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How Learning to Code Python Can Land You Any Job

how learning to code python can land you any job

Bradley Kingsley
Published 2 years ago.
3 minute read
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Over the last few years, Python has established itself as a market leader in the tech industry. This growth has primarily been thanks to the boon that machine learning, data science and artificial intelligence have encouraged. It has grown so fast and its reach gotten so wide that there is barely a niche that it cannot cover today. From the front end to the back end where it's used to create advanced APIs thanks to the number of features it comes built with, Python is the language to learn if you want to enjoy the safety of always having jobs that need you to fill.

Python for front-end jobs

Python has been used to code for the web since as long as the internet has existed. Front-end development is divided into the rather simplistic HTML and CSS, which simply give the page order and style it to look pretty. More complex interactions are done using JavaScript.

JavaScript itself is a pretty complex language with a decent set of features. As compared to Python, though, it's API is woefully lacking. JavaScript can be a pain to learn and even more cumbersome to use. Consider the following perfectly valid Javascript code:

let array1 = [1,2,3];
let array2 = [1,2,3];

console.log(array1===array2) //false

Basically, we're creating the same array twice and attempting to use Javascript's odd approach to equality to see if it's the same array, and Javascript tells us it's not. It makes perfect sense once you understand that the two arrays are on different memory blocks, and Javascript is 'strict' by default, but still...

Such behaviour, and Python's own amazing API is what has necessitated the existence of transpilers.

A transpiler essentially allow you to write Python code (or many other languages, really. Including Java!) and have it changed to Javascript through a process developers often refer to as 'automagic.'

Python for the backend

Python also comes equipped with a heavy feature set that allows you to create development and production servers that can be deployed online. Essentially, a webserver is usually created to host an API. An API can simply be thought of as the middleman between the front-end and back-end features such as the database, analytics server by exposing various endpoints.

Python is especially advantageous for this since it can be used as a prototyping tool. Because Python is so easy to learn and basically everything has been done for you, when you need a quick and dirty API or server set up, a scripting language like Python (basically meaning it doesn't need to be compiled) is the tool for the job.It is an easy language to pick up and code in, as compared to more dated languages like Java. Getting a server up and running will be pretty easy if you simply want to showcase an idea rather than create a full working implementation of the project. This can later be optimized or transferred to a different language.

Python for hardware

Another area that makes Python such an interesting language to learn is that it can be used to program hardware. Normally, this is a task meant for more low-level languages like C or C++.

This is because high-level languages like Java are bloated and will require a lot more configuration to get up and running. A high-level language is basically one that has a lot of the things you normally need to do yourself, especially memory management, done for you out of the box.

Don't expect this to be something you pick up at a basic Python training course, because despite how cool it is (it might be the beginning of your foray into the field of robotics!), it's also pretty difficult.

Projects such as Micropython and CircuitPython have been set up to enable a user to interact with GPIO pins on a Raspberry Pi, for example. However, do note that these still act as wrappers for later compiling to C before being run. Python by itself lacks the required features for implementing such programs alone.

Python For Data science

If you're better off in research and working with numbers rather than building programs to run on the front-end, back-end or hardware, Python still has you covered. In fact, no other language is used close to as much as Python in the general science community. This is because Python comes with a lot of data science libraries and tools that are nearly impossible to find in any other language.

Of course, data science also includes machine learning and developing artificial intelligence tools. These run both on the server or can be compiled to low level languages like C to run on machines like autonomous vehicles or CNC machines.

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