Pre-Owned Python Data Analytics: With Pandas, Numpy, and Matplotlib (Paperback) 1484295315 9781484295311
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Pre-Owned Python Data Analytics: With Pandas, Numpy, and Matplotlib (Paperback) 1484295315 9781484295311

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Key item features

  • Title: Python Data Analytics: With Pandas, Numpy, and Matplotlib
  • ISBN10: 1484295315
  • EAN: 9781484295311
  • Genre: COMPUTERS / Programming Languages / Python
  • Author: Nelli, Fabio
  • Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.

Specs

Publication date, September, 2023Author, Nelli, FabioBook format, PaperbackGenre, Computing & InternetPages, 445Age group, Adult

About this item

Product details

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.
This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation
Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data.
What You'll Learn
  • Understand the core concepts of data analysis and the Python ecosystem
  • Go in depth with pandas for reading, writing, and processing data
  • Use tools and techniques for data visualization and image analysis
  • Examine popular deep learning libraries Keras, Theano, TensorFlow, and PyTorch
Who This Book Is For

Experienced Python developers who need to learn about Pythonic tools for data analysis
  • Title: Python Data Analytics: With Pandas, Numpy, and Matplotlib
  • ISBN10: 1484295315
  • EAN: 9781484295311
  • Genre: COMPUTERS / Programming Languages / Python
  • Author: Nelli, Fabio
  • Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.
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What is Pre-Owned: Good?

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Pre-Owned: Good

A well-cared-for item that has seen limited use but remains in great condition. Item and instructions are complete and included.

What is the Walmart Pre-Owned Program?

Walmart Pre-Owned allows you to find previously owned, well-cared-for items from Walmart’s trusted & performance-managed sellers. Shopping Pre-Owned allows you to bring home the best-quality picks at even lower prices, in addition to extending the life of an item & reducing waste. Find your favorites & shop a range of conditions in every category.

See here for additional details & specific condition qualifications.

Why Walmart Pre-Owned?

Trusted sellers & quality items

Each Pre-Owned item listed comes from Walmart’s trusted performance-managed sellers, to ensure you get quality items.

Quality you can afford

Save even more on top brands & your most-loved items.

30-day free returns

Don’t love it? Most items offer a 30-day* free return policy, for added peace of mind.

Sustainability

Shopping Pre-Owned helps in extending the life of an item & reducing waste.

Product image for illustration purposes only. The item you receive may vary from the image in minor ways, such as slight differences in appearance, color, and/or design. *Exceptions apply during holiday season, and on certain electronics, collectibles, and jewelry.

Specifications

Publication date

September, 2023

Author

Nelli, Fabio

Book format

Paperback

Genre

Computing & Internet

Warranty

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