Admissions Open for JANUARY Batch

w334

Learn Python programming, APIs, error handling, data manipulation, web scraping, and workflow automation

Days : Tue & Thu

Duration : 20 Hours

Timings: 8 - 10 PM IST

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20 Hours

9 - 10 PM IST

Tue & Thu

PYTHON FOUNDATION

Learn Python programming, APIs, error handling, data manipulation, web scraping, and workflow automation

Online Live Instructor-Led Learning

20 Hours

8 - 10 PM IST

Tue & Thu

By end of this course

Get stronger in

Solid python fundamentals including file, data handling and advanced functions

Building mini projects using public APIs

Error handling, debugging workflows with logging & tracebacks

Get familier with

Python libraries like NumPy, Pandas for numeric computing & data manipulation

Webscaping using Beautiful soup library

Automating workflows - Sending Emails, Generating csv/excel reports.

New Batch Starts : jan 2026

Limited seats only 15 students per batch

Who Should Enroll?

This course is the foundation for anyone starting their journey in the AI Engineering career track.

Prerequisites

Familiarity in any programming language 

Experience our course risk-free

We offer a 15-day money back guarantee

Prerequisite

Familiarity with any programming language

Who Should Enroll?

This course is the foundation for anyone starting their journey in the AI Engineering career track.

By end of this course

Get Stronger in

  • Solid python fundamentals including file, data handling and advanced functions
  • Building mini projects using public APIs
  • Error handling, debugging workflows with logging & tracebacks

Get Familiar in

  • Python libraries like NumPy, Pandas for numeric computing & data manipulation
  • Webscaping using Beautiful soup library
  • Automating workflows – Sending Emails, Generating csv/excel reports.

Course Contents

Day 1 - VS Code & Environment Setup

You’ll set up your professional coding environment and learn to install VS Code, create virtual environments to keep projects clean, and organize folders using industry best practices, laying the foundation for success.

Day 2 - Advanced Data Structures

Advanced data structures like defaultdict, Counter, and OrderedDict. Handle nested dictionaries and powerful set operations to turn messy data into organized, easy-to-use information.

Day 3 - File Handling

Learn to safely read and write files using the with statement. Navigate your computer’s file system with os and pathlib, and start working with structured data in JSON format.

Day 4 - File Handling Continuation

Go deeper into file handling! Serialize data with pickle, manage complex file operations, and learn how to handle errors gracefully, so your programs never crash unexpectedly.

Day 5 - Practical Mini Project

Time to build! Apply your file and dictionary skills to a fun mini-project like a Word Counter or Log Parser and see your code come to life solving real problems.

Day 6 - Advanced Functions & Utilities

Unlock Python’s “magic”. Use getattr(), setattr(), globals(), and locals() to write dynamic, flexible code. Get your first taste of closures and decorators!

Day 7 - Pythonic Programming

Write cleaner, smarter code with list & dictionary comprehensions and generator expressions. Learn powerhouse functions like zip() and enumerate() to loop like a Python expert.

Day 8 - Numerical & Data Analysis

Jump into numerical computing with NumPy! Learn arrays, slicing, broadcasting,  and aggregations. Perfect for data analysis.

Day 9 - Pandas Deep Dive

The #1 tool for data pros! Learn DataFrames, filtering, and how to import/export CSV files. Your data skills are about to level up dramatically.

Day 10 - Practical Project - CSV Analyzer

Build a practical CSV Analyzer Project analyze student scores, calculate rankings, generate insights, and even visualize results. Perfect for school projects or portfolios!

Day 11 - Debugging

Become a debugging ninja! Use breakpoint(), pdb basics, and try/except blocks to squash bugs. Learn to read tracebacks and use the logging module to track what your code is doing.

Day 12 - Git & GitHub Desktop 1

Start your Git & GitHub journey! Set up GitHub Desktop, clone your first repo, and learn how to commit changes locally. Your first step toward collaborating like a real developer.

Day 13 - Git & GitHub Desktop 2

Learn to push code to the cloud, create branches for new features, and pull updates from teammates, essential for group projects or internships.

Day 14 - Intro to APIs

Discover the power of APIs! Learn HTTP basics and use the requests library to fetch live data from the internet like weather, news, or sports scores.

Day 15 - API-Based Project

Build your very own API-Based Project. Create a live data dashboard or automated notifier that pulls real-time information.

Day 16 - Web Scraping Basics

Learn web scraping with BeautifulSoup! Extract text, links, and tables from websites ethically and efficiently to gather data for your projects.

Day 17 - Project Based Automation 1

Automate the boring stuff! Build scripts that generate Excel/CSV reports, email them automatically, and even schedule tasks to run daily like a personal digital assistant.

Day 18 - Project Based Automation 2

Polish and expand your automation project by adding logging, file writing, and email features

Day 19 - Final Project

Choose your final showcase project: Word Counter, Student Analyzer, CSV Dashboard, or Portfolio Helper!

Day 20 - Final Project

Present your final project, complete a review quiz, push your code to GitHub, and reflect on your amazing journey. You’ll leave with a portfolio-ready project and the confidence to tackle any Python challenge!

Day 1 - VS Code & Environment Setup

You’ll set up your professional coding environment and learn to install VS Code, create virtual environments to keep projects clean, and organize folders using industry best practices, laying the foundation for success.

Day 2 - Advanced Data Structures

Advanced data structures like defaultdict, Counter, and OrderedDict. Handle nested dictionaries and powerful set operations to turn messy data into organized, easy-to-use information.

Day 3 - File Handling

Learn to safely read and write files using the with statement. Navigate your computer’s file system with os and pathlib, and start working with structured data in JSON format.

Day 4 - File Handling Continuation

Go deeper into file handling! Serialize data with pickle, manage complex file operations, and learn how to handle errors gracefully, so your programs never crash unexpectedly.

Day 5 - Practical Mini Project

Time to build! Apply your file and dictionary skills to a fun mini-project like a Word Counter or Log Parser and see your code come to life solving real problems.

Day 6 - Advanced Functions & Utilities

Unlock Python’s “magic”. Use getattr(), setattr(), globals(), and locals() to write dynamic, flexible code. Get your first taste of closures and decorators!

Day 7 - Pythonic Programming

Write cleaner, smarter code with list & dictionary comprehensions and generator expressions. Learn powerhouse functions like zip() and enumerate() to loop like a Python expert.

Day 8 - Numerical & Data Analysis

Jump into numerical computing with NumPy! Learn arrays, slicing, broadcasting,  and aggregations. Perfect for data analysis.

Day 9 - Pandas Deep Dive

The #1 tool for data pros! Learn DataFrames, filtering, and how to import/export CSV files. Your data skills are about to level up dramatically.

Day 10 - Practical Project - CSV Analyzer

Build a practical CSV Analyzer Project analyze student scores, calculate rankings, generate insights, and even visualize results. Perfect for school projects or portfolios!

Day 11 - Debugging

Become a debugging ninja! Use breakpoint(), pdb basics, and try/except blocks to squash bugs. Learn to read tracebacks and use the logging module to track what your code is doing.

Day 12 - Git & GitHub Desktop 1

Start your Git & GitHub journey! Set up GitHub Desktop, clone your first repo, and learn how to commit changes locally. Your first step toward collaborating like a real developer.

Day 13 - Git & GitHub Desktop 2

Learn to push code to the cloud, create branches for new features, and pull updates from teammates, essential for group projects or internships.

Day 14 - Intro to APIs

Discover the power of APIs! Learn HTTP basics and use the requests library to fetch live data from the internet like weather, news, or sports scores.

Day 15 - API-Based Project

Build your very own API-Based Project. Create a live data dashboard or automated notifier that pulls real-time information.

Day 16 - Web Scraping Basics

Learn web scraping with BeautifulSoup! Extract text, links, and tables from websites ethically and efficiently to gather data for your projects.

Day 17 - Project Based Automation 1

Automate the boring stuff! Build scripts that generate Excel/CSV reports, email them automatically, and even schedule tasks to run daily like a personal digital assistant.

Day 18 - Project Based Automation 2

Polish and expand your automation project by adding logging, file writing, and email features

Day 19 - Final Project

Choose your final showcase project: Word Counter, Student Analyzer, CSV Dashboard, or Portfolio Helper!

Day 20 - Final Project

Present your final project, complete a review quiz, push your code to GitHub, and reflect on your amazing journey. You’ll leave with a portfolio-ready project and the confidence to tackle any Python challenge!