I love coding, but I have always stuck to R as my master language because I felt so comfortable with it. Although I did learn python during the lockdown of 2020 and upload projects using it to my Github last year, I have tended not to use it that much and I really did need a refresher in it. Whilst more people sign up to coursera or udemy, I have found the courses are freecodecamp to be quite solid in their teaching, Therefore, I have began the Data analysis for Python certificate.
Alongside this, I am refreshing my basic GCSE maths, therefore I thought it was be quite cool to code python alongside this. Today I have uploaded the first of my jupyter notebooks (there are more to come!)
The following link is the one to the github repo containing the first notebook.
I’ll be uploading more in the coming weeks, so I hope to finish this certificate by the end of the year!
In 2018 I attended the introduction to data science course run by NCAS (National Centre for Atmospheric Science) at their Leeds facility. This course introduced me to python, jupyter notebook, the cf-python and cf-plot packages. I successfully completed the courses and I have now uploaded an example of work onto my github.
During the course I learnt basic commands in the Linux environment and worked with the cf-python and cf-plot packages
An example of these plots include displaying mean air temperature for the winter period between 1960 and 1969.
Another example plot which I produced using cf-python and cf-plot includes the stereographic projection of the north wind taken from the ncas training dataset.
My jupyter notebooks containing these and other exercises can be accessed from my github repo here.