1.Question 1What is the Python library used for scientific computing and is a basis for Pandas?1 pointNumpyTkinterdatetimeRequests2.Question 2What attribute is used to retrieve the number of elements in an array?1 pointa.sizea.ndima.shapea.dtype3.Question 3How would you change the first element to "10" in this array c:array([100,1,2,3,0])?1 pointc[2]=10c[1]=10c[0]=10c[4]=104.Question 4What attribute is used to return the number of dimensions in an array?1 pointa.dtypea.shapea.ndima.size

Question 2What attribute is used to retrieve the number of elements in an array?1 pointa.sizea.ndima.shapea.dtype

What description best describes the library Pandas?1 pointA highly efficient array processing library capable of quickly performing mathematical transformation functions on single or multi-dimensional arrays.Includes functions for creating various plots that can be used to create different visualizations for the dataset.Offers data structure and tools for effective data manipulation and analysis. It provides fast access to structured data:Includes functions for some advanced math problems and scientific processes.

1.Question 1What python object do you cast to a dataframe?1 pointsettuple dictionary2.Question 2How would you access the first-row and first column in the dataframe df?1 pointdf.ix[0,0]df.ix[0,1]df.ix[1,0]3.Question 3What is the proper way to load a CSV file using pandas?1 pointpandas.from_csv(‘data.csv’)pandas.load_csv(‘data.csv’)pandas.read_csv(‘data.csv’)pandas.import_csv(‘data.csv’)

Which of the following attributes would you use to get a DataFrame as a numpy array?

Question 2Which deep learning library in Python is used for experimentation?1 pointPandasPyTorchNumPySeaborn