Python Learning Roadmap: From Basics to Advanced

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Foundations:

  • Install Python:
    Linux
    sudo apt update && sudo apt install python3 python3-pip
    
    Windows (PowerShell)
    winget install Python.Python.3.12
    

  • Set up VSCode with Python extensions.

Data Structures & Algorithms:

 Example: Quick Sort in Python
def quicksort(arr):
if len(arr) <= 1:
return arr
pivot = arr[len(arr) // 2]
left = [x for x in arr if x < pivot]
middle = [x for x in arr if x == pivot]
right = [x for x in arr if x > pivot]
return quicksort(left) + middle + quicksort(right)

OOP:

class Car:
def <strong>init</strong>(self, brand, model):
self.brand = brand
self.model = model

def display(self):
print(f"{self.brand} {self.model}")

Advanced Concepts:

  • Use `try-except` for error handling:
    try:
    x = 10 / 0
    except ZeroDivisionError:
    print("Division by zero!")
    

Standard Library:

 Linux: Use Python's `os` module to list files
python3 -c "import os; print(os.listdir('.'))"

Web Development (Flask):

from flask import Flask
app = Flask(<strong>name</strong>)

@app.route('/')
def home():
return "Hello, World!"

if <strong>name</strong> == '<strong>main</strong>':
app.run(debug=True)

Data Science & ML:

 Pandas DataFrame
import pandas as pd
data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}
df = pd.DataFrame(data)
print(df)

Testing & Debugging:

 Run pytest
pytest test_script.py -v

DevOps & Deployment:

 Dockerize a Python app
docker build -t my-python-app .
docker run -p 5000:5000 my-python-app

Best Practices:

  • Follow PEP 8:
    Install and run flake8
    pip install flake8
    flake8 script.py
    

You Should Know:

1. Linux Commands for Python Devs:

 Monitor Python processes
ps aux | grep python

Virtual Environment
python3 -m venv venv
source venv/bin/activate  Linux/Mac
venv\Scripts\activate  Windows

2. Windows PowerShell for Python:

 Check Python version
python --version

Run a script
python script.py

3. Git for Collaboration:

git clone https://github.com/user/repo.git
git add . && git commit -m "Update" && git push

4. Security Practices:

 Check for vulnerabilities in dependencies
pip install safety
safety check

What Undercode Say:

Mastering Python requires hands-on practice. Automate tasks, contribute to open-source, and explore cybersecurity scripting (e.g., building a port scanner with socket). The future of AI/ML relies on Python’s versatility—stay ahead by integrating DevOps (CI/CD) and cloud tools (AWS Lambda, GCP Functions).

Prediction: Python will dominate AI/ML and automation, with increased demand for Python + DevOps hybrid roles.

Expected Output:

print("Python Roadmap Executed Successfully!")

Relevant URL:

Python Beginner’s Guide Video

IT/Security Reporter URL:

Reported By: Habib Shaikh – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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