Hot Skill 2023: Why you should learn Python this year

When it comes to learning a new skill, we are faced with a handful of options and are spoiled for choice. The demands are correspondingly high. It should be easy to learn, highly valued, lead to quick results that should help us personally and our careers. If one skill meets all these requirements, then it is the Python programming language. Only something for IT people, you think? Far from it, we say, and we have 7 reasons to convince you.

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More than a year ago, the Corona pandemic not only turned the entire world of work upside down in a rush, but also took it to the next level of digital development. The New Work is here, setting new standards for employees and their skills. This is also evident in 2023. The digital transformation is picking up speed and posing new challenges for employers and employees alike.

To keep up with this development, it is worthwhile even for high performers to jump on the bandwagon and expand their own portfolio with important key competencies such as Python. Yes, the old adage is true: We never stop learning. But in this day and age, with more learning options and offerings hitting the market every day, it's especially important to invest your own scarce time in the right skills.

As a result of the rapid digital transformation, new, important qualifications have emerged that will pay off for those willing to learn in the long term. Technical skills in particular are urgently needed by companies to defend their own market share alongside big tech giants like Google, Amazon and Co. Among all possible qualifications, one particular skill has gone from promising to indispensable in recent years: the Python programming language.

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Stop! Before you shut down and think that Python as a programming language is only worthwhile for IT people and tech nerds, this article will convince you otherwise. Because far from it! Many companies are just beginning to tap into the true possibilities of Big Data and Artificial Intelligence, and executives are actively looking for employees who are able to support this transformation through technical skills.

Python, especially in the past five years, has outgrown its underdog image and become a champion among tech skills. If you're looking to develop your skills this year and are looking for a skill that will advance your career and secure it for the long term, then this is the ideal time to upskill with Python.

We have summarized seven reasons why Python should be your focus in 2021 and show you why Python skills are not only useful, but also fun to learn.

Not just for snake charmers: Why it's worth learning Python in 2023

If the word Python makes you think of shiny scales rather than program code, let us give you some context. Python is a programming language used for developing software. As a server-side language, it is the logic and foundation behind user input and database interaction with the server.

Python is open-source, free, and can be used and modified by anyone, which is why its use is especially popular in data science. Last but not least, Python thrives on its community, a dedicated community around artificial intelligence, machine learning, data analysis and modeling, with extensive resources and over 137,000 libraries such as TensorFlow, Scikit-learn and Keras.

As a data analyst, you use programming languages like Python to analyze large amounts of complex data and derive relevant information from it. So is it worth learning Python? Absolutely! According to the Stack Overflow Developer Survey ranked Python as the third most popular technology of the year in 2020. It is considered one of the hottest skills and the most popular programming language in the world according to the PYPL Programming language popularity index. We've summarized 7 reasons why 2023 is the year you should learn Python, too.

1. hard to beat for versatility

Python is a true all-rounder among hard skills! A key advantage of Python is that it can be used in a wide variety of subject areas. The most common areas where Python is used include:

  • Data Analytics & Data Science
  • Mathematics
  • Web development
  • Finance and trade
  • Automation and artificial intelligence
  • Game development

2. pays off several times

For those who want a new skill to be doubly rewarding, Python is the way to go. Python developers have been among the highest paid in the industry for years. And Data Scientists, for whose job Python is essential, are also way ahead in the global salary race. Demand for Python developers is high - and growing. And the skill is becoming increasingly valuable to other departments as well. If you know Python, you won't have to look far for a good job. Among the top 10 most sought-after programming skills employers are looking for, Python ranks 7th, so job market prospects are excellent.

3. quick successes even for newcomers

2016 was the scintillating year when Python replaced Java as the most popular language at US universities, and since then the programming language has been especially popular among beginners. In the last few years, Python has been able to expand its pole position more and more. And with good reason: Python is easy to learn and enables its users to create their own web applications or automate simple workflows. In addition, Python comes with a tidy and easy-to-read syntax, which makes it particularly beginner-friendly. When you start programming, you don't want to start with a complicated language with all kinds of strange exceptions. With Python you make it easy for yourself and are still effective. A double win for you.

4. ideal for time-saving foxes

With Python programming you can expect not only quick learning successes, but also your work will be more effective and thus faster. Unlike other programming languages, development with Python requires less code and therefore less time. For all fans of efficiency, Python is made for you. And it offers another big time bonus. Unpleasant, repetitive tasks can be automated using Python. Anyone who has spent hours renaming files or updating hundreds of table rows knows how tedious such tasks can be. All the better that these tasks could be done by your computer from now on.

5. beyond the IT horizon

Whether in marketing, sales, or business development, Python has long since ventured out of its pure IT corner and into other areas of the company. Because these departments also face a number of challenges that Python can help with: Reporting, content optimization, A/B testing, customer segmentation, automated campaigns, feedback analysis, and more. With Python, you can gain insights from available data, make better-informed, data-driven decisions, automate many routine activities, and increase the ROI of your campaigns. Interested?

6. programming for big players

Have you always wanted to work for a tech giant like Google or Facebook? Then Python could be your golden ticket, because many large and especially tech-savvy companies like YouTube, IBM, Dropbox, or Instagram use Python for a variety of purposes and are always looking for up-and-coming talent. Dropbox uses Python for almost their entire code foundation, including analytics, server and API backends, and the desktop client. If you want to add a big name to your resume, Python should be on the same sheet.

7. a must-have for data professionals

Python's application in data science and data engineering in particular is driving its popularity to unprecedented heights. But what makes Python so important for data science and machine learning? For a long time, R was considered the best language in this specialty, but Python offers numerous advantages. Libraries and frameworks like PyBrain, NumPy, and PyMySQL for AI are a major selling point. In addition, scripts can be created to automate simple processes. This makes the daily work of data professionals particularly efficient.

What Python has to do with weightlessness and potatoes - A StackFuel alumna writes about her funny experiences with the programming language

For those who don't immediately think of creativity and humor when they think of the job of a data analyst, we would like to introduce our graduate Madalena Wagenaar. Madalena is from Berlin and originally comes from the field of geotechnology. In 2021, she decided to take a new career leap and started her further education as a Data Analyst at StackFuel. The content, especially Python, not only excited Madalena on a professional level, but also prompted her to write the following entertaining guest post.

Python - is the name of the programming language based on the snake species? No.

When Guido van Rossum sat on the development of this project as a pastime during the Christmas holidays in 1989, he wanted to give the new programming language a simple and catchy name. Since he was at the same time broadcasting the British comedy show Monty Python's Flying Circus looked, settled on the name. However, the programming language, whose name is based on the comedic artist group of the 20th century, is not only known for its humor.

Their name origin is now known to almost everyone who has ever dealt with Python. But there are some little amusements, which are less known. Here I would like to present you five such fun facts:

  1. Tim Peters, who himself contributed a lot to the development of Python, wrote a poem about the philosophy of Python. Execute the command "import this" and you can read the poem "Zen of Python" itself, which at the same time summarizes the guiding principles of the programming language. Whoever reads the poem will not only smile, but if you stick to them, you will also become a better programmer.
  2. Small anecdotes are sometimes included in places where you least expect them, such as in error messages. Python does not work with so-called Braces, to delimit code. Indentation is mandatory in Python. If you try to use braces from the __future__ package you will get an error message that will surely make you smile. "No chance", will tell you the program that knows how to defend itself against this change.
  3. I always thought I would never be able to program. It's way too complex for me. However, after I started (almost forced) and made the first progress and successes, I felt as elated as "import antigravity" describes it. Maybe you will feel the same way when the comic opens in front of you.
  4. To delve a little deeper into the subject: Unlike other programming languages, when you write a loop, Python allows you to return after a if-condition also has a else-option. How convenient is that? Because this option allows you not to have to think through and determine every eventuality yourself. So whenever the if-condition doesn't work, the program executes the else-option. This will make a lot of things easier for you.
  5. And finally: Everyone knows small, funny Internet games. Usually they are written in the programming language C or C++. But do you know one that is completely written in Python? Check it out Super Potato Bruh and help the potato to save itself and its vegetable friends from a fate as a soup ingredient. If programming itself isn't fun enough for you, you'll get your money's worth with this game at the latest.
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Even before I discovered the many hidden Easter Eggs in Python, I was interested in the programming language, especially in terms of its data processing capabilities. With my background in geotechnology, I could use the programming language to process satellite or drone data towards land use, for example, as well as for other fields. Thanks to Python and my newly learned programming skills, I not only had a lot to laugh about, I can now handle large amounts of data with ease.

Congratulations to Madalena on her graduation from our continuing education program Data Analyst - Focus Python. Could we inspire you? Then check out our Python course and our further training courses for the Data Analyst and Data Scientist an. No matter if you are a programming novice or a data nerd. Find your new skills in our Training portfolio. Exciting online courses for full-time professionals and fast-trackers in Python, data, and artificial intelligence await you here.


Stack Overflow: "2020 Developer Survey" [11.06.2021]

Github: "PYPL PopularitY of Programming Language" [11.06.2021]

Louisa is a native of Berlin and a Junior Data Scientist at StackFuel. She studied biochemistry in her hometown and bioinformatics in nearby Potsdam. After graduating, she worked in medical research, where she was specifically tasked with analyzing medical data to study cancer prognosis in children. Evaluating the vast amounts of data was very valuable to Louisa and she fondly remembers the feeling when she was able to extract relevant, actionable information from the data. Louisa wants to bring this valuable skill and her enjoyment of data analysis to learners at StackFuel and make it fun to experience.

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