Is it necessary to learn Python from square one if your ultimate goal is to use it for data science? I have used R a lot for data science. But could I learn Python sufficiently well just by looking at other data science problems and their Pythonic approaches?
Topic python
Category Data Science
In data science, learning Python is worth the effort. Python is valuable just like any other programming language. Furthermore, becoming an expert in Python opens you to a plethora of job possibilities. Infocepts, which is also a data science company, has observed that Python can help execute any work to address technical challenges.
Many data scientists begin their Python education by completing Python language puzzles on the internet. They believe that before utilising Python to analyse the data, they must be proficient in basic programming. Many prospective data scientists start their Python education by enrolling in developer-oriented programming classes. Python is used by data scientists to get, clean, visualise, and create models, not to design application software. As a result, you must devote a huge amount of time to understanding Python functions and frameworks in order to complete these jobs.
Both Python and R are extensively used in the field of data science.Though both have their advantages and disadvantages, python has many libraries that are awesome to use for data science purpose. For example, scikit-learn, Keras, Theano, XGBoost, Matplotlib,etc. These make lives so easy for data science.
Yes, analyzing and understanding the code of others can give you a lit of information but you cannot learn until you don't get your hands dirty with some python code. In order to learn how to use python in data science, this link provides an excellent tutorial.
Python is a very intuitive language in terms of syntax. The language is designed keeping readability in mind thus is a very powerful and efficient language with a flat learning curve. R is a language with much stronger data analysis toolkit and support and a much steeper learning curve.
The pandas package in Python implements the R data frame and should be a good place to start.
Geeks Mental is a community that publishes articles and tutorials about Web, Android, Data Science, new techniques and Linux security.