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Foundations:
- Set up Python & IDE (e.g., PyCharm, VSCode).
- Learn basics: syntax, data types, operators, control flow, functions.
Data Structures & Algorithms:
- Master lists, tuples, sets, dictionaries.
- Learn advanced structures (stacks, queues, trees) and algorithms (searching, sorting).
OOP:
- Understand classes, objects, inheritance, polymorphism, encapsulation, decorators, and magic methods.
Advanced Concepts:
- Explore functional programming, error handling, file I/O, modules, and packages.
Standard Library:
- Get familiar with modules like os, sys, datetime, collections, itertools, re.
Web Development:
- Learn HTML/CSS basics, frameworks (Flask, Django, FastAPI), and build RESTful APIs.
Data Science & ML:
- Learn NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow/PyTorch.
Testing & Debugging:
- Master testing with unittest/pytest and debugging tools.
DevOps & Deployment:
- Learn Git, Docker, CI/CD with GitHub Actions.
Best Practices:
- Follow PEP 8, optimize performance, and learn security basics.
Specializations:
- Web scraping, GUI, game dev, networking.
Continuous Learning:
- Build projects, contribute to open-source, attend conferences.
You Should Know:
1. Python Installation and Setup:
<h1>Install Python on Linux</h1> sudo apt update sudo apt install python3 <h1>Verify installation</h1> python3 --version
2. Basic Python Commands:
<h1>Hello World</h1>
print("Hello, World!")
<h1>Variables and Data Types</h1>
x = 10
y = "Python"
print(type(x)) # Output: <class 'int'>
print(type(y)) # Output: <class 'str'>
3. File I/O Operations:
<h1>Writing to a file</h1>
with open("example.txt", "w") as file:
file.write("Hello, Python!")
<h1>Reading from a file</h1>
with open("example.txt", "r") as file:
content = file.read()
print(content)
4. Using Python’s OS Module:
import os
<h1>List files in a directory</h1>
files = os.listdir('.')
print(files)
<h1>Create a new directory</h1>
os.mkdir("new_directory")
5. Git Basics:
<h1>Initialize a new Git repository</h1> git init <h1>Add files to staging area</h1> git add . <h1>Commit changes</h1> git commit -m "Initial commit"
6. Docker Commands:
<h1>Pull a Docker image</h1> docker pull python:3.9 <h1>Run a Docker container</h1> docker run -it python:3.9 bash
7. Testing with Pytest:
<h1>Example test function</h1> def add(x, y): return x + y <h1>Test case</h1> def test_add(): assert add(2, 3) == 5
8. Web Scraping with BeautifulSoup:
from bs4 import BeautifulSoup
import requests
<h1>Fetch webpage content</h1>
response = requests.get("https://example.com")
soup = BeautifulSoup(response.text, 'html.parser')
<h1>Extract title</h1>
title = soup.title.string
print(title)
What Undercode Say:
Mastering Python is a journey that requires consistent practice and exploration. The roadmap provided here is a solid foundation for anyone looking to dive into Python development, whether for web development, data science, or automation. By following this guide, you’ll not only learn the language but also understand how to apply it in real-world scenarios. Remember, the key to becoming proficient in Python is to build projects, contribute to open-source, and continuously learn. Happy coding!
For further reading, check out the official Python documentation: Python Docs.
References:
Reported By: Parasmayur Python – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
