Why Programmers Should Learn Python in 2020?

If you are thinking of learning Python but not sure why you should do that, then here are 10 reasons which highlight the benefits of learning Python in 2020.

For beginners, it’s simple, start with Python because it is easy to learn and powerful enough to build a web application and automate the boring stuff. Python has an array of frameworks for developing websites. The popular frameworks are Django, Flask, and Pylons etc. Since these frameworks are written in Python, it’s the core reason which makes the code a lot faster and stable.

• • Free & open source
  • High-level
  • Interpreted
  • Blessed with large community

Similarly, for an experienced programmer who is looking to go into Data Science and Machine learning, learning Python makes sense because it’s quickly becoming the most used programming language, and there are powerful APIs and libraries available for AI, Data Science, and Machine learning.

Data Science
This is the single, most significant reason why many programmers are learning Python in 2020. I know many of my friends who are bored with their Java programming jobs in Investment banks are learning Python on Udemy to make a career in Data Science due to exciting work and high pay.

Machine Learning
This is another reason why programmers are learning Python in 2020. The growth of machine learning is phenomenal in the last couple of years, and it’s rapidly changing everything around us. Algorithms become sophisticated day by day; the best example is Google, which can now answer what you are expecting.

Python is quite popular and in demand
Python is very popular in current times and also the fastest growing language. Moreover, it was ranked the first in top programming languages by IEEE Spectrum 2018. Because of its popularity and multiple uses, Python developers are quite highly paid, especially in Machine learning, Web development and Data science.

Python has many libraries and frameworks
Python has many libraries and frameworks for various different purposes. For example, Django is used for web development, PyBrain is used for data science, Tensorflow is used for machine learning, etc. This ensures that the process of application development is very easy and smooth as the libraries and frameworks can be used according to requirements.

Artificial Intelligence

AI is the next huge development in the tech world. You can actually make a machine mimic the human brain which has the power to think, analyze and make decisions.
Furthermore, libraries such as Keras and TensorFlow bring machine learning functionality into the mix. It gives the ability to learn without being explicitly programmed.

Big Data

Python handles a lot of hassles of data. It supports parallel computing where you can use Python for Hadoop as well. In Python, you have a library called “Pydoop” and you can write a MapReduce program in Python and process data present in the HDFS cluster.
There are other libraries such as ‘Dask‘ and ‘Pyspark‘ for big data processing. Therefore, Python is widely used for Big Data where you can easily process it!