What Are the Most Popular Software Libraries?
If you are new to programming, you can easily get overwhelmed with all the capabilities the programming language or framework of your choice has. However, one thing in particular that interests programmers and businesses looking to improve their DevOps efforts is software libraries.
There are hundreds of software libraries, such as the Python Requests Library, out there. How do you choose the right one for your project, though? Here is everything you need to know about software libraries, including which are the most popular, their use cases, and their features.
What is a software library?
While many applications have a unique use case and come with specific features, there are many things applications do in the same way. Nevertheless, you have to code the features of your application to enable it to do specific tasks.
Instead of coding from scratch, you can use previously written code that you can conveniently call upon wherever you need your app to complete the desired task. This previously written code is called a library.
Using a library such as Python Requests Library or TensorFlow saves you a lot of time. Instead of “reinventing the wheel”, you get to use a library with out-of-the-box methods you can call upon to optimize tasks.
What are the main use cases and features in software libraries?
The main use cases of libraries are tied to the given project. For instance, libraries can be used to efficiently build apps and websites. Since a library includes specific pre-coded components, these components dictate its use case.
Libraries can help programmers facilitate data gathering and management, machine learning, and animations. Libraries can also help them build interactive user interfaces and streamline server connections and user authentication. Companies with small IT and developer teams often use them to get things done more efficiently without sacrificing the functionality and stability of the app.
Sometimes, developers can use a library to address a specific challenge when building features. They will use a single component of the library to overcome the challenge and continue working on things that need to be coded ground up.
Finally, libraries can help developers gain insights and get inspired to solve a particular problem. With access to a library, they can quickly get a different perspective and overcome a challenging task.
The most popular software libraries
While there are hundreds of software libraries, only a couple of them have become immensely popular. Here are a couple of them, including their features and use cases.
Python Requests Library
Python Requests Library comes with pre-written code to help you resolve challenges when programming in Python. With this specific library, you can execute HTTP operations like POST and GET and get access to target data on a specific website or through a web service. It’s commonly used for making web scraping bots as it supports reading, updating, and sending new headers, authentication, and HTTP exceptions and timeouts.
NumPy is another popular library used in programs written in Python. But unlike Python Requests Library, which streamlines HTTP connections, this one enables developers to create powerful arrays.
That’s why its primary use case is in building machine learning models. NumPy simplifies and helps iterate values of data sets at scale, thus enabling developers to train machine learning models more efficiently.
SMFL is an acronym for The Simple and Fast Multimedia Library. This library is one of the most popular libraries among C++ developers. Developers use it to enable apps to connect to several devices.
However, the primary purpose of SMFL is to facilitate the creation of images and the generation of sound effects. Thanks to its unique features, SMFL is especially popular among developers interested in building games and multimedia applications.
TensorFlow is one of those libraries that are popular among developers specializing in different programming languages. You can use it both in C++ and Python. The library comes from Google’s kitchen and was developed with machine learning in mind. TensorFlow simplifies the creation and training of machine learning models. You can even use it for your own neural network project.
Some of the most popular software libraries include Python Requests Library, NumPy, SMFL, p5, and TensorFlow. As you can see, each one of them comes with unique components and features. Choosing the right library for your next project will strictly depend on which problem you are looking to solve.