Python has always been known as one of the most popular programming languages globally, but it’s recently gained notoriety among top companies that use Python to deliver their services.
From Netflix to Uber and YouTube, Python development is helping these companies solve problems they were unable to with other programming languages.
This article will examine why these companies have chosen Python development as their language of choice. We’ll also look at several reasons you should consider using Python for your next software project.
Read on to learn more about what makes Python the intelligent choice for today’s technology leaders!
The (Very) short history of python
Python was created by Guido van Rossum in 1991 and released to be public in 1991. Python was created as a scripting language for Amoebas’s GNU operating system that never made it past beta.
A few years later (1995), Python development became a full-fledged programming language used by web-based startups. Python is one of the most widely used languages, with over 2 million users worldwide.
In its 25 year history, Python has been downloaded an astonishing 200 million times! Here are some exciting Python stats from around the world:
- According to Stack Overflow’s developer survey, most developers prefer Python over any other language.
- As of 2021, 43% of worldwide developers used Python to carry out their tasks.
- Python is one of TIOBE’s top 5 programming languages for 2022.
- Python was ranked No. 1 in IEEE Spectrum Top Programming Languages.
- 93% of data scientists are using Python as their primary programming language, according to the KDNuggets study.
How does python work with data?
Python works with data in a variety of ways. For example, Python provides tools to store and organize information. In Python’s built-in dictionary data type, one can create associative arrays of values (e.g., lists of objects associated with unique identifiers).
Python also has numerous numerical and statistical analysis modules such as NumPy for complex numeric computations and SciPy for scientific computing.
Python’s high-level array processing capabilities make it ideal for working with big data sets. Even an open-source Python module called pandas makes it easy to manipulate, transform, filter, and query large datasets!
Python also offers a GUI framework typically used by Python developers when they need to build graphical user interfaces (GUIs) using Python code.
Since there are so many benefits to using Python for your data needs, it is no wonder why so many top companies choose Python development!
Why are top companies using python?
Python is a programming language that’s easy to learn and incredibly useful for all levels of software developers. You can create any software with Python; it has a low learning curve and can be used for web applications, games, mobile apps, etc.
Today it is used by industry giants such as Google, Reddit, Instagram, and Pinterest! It also enjoys wide usage in academic institutions worldwide as the first introduction to coding. Here are some other interesting pointers about Python development:
1. Scalability
Python scales well from large enterprise applications to small single-purpose scripts. Scaling an application requires handling increasing numbers of requests. Once the application code is written, it is difficult to rewrite it or further modify the code. So, hire a Python developer to quickly create adaptable codes for the developed app.
2. Platform-independent
Python is available on many platforms, including Windows, Mac OS X, Linux/Unix (including FreeBSD), OpenBSD, NetBSD, OSF1 V3+, HP-UX 11i v3+, Solaris 10, UnixWare 7 and SunOS 5. 10, RISC OS 4.02, AIX 5L5.2 or later.
3. Cross-platform scripting
Python can be used to quickly write programs that run on multiple platforms without rewriting them. For example, if you have a script written in Python 2 and want it to run under Python 3, you will only need to port your code instead of rewriting it completely.
4. Multi-language
Python supports integration with C, C++, and Java through several mechanisms. It allows Python users to leverage functionality existing in C libraries while maintaining an advantage over users of other languages that lack support for these integrations. Python users still enjoy a high degree of flexibility since they don’t have to rely solely on those C libraries if they decide not to.
5. Frameworks
With Python, you can develop web and mobile applications with various frameworks, libraries, and tools. These frameworks and libraries give Python the power it possesses today and will continue to do so in the future. There is also an extensive list of Python application development frameworks like Flask, Web2Py, Pandas, Numpy, Turbogears.
6. Code maintenance
Python’s dynamic nature makes it easier to maintain than statically typed languages. Static typing involves fixing bugs and errors at compile-time, requiring complex formal tools methodologies and incurring a considerable cost in programmer time. Dynamic typing means these problems are detected at runtime, making fixes easier and cheaper, but it also means shorter execution times for programs overall.
7. Learning curve
Python is arguably one of the easiest languages to get started in. The syntax is simple, and most people can grasp it within days. Due to its simplicity, Python can act as an excellent on-ramp for new programmers. Hire a python developer who knows how to program in one language can often quickly pick up another by studying their new target for a couple of hours.
8. Cost
Python can be run on pretty much any computer. All you need is a simple configuration required to make it work.
9. Diversity
Python is a multi-paradigm language, meaning you can use it to solve problems in different ways. It is an important feature that distinguishes Python from other languages. These features include functional, imperative, object-oriented programming styles, and aspect-oriented programming. You can switch between these modes, making your job easier.
10. Availability of python developers
Python developers are on par with languages like C and C++. You can also hire a Python developer to work on web applications alongside the application developers. This vast network of developers makes it easier for you to hire the right members for the job.
The future of python
Python is a robust programming language. It powers your favorite websites and web apps—from Google and Instagram to YouTube and Dropbox. And it’s used by students, researchers, startups, and big enterprises.
We will continue to see Python grow as a powerful platform for scientific computing. This growth will come in part from the ongoing development of Python’s language and its implementation and the emergence of new packages that expand the functionality available to Python programmers.
Let’s not start a language fight by declaring Python the winner. Instead, we need to understand that languages are constantly changing, and there is still room for discussion on what works best in the future. Trends may vary, but Python will continue to be successful for years to come.
If you’re learning Python development now, you’re in good company. The future of Python looks bright!
To wrap up things
Python has become one of the most in-demand programming languages for startups in a few short years. Many more established businesses are also using Python to develop innovative software and solve real-world problems.
Python is here to stay. And why wouldn’t it be? Python is an easy-to-learn language that can quickly allow you to build a website or web application from scratch.
The simplicity and flexibility of Python development make it ideal for beginners looking to get started with coding and seasoned programmers looking to expand their horizons by learning new skills.
No matter your skill level or goals, Python is likely a great fit if you’re thinking about building websites or applications on your own.
