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.

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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)

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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)

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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

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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

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📌 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

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Final Step: Real-World Applications & Cybersecurity Challenges

🔥 Test Skills on Platforms:

• TryHackMe Python for Pentesters

• Hack The Box Scripting Challenges

• Bug Bounty (HackerOne, Bugcrowd)

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

🔥 Start learning now!