Further to recent videos on Jupyter notebook, I have been doing some simple experimenting to get the feel of this.]
This reat for writing and data visualisation. As the following two example screenshots show. I have not fully written the code here, but I have made modifications. The table now shows total rows and columns after I did some research and figured out how to count columns.
Presenting data as a table, using Pandas
Presenting data in graphical form, using MatPlotLib
Not a week goes by without Facebook or rather its parent company Meta Being in the news. A recent article, raises yet more questions about what happens to our personal data once Facebook / Meta get hold of it.
The GDPR is very clear as to how data can be used, the fact Facebook appear unable to control what goes on, shows they are not fit for purpose. Companies or individuals that use Facebook could end up complicit in any data misuse.
The problem probably arises as YOU sign up to Facebook and therefore consent to them using your data, photos etc.
This is why CHOICE is important. I don't have a problem with education establishments using Facebook for student communication, I just won't use it. I do object to people assuming I use Facebook.
This looks like a really useful tutorial for anyone wanting to build their own GNU/Linux system from scratch. So this also ties in to this series as being able to build robust, secure systems is essential. A good way to do this is build your own.
During a recent conversation, with a member of a job seeking buddy group that I am a member of, we had a brief chat about the R programming language. This is designed and optimised to help with statistics, allows graphs to be produced from data and also integrates with other software such as LaTeX, Python and more.
Learning R is probably not difficult, the hardest part with learning something is finding the right resources to help. To this end I have found a collated a few links below.
The Links below could be useful generally if you are going to be running R on a GNU/Linux system then knowledge of the command line may be useful. I have also included a link to the study support forum.
Latest resource in the Data Detox kit from Tactical Tech is reverse image searching. This helps you identify the source of an image, which in turn helps you differentiate between accurate and misinformation.
These resources are well worth checking out. I am still planning on trying to do a talk on privacy at a future STEM group event.
Could be something to discuss at the STEM group meeting or via Discourse or on Mastodon.