Hands-on tutorials for Python, Pandas and related Data Science topics with some demo apps.
Coding, Data Science and Technology
If you are a budding Data Scientist or Data Journalist, being able to visualize your data gives you the ability to better understand it.
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Do you wish that Python could emulate the superb visualizations that ggplot gives you in the R language? Well it can.
Plotnine is a powerful graphics library for great visualizations and based on
With Julia and the free VSCode IDE, you can make impressive data visualizations with little programming knowledge.
Jupyter Notebooks are a great and fairly simple way to explore data and create visualizations in an interactive environment.
Sentiment Analysis is used in marketing to judge how well a product, service or brand is seen by
its customers. We look here at how to analyse the sentiment of tweets using the VADER Python library
The official Twitter statistics are great to see how well you are engaging with your audience but you can use Python to see how are others doing, too.
Use Python and Pandas to discover, read and analyse data from CSV, Excel spreadsheets on the web