I’ll be honest with you, my love of Python didn’t really develop until a few years ago. It took a long career of painful lessons to appreciate everything this language and platform have to offer. My goal with this short post is to save you the same pain, and convince you why Python is something you need to know.
Python is easy to learn
Well, at least it’s “easier” when compared to many of the other programming languages available to you. There isn’t a lot of ceremony to Python’s syntax, which makes it readable even when you’re not a Python expert. My experience is that learning and teaching Python through examples is easier than approaching, say, Ruby or Perl the same way, since the syntax of Python has far fewer rules and special cases. The focus isn’t on language intricacies, it’s on what you want to accomplish with your code.
Python is a versatile language and platform
Python will be 27 years old in 2016. Even though that’s older than many of my readers, it remains highly relevant because it can be applied to pretty much any software development or operations scenario you can find today. Managing local or cloud infrastructure? Python applies. Developing websites? Yep, it applies there too. Need to work against a SQL database? It does that. Need a custom function for Hive or Pig? Covered. Just building a small tool for yourself? Python’s simplicity makes it a great choice. Need a language that supports the rigor of object-oriented design? Python’s features make it relevant here, too. In short, investing a little effort into learning Python will give you skills that apply across a wide range of job roles.
Python has one of the most mature package libraries around
Once you know the language, you can leverage the platform. Python is backed by PyPI (pronounced Pie-Pie and perusable online here), which is a repository of more than 85,000 Python modules and scripts you can use immediately. These modules deliver prepackaged functionality to your local Python environment and solve problems as diverse as working with databases, implementing computer vision, executing advanced data analytics such as sentiment analysis, or building RESTful web services.
Python is a commonly-used language in data science
Whatever job you’re reaching for, data will be a part of it. IT Ops, software development, marketing, etc … they’re all drowning in data and thirsting for wisdom. Soon data analytics skills will be as necessary as coding skills, and Python has a strong presence in both areas. Next to the language R, Python is the most used language in modern data science; in fact, Python job postings outnumber R postings in the data science arena. The skills you develop learning Python will transfer directly to building these analytics skills.
Python is cross-platform and Open Source
Python’s been running cross-platform and developed as Open Source for more than 20 years. If you need code that works on Linux, Windows, and MacOS, Python provides. Moreover, it’s backed by decades of bug-squashing and kink-straightening to ensure that your code works as intended wherever you run it.
Why you should know Python
There aren’t a lot of languages that can offer the versatility and simplicity of Python; there are even fewer that can do so alongside decades of thought, effort and community that has gone into Python. Whether you’re new to code or a script-spewing guru, Python is something you need to know. For more information, check out this comprehensive guide on getting started with Python.
Python is straightforward and versatile. Learn to program in Python with this skill path.
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