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Pandas for Everyone. Python Data Analysis by Daniel Y. Chen.pdf
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Pandas for Everyone. Python Data Analysis
• Setting up your Python and Pandas environment
• Getting started with Pandas dataframes
• Using dataframes to calculate and perform basic statistical tasks
• Plotting in Matplotlib
• Cleaning data, reshaping dataframes, handling missing values, working with dates, and more
• Building basic data analytics models
• Applying machine learning techniques: both supervised and unsupervised
• Creating reproducible documents using literate programming techniques
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Pandas for Everyone. Python Data Analysis
• Setting up your Python and Pandas environment
• Getting started with Pandas dataframes
• Using dataframes to calculate and perform basic statistical tasks
• Plotting in Matplotlib
• Cleaning data, reshaping dataframes, handling missing values, working with dates, and more
• Building basic data analytics models
• Applying machine learning techniques: both supervised and unsupervised
• Creating reproducible documents using literate programming techniques

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Pandas for Everyone. Python Data Analysis• Setting up your Python and Pandas environment• Getting started with Pandas dataframes• Using dataframes to calculate and perform basic statistical tasks• Plotting in Matplotlib• Cleaning data

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