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Foundations
- Install Python and set up an IDE (PyCharm, VSCode).
- Learn syntax, data types, operators, control flow, and functions.
You Should Know:
Check Python version python --version Install virtual environment python -m venv myenv Activate environment (Linux/macOS) source myenv/bin/activate Install packages pip install numpy pandas
Data Structures & Algorithms
- Master lists, tuples, sets, dictionaries.
- Learn stacks, queues, trees, and sorting algorithms.
You Should Know:
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 & Advanced Concepts
- Classes, inheritance, polymorphism, decorators.
- Functional programming, error handling, file I/O.
You Should Know:
Class example class Car: def <strong>init</strong>(self, brand, model): self.brand = brand self.model = model def display(self): print(f"{self.brand} {self.model}")
Web Development & Data Science
- Flask/Django, REST APIs, NumPy, Pandas, TensorFlow.
You Should Know:
Run Flask app export FLASK_APP=app.py flask run Install ML libraries pip install scikit-learn tensorflow
DevOps & Deployment
- Git, Docker, CI/CD with GitHub Actions.
You Should Know:
Git commands git init git add . git commit -m "Initial commit" Dockerize Python app docker build -t my-python-app . docker run -p 4000:80 my-python-app
Best Practices
- PEP 8 compliance, security hardening, performance optimization.
You Should Know:
Check PEP 8 compliance pip install pycodestyle pycodestyle script.py Secure pip installations pip install --user --require-hashes -r requirements.txt
What Undercode Say
Mastering Python requires structured learning and hands-on practice. Focus on real-world projects, contribute to open-source, and stay updated with AI/ML advancements. Use Linux for development to leverage powerful scripting (grep
, awk
, sed
) and automation (cron
, bash
).
Expected Output:
A skilled Python developer capable of building scalable applications, automating workflows, and implementing machine learning solutions.
Prediction
Python will remain dominant in AI/ML, with increased integration in cybersecurity (e.g., penetration testing with scapy
, automation with paramiko
). Upskill in PyTorch and Kubernetes for future-proofing.
Relevant URLs:
IT/Security Reporter URL:
Reported By: Habib Shaikh – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅