Python Packages for Data Science

Hi there, Please could you help me with both tasks below (Compulsory Task 1 & 2).

* Please note the HINT about using flatten in comp task 1

* For comp Task 2 i included the CSV file to read from (credit.csv)

Thank you in advance :)

Comp Task 2:

credit.csv

low these steps: - Create a new program named compTask1.py and add comments and code to answers to the following questions: Why doesn't np.array ((1,0,),(,1,),(,0,1, dtype=float) create a two dimensional array? Write it the correct way. (Help here) What is the difference between a=np.array([,,]) and a= np.array([[,,]])? A 3 by 4 by 4 is created with arr =np.linspace (1,48, 48). reshape ( 3,4,4). Index or slice this array to obtain the following (help here, here and here): - 20.0 - [9. 10. 11. 12.] [[33.34.35.36].[37.38.39.40].[41.42.43.44].[45.46.47.48]. [[5.6],.[21.22.][37.38.]] [[36.35].[40.39].[44.43].[48.47]. [[13.9.5.1].[29.25.21.17].[45.41.37.33]. - [[7. 4.] [45. 48.]] [[25. 26. 27. 28.], [29.30. 31. 32.], [33. 34. 35. 36.], [37. 38. 39. 40.]] Hint: use flatten (help here) and reshape. - Create a new program named compTask2.py that will: Read in the file credit.csv in pandas and name the DataFrame as credit. - Print the first 10 rows of the DataFrame. Print the Age and Education columns of the DataFrames. Select users who are above the age of 30