PDF-(EBOOK)-Effective Pandas: Patterns for Data Manipulation (Treading on Python)

Best practices for manipulating data with Pandas This book will arm you with years of knowledge and experience that are condensed into an easy to follow format Rather than taking months reading blogs and websites and searching mailing lists and groups this book will teach you how to write good Pandas codeIt coversSeries manipulationCreating columnsSummary statisticsGrouping pivoting and crosstabulationTime series dataVisualizationChainingDebugging codeand more. Python for data analysis. Prakhar Amlathe. Utah State University. I. ntroduction to Pandas :. C. reated by Wes McKinney in 2008, now maintained by Jeff Reback and many others. . Powerful and productive Python data analysis and Management Library. It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You8217ll learn the latest versions of pandas, NumPy, IPython, and Jupiter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It8217s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the IPython shell and Jupiter notebook for exploratory computingLearn basic and advanced features in NumPy (Numerical Python)Get started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas group by facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples. Side-by-side code examples. . v 1.0. Prepared by Adam Ross Nelson JD PhD @. adamrossnelson. Additional Notes & Resources. Stata Python Notes & Additional Options. Recommended Stata Setup.