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Python for Data Analysis 9781491957660
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ISBN: 9781491957660
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. You\'ll learn the latest versions of pandas, NumPy, IPython, and Jupyter 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. It\'s 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 Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas grou
Dit artikel bestel je voordelig 2e hands op studystore.nlIn goede staat, snel in huis én gratis thuisbezorgd. Toelichting:De prijs in deze advertentie is gebaseerd op onze laagste 2e hands prijs (OP=OP).Zodra een 2e hands boek op is, kan het voorkomen dat je op Studystore het boek alleen nog nieuw kunt bestellen.
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. You\'ll learn the latest versions of pandas, NumPy, IPython, and Jupyter 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. It\'s 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 Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas grou
Dit artikel bestel je voordelig 2e hands op studystore.nlIn goede staat, snel in huis én gratis thuisbezorgd. Toelichting:De prijs in deze advertentie is gebaseerd op onze laagste 2e hands prijs (OP=OP).Zodra een 2e hands boek op is, kan het voorkomen dat je op Studystore het boek alleen nog nieuw kunt bestellen.