Programming languages have always come and gone. According to the latest TIOBE Programming Community Index, Python is considered as ‘Programming Language of the Year’ for 2018. The award is given to the programming language that has the highest rise in ratings in a year.
Python is general purpose and high level programming language, You can use Python for developing desktop GUI applications, web applications and websites. Python allows you to focus on core functionality of the application by taking care of common programming tasks.
As an experienced programmer, if you are looking to go into Data Science and Machine Learning, learning python makes sense because its’ quickly becoming the most used programming language used to build powerful APIs and libraries for AI and Data Science and Machine Learning.
1. Easy to Understand / Very Flexible
Python was designed to be easy to understand and fun to use ( name came from Monty Python ). Using Python you can build prototypes and tools quickly and with rich set of tools and library available in python, It has gained popularity for beginner-friendly language.
Python reads like English, which takes lots of syntax learning stress off coding beginners. Python handles a lots of complexity while building high end model for Machine Learning and AI. As a dynamic typed language, Python is really flexible. This means there is no hard rules on how to build features of tools.
Simple syntax rules of the programming language further makes it easier for you to keep the code base readable and easy to understand. There are many number of reasons why you should prefer Python over other languages. If you are planning to start your career in Python, now is the right time to dive in, when the technology is in its nascent state.
2. Rich Set of Libraries / Resources
One of the similarities between Python and Java is the sheer number of open source libraries, frameworks and modules available to do whatever you want to do. It makes application development really easy.
Just imagine creating Web application without Spring in Java or Django and Flask in Python. It makes your job simple as you only need to focus on business logic.
Python has lots of libraries for different needs. Django and Flask are two most popular for web development and NumPy and SciPy for Data Science.
Python is the Swiss Army Knife of programming languages.
Python has one of the best collection of machine learning and data science libraries like TensorFlow, Scikit-Learn, Keras, Pandas and many more. If you want to learn complete python from scratch you can go thorough Complete Python Bootcamp: Go from zero to hero in Python 3
As you step into the programming world, You will soon understand how vital support is, as the developer community is all about giving and receiving help. The larger a community, the more likely you’d get help and the more people will be building useful tools to ease the process of development.
You can see that Python has been growing rapidly in the last few years. Rising opportunities in Artificial Intelligence, Machine Learning and Data analysis are feeding to the popularity of Python.
4. Automation / Test Driven Development
When i first come to know about Python while I was working with one requirement where i wanted to scrap profiles from LinkedIn and store in database. i found that bit difficult using other languages but we can do web scrapping using Python very easy and it helped me to automate complete process.
Python can be used for complete automation to send emails or scrap websites and want to perform some analysis. You can use Python to create prototype of the software application rapidly. You can build the software application directly from the prototype simply by refactoring the Python code. You can easily write the required tests before writing code and use the tests to assess the application code continuously. These tests can also be used for checking if the application meets predefined requirements based on its source code.
If you want to learn more about Python automation, you can check Automate the Boring Stuff with Python website / book which is simply awesome.
5. Jobs and Salary Growth
Python is growing really fast and big time and it makes a lot of sense to learn a growing programming major programming language if you are just starting your programming career.
Python developers are one of the highest paid developers, particularly in the Data Science, Machine Learning and Web development.
On average Python developer’s salary ranging from 70,000 USD to 150,000 USD depending upon their experience, location and domain.
Thanks, You made it to the end of the article.. Good luck with your Python journey ! It’s certainly a great decision and pays you a lot in your near future. That’s all about some of 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.
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