Python programming can be used for practically anything: building web interfaces, analyzing big data, creating games, gluing together parts of software packages written in other programming languages, or serving as a more powerful shell scripting language.

As for Python's ease of use, its simple syntax and structure let engineers with practically any level of experience get started with industry-level Python programming very quickly. Python supports several paradigms beyond the usual functional and object-oriented ones, including structured, imperative, and aspect-oriented programming.

Rust is an open-source systems programming language that focuses on speed, memory safety, and concurrency. Unlike many higher-level programming languages, Rust has neither garbage collection nor a virtual machine. Instead, Rust addresses well-known problems with long-established low-level programming languages such as C or C++.

The best Python libraries to check out

Pandas

Pandas is an open-source library under the BSD (Berkeley Software Distribution) license. This popular library is widely used in data science. They are mainly used for data analysis, processing, cleaning, and so on. Pandas lets you perform simple data modeling and analysis operations without having to switch to another language such as R. It's one of the best Python libraries.

NumPy

NumPy is one of the most widely used open-source Python libraries, focused on scientific computing. It has built-in mathematical functions for fast calculations and supports large matrices and multidimensional data. “Numerical Python” is what the term “NumPy” stands for. It can be used in linear algebra, as a multidimensional container for generic data, and as a random number generator, among other things.

Keras

Keras is an open-source Python-based neural network library that lets us experiment quickly with deep neural networks. As deep learning becomes more widespread, Keras is a great option because, according to its creators, it's an API (application programming interface) designed for people, not machines. Keras has higher adoption in industry and the research community than TensorFlow or Theano. It's one of the best Python libraries.

TensorFlow

TensorFlow is a high-performance open-source library for numerical computation. It's also used in deep learning and machine learning algorithms. It was created by researchers on the Google Brain team at Google AI and is now widely used by researchers in mathematics, physics, and machine learning for complex mathematical calculations.

Scikit Learn

Scikit Learn is an open-source library for machine learning algorithms that runs in the Python environment. It can be used with both supervised and unsupervised learning algorithms. The library includes popular algorithms, as well as the NumPy, Matplotlib, and SciPy packages. Scikit Learn's best-known use is music recommendations on Spotify.

Rust libraries to check out

Serde

Serde is a versatile, high-performance, general-purpose serialization library. In fact, thinking about Java and .NET, don't try to read from or write to files yourself; instead, write your data types first and make sure you do all the work. As a bonus, you can mix and match data formats (YAML, JSON) once everything is done. It's one of the best Rust libraries.

Rayon

Rayon is a “data parallelism library for Rust,” or, more simply, give it data and it will know how to split it into independent chunks and use all your CPU cores. Or, even more simply, give it a list and it will parallelize a map over it, among other things. Extremely useful for CLI tools; not all languages are good at command-line parallelism.

Slog

Slog is a very comprehensive logging toolkit for Rust. It has a core, followed by many plugins, such as term for terminal output, json for JSON output, and much more. You should know that there's also log, which is supposed to become part of standard Rust and is a simpler alternative.

Hyper

Hyper is a fast HTTP implementation written in Rust and for Rust (unlike those written in C that cover the performance of dynamic languages). You'll find Hyper in almost every high-level library you use, and if you use it directly, it's a bit like Netty or Finagle.

PyO3

PyO3 is one of the most popular libraries for building Rust libraries in Python (or are those Python libraries in Rust?). If you want to see the result of that combination, here's hyperjson—a JSON library for Python powered by Rust's serde.