Learning Pandas 2.0 (This Book Only)
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Learning Pandas 2.0

A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

About the Book

"Learning Pandas 2.0" is an essential guide for anyone looking to harness the power of Python's premier data manipulation library. With this comprehensive resource, you will not only master core Pandas 2.0 concepts but also learn how to employ its advanced features to perform efficient data manipulation and analysis.

Throughout the book, you will acquire a deep understanding of Pandas 2.0's data structures, indexing, and selection techniques. Gain expertise in loading, storing, and cleaning data from various file formats and sources, ensuring data integrity and consistency. As you progress, you will delve into advanced data transformation, merging, and aggregation methods to extract meaningful insights and generate insightful reports.

"Learning Pandas 2.0" also covers specialized data processing needs like time series data, DateTime operations, and geospatial analysis. Furthermore, this book demonstrates how to integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics. This will empower you to build powerful data-driven models to solve complex problems and enhance your decision-making capabilities.

Key Learnings
  • Master core Pandas 2.0 concepts, including data structures, indexing, and selection for efficient data manipulation.
  • Load, store, and clean data from various file formats and sources, ensuring data integrity and consistency.
  • Perform advanced data transformation, merging, and aggregation techniques for insightful analysis and reporting.
  • Harness time series data, DateTime operations, and geospatial analysis for specialized data processing needs.
  • Visualize data effectively using Seaborn, Plotly, and advanced geospatial visualization tools.
  • Integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics.

Table of Content
  1. Introduction to Pandas 2.0
  2. Data Read, Storage, and File Formats
  3. Indexing and Selecting Data
  4. Data Manipulation and Transformation
  5. Time Series and DateTime Operations
  6. Performance Optimization and Scaling
  7. Machine Learning with Pandas 2.0
  8. Text Data and Natural Language Processing
  9. Geospatial Data Analysis

About the Editor

GitforGits | Asian Publishing House
GitforGits | Asian Publishing House

GitforGits is an Asian publishing house where knowledgeable experts and open-source contributors collaborate to disseminate new ideas and innovations. We plan to provide niche, original, and useful content; we are a self-funded, independent publisher. We have books spanning the fields of computer science, cybersecurity, cloud computing, devops, deep learning, hardware programming, networking, the Internet of Things, and any other area of technology to which we can satisfactorily contribute.

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    Make code reusable and deployed for high performance web apps

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This Book + Extras Downloadable (Parallel Python with Dask + Google JAX Essentials)

This package consists of 3 Books. The primary purchased book is available in your library and to download the extra ebooks, go to your Leanpub Library, select the book you purchased. Then, you will see a link (or links) to download the Extras included with the book

Includes:

  • extras
    Parallel Python with Dask

    Make code reusable and deployed for high performance web apps

  • extras
    Google JAX Essentials

    Quick practical learning of blazing-fast library for machine learning and deep learning projects

  • PDF

  • EPUB

  • English

$79.99
Minimum price
$79.99
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$89.97
Bought separately
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Minimum price
$79.99
Suggested price
$89.97
Bought separately
$69.99
Minimum price
$79.99
Suggested price

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