2. Python Is Widely Used in Data Science
Python’s application in data science and data engineering is what’s really fuelling its popularity today. Pandas, NumPy, SciPy, and other tools combined with the ability to prototype quickly and then “glue” systems together enable data engineers to maintain high efficiency when using Python.
Justin McGrath, a researcher at the University of Illinois, Champaign-Urbana agrees:
“Python is probably going to become the de facto standard for scientific and statistical analyses. If you’re going into those fields, it’s certainly worth learning.”
3. Python Pays Well
It’s all well and good, but what about the pay, I hear you ask? It turns out Python engineers have some of the highest salaries in the industry, at least in the US.
Indeed’s salary calculator gives an even larger figure—a whopping $116,000 per year. Of course, tech salaries differ greatly from one state to another. So to add some context here’s a breakdown of how much Python engineers make in the states featured on Indeed
4. Demand for Python Developers Is High (And Growing)
Based on Indeed’s job trends, it looks like having Python under your belt can help you land a job in very short terms. The graph below displays a steady growth in the number of job postings featuring Python since 2012, and there has been a strong spike in popularity over the last six months.
5. Python Saves Time
I’m pretty sure that the majority of the developers who’ve used Python would agree that making anything with this language takes a lot less time and code than most other technologies.Even the classic “Hello, world” program illustrates this point: