Hire Python Developers
At BairesDev, we work exclusively with the Top 1% of Python Developers 🐍to guarantee our clients’ high-quality delivery every time.”
Python has become one of the most popular programming languages on the planet. Why? Let us count the ways. First off, Python is one of the easiest languages to learn. With strict adherence to simplicity and reusability, Python makes it possible to create more with less. Python is less verbose than most other languages and requires less understanding of programming and more understanding of the English language.
Python is also a high-level language, meaning you don’t have to deal with the low-level bits. And since it’s a very flexible language, it’s possible to use it for standard programming or even scripting, which makes it possible to integrate the language into a number of different projects, from web applications to backend servers, standard apps, and scripted services.
But one very important reason that makes Python stand out is the vast amount of libraries that are available for the language. These libraries make it such that Python is capable of doing just about anything you need.
Let’s take a look at some of the best libraries available for Python 3.
But, before we do so, let’s define exactly what a library is.
A library is a collection of objects (such as functions) that can be added to an application and called from within the application code when necessary. Think of libraries as supplying reusable chunks of code. This relieves engineers from having to constantly rewrite something that was already written and functions well.
Unlike other programming languages, such as C and C++, Python libraries do not pertain to any specific context. Instead, Python libraries describe a collection of core modules that extend the functionality of the language.
It’s also important to know that libraries have to be installed and imported into Python. This is done from the command line like so:
• To install a Python 3 library on a Debian-based Linux distribution, you'd issue a command like:
sudo apt-get install python3-LIBRARY -y:
Where LIBRARY is the name of the library to be installed.
• To import the library, you'd first have to access the Python console with the command:
python3
• Once at the console, you can import the library with a command like:
import LIBRARY
Where LIBRARY is the name of the library to be imported.
But what are the more important Python libraries you should know about (and be prepared to use)? Let’s take a look at some of the more popular Python libraries.
Matplotlib makes it possible for Python to create static, animated, and interactive visualizations for data. This library is mostly used for mathematical and scientific applications that require more than a single axis to represent data. With this module, you can build multiple plots at once and manipulate different data characteristics. Other features of Matplotlib include:
Pillow is a fork of PIL, the Python Image Library. This library adds image processing capabilities to the Python interpreter. Pillow was originally based on the code-structure of PIL but eventually migrated to a more improved and user-friendly tool. Anytime you need to work with images in Python, you’ll use Pillow. This library features:
NumPy is a library that adds support for large, multi-dimensional arrays and matrices. If you’re looking to use Python with big data, you’ll need this library. NumPy uses a high-level syntax, so it’s accessible to any Python programmer, regardless of experience level. This library features:
OpenCV Python is a massive library for computer vision, machine learning, and image processing. This library monitors all functions that are required to read and write images. Most Python programmers will agree that OpenCV is one of the most challenging libraries to learn. Part of the reason for that is because OpenCV can do so much. If you’re looking to use Python in Artificial Intelligence, you’ll be heavily using OpenCV Python. This library features:
Pandas is a powerful, flexible, data analysis, and manipulation tool. Because of its ability to translate complex operations with data, this library is in heavy rotation for Machine Learning, though it can be used for other fields, too. In fact, most consider Pandas a must-use for data science. This library features:
SciPy is one of the core packages that make up the SciPy stack (the Python library used for mathematics, science, and engineering). The SciPy library provides user-friendly and efficient routines for numerical integration, interpolation, optimization, linear algebra, and statistics. This library features:
TensorFlow is one of the main libraries used in Machine Learning. In fact, the TensorFlow library is used in almost every Google app focused on machine learning. TensorFlow is a symbolic math library with the main purpose of training and inference of deep neural networks. Features of TensorFlow include:
This only scratches the surface of the available Python libraries. In fact, you’ll find libraries for all types of functionality, such as cryptography, databases, game development, audio, ID3 handling, Java, networking, plotting, web development, and XML processing. To find out more about the available libraries, check out the Python Useful Modules page.
At BairesDev, we work exclusively with the Top 1% of Python Developers 🐍to guarantee our clients’ high-quality delivery every time.”
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