Tag: pandas
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NumPy and pandas Past the Basics: Vectorisation, Merges, Reshaping and Memory (Data Science Series, Part 4)
Most pandas mistakes do not raise an error. They cost you memory, hours of runtime, and rows you did not know you gained. Here is what changed my day to day handling of the churn dataset.
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Plotting in Python with Matplotlib for Data Analysts (Data Analyst Series, Part 16)
Turn a pandas summary into a chart. Draw a bar, a line and a scatter with Matplotlib, label them, and save them to share, using the same sales data from Part 15.
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Pandas Essentials for Data Analysts: DataFrames, Filtering and Group By (Data Analyst Series, Part 15)
The Python library that reads a file too big for a spreadsheet and answers in a line. A beginner walkthrough of DataFrames, filtering, groupby and missing data in pandas 3.0.
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Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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