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Python Tools for Data Scientists Pocket Primer
Python Tools for Data Scientists Pocket Primer

Python Tools for Data Scientists Pocket Primer: A Quick Guide to Essential Python Libraries for Data Science

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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€31.99
eBook Aug 2024 323 pages 1st Edition
eBook
€31.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
€31.99
eBook Aug 2024 323 pages 1st Edition
eBook
€31.99
eBook
€31.99

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Key benefits

  • Comprehensive guide to Python data science libraries
  • Practical hands-on exercises
  • Includes sections on data cleaning and visualization

Description

This book, part of the best-selling Pocket Primer series, offers a comprehensive introduction to essential Python tools for data scientists. It begins with an overview of Python basics, followed by in-depth coverage of NumPy and Pandas, focusing on their features and applications. The text also addresses the critical tasks of writing regular expressions and performing data cleaning. Further sections delve into data visualization techniques and the use of Sklearn and SciPy, providing practical knowledge and skills for handling complex data analysis tasks. This structured approach ensures that readers gain a complete understanding of the tools and techniques necessary for effective data science. Designed to be accessible yet thorough, this book includes numerous code samples to reinforce learning. Companion files with source code are available for download, making it an invaluable resource for anyone looking to master Python for data science and enhance their data analysis capabilities.

Who is this book for?

Ideal for individuals who have a basic understanding of Python and want to delve into data science. Suitable for beginners, intermediate learners, and professionals looking to enhance their skills in Python libraries. Prior programming knowledge is beneficial.

What you will learn

  • Install and use Python libraries effectively
  • Handle data cleaning tasks with ease
  • Perform data analysis with Pandas
  • Create visualizations using Matplotlib and Seaborn
  • Conduct statistical analysis with Sklearn
  • Utilize Google Colaboratory for Python projects

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 12, 2024
Length: 323 pages
Edition : 1st
Language : English
ISBN-13 : 9781836643487
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Aug 12, 2024
Length: 323 pages
Edition : 1st
Language : English
ISBN-13 : 9781836643487
Category :
Concepts :

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Table of Contents

7 Chapters
Chapter 1: Introduction to Python Chevron down icon Chevron up icon
Chapter 2: Introduction to NumPy Chevron down icon Chevron up icon
Chapter 3: Introduction to Pandas Chevron down icon Chevron up icon
Chapter 4: Working with Sklearn and Scipy Chevron down icon Chevron up icon
Chapter 5: Data Cleaning Tasks Chevron down icon Chevron up icon
Chapter 6: Data Visualization Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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