Python for Data Science

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  • what are different programming languages used in D.S(data science)
  • why we should learn Python for D.S
  • how to learn Python for D.S
  • where to learn Python for D.S
  • is Python compulsory for D.S?
  • Python v/s R
"Hello world" this is Python Basics with another new post about python for data science, in this post we are going to see the following points.

What are different programming languages used in D.S(data science)
  • Python
  • JavaScript
  • Scala
  • R
  • SQL
  • Julia


Why we should learn Python for D.S

before we find out how to learn Python for Data Science, let's first know why we should select Python as a data science programming language.

in other words, understanding Python is one of the top valuable skills needed for a data science or data analyst's career.

Is Python is easy to learn? I would say yes and also no, why? because when we compare Python with other programming languages it is easy to learn but still we have to invest a lot of time and hard work to learn it. but comparing to other programming languages I would prefer Python any time.


How to learn python for D.S


  • Learn just the basics of Python (w3schools is the best website to learn Python )
  • Learn Python Data Science Libraries
    • NumPy
    • Pandas
    • Matplotlib
    • scikit-learn
    • Seaborn
  • Visualize data using Matplotlib
  • Basic Statistics with Python 
  • Practice Mini Python Projects





Where to learn python for D.S

            There are lot of places to learn Python language, but if we are looking to learn it for Data Science or data analyst, it will be best to choose somewhere that teaches Python for Data Science specifically. because Python is also used in a different of other programming like game development to mobile apps.

            So, if you try to learn only Python , you may be learning few other things which aren’t relevant to data science.



Is Python compulsory for D.S?

            No, it’s not compulsory to learn Python for Data Science we can also use R, which is dominates in some industries, but Python is more popular than other programming languages where each have their own strengths and weaknesses.

            For doing Data Science work, we need to learn at least one programming language. It doesn't have to be only Python, but it has to be one of either Python or R.





Python v/s R

            R was good with statistics and mathematics, and there are so many packages that make it easy to work in Data Science and it also has good or best supporting community online.
    
            Python can do the same tasks as R. Python codes are much easy to maintain than R. before in the past Python didn't have many data analysts or Data Science and machine learning libraries. But Recently, Python has provided cutting-edge API for machine learning or Artificial Intelligence tools. Most of the Data Science jobs can be done with five Python libraries: NumPy, Pandas, SciPy, Scikit-learn, and Seaborn.





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