There you go, the first checkpoint is completed: I have officially submitted the completed version of “Advanced Data Science and Analytics with Python”. The book has been some time in the making (and in the[…]
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Tag: Python
Natural Language Processing – Talk
Last October I had the great opportunity to come and give a talk at the Facultad de Ciencias Políticas, UAEM, México. The main audience were students of the qualitative analysis methods course, but there were[…]
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Adding new conda environment kernel to Jupyter and nteract
I know there are a ton of posts out there covering this very topic. I am writing this post more for my out benefit, so that I have a reliable place to check the commands[…]
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Data Science and Analytics with Python – Social Network Analysis
Using the time wisely during the Bank Holiday weekend. As my dad would say, “resting while making bricks”… Currently reviewing/editing/correcting Chapter 3 of “Advanced Data Science and Analytics with Python”. Yes, that is volume 2[…]
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Social Network Analysis and Star Wars
On my way back to London and making the most of the time in the train to work on my Data Science and Analytics Vol 2 book. Working with #StarWars data to explain Social Network[…]
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Python – Pendulum
Working with dates and times in programming can be a painful test at times. In Python, there are some excellent libraries that help with all the pain, and recently I became aware of Pendulum. It[…]
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Building things with Python
Building things with Python
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CoreML – iOS Implementation for the Boston Model (part 3) – Button
CoreML – iOS Implementation for the Boston Model (part 3) – Button
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JupyterLab is Ready for Users
JupyterLab is Ready for Users
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nteract – a great Notebook experience
I am a supporter of using Jupyter Notebooks for data exploration and code prototyping. It is a great way to start writing code and immediately get interactive feedback. Not only can you document your code[…]
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