Python is a popular language for web and software development. Python is a versatile and high-level programming language that is used in a variety of applications, including web development, data analysis, artificial intelligence, and machine learning.
Python has a ocean of libraries that can make a huge difference in speeding up development. Python Libraries are a set of useful functions that eliminate the need for writing codes from scratch. Let’s explore more about Python libraries.
What Is A Python Library?
A Python library is a collection of related modules. It contains bundles of code that can be used repeatedly in different programs. They save time and effort for programmers. Each Python library is a collection of modules, functions, and classes – all ready to be used.
How To Choose A Python Library To Use
With thousands of Python libraries out there, choosing the right Python library can sometimes may seem tricky. Here are some key factors you can consider to help you make a wise choice.
- Project Needs: Main goal of the project.
- Python Version Compatibility: Make sure the library you’re considering is compatible with the Python version you’re using.
- Budget Considerations: Make sure if you are using a paid library, it will justify the cost, especially when free alternatives might suffice.
- Performance: Consider how the library will perform under your expected workload and how it scales.
Top Python Libraries in 2024
| Python Library | Primary Benefit | Highlights |
| Requests | Streamlines HTTP requests for easy and efficient web communication in Python | – Effortless HTTP Requests – Automatic Handling – Customization and Flexibility |
| FastAPI | Provides a modern, fast (high-performance) web framework for building APIs with Python based on standard Python type hints. | – Automatic Interactive Documentation – Strong Validation and Serialization – Asynchronous Support |
| Asyncio | Enhances asynchronous programming capabilities in Python, making it easier to write concurrent code. | – Asynchronous and Concurrent Programming – Standard Library Integration – Improved Performance |
| aiohttp | Enables asynchronous HTTP Client/Server functionalities in Python | – Asynchronous Client/Server Framework – WebSockets Support – Streaming Data |
| Tkinter | Provides a simple way to create GUI applications in Python. | – Great for Learning – Customizable Widgets – Event-Driven |
| TensorFlow | Open-source software library for machine learning and artificial intelligence. | – Scalable Machine Learning – GPU and TPU Support – Advanced Optimization |
| Scikit-learn | Free Python library for machine learning | – Comprehensive Machine Learning Toolkit – Integration with Python Ecosystem – Active Community and Development |
| Matplotlib | Allows developers to create static animated and interactive animations in Python. | – Object Hierarchy – Versatile Plotting Capabilities – Integration with Data Science Tools |
| NumPy | Used for technical and scientific computing. | – Efficient Array Processing – Numerical Capabilities – Vectorization |
| Seaborn | Provides a high-level interface for drawing attractive and informative statistical graphics. | – Simplified Statistical Plotting – Advanced Visualization Types – Customizable |
Wrapping Up
Here is it, the 10 best Python libraries in 2024. Python still stands as one of the three most popular programming languages because even non-programmers can handle it because of its easy-to-use, intuitive nature.
We at Resfeber, can help ease up the setup process with these Python libraries. We’ve put together the most helpful Python libraries that developers should know about — and rely on — in 2024.