Which one can you do?
-
Web & Backend Developer: Django, FastAPI, PostgreSQL, REST API
-
Mobile Developer: Kivy, BeeWare, Plyer, Buildozer
-
AI/ML Developer: TensorFlow, PyTorch, Scikit-learn
-
Data Scientist: Pandas, NumPy, Seaborn, Power BI
-
Game Developer: Pygame, Arcade
-
Automation Engineer: Selenium, PyAutoGUI, Requests
-
Cybersecurity Expert: Scapy, Paramiko, Socket, Cryptography
-
Cloud Developer: AWS (boto3), Docker, FastAPI, Kubernetes
1. Web and Backend Development – Django
For web and backend development, Django is the best Python framework to start with. It allows you to build complete websites and backend systems quickly because it comes with built-in features for authentication, database management, routing, and administration. Django is beginner-friendly yet powerful enough for large-scale websites like Instagram and Spotify. With Django, you can create blogs, e-commerce sites, school management systems, or APIs.
2. Mobile App Development – Kivy
For mobile app development, the most practical Python tool is Kivy. It enables you to create Android and iOS applications using only Python. Kivy supports modern user interfaces with buttons, images, touch gestures, and more. It’s easy to integrate with mobile features like the camera or GPS through the Plyer library. Once your app is ready, you can package it into an Android APK using Buildozer and even publish it on Google Play.
3. Artificial Intelligence / Machine Learning – Scikit-learn
If your goal is to become an AI or machine learning developer, Scikit-learn is the perfect library to begin with. It provides simple and powerful tools for building predictive models, classifying data, clustering, and regression analysis. Scikit-learn is widely used in projects like spam detection, price prediction, and student performance analysis. It’s easy to learn before moving on to advanced AI frameworks like TensorFlow or PyTorch.
4. Data Science – Pandas
For data science, Pandas is an essential Python library. It helps you store, clean, analyze, and visualize data efficiently. Pandas works with data in rows and columns (similar to Excel spreadsheets) and is perfect for exploring large datasets. You can use it with other tools like NumPy and Matplotlib to create graphs, dashboards, and reports. Projects can include sales analysis, population trends, or financial record visualization.
5. Game Development – Pygame
When it comes to creating 2D games, Pygame is the best choice. It allows you to build interactive and fun games with sound, images, and motion. It’s excellent for learning programming logic while developing games such as Snake, Tic-Tac-Toe, shooting, or car racing games. Pygame is beginner-friendly and helps you understand event handling, loops, and graphics.
6. Automation and Scripting – Selenium
For automation tasks, Selenium is the go-to tool in Python. It allows you to control web browsers automatically to perform actions like clicking buttons, filling out forms, or scraping website data. Selenium is also used in software testing to check how websites behave under different conditions. You can create bots that automate repetitive tasks such as downloading files, posting to social media, or checking product prices online.
7. Cybersecurity and Networking – Scapy
If you are interested in cybersecurity, Scapy is the best library to start with. It helps you analyze network traffic, capture packets, and simulate hacking environments safely. With Scapy, you can create tools for network scanning, detecting intrusions, and testing firewalls. It’s widely used by ethical hackers and cybersecurity students to understand how data travels across networks.
8. Cloud and DevOps – boto3
For cloud computing and deployment, boto3 is the most recommended library. It is the official Python SDK for Amazon Web Services (AWS). With boto3, you can automate the creation of servers, upload files to cloud storage, manage databases, and monitor resources. It’s an excellent tool for anyone who wants to manage cloud systems or deploy web applications professionally.
Summary
Each of these eight libraries represents a major area of software development you can master with Python:
-
Web: Django
-
Mobile: Kivy
-
AI/ML: Scikit-learn
-
Data Science: Pandas
-
Game: Pygame
-
Automation: Selenium
-
Cybersecurity: Scapy
-
Cloud: boto3