LinkedIn is out with its yearly Top Companies To Work For in Canada report. The yearly report analyzes billions of data points to find out companies that get the maximum attraction per job position in Canada, and then go the extra mile to stick with the talent once hired. Also included in the report are the top skills the companies that most people want to work for, are looking for.
What catches one’s eye is the increasing need of information technology and related skills – even in fields once considered peripheral to IT. Have a closer look at this list of best companies to work for in Canada and you’ll easily notice the IT skill on top of the mind of all these employers you’ll love to work for – Python.
From the list topper RBC and TD (the top 5 employers are all banks!), to the highest-ranking management consulting company on the list – Deloitte Canada, all list Python among the top-most skill they are recruiting for in 2019. What makes Python such a desirable skill in today’s context in Canada? The answer lies in its flexibility, ease of use and marketability – a number of global applications made use of by these organizations run on Python.
Here’s a basic introduction of this language, with an excerpt on how to highlight this skill on your resume to increase your chances of being picked up for a great opportunity.
What is Python?
An interpreted, high-level, general-purpose programming language that emphasizes code readability. Built on a community-based model, Python is developed under an OSI-approved open source licensing making it usable and distributable (read: marketable).
Use of Python in Finance
What makes Python programming language of choice for finance industry and banks? A big reason is the language’s inherent math syntax – which opens more space for flexibility in terms of calculations and other mathematical tasks which are the order of the day in the finance industry.
A number of banking software – especially for ATMs – are written in this language owing to its ability to integrate algorithms to allow faster processing of payments. Add to that the capacity of financial modelling – the Pandas package – a high-level library that turns Python into a powerful tool for data analysis. Developers find conducting statistical calculations on this language a breeze, making it a language of choice in FinTech industry.
Python is also the up-and-coming language of choice for cryptocurrency analysis – its use in the stock market allowing it to stand in good stead. Market trading has long been an industry making use of Python – and with it being machine-learning capable, running predictive analysis on Python is opening up a whole new world of opportunities for developers.
Why You Should Learn Python?
Whether you are experienced in programming, or just entering the world of coding, knowing which skills sell – and are the most sought-after right now – always helps. Classics like C++ are still very much in vogue – listed by at least 4 employers among the top 25 companies to work for in Canada. But C++ developers are a dime a dozen, and you are expected to be a champion in the language if you are to make a cut on the back of knowing only one language. Hence, knowing another language becomes a value-addition few can afford to let go. What better, then, to learn Python – an open source language that is seeing huge investment by top employers?
Not interested in finance, or FinTech? Take the case of GIS – Geographic information system. Python is the scripting language for almost all the big players in the GIS system application industry, such as QGIS and ArcGIS. Additionally, a lot of solution companies (there are a number of them in the LinkedIn list for 2019 as well), make use of this language for test automation and developing in-house application – further expanding your employability.
How much time will it take to learn Python?
Learning is a subjective exercise, and it greatly depends upon the style, scope, approach and expectations of an individual. Ideally, the popular conception is that this type-free language is pretty easy to learn, and should not take more than a couple months for a non-programmer to get acquainted with it. Programmers, and experienced candidates, may want to achieve an advanced level understanding of Python to make sure their resume has the goods to beat the competition.