Python 3 and Data Analytics Pocket Primer
Pocket Primer Series Read Description

Python 3 and Data Analytics Pocket Primer

Oswald Campesato
Paperback
March 2021
9781683926542
More details
  • Publisher
    Mercury Learning and Information
  • Published
    29th March 2021
  • ISBN 9781683926542
  • Language English
  • Pages 238 pp.
  • Size 6" x 9"
  •    Request Exam Copy
$39.95
Add to Cart
E-Book

E-books are now distributed via RedShelf or VitalSource

You will choose the vendor in the cart as part of the check out process. These vendors offer a more seamless way to access the ebook, and add some great new features including text-to-voice. You own your ebook for life, it is simply hosted on the vendors website, working much like Kindle and Nook. Click here to see more detailed information on this process.

March 2021
9781683926528
More details
  • Publisher
    Mercury Learning and Information
  • Published
    19th March 2021
  • ISBN 9781683926528
  • Language English
  • Pages 238 pp.
  • Size 6" x 9"
  •    Request E-Exam Copy
$39.95
Add to Cart
Lib E-Book

Library E-Books

We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.

These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a "patron-driven demand" model.

March 2021
9781683926535
More details
  • Publisher
    Mercury Learning and Information
  • Published
    19th March 2021
  • ISBN 9781683926535
  • Language English
  • Pages 238 pp.
  • Size 6" x 9"
$129.95

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at info@merclearning.com.

FEATURES:

  • Includes a concise introduction to Python 3
  • Provides a thorough introduction to data and data cleaning
  • Covers NumPy and Pandas
  • Introduces statistical concepts and data visualization (Matplotlib/Seaborn)
  • Features an appendix on regular expressions
  • Includes companion files with source code and figures

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

Oswald Campesato

Oswald Campesato specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over forty books including Python 3 Data Visualization Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).

Computer Science; Data Analytics; Programming; Python; NumPy; Pandas; Matplotlib; Seaborn