by Kim Desmond and Caden MacKenzie, CodingNomads
Everyone is talking about Python, and for good reason. With an exponentially growing community around data science, machine learning, AI, web dev and more, Python is a language that opens programming access to the world.
In the realm of server side software languages, Python is considered easy to read, write and learn. Plus, it’s extremely scalable. The world’s largest companies run on it, and it’s also great for quick and simple prototypes.
The list goes on for why we think it’s a good idea to learn Python programming, whether you’re new to coding or an experienced dev. Here are 6 major reasons why.
First, what is Python programming?
Python is a high-level programming language used for general-purpose software engineering. It’s a server side language – which means it runs on the server, and is responsible for processing the logic behind user inputs, interacting with databases and other servers, etc.
Initially developed in the late 1980’s by Guido Van Rossum, Python has been around for decades alongside other server side languages like Java and C. Van Rossum modeled Python after the English language, eliminating unnecessary syntax to make it easier to read and write than other programming languages.
Python is an open-sourced language like Java (our other fave programming language), and in recent years has increased in popularity due to its use in data science. Python also has a strong community around machine learning, data modeling, data analysis and artificial intelligence (AI), with extensive resources and libraries built for these purposes.
And yes, the rumors are true. Python is named after the British comedy group Monty Python.
Indeed if you decide to learn Python, you shall code with the strength of many men, Sir Knight.
RELATED: 7 Reasons to learn Java programming
So why should you learn Python?
1. Python is versatile
What is Python used for?
Just to name a few, Python is used in Data Mining, Data Science, AI, Machine Learning, Web Development, Web Frameworks, Embedded Systems, Graphic Design applications, Gaming, Network development, Product development, Rapid Application Development, Testing, Automation, the list goes on.
Python is used as an easier and more efficiently-written alternative to languages like C, R, and Java, and is growing in popularity as the primary language for many applications.
Python uses in data science
Historically, the R programming language is most commonly used for data science, with a rich ecosystem of libraries for statistical analysis. As Python code is considered easier to maintain and more scalable than R, Python has increased in popularity for data science – especially among professionals without advanced education in statistics or mathematical fields.
In the past few years, many packages have been developed for data analysis and machine learning using Python. This includes numpy and pandas, which allow users to understand and transform data; tensorflow, which is used to code machine learning algorithms; and pyspark, an API for working with Spark – a framework for easily working with large data sets.
These libraries enable your every day web developer to analyze large data trends, without having to learn the ins and outs of the more complex R.
Growth of Libraries written in Python
Image source: Stack Overflow
Python uses in other industries
Python – and programming in general – is in such high demand because it is not just the tech industry that needs it. Coding is being adopted by just about every industry. Python is used by companies in recruiting, healthcare, financial services, marketing, education and many more.
For example, ‘Growth Marketers’ are now basing their marketing decisions on the analysis done in Python. Businesses are turning away from Excel spreadsheets and towards Python-driven analysis.
Python.org lists various success stories from different industries and applications that use Python. The length of this list alone shows you how versatile Python uses are. One interesting story is of BATS, which aims to provide access to maps for the visually impaired. Another story is a workflow automation system for NASA which was written in Python by one person in less than a year.
Python Queries by Industry
Image source: Stack Overflow
What types of companies use Python?
Python is great for quick prototyping, hence is used extensively by startups to build their first minimum viable product (MVP). As a highly scalable language, Python is also used in large companies. In a recent blog post, Netflix discussed its uses of Python in everything from their Content Delivery Network (CDN) to their monitoring systems.
Google also loves Python programming for its solutions. Peter Norvig, director of research at Google, said that,
Python has been an important part of Google since the beginning, and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.
According to iDataLabs 69% of the companies that use Python are small (<$50M in revenue), 9% are medium-sized ($50M – $1000M in revenue) and 16% are large (>$1000M in revenue).
So how can you maximize the number of industries that would be open to hiring you? Choose a language that is used across the board. Whether you want to work for Google building their next worldwide application or for Pixar to help produce their next feature film, Python opens the doors to any industry.
Image source: CodingNomads
2. Python is the fastest growing programming language
Given Python’s uses across many industries and applications, it’s no wonder Python is the fastest growing programming language.
According to Codecademy, 2018 saw a 34% increase in users studying Python. Stackoverflow.com also determined Python to be the fastest growing major programming language by analyzing the number of visitors vs. questions about a certain topic.
Growth of Python Queries in Stack Overflow
Image source: Stack Overflow
Record growth of Python queries online
The TIOBE Index is an indicator of a programming language’s popularity based on quantity of search queries across 25 search engines. Currently, Python is #3 in the TIOBE Index, preceded only by Java and C.
Because of its surge in popularity, TIOBE named Python the Language of the Year in 2018, 2010 and 2007. In June 2019 Python’s rating jumped by 2.77%, once again reaching an all time high in the TIOBE index. If it continues at this pace, TIOBE predicts Python will overtake Java and C in just 3-4 years’ time.
TIOBE Index Most Popular Programming Languages – June 2019
Image source: TIOBE
3. Python tops the list of the most in-demand programming languages
Going hand-in-hand with lightning speed growth, Python programming is in high demand for jobs. Based on the number of job postings on one of the largest job search platforms, Indeed.com, we compiled the top ten in-demand programming languages of 2019.
While these statistics only reflect US Markets, Python is in demand worldwide. However, only 9% of coding bootcamps teach Python or Java. We are proud to be one of the fearless few that teach these badass, in-demand programming languages!
It’s also worth noting that this graph does not include SQL, since it is a database query language and not a programming language. SQL boasts 102,416 job listings on Indeed.com, showing that it is one of the most useful skills for a software developer to have. With our curriculum teaching both Python and SQL, our goal is to ensure you have the skills required to succeed in today’s demanding job market.
4. Python is easy to read, write, and learn
Python was built with the goal of getting rid of the complex and keeping only the necessary. Because of this, Python is easy to read, write, and most importantly, learn
WP Engine surveyed 909 developers across the US on which programming language is the easiest to learn. Python came in second place after HTML, and was noted for its “high readability and simple syntax that is easy to learn.” The article also states that, “for new coders especially, the consistency and simplicity of Python both contribute to its ease of use and approachability.”
It can be discouraging for new programmers to sift through all the necessary syntax of other languages before they can perform their first simple task. With Python, your first “Hello World!” application is only a line away, unlike the 4 or 5 lines needed for other programming languages. Python’s efficient syntax allows programmers to get up and running fast, and pack logic into compact scripts.
Python is also an interpreted programming language. This means that unlike compiled languages like C++ or Java, you can run each line of code as soon as you finish writing it and see the results immediately. This is especially great for new programmers because you can get instantaneous feedback instead of waiting for the whole program to compile and run before you figure out that you forgot one character somewhere!
So it’s no wonder that Python is the most loved programming language
Given Python’s popularity for its ease of reading and writing, it’s no wonder that it was named Hackerrank’s most loved programming language.Python even remained the leader across all age groups, despite the tendency for younger generations to prefer different languages than older generations of programmers.
Nowadays, professional software engineers make up only a fraction of the total population of coders. People of all ages and careers are showing interest in programming because of its usefulness across many industries and professions, combined with the accessibility of learning tools. Especially for hobby coders, or professionals who simply need an easier way to automate tasks or analyze data, Python is the most beloved choice.
Most Loved Programming Languages of 2018
Image source: Hackerrank’s Love-Hate Index
5. Python developers make great money
Python developers are some of the highest paid developers in the market, particularly in data science, machine learning and web development.
On average, a Python developer earns $110,021 per year in the US. Additionally, the average salaries from 2017 to 2019 show that Python is consistently the second highest paying language.
Image source: Daxx.com
Indeed’s salary calculator gives an even larger figure—a whopping $123,642 per year. It’s not exactly surprising to see Python rank so highly, given that it ranks second among the most in-demand programming language in 2019.
PayScale.com’s statistics on Python show us why Python developers are so highly paid. A programmer with Python skills could work in many different areas – from a software developer to a data scientist, all of which are paid extremely well.
Image source: Payscale.com
6. Python has an incredibly supportive community
While programming is often misinterpreted as a solo-sport, one of the greatest tools a programmer will ever have is the support of their community. Thanks to online forums, local meet-ups, and the open source community, programmers continue to learn from and build on the success of their predecessors.
Stack Overflow is a programming question and answer platform critical for all developers when they are stuck, or wanting to share wisdom with the community. According to Stack Overflow’s annual software developer survey, Python is the most wanted programming language, and tagged in 1,188,566 questions. This demonstrates an incredibly robust and active community for current and aspiring Python developers.
Stack Overflow’s 2019 Most Wanted Programming Languages
Image source: Stack Overflow
GitHub is where developers store project code and collaborate with other developers. With over 1M repositories on GitHub and over 59K users committing or creating issues in these repositories, Python is one of the largest developer communities on GitHub today.
Open source packages
Python offers a rich ecosystem of packages held within The Python Package Index (PyPI). With Python, users can build modules for the ever-growing PyPi library. Users of this giant third party package library can find tools to help them with projects ranging from AI to web development and more.
The creator of Python, Mr. Van Rossum says that, “Python has become the language of choice for AI researchers, who have produced numerous packages for it.” Popular Python packages include astrophy, numpy, pandas, scipy, statsmodels, django and more.
Reusing, recycling and improving other programmers’ code is fundamental to being a successful programmer, which is why Python’s robust programming communities help make it a solid programming language to learn.
Interested to learn Python?
We teach Python bootcamps online and in fun international travel destinations, and we’re proud to be one of the most affordable and high quality Python courses available. Get in touch with us if you’re interested to learn more.