citation: Mihir Kedia, and Aseem Kishore. 6.189 A Gentle Introduction to Programming Using Python. January IAP 2008. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.
HW1: Pure Python Dear students, Please click on this link that leads you to Kaggle.com https://www.kaggle.com/learn/python You need to follow theses steps as your homework: 1- Sign up to the website. 2- Subscribe to the course "Python". There would be 7 free modules to complete and earn your degree. 3- You need to do up to module 5 for your First homework. Good Luck
HW2: Learning NumPy Dear students, Please click on this link that leads you to datacamp.com https://app.datacamp.com/learn/courses/intro-to-python-for-data-science You need to follow theses steps as your homework: 1- Sign up to the website. 2- Subscribe to the course "Introduction to Python". The course takes 4 hours to complete but don't worry if took more. It is normal. 3- You need to be done with all the modules for your 2nd homework. Good Luck
HW3:Learning Pandas Dear students, Please click on this link that leads you to datacamp.com https://app.datacamp.com/learn/courses/intermediate-python You need to follow theses steps as your homework: 1- Sign in to your account on the website. 2- Subscribe to the course "Intermediate Python". The course takes 4 hours to complete but don't worry if took more. It is normal. 3- You need to be done with all the modules for your 3rd homework. Good Luck
HW4: Learning SciPy Dear students, Please click on this link that leads you to datacamp.com https://app.datacamp.com/learn/courses/cluster-analysis-in-python You need to follow theses steps as your homework: 1- Sign in to your account on the website. 2- Subscribe to the course "Cluster Analysis in Python". The course takes 4 hours to complete but don't worry if took more. It is normal. 3- You need to be done with all the modules for your 4th homework. Good Luck
Useful Links: Check out this link. Here are some good resources for python learners: https://www.kaggle.com/getting-started/115421 Checkout this documentation: https://pandas.pydata.org/docs/ Checkout this documentation: https://numpy.org/doc/stable/user/whatisnumpy.html