Python for Data Science

 

1.       What is python? List its features.

2.       What is the difference between a list and a tuple

3.       How string interpolation performed?

4.       What is the difference between “==” & “IS”

5.       What is a decorator?

6.       Describe Range function

7.       Compare the list and table.

8.       What is the dictionary? Explain with Example

9.       Explain the role of python in data science.

10.   Explain working at the command line

11.   Explain how the map function works

12.   Explain how the filter function works

13.   How to implement machine learning using scikit-learn?

14.   How to link data science with big data

15.   What is Jupyter Console?

16.   Define an adjacency matrix. Explain with example

17.   Explain finding missing data in python

18.   What is Pandas? Explain

19.   How to restart the Kernel?

20.   Explain different use of real data in python

21.   How to represent time on Axes?

22.   Define histogram. Write code for creating a histogram.

23.   What is pie chart and bar chart? Explain how their charts are used for visualizing the data

24.   Define axis, ticks and grids?

25.   Define the graph. What are methods used for visualizing information?

26.   What is hash function?

27.   What is memory profiler?

28.   Explain classes used in scikit-learn

29.   What is data wrangling? Explain the process of Data wrangling.