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Python Data Science: A Comprehensive Guide to Python Programming for Self-Guided Learners
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Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
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- FormatePub
- ISBN8224701018
- EAN9798224701018
- Date de parution08/02/2024
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurDraft2Digital
Résumé
Are you eager to delve into the realm of data science?Do you aspire to master this skill through self-guided learning and envision yourself as an accomplished computer programmer? If you answered yes to any of these questions, you've discovered the perfect resource to propel you towards your goals!Designed as a comprehensive guide to shape you into a brilliant and adept computer programmer, "Python Data Science" offers reliable content to navigate the intricacies of data science and equip you with the necessary tools for excellence.
This book ensures not only a well-informed and knowledgeable outcome but also aims to make you an expert in the field. Key features of this book include:A concise introduction to data scienceClarification of the distinctions between data science and data analysisA brief overview and comprehension of the NumPy libraryFundamentals of PythonAnd much more!The book then progresses to cover essential topics such as data manipulation using pandas (panel data), effective visualization with matplotlib, an introduction to machine learning and its relevance to data science, along with additional knowledge to significantly enhance your expertise.
Embark on the journey of cultivating your skills and mastery in data science independently. Impressively accomplish this feat with the guidance provided in this exceptional book!
This book ensures not only a well-informed and knowledgeable outcome but also aims to make you an expert in the field. Key features of this book include:A concise introduction to data scienceClarification of the distinctions between data science and data analysisA brief overview and comprehension of the NumPy libraryFundamentals of PythonAnd much more!The book then progresses to cover essential topics such as data manipulation using pandas (panel data), effective visualization with matplotlib, an introduction to machine learning and its relevance to data science, along with additional knowledge to significantly enhance your expertise.
Embark on the journey of cultivating your skills and mastery in data science independently. Impressively accomplish this feat with the guidance provided in this exceptional book!
