# Topic covered
* Data Types
* Python inbuilt functions
* Dynamic type and Strong Type
* Python collections
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01-Python Basic
History, standard library, REPL, bytecode, modules, naming and scopes
# Topic covered
* Introduction to Python
* Python Name
* Where we can use Python
* Python Versions
* Flavors of Python
* Features of Python
* Why to use Python
* PEP - Python Enhancement Proposal
* Python Library
* Compiled language vs interpreted language
* Identifiers
* Reserved Words (Keywords)
* Process: Making Chai (Tea) - in Pythonic View
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Python roadmap
Python, Python setup, OOPs
01-Python, Pip installation
Set up with a Python programming environment
# Topic covered
Python different version installation in 2 ways
* By - Building Python from Source
* Using deadsnakes PPA (For Latest Python Versions)
Pip installation
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02-Python Virtual Environment
Virtualenv, Virtualwrapper
# Topic covered
* Virtual Environment introduction
* Need of virtual environment
* Virtual Env types
* virtualenv
* virtualenv & virtualenvwrapper
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01-Machine Learning
Ma
1.1 Data Science
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques
to find unseen patterns, derive meaningful information, and make business decisions.
Data science uses complex machine learning algorithms to build predictive models.
Data Science is a field which incorporates Artificial Intelligence, Data Mining, Big Data, Machine Learning, and Deep Learning.
01-MBA
Solopreneur to Entrepreneur
Solopreneur to Entrepreneur
02-ML | Feature Engineering
Ma
Missing Values
Missing values occurs in dataset when some of the informations is not stored for a variable.
There are 3 mechanisms
- Missing Completely at Random, MCAR
- Missing at Random MAR
- Missing data not at random (MNAR)
AI Editors Comparison
AI-native and AI-enhanced editors
AI editors are code editors and IDEs with deeply integrated AI assistance for coding, refactoring, debugging, and multi‑file changes. They vary by project context awareness, agent capabilities (planning/executing tasks), and integration with development workflows.
Leading AI editors
VS Code + GitHub Copilot
- Features: Inline code suggestions, chat integrations, Copilot Labs/agents, multi-language support.
- Advantage: Strong VS Code ecosystem, low setup friction, excellent for day-to-day autocompletion and prototyping.
Cursor (AI‑native)
- Cursor is a fork of Visual Studio Code
- Features: Built‑in chat, “Agent Mode”, multi‑file edits, command execution, session memory.
- Advantage: Designed for whole‑project changes and iterative workflows inside the editor; deep project-level context.
Moving from another editor to cursor?
[Read More]DSA
Ma
1. Understanding DSA:
Data Structures refer to the organization and management of data in a way that enables efficient access and modification.
Algorithms, on the other hand, are step-by-step procedures designed to solve specific problems.
Together, they provide a powerful toolkit for programmers to tackle complex computational challenges
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