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Python Tools for Data Scientists Pocket Primer

  
Volume in the series:Pocket Primer
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Frontmatter
Contents
Preface
Chapter 1: Introduction to Python
Chapter 2: Introduction to NumPy
Chapter 3: Introduction to Pandas
Chapter 4: Working with Sklearn and Scipy
Chapter 5: Data Cleaning Tasks
Chapter 6: Data Visualization
Appendix A: Working with Data
Appendix B: Working with awk
Index
Frontmatter
Contents
Preface
Chapter 1: Introduction to Python
Chapter 2: Introduction to NumPy
Chapter 3: Introduction to Pandas
Chapter 4: Working with Sklearn and Scipy
Chapter 5: Data Cleaning Tasks
Chapter 6: Data Visualization
Appendix A: Working with Data
Appendix B: Working with awk
Index
Publié:
nov. 2022
Langue:
Anglais
Pages:
300
Paperback
ISBN: 978-1-68392-823-2
Publié:
déc. 2022
PDF
ISBN: 978-1-68392-822-5
Publié:
nov. 2022
E-Pub
ISBN: 978-1-68392-821-8
Publié:
nov. 2022

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