Python

From your first script to real automation, APIs and data work — Python the way developers use it.

  • 2–3 months
  • Beginner → Intermediate
  • Online & Offline
  • Certificate + internship project
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What you’ll learn

  • Write clean, readable Python from day one
  • Think in data structures and solve problems step by step
  • Work with files, APIs and databases
  • Build a small web app with Flask
  • Use Git and GitHub like a working developer
  • Approach coding interview questions with confidence

Curriculum

8 modules

01 Python foundations
  • variables
  • data types
  • operators
  • input/output
  • conditions
  • loops
02 Functions & modules
  • functions
  • arguments
  • scope
  • modules
  • packages
  • pip
  • virtual environments
03 Data structures
  • lists
  • tuples
  • sets
  • dictionaries
  • comprehensions
  • problem-solving practice
04 Object-oriented Python
  • classes
  • objects
  • inheritance
  • polymorphism
  • dunder methods
05 Files, errors & APIs
  • file handling
  • CSV/JSON
  • exceptions
  • requests
  • consuming REST APIs
06 Databases & web
  • SQL basics
  • SQLite
  • Flask routes
  • templates
  • forms
07 Data handling
  • NumPy and Pandas basics
  • cleaning and summarising data
08 Capstone & Git
  • Git workflow
  • GitHub portfolio
  • final project review

Projects you’ll build

01

Expense tracker with file storage

02

Weather or news app using a public API

03

Flask web app with login and a database

04

Data analysis report on a real dataset

Tools & technologies

  • Python 3
  • VS Code
  • Git & GitHub
  • pip
  • Flask
  • SQLite
  • Pandas

How the program runs

  1. LearnLive classes, 2–3 times a week, in a batch of 10–15.
  2. BuildA guided project after each module, reviewed by your mentor.
  3. InternshipA team project with real workflows — Git, reviews, deadlines.
  4. Career readyCertificate plus a GitHub portfolio you can show recruiters.

About Python

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming.

Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language. Python 3.0, released in 2008, was a major revision and not completely backward-compatible with earlier versions. Beginning with Python 3.5, capabilities and keywords for typing were added to the language, allowing optional static typing. As of 2025, the Python Software Foundation supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, following the projects annual release cycle and five-year support policy. Earlier versions in the 3.x series have reached end-of-life and no longer receive security updates.

Python has gained widespread use in the machine learning community. It is widely taught as an introductory programming language. Since 2003, Python has consistently ranked in the top ten of the most popular programming languages in the TIOBE Programming Community Index, which ranks based on searches in 24 platforms.

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Your next step

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