Python

Python Mastery Roadmap

This is a detailed roadmap for learning Python, covering everything from basics to advanced, including security, automation, and hacking-related Python topics.

Phase 1: Python Foundations

✅ Syntax & Basics

  • Variables, Data Types (int, float, string, list, tuple, dict, set)

  • Operators (Arithmetic, Logical, Comparison, Bitwise)

  • Control Flow (if-else, loops, break, continue)

  • Functions & Scope (Global, Local, lambda)

✅ Python Data Structures

  • Lists, Tuples, Dictionaries, Sets

  • List Comprehensions, Generators

  • Stack, Queue, Linked List (for DSA)

✅ File Handling & OS Operations

  • Reading/Writing Files (open(), with open())

  • Working with OS (os, shutil, sys, pathlib)

✅ Exception Handling & Debugging

  • try-except-finally, Custom Exceptions

  • Logging (logging module)

✅ OOP in Python

  • Classes & Objects

  • Encapsulation, Inheritance, Polymorphism

  • @staticmethod, @classmethod, @property

  • Magic Methods (__str__, __repr__, __getitem__, etc.)

✅ Python Modules & Virtual Environments

  • Importing Modules (import, from)

  • Creating Custom Modules

  • Virtual Environments (venv, pipenv)

📌 Mini Projects:

  • CLI To-Do List App

  • Basic File Organizer (Sort files by type)

Phase 2: Advanced Python & Automation

✅ Python Functional Programming

  • Higher-Order Functions (map, filter, reduce)

  • Closures & Decorators (@decorator)

  • Threading & Multiprocessing (threading, multiprocessing)

✅ Web Scraping & Automation

  • requests & BeautifulSoup (HTML Parsing)

  • Selenium (Automating Web Browsing)

  • scrapy (Advanced Scraping)

✅ Networking & Sockets

  • socket (Creating Clients & Servers)

  • paramiko (SSH Automation)

  • scapy (Packet Sniffing & Spoofing)

📌 Mini Projects:

  • Automated Form Filler (Selenium)

  • Network Scanner (Python + Scapy)

Phase 3: Data Science, Machine Learning & Security

✅ Data Science & AI with Python

  • numpy (Numerical Computing)

  • pandas (Data Analysis)

  • matplotlib, seaborn (Data Visualization)

  • scikit-learn (Machine Learning)

✅ Cybersecurity & Ethical Hacking with Python

  • Writing Custom Keyloggers

  • Creating Port Scanners (socket)

  • Automating SQL Injection Tests

  • Writing Malware & Reverse Shells

  • Bypassing Firewalls & Analyzing Traffic (scapy)

📌 Mini Projects:

  • Brute Force SSH Login Script

  • XSS Scanner for Web Apps

Phase 4: Web Development & API Security

✅ Backend Development (Django & Flask)

  • Creating APIs (Flask, Django REST Framework)

  • Authentication (JWT, OAuth2)

  • Secure Coding Practices (Sanitizing Inputs, Avoiding Injections)

✅ API Hacking & Pentesting

  • Using requests to exploit APIs

  • Automating OWASP Top 10 Attacks

📌 Mini Projects:

  • Secure Login System (Flask + JWT)

  • Custom API Rate Limiter

📌 Useful GitHub Repos

Repository
Description
Link

Awesome Python

An opinionated list of awesome Python

GitHub

malwarebazaar

Collection of malware samples

GitHub

tensorflow/models

AI/ML models by Google

GitHub

scapy

Python packet manipulation

GitHub

Final Step: Real-World Applications & Cybersecurity Challenges

🔥 Test Skills on Platforms:

🚀 By completing this, you’ll master Python for: ✅ Full-Stack Development ✅ Cybersecurity & Ethical Hacking ✅ Automation & Scripting ✅ Reverse Engineering & Malware Analysis

🔥 Start learning now!

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