15 Python libraries to improve your coding in 2023

Originally posted on geeky-gadgets.

Python continues to be a preferred language for many developers due to its simplicity and versatility. In 2023, there are 15 Python libraries that stand out for their ability to significantly improve coding efficiency and productivity. The list has been created by the ArjanCodes YouTube channel and community explaining more about the coolest Python libraries you should know about in 2023.

Python libraries are like toolkits that offer pre-made solutions to common problems, allowing you to perform specific tasks without having to write the code from scratch.  Think of them as a set of tools in a toolbox; each tool has a particular function that can help you complete a job more efficiently. For example, if you’re working on data analysis, instead of writing code to sort or filter data, you can use a library that already has these capabilities.

Libraries are designed to be modular and focused, meaning each library usually serves a specific purpose. Some libraries are built for web development, some for data visualization, and others for machine learning. This modularity allows you to pick and choose the functionalities you need for your project, making your code more efficient and easier to manage.

Using a library involves incorporating it into your own code. Once it’s included, you can access a wide range of functionalities that the library offers. This can significantly speed up the development process, improve code reliability, and even enhance performance. Overall, Python libraries are valuable resources that can greatly improve your coding capabilities and the quality of your projects.

15 Python libraries to improve your coding in 2023

Other articles you may find of interest on the subject of Python and AI :

  • Pendulum, a utility for dealing with dates and times, offers an easy interface for computations and manipulations. It simplifies the process of managing dates and times, making it a must-have tool for developers dealing with time-sensitive data.
  • PyPDF, an open-source Python PDF library, is another essential tool. It allows developers to read, split, merge PDFs, add custom data or watermarks, and even add passwords to PDF files. This library is particularly useful for developers working on projects that require manipulation of PDF files.
  • For debuggingIcecream is a library that simplifies the process. It offers syntax-highlighted output and self-inspection capabilities, making it easier for developers to identify and fix errors in their code.
  • Loguru, a simplified logging library, is another valuable tool. It eliminates the need to create a logger object and offers features like automatic color addition and better date-time handling, making logging more straightforward and efficient.
  • Rich is a Python library that enhances the terminal experience by allowing developers to write rich text with color and style. It even supports rendering markdown and displaying tables, making it a powerful tool for enhancing terminal outputs.
  • Argparse, a standard library used for building simple command-line interfaces, is a staple in many developers’ toolkits. It simplifies the process of creating and managing command-line interfaces, making it easier for developers to interact with their programs.
  • Tqdm is a library that provides a progress bar for monitoring tasks in your code. This is particularly useful for long-running tasks, as it gives developers a visual representation of the task’s progress.
  • Xarray, a library for working with multi-dimensional arrays, is a powerful tool for scientific computing and data analysis. It offers a pandas-like interface, making it easier for developers to manipulate and analyze multi-dimensional data.
  • Polars, a data frame library optimized for speed, is ideal for handling large datasets. It offers superior performance, making it a go-to tool for developers working with big data.
  • Seaborn, a library for statistical data visualization, offers themes and color palettes for easy chart creation. It simplifies the process of creating visually appealing and informative charts, making it a must-have tool for data scientists and analysts.
  • Result is a library that allows for railroad-oriented programming, an alternative to handling errors using exceptions. This approach simplifies error handling and makes code more readable and maintainable.
  • Pydantic, a data validation library for Python, is used to validate data on the fly. It ensures that the data being processed meets the specified criteria, reducing the likelihood of errors.
  • FastAPI, a modern web framework for building back-end APIs with Python, supports concurrency and async await out of the box. This makes it easier for developers to build robust and efficient back-end services.
  • SQL Model, an ORM library built on both Pydantic and SQLAlchemy, simplifies database manipulation. It provides a high-level interface for interacting with databases, making it easier for developers to manage data.
  • HTTPX, a next-generation HTTP client, offers async support and full type annotation. This makes it a powerful tool for building and interacting with HTTP services.
  • Python-dotenv is a bonus library used to read key-value pairs from a .env file. It promotes security by keeping sensitive data out of the code, making it a must-have tool for developers working on projects that require handling sensitive data.

These 15 Python libraries offer a wide range of functionalities that can significantly improve your coding efficiency and productivity in 2023. Whether you’re a seasoned developer or just starting out, these libraries are worth exploring to enhance your Python coding experience.

Source: geeky-gadgets