Why Must a Professional Learn Python?

Why Must a Professional Learn Python?

Data Analytical languages or as they are popularly known, programming languages tend to be a little on the difficult side when it comes to learning them. Of all of them, it is believed that Python is one such language or tool, which is pretty easy to learn, especially when we compare it to the others. The syntax that this programming environment provides is not really that ceremonial and is quite easy to get a hang of. This helps all of those non-programmers work really efficiently in this software. When it comes to learning python or teaching it to someone, it is easier to do so with examples as opposed to teaching say Ruby or Perl mainly because of the lesser number of rules and special cases that Python has.

Many might have heard this name ‘Python’ for the very first time in the past couple of years. But what is interesting to know that this programming language has existed in the industry for the past 27 years, which is a lot more time. What then makes this tool so relevant in spite of being so old? It is the fact that Python can be pretty much applied to any and every software development or operations scenario that you can find in the world today. You can make use of python if you are looking to manage local and cloud infrastructure, or developing websites or have to work with SQL or even if you are looking for a custom function in order to make do with Pig or Hive, then Python applies there as well, this is a major reason as to why professionals especially those working in the analytical fields must learn python.

With python it is so easy that once you learn the language, you can very easily leverage the platform. It happens to be backed by PyPi which is pronounced as Pie Pie. Herein a user can make use of more than 85,000 modules as well as scripts. These modules are formulated in such a way that they are able to deliver pre-packaged functionality to any of the local python environments as well as solve a number of problems like the working of databases and the glitches therein, implementation of computer vision, and execution of advanced data analytics such as sentiment analysis or building of RESTful web services.

These days it has become quite a norm that any job you happen to be looking for, you will most probably be in need of having a skillset that is defined by big data and analytics which is why it becomes quite important for one to thoroughly understand the working of Python. As this data analytical tool happens to be a strong presence in the various areas of coding as well as data analytics it is sure to rule the roost in the near future. This is why we see a lot of professionals opting to learn Python from various professional training institutes like Imarticus Learning.

What is the Best Online Course Studying Python?

The inception of Python began in 1989 when its maker Guido van Rossum was irked by the weaknesses of ABC dialect (to be specific extensibility). Rossum began to take a shot at building up another programming language that incorporated every single great component of ABC dialect and new coveted elements, for example, extensibility and special case dealing with.

It is a programming language that is astoundingly simple to learn, and it can be utilized as a venturing stone into other programming dialects and structures. In case you’re an outright novice and this is your first time working with a coding language, that is something you unquestionably need.

Python is broadly utilized, including by various enormous organizations like Google, Pinterest, Instagram, Disney, Yahoo!, Nokia, IBM, and numerous others. The Raspberry Pi – which is a smaller than usual PC and DIY sweetheart’s fantasy – depends on Python as its fundamental programming dialect as well. You’re presumably asking why both of these things matter, and that is on account of once you learn Python, you’ll never have a deficiency of approaches to use the aptitude. Also, since a considerable measure of huge organizations depend on the dialect, you can take in substantial income as a Python engineer.

Different advantages of learning the Python language include:

1) Python can be utilized to create models, and rapidly on the grounds that it is so natural to work with and read.

2) Most computerization, information mining, and enormous information stages depend on Python. This is on account of it is the perfect dialect to work with for universally useful undertakings.

3) Python considers a more gainful coding condition than gigantic dialects like C# and Java. Experienced coders tend to remain more composed and beneficial when working with Python, also. Which is why you see a lot of data scientists opting for python certifications.

4) Python certification is anything but difficult to peruse, regardless of the possibility that you’re not a talented software engineer. Anybody can start working with python programming, all it takes is a touch of persistence and a considerable measure of practice. Additionally, this makes it a perfect possibility for use among multi-software engineer and substantial improvement groups.

5) Python powers Django, an entire and open source web application system. Structures – like Ruby on Rails – can be utilized to disentangle the advancement procedure.

6) It has a monstrous bolster base on account of the way that it is open source and group created. A huge number of similar designers work with the language every day and keep on improving centre usefulness. The most recent rendition of Python keeps on accepting upgrades and updates as time advances. This is an extraordinary approach to connect with different engineers.

When it comes to the best python online courses, there are very few institutes that you can actually go to. Imarticus Learning is one such institute which offers exceptionally industry endorsed Python programming courses online as well as offline. In addition to the python certification, these courses also help you put your best foot forward in terms of your career.

The Zen of Python

Dear Reader,

  • Beautiful is better than ugly.
  • Explicit is better than implicit.
  • Simple is better than complex.
  • Complex is better than complicated.
  • Flat is better than nested.
  • Sparse is better than dense.
  • Readability counts.
  • Special cases aren’t special enough to break the rules.
  • Although practicality beats purity.
  • Errors should never pass silently.
  • Unless explicitly silenced.
  • In the face of ambiguity, refuse the temptation to guess.
  • There should be one— and preferably only one —obvious way to do it.
  • Although that way may not be obvious at first unless you’re Dutch.
  • Now is better than never.
  • Although never is often better than right now.
  • If the implementation is hard to explain, it’s a bad idea.
  • If the implementation is easy to explain, it may be a good idea
  • Namespaces are one honking great idea — let’s do more of those!

Sound advice. You’d be forgiven to think this set of principles came from some dusty old philosophy manual. You’d be wrong. Believe it or not, this is an excerpt found on the FAQ page of the popular programming language, Python.

The Zen of Python is a collection of 20 software principles that influences the design of Python Programming Language. Long time Pythoneer Tim Peters succinctly channels the guiding principles for Python’s design into 20 aphorisms, only 19 of which have been written down. The 20th is left to your imagination.

The whole story behind Python is rather playful and whimsical.  Guido van Rossum, the Dutch founder of the language, gave Python its name because he was reading the published scripts from Monty Python Flying Circus!  Van Rossum was looking for a name that was short, unique, and mysterious, so he decided to call the language Python. Oh, and he developed the programming language during the Christmas holidays because he had nothing better to do.

Python is based on the English language – focused on simplicity. If C, C++ or Java would take 20 lines to implement something, Python takes around 3 – 4 lines to achieve the same thing. No weird symbols for simple code or variables, no need for semi colons, and code is always nicely spaced. Python enforces clean, structured programming techniques and borrows freely from other languages.  It doesn’t enforce a single model or approach to solving a problem (so Zen-like!).

No wonder Python is snaking it’s way into programmers hearts — It is currently the second most popular programming language globally, after Java, and used by the likes of NYSE and Google.

Imarticus Learning offers online python certification. This is 100%  Career Assistance program, our team provides a rigorous industry mentoring process that is customised to your needs. Additionally, the team conducts interview preparation sessions, resume building workshops, 1-1 mock interviews while also providing you access to our extensive corporate network and recruitment teams.

By Zenobia – Imarticus Team