Thank You Raj. I have not recieved anything. I thought we did not have to open ticket ourselves and Ms. Sakshi is going to resolve the issue and get the materials to all of us. Anyway i opened a ticket today just in case.
That is awesome Suresh! I agree we can and should make better use of our class opportunites - we we get from class/teacher, but also from each other - random sharing and discussions.
Apparently I must have had a prior relationship with a site called codecademy.com - they had my email. I renewed my password and have a 7day trial to an excellent tutorial that has hands on coding (numpy matplotlib pandas) - all with in 20 minutes. That course is named 'Learning Statistics with Python'. Someone let me know if they try it. I am enjoying it, and scraping the code as I go.
Here is the first code example. They don't really explain where the data files come from, and used one proprietary libaray, but I believe the code will work asside from that. In the code sample below I am including the comments they say about the lib.
# Import packages
# codecademylib, which is a package that Codecademy uses to plot
# your histogram in the panel to the right. Don't worry about this
# library. Any Python development environment that you may use
# will take care of this for you.
import numpy as np
import pandas as pd
# Import matplotlib pyplot
from matplotlib import pyplot as plt
# Read in transactions data
mu, sigma = 800, 100 # mean and standard deviation
burrito_calories = np.random.normal(mu, sigma, 320)
# Save transaction times to a separate numpy array
plt.hist(burrito_calories, range=(250, 1250), bins=100, edgecolor='black')
plt.title("Calories in a Burrito Bowl", fontsize = 24)
Thanks you again !.
Thanks for sharing. I found a couple of free ones for statistics based on R but unable to upload here due to the size.
if the files are big, we can create a sub directory in the Googel drive that had been shared and we can post our materials in that.
Could you please let me know if you have access to all the relevant python codes so that we can continue the next session seamlessly
I have access to files posted in google drive 02Mar and 03Mar folders, total 6 files.