Python for data science
Enregistré dans:
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| Autres auteurs: | |
| Support: | E-Book |
| Langue: | Anglais |
| Publié: |
Hoboken, NJ :
John Wiley & Sons.
C 2019.
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| Édition: | 2e édition. |
| Collection: | For dummies (en ligne).
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| Sujets: | |
| Autres localisations: | Voir dans le Sudoc |
| Résumé: | The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s-and named after Monty Python-that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction. |
| Accès en ligne: | Accès à l'E-Book |
| Lien: | Collection principale:
For dummies (en ligne) Autre support: Python for data science / by John Paul Mueller and Luca Massaron |
| Résumé: | The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s-and named after Monty Python-that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction. |
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| Description: | Titre provenant de l'écran titre. Numérisation de l'édition de Hoboken : John Wiley & Sons, C 2019. La pagination de l'édition imprimée correspondante est de XVI-467 pages. |
| Bibliographie: | Index. |
| ISBN: | 9781119547648 |
| Accès: | L'accès à cette ressource est réservé aux usagers des établissements qui en ont fait l'acquisition L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement |