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Workshop: sharpen your problem-solving skills – python app – *bring your laptop*
February 20 @ 6:00 pm - 8:00 pm
6:00 – 6:30 pm: Getting started and setting up your environment
6:30 – 7:00 pm: Understanding and solving the problem computationally
7:00 pm onwards: Networking
Find gaps in our understanding and knowledge and sharpen your problem-solving skills to find answers. This workshop is about making a python app that finds the REAL internet speed by peering worldwide servers. We will also discuss data-space job type definitions https://workera.ai/candidates/report/?utm_source=newsletter&utm_medium=email&utm_campaign=WorkeraExclusiveJanuary082020.
We will create a new environment and install dependencies then spend time understanding the problem and the code. If time allows we will package the application as an executable and discuss marketing it. I will also mention some interesting changes and additions to #pandas release v1: https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.0.0.html
If you would like to participate please bring your laptop with the following software:
1. If you don’t have anaconda installed you can use Miniconda instead from here: https://docs.conda.io/en/latest/miniconda.html
2. Download/clone github repository from here: https://github.com/cibic89/py_speed_test/archive/master.zip and extract somewhere
3. Create a virtual environment. Start anaconda prompt and browse to the extracted location. Run:
“pip install virtualenv”
“python -m venv .venv” or “python3 -m venv .venv”
Start a new terminal and type:
“.venv/Scripts/activate” then “conda deactivate” (the prompt should preceded only by (“.venv”).
4. Now simply install software dependencies with:
“pip install -r requirements.txt” and we are good to go!
George started as a computational scientist in 2012 and worked at Loughborough University, Nottingham University then moved to a data scientist position at Keele University in 2013 transforming non-computational operations into solvable computational problems using data science methods and techniques. George then moved to a senior data scientist position in 2017 at Liaison Group specialising in financial consultation and HR analytics. George was streamlining and augmenting Liaison’s business processes for the company’s NHS clients. Currently, George works with businesses as a freelancer on AI and cognitive computing transformations and is the Chief of Data Science for Quantar.
We will be providing pizza and drinks which are kindly provided by our sponsor, RP Analytics.
*Please don’t forget to RSVP so we have an idea about the numbers attending*
See you all at University of Nottingham,
Data Science Nottingham team