How to Cover Python essential for Data Science in 5 Days ?


People love python for data science . Obviously Python is wide variety for data structure and inbuilt low complexity algorithms . Not only these but there are so many factors which make python as Most popular data science language . Now today lets understand How to cover Python essential for Data Science in 5 Days ? Obviously you may only finish any language essentials if you have some other programming language experience  . All you need to learn the syntax . Otherwise who has never done any programming , He can not finish the basics in 5 days completely . So please make your expectation accordingly .

Python essential for Data Science in 5 Days –

Lets break the target topic to finish every day. Let’s create day wise plan . It will help you to cover the topic more strategically-

Day 1 on Python essentials –

You should finish –

  1. Variable and their type casting in Python  .
  2. Python operators.
  3. Conditional Statements in Pythons.

Day 2 on Python essentials-

In the second day, Please cover this topic –

  1. Python in built data structure
  2. loops and iterations over the inbuilt data structure .
  3. Functions for Python

Day 3 on Python essentials-

Please read the cover the below topics at third day –

  1. OOPs implementation in Python Language
  2. Python Lambda

Day 4 on Python essentials-

Your food for fourth day will be –

  1.  Exceptional handling in python
  2. Python modules

Day 5 on Python essentials-

At the fifth day, You need to finish-

  1. Regex in Python
  2. Date time in Python
  3. JSON in python

Note -Apart from these concept and plans , you should also consider the below tips-

  1. Practice output questions on the above topics .These will help in clearing more concept on this area . For the output set you may use GeeksforGeeks .
  2. It is good to go with best practices in python programming .We should never compromise with quality hence investing the time over this area will add lot of values .
  3. Learn IDE shortcuts .This will save your lot of time while development .See , There is am amazing facts that we only use only 20 percent core functionality of any software products . There may be lot of sub feature which can increase our working performance but we ignore them . There could be some shortcuts for code refactoring but we ignore them and we do that manually which becomes time consuming .

Source to read –

I know you may be thinking , What are the best resources to learn and finish python language essentials . Here is the list of few of them –


Conclusion –

The aim of this article is to cover the fast track learning path of python for those who are preparing for data scientist job . This is how I organized my learning contents and create the strategy . You may alter it on best of your convenience .  But you may not skip any of the topics and you should maintain the order as well .Now at least I will request you to write back your experience of this strategy . Please let us know if you have any recommendation on How to cover Python essential for Data Science in 5 Days ?


Data Science Learner Team 


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Meet Abhishek ( Chief Editor) , a data scientist with major expertise in NLP and Text Analytics. He has worked on various projects involving text data and have been able to achieve great results. He is currently manages, where he and his team share knowledge and help others learn more about data science.
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