Python is a widely used general-purpose, dynamic, extensible, high-level programming language. Its design philosophy emphasises code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C.
As Python is a general-purpose language, its applicability in real-world software development covers an enormous spectrum of uses- the array and influence of Python is far and wide, from coding in an embedded language, to test automation, to building complex environments, to GUI design and development, to basic scripting. The language provides constructs intended to enable clear programs on both a small and large scale. Python has fingerprints on countless modern-day technologies.
‘Python is a powerful, opinionated and idiosyncratic scripting language, loved (and hated) by programmers the world over for its style, syntax and attention to whitespace. It excels as a “glue” language for putting together applications quickly, and many Python developers feel more productive in Python than in other languages.’
–Martin Aspeli- CIO
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library. What this essentially means is that Python is an extremely versatile, efficient language, and while it can be difficult to learn, it is definitely a language worth exploring. With sophisticated coding languages, the last thing a programmer should do is dive into the deep end without first familiarising themselves with the fundamentals of the language. Python is an investment, in time and effort, as well as a programmer investing in themselves for the sake of improving their employment prospects.
‘Python can be used for any programming task, from GUI programming to web programming with everything else in between. It’s quite efficient, as much of its activity is done at the C level. Python is just a layer on top of C. There are libraries for everything you can think of: game programming and openGL, GUI interfaces, web frameworks, semantic web, scientific computing…’
If you wish to learn more about the capabilities and uses of Python, there are an abundance of open-source tutorials and resources available just a click away
The Python Tutorial
Tutorialspoint- Simple, easy learning of Python programming.
Code Academy- an Introduction to Python
Learn Python- an interactive Python tutorial
After Hours Programming- An overview of Python
A beginner’s Python tutorial
Learn Python the hard way
In a technological environment, language fluency is paramount. Not only does a coder’s language explain and influence the precise function the coder wants to achieve, as you can imagine, fluency in multiple languages immediately separates a good programmer from a great programmer.
Oftentimes, a coder’s language set will define who they are, and precisely what they do. While it’s not as strict as saying ‘You are what language you write in,’ particularly in terms of general-purpose languages, a coder’s vocabulary and language bank, so to speak. is strongly indicative of what they do. Naturally, any individual coder can boast fluency in multiple languages, but if they can’t deliver on the day, it’s just another hollow gesture to make a CV look better.
The key to language aptitude, as with everything else, is practice. With the pursuit of fluency in coding languages,
The learning environment emphasises the value of expanding your technological horizons, challenging yourself with the unfamiliar, and providing individuals with the tools and work ethic to improve their coding knowledge, all while up-skilling ambitious coders with the attributes that the market demands.