9 Reasons why you should Learn Python

Python is an important programming language that all developers should know. Many programmers use this language to make websites, produce learning algorithms, and perform different necessary tasks. The best way to learn Python begins with deciding what you want to build. Then you will want to find a course or resources to help you develop your idea. When learning Python, it is very important to start with an idea. If you try to create something that interests you, the process becomes more intense. Learn Python in just 9 simple steps with the Simpliv program.

1. Python is easy

Easy to learn, has a simple, even intuitive syntax (putting it simply: a way of writing the commands understood by a computer with a given programming language.) The syntax resembles the elements “from real life“ so the keywords are intelligible for every beginner, and at the same time, really close to these appearing in other programming languages (that’s why a switch to another language later is easier.)

When we specify the things to do, we often use a colon (“:“), and intersections — just like we give commands in Python blocks of code. By the way, it somehow forces us to build the good habits of making intersections. It makes our Python code look nice, legible, and clear.

First programme displaying “Hello World“

Java:

public class Main {
  public static void main(String[] args) {
    System.out.println("hello world");
  }
}

Python:

print("hello world")

I leave it for individual judgement 😉 If you’ve installed Python already, check import this in a console, everything that inspires to code in Python in 19 lines.

2. Figure Out What Motivates You to Learn Python

Before you start learning Python, you have to ask yourself why you want to learn it. This is because the trip will be long and sometimes painful. Without sufficient motivation, you probably will not succeed. For example, I slept during high school and university when I had to remember the syntax and was not motivated. On the other hand, I stayed awake at night when I used Python to create an automated authoring site.

When you discover what motivates you, you will find a final goal and a path that will take you there without trouble. You do not have to define a specific project, but simply a general area that interests you when preparing Python.

Select an area that interests you, for example:

  • Data Science / Machine Learning
  • Mobile apps
  • Web sites
  • Games
  • Hardware / sensors / robots
  • Scripts to automate your work

Discover one or two areas that interest you and you are ready to stick to it. They will align their learning with them and eventually build projects.

3. Python is fast

Nope, I don’t mean to compare Python’s speed to other programming languages. There will be moaning that there are faster ones, for sure. Python is fast compared to interpeted languages but it’s not important for the beginner.

You can learn Python fast, and it’s available off-the-shelf.

You install Python, and you can immediately start writing your code. You run a console, write python, and you’re already welcomed with an encouraging sign “>>>“ — Write something, try me, come on! No need to read about choosing a programme, an environment, a compiler versions.

You don’t want to install Python but want to try your hand at a console? Go ahead: Python shell online or repl.it.

 


This GIF is here not accidentally. Mr. Robot is an excellent TV series about hackers, and there’s a big portion of IT world involved in it. It wasn’t directed with a lick and promise like most of productions of this kind. We can trace quite a lot of cybersecurity devices here. There’s a scene where a code in Python is quickly written straight in a console or fuxsocy.py file that Darlyn uses.

Creating penetration tests in Java — OK but how would hacking in a real life look like? There’s a scene in Mr. Robot: FBI cruises the corridors: Wait a sec, I’ll just compile this.

4. Python is productive

Working with the Big Data (collecting it, analysis, processing, usage) is the future. The more data you have to process, the more important is the management of used resources, and code’s effectiveness.

Python makes generators accessible, both as the expressions, and the functions. The generators enable iterative data processing — the element after the element. It doesn’t sound too attractive until you notice that “ordinary“ iterative data processing requires a list. A list takes up the memory. A really big list takes up a lot of memory. The generators allow to gather the data from a source one element at a time, and their transfer via a whole data processing chain, skipping a mechanism related to the storage of iterative list.

Even if working with the Big Data sounds like an abstraction for you for the time being, think of all these given consents to data processing, marketing, academic work or even the politics (e.g. Donald Trump won the elections thanks to Big Data.)

5. Professional skills

There are many languages for educational purposes such as Scratch or Logo. Surely, they can help you with learning the logics of programming, some of them gets to the schools, and it’s a good trend. However, no matter how advanced is the stuff you do with them, nobody will take it seriously (unless you’re a teacher, and you want to introduce programming lessons to your students.)

So reach for Python! It’s really approachable, and will immediately give you a concrete professional asset — programming.

After all, you don’t want to develop your skills with Python? Chill, you’ll easily “get lower“ to C, jump to Ruby (its syntax is really similar) or move towards front-end, straight into JavaScript arms. Python integration with other languages? No problem. Additional solutions? Sure, there are many options. Jython (Python implemented in Java) works everywhere where Java does. IronPython is a Python implemented in .Net.

6. Remuneration


Let’s talk about money. It’s not an interview so let’s put it bluntly — the main reason people change their field is a wish to earn more, and the sums in IT world may impress.

Python is second on a list of well-paid languages in USA. We analyse an average annual wage, the fact that Python is an easy language to learn, and things become clear.
Despite the fact that these statistics doesn’t correspond with Polish trends, Python programmers can’t complain about their earnings. I see a bright future for them, especially because the trends usually come to us “from the West.“

7. Possibilities

As I said, you can make use of Python in every way. It’s high time for examples.

Arduino or Raspberry Pi

In both cases you can code in Python. A lot of fun, immense possibilities. DIY projects are easily accessible on YouTube, and really rewarding.

Cybersecurity

Ethical hacking, penetration tests, security systems analysis, software development — these might be your tasks as a Security Specialist

Internet of Things

Actually, you can make the gadgets for your house on your own or work in this field profesionally.

Marketing

Collecting information about the users and its analysis with your own data or Facebook API,  Google, Twitter, better ads targetting.

Science

Data processing on mathematical and statistical level, working with results of laboratory experiments in the field of genomics, chemistry, geoinformation, etc.

QA

Software testing, automated testing, debugging, everywhere where you can — out of laziness — write the code that would carry out the code the tests for a tester.

Statistics

As far as Data Scientist positions are concerned, Python is one of the most often required languages.

Machine learning, AI

The fields that involve processing of a huge amount of data. Python is the future of machine learning, they say.

Web development

More effective backend than popular PHP, and the frameworks that make you do your work faster, e.g. Django or Flask.

Many, many more could come to our mind. Even in a field of games which isn’t, at least at first, associated with Python, one can find a suitable position (gameplay programmer).

8. Python III The Mighty


Because Python is easy, you cannot do with it more? By no means! It’s application really varies. Python has the power so the companies such as Google, Dropbox, Spotify or Netflix use it in their applications.

Dropbox

Dropbox is completely written in Python , and it ensures its compatibility with every operation system. It has around 400 millions of users. For many of them, it’s one of the first applications they install on their computers. Not only a desktop application but also Dropbox server side code is written in Python.

Google

Google uses a huge amount of technologies: C++, Python, and Go among them. Supposedly, someone said in Google office: Python where we can, C++ when we have to.

 

Spotify and Netflix

Similarly to Google, Spotify and Netflix employ different languages. In Spotify, it’s mainly Java but Python is used for things like their Web API, data analysis which is not only related to users (DNS server’s recovery system, payment system, content management system.) Netflix uses a mix of Java, Scala and Python, simultaneously giving their programmers the autonomy of choosing the language that is most proper where a given problen occurs. Where we can find Python there? In analytical groups, and real-time event service.

Where else Python is used?

Facebook, Instagram, Yahoo, Quora, Pinterest, Disqus.

9. Materials and community

 

 

You’ll easily find a lot of learning materials, mainly in English. Python documentation is rich, and really coherently written. The books doesn’t become outdated as quickly as in the case of web technologies.

The beginners like support, and Python community is active, also in Poland (numerous events, Facebook groups such as Python Poland, Python: Pierwsze kroki, Python szukam pracy, and also my group, Python: nauka). There’s also a strong female community: PyLadies, PyCode Carrots, Django Girls.

Useful Resources to Learn Python

If you decide to learn Python in 2019 then here are some of the useful Python books, courses, and tutorials to start your journey in the beautiful world of Python.

Learn Python GUI with Tkinter: The Complete Guide

Python 1200: Practice for BEGINNERS

Learn Python from Basic to Advance with Projects in a day

Python For Beginners With Exercises

Python Programming Tutorials For Beginners

Learn Python in a Day

Learn Programming with Python in 100 Steps

Python for Beginners: A Python Mega Course with 10 Projects

Learn Python Programming – Easy as Pie

Spark for Data Science with Python

Machine Learning, NLP & Python-Cut to the Chase

Image Processing Applications on Raspberry Pi – From Scratch

Python for Beginners 2017

Selenium with Python

Guide to Python Programming Language

Python GUI Programming Projects using Tkinter and Python 3

Complete Python Course Go from zero to hero in Python

The Python 3 New Features from Python Enhancement Proposal

Learn Python Programming

Selenium WebDriver With Python 3.x – Novice To Ninja

Learn Python 3 from scratch to become a developer in demand

Learn Python Django – A Hands-On Course

Python Programming & Data Handling

Python for Beginners

Create Your Calculator: Learn Python Programming Basics Fast

The Complete Python Training for 2019: Work on 10 Projects

Fundamentals of Python for Data Mining

Python for Data Science, Data Analysis & Visualization: 2019

Python For Beginners In Arabic تعلم لغة البايثون

Curso Completo De Machine Learning: Data Science en Python

Complete Python Beginners Bootcamp: Python Deluxe Edition

Python Acelerado

Python Pro – Python Basics for Machine Learning

GUI Automation using Python| Python Automation

Data Structures and Algorithms in Python

Machine Learning Basics: Classification models in Python

Python Automation for Everyone – Learn Python 3

COMPLETE Python Bootcamp 2019

NEW Python 3.7 Mastery course [FAST TRACK] – Programming language

Build Full Download Manager | Python & PyQt5

Learn Python 3 Programming in සිංහල

Python Programming for Absolute Beginners: Quickly learn python

Building Movies Site With Python & Django – IMDB Clone

That’s all for this article on the important reasons to learn Python in 2019. As I said, it’s important to know programming and coding in today’s world and if you don’t know coding you are missing something and Python is a great way to start learning to code.

For programmers who already know Java or C++, learning Python not only will make you a polyglot programmer but also gives you a powerful tool in your arsenal to write scripts, create a web application, and open the door to the exciting fields of data science and machine learning.

In short, if you could learn just one programming language in 2019 then make it to Python and to start with, The Complete Python MasterClass is the best course.

Summary

So these are my 9 reasons why it’s worth learning Python. Surely, there are more. What are yours?

 

 

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s