My research as a PhD student at the University of Lund, Sweden focuses in analysing data recorded by the ALICE experiment at CERN. From distributions constructed with real data, I apply statistical methods to study the phenomena from proton-proton and heavy-ion collisions and try to connect our observations with the underlying physics mechanisms. However I am also interested in applying my skills as an experimental physicist to investigate phenomena outside of academia, such as, the evolution of coronavirus disease 2019 (COVID-19) pandemic or to the industrial and finantial sectors. Having said that the purpose of the Jupyter notebook is to study the number of cases of COVID-19 in the USA. Such data is hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, Baltimore, MD, USA and can be found in the GitHub repository. Moreover, CSSE hosts an online interactive dashboard to visualise and track reported cases of COVID-19 in real time. More details can be found in the link.
The purpose of this GitHub repository is to host the required files to run a Jupyter notebook. You will find the file environment.yml, which sets the enviroment needed to run the Jupyter notebook
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Install miniconda3.
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Download the files from this repository and unzip
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In the terminal, navigate to the folder you downloaded from GitHub
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Install the
Project_Omarenvironment by running the follwing lines
conda env create -f environment.yml
conda activate Project_Omar
- Run the notebook by typing
jupyter notebook
python=3needed to interpet python codenotebookrequired to run the notebooknumpylibrary for python that handles numerical/scientific calculationspandasused for data manipulation. It offers data structures and operations for manipulating numerical tablesmatplotlibused for plottingpipused to install and manage additional software packages