exception Handling4 lessons
📖 Reading and writing text files 🔒
📖 Working with CSV and JSON 🔒
📖 Handling exceptions with try/except 🔒
📖 Creating custom exceptions 🔒
Module 7: Object-Oriented Programming4 lessons
📖 Classes and objects 🔒
📖 Constructors and instance methods 🔒
📖 Inheritance and polymorphism 🔒
📖 Magic methods and encapsulation 🔒
Module 8: Working with Libraries4 lessons
📖 pip and virtual environments 🔒
📖 Useful standard libraries: datetime, os, random 🔒
📖 Calling web APIs with requests 🔒
📖 Introduction to NumPy 🔒
Module 9: Data Handling with Pandas4 lessons
📖 Series and DataFrames 🔒
📖 Loading, cleaning and filtering data 🔒
📖 Grouping and summarising data 🔒
📖 Simple charts with Matplotlib 🔒
Module 10: Automation & Projects4 lessons
📖 Automating file and folder tasks 🔒
📖 Building command-line tools 🔒
📖 Final project planning and build 🔒
📖 Code review and next steps 🔒

Practical projects

Quiz Game

A command-line quiz application using functions, loops and dictionaries.

Expense Tracker

Record, categorise and summarise expenses stored in a CSV file.

File Organiser

An automation script that sorts files into folders by type and date.

Weather / API Data App

Fetch live data from a public web API and present it clearly.

Data Analysis Report

Clean and analyse a real dataset with Pandas and visualise the results.

Tools & software

Python 3Visual Studio CodeJupyter Notebook / Google Colabpip and virtual environmentsrequestsNumPyPandasMatplotlib

Who is this course for?

  • Students starting their programming journey
  • Graduates who want a strong first programming language
  • Working professionals who want to automate tasks
  • Career changers moving into technology
  • Beginners with no coding background

Career applications

The skills from this course can be applied to roles and projects such as:

  • Python Developer (entry level)
  • Automation and scripting for business tasks
  • Data handling and reporting
  • Foundation for AI, machine learning and data science
  • Back-end development with Python frameworks (next step)

Requirements

  • A laptop or desktop computer
  • No prior programming experience required
  • Basic computer skills — installing software, managing files

Certificate

🏆

Certificate of Completion

On successfully completing the course requirements — lessons, practical projects/assignments and assessments — you receive a Vector Tech Academy Certificate of Completion. Every certificate carries a unique certificate ID and a QR code that anyone (a client, an employer or an institute) can verify on our website. The certificate recognises that you completed this course and its projects; it is not a university degree or a government-recognised qualification.

Certificate terms →

Frequently asked questions

Is Python a good first programming language?
Yes. Python's readable syntax makes it one of the easiest languages to start with, and it is widely used in automation, data and AI.
Do I need to buy any software?
No. Python, VS Code, Jupyter Notebook and all libraries used in this course are free.
What can I do after this course?
You can continue to Data Structures & Algorithms or Artificial Intelligence, both of which build on Python.

Ready to start Python?

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