How to filter a DataFrame: Focus on specific data
In the past few posts, we’ve discussed how to read your data into pandas, and then manipulate it via calculations. […]
Mid-Career Tech
Mid-Career Tech
If you’re Gen X or Gen Y in tech, it’s a rough ride. Mid-career tech professionals of the 2020s have weathered two storms: data science and generative AI. In the spirit of continuous learning, I’m sharing how I’m navigating and evolving in this increasingly challenging space. Join me!
Mid-Career Tech
Loops and list comprehension concepts
My intention is to help you understand every line of code posted. As such, I need to explain the concepts
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Working with date and time in Pandas
When looking at business data, time is always an important factor. From the start, you will focus on pulling your
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Write your own functions: customize your metrics
If you use Excel heavily, you will have used their functions at some point. In short, a function is a
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Rename columns in your DataFrame
Humans and computers like their text set up in different ways. For humans, you want familiar terms with capital letters
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Explore data in your DataFrame
Your Jupyter notebook has read the data from your files and / or SQL queries. Therefore, you now have a
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Run Jupyter notebooks in minimal time
You need to re-run a report your colleague has created in a notebook. Or perhaps, you want to pass a
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Read and write files with Jupyter Notebooks
Now that you’ve set up your Jupyter notebook, you can start getting data into it. To this purpose, this post
Mid-Career Tech
Jupyter notebook setup basics
When you set up Python on your computer for the first time, you also need software to write and run