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Data Science in Python. Volume 3: Plots and Charts with Matplotlib, Data Analysis with Python and SQLite (English Edition) - de Alexander Stepanov (Author)
Details Data Science in Python. Volume 3: Plots and Charts with Matplotlib, Data Analysis with Python and SQLite (English Edition)
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| Le Titre Du Fichier | Data Science in Python. Volume 3: Plots and Charts with Matplotlib, Data Analysis with Python and SQLite (English Edition) |
| Date de Parution | |
| Traducteur | Josselyn Tadeas |
| Quantité de Pages | 199 Pages |
| Taille du fichier | 59.52 MB |
| Langue | Anglais et Français |
| Éditeur | Hogarth Press |
| ISBN-10 | 3463569904-TNY |
| Type de Livre | PDF EPub AMZ DOC UOF |
| Écrivain | Alexander Stepanov |
| EAN | 472-9784845898-ZON |
| Nom de Fichier | Data-Science-in-Python.-Volume-3-Plots-and-Charts-with-Matplotlib-Data-Analysis-with-Python-and-SQLite-(English-Edition).pdf |
Télécharger Data Science in Python. Volume 3: Plots and Charts with Matplotlib, Data Analysis with Python and SQLite (English Edition) Livre PDF Gratuit
As discussed Matplotlib facilitates various kinds of plot ranging from scatter plots to bar charts to histogram The selection is totally contextual and is made based on our data visualization requirements like group comparison comparing two quantitative variables to each other or to understand data distribution etc
This volume describes data visualization with Python and using SQL database for data analysis I assume you are familiar with Python 3 have scientific Python 3 distribution installed and know how to start IPython notebook that is used for all examples in this book
Data Science in Python Volume 3 Plots and Charts with Matplotlib Data Analysis with Python and SQLite English Edition Alexander Stepanov Format Kindle 299 € Suivant Description du produit Présentation de léditeur Python is the most popular programming language in scientific computing today This series is for people who want to start using Python 3 and its popular extension
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Matplotlib est probablement lun des packages Python les plus utilisés pour la représentation de graphiques en 2D Il fournit aussi bien un moyen rapide de visualiser des données grâce au langage Python que des illustrations de grande qualité dans divers formats