Python 3 and Data Analytics Pocket Primer

Python 3 and Data Analytics Pocket Primer

By Oswald Campesato
Paperback $44.99

$44.99

Publication Date: 12th April 2021

No detailed description available for "Python 3 and Data Analytics Pocket Primer". Read More
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Description
No detailed description available for "Python 3 and Data Analytics Pocket Primer".
Details
  • Price: $44.99
  • Pages: 238
  • Publisher: De Gruyter
  • Imprint: Mercury Learning and Information
  • Series: Pocket Primer
  • Publication Date: 12th April 2021
  • ISBN: 9781683926542
  • Format: Paperback
  • BISACs:
    COMPUTERS / Programming Languages / Python
    COMPUTERS / Intelligence (AI) & Semantics
    COMPUTERS / Data Processing
    COMPUTERS / Programming / General
Author Bio
Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Table of Contents
1: Introduction to Python
2: Working with Data
3: Introduction to NumPy
4: Introduction to Pandas
5: Introduction to Probability and Statistics
6: Data Visualization
Appendix
Regular Expressions
Index
No detailed description available for "Python 3 and Data Analytics Pocket Primer".
  • Price: $44.99
  • Pages: 238
  • Publisher: De Gruyter
  • Imprint: Mercury Learning and Information
  • Series: Pocket Primer
  • Publication Date: 12th April 2021
  • ISBN: 9781683926542
  • Format: Paperback
  • BISACs:
    COMPUTERS / Programming Languages / Python
    COMPUTERS / Intelligence (AI) & Semantics
    COMPUTERS / Data Processing
    COMPUTERS / Programming / General
Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

1: Introduction to Python
2: Working with Data
3: Introduction to NumPy
4: Introduction to Pandas
5: Introduction to Probability and Statistics
6: Data Visualization
Appendix
Regular Expressions
Index