Python Data Analytics: With Pandas, NumPy, and Matplotlib
Položka č.: 20503299

Python Data Analytics: With Pandas, NumPy, and Matplotlib

Položka č.: 20503299

CZK 1864

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What Stands Out

Comprehensive Coverage
This book offers an in-depth exploration of essential data analytics tools like Pandas, NumPy, and Matplotlib, providing a thorough understanding for beginners and advanced users alike.
Practical Examples
Real-world projects and examples strengthen learning, allowing readers to apply data analytics concepts and techniques effectively. This hands-on approach fosters skill mastery and boosts confidence.
Updated Content
The 2nd edition features updated information and modern techniques, ensuring readers are equipped with the latest practices for data analysis, enhancing their relevance in a rapidly evolving field.

Detaily produktu

Explore the latest Python tools for data acquisition and analysis. Learn NumPy, matplotlib, scikit-learn, pandas, OpenCV, and more. Enhance your data processing skills with Python at Ubuy Czech Republic.
  • Explore the latest Python tools for data acquisition and analysis
  • Covers scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn
  • Fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries
  • Demonstrates using Python for data processing, management, and information retrieval with multiple examples
  • Learn to apply Python for data analysis, handwriting recognition, and extending graphical capabilities
  • Targeted at experienced Python developers seeking to learn Pythonic tools for data analysis
Publisher Apress
Publication date September 28, 2018
Edition 2nd ed.
Language English
Print length 588 pages
ISBN-10 1484239121
ISBN-13 978-1484239124
Item Weight 2.2 pounds (1 kg)
Dimensions 7.01 x 1.34 x 10 inches (17.8 x 3.4 x 25.4 cm)

Who Should Buy?

Suitable For
  • Data Analysts

    This book is perfect for data analysts looking to enhance their skills using Python libraries for effective data manipulation.

  • Students

    Ideal for students pursuing courses in data science or analytics who need a comprehensive guide on Python data tools.

  • Professionals Transitioning

    Great for professionals transitioning from other fields to data analytics, providing foundational knowledge and application examples.

Not Suitable For
  • Novice Programmers

    Beginners with no programming experience might find the concepts challenging without prior knowledge of Python fundamentals.

POPIS PRODUKTU

Python Data Analytics: With Pandas, NumPy, and Matplotlib

About This Item

Enhance your data analysis skills with Python Data Analytics: With Pandas, NumPy, and Matplotlib 2nd ed. Edition. Whether you're a seasoned data analyst or just starting out, this book provides comprehensive coverage of the latest Python tools and techniques to help you tackle the ever-expanding world of data acquisition and analysis. This revised edition is fully updated, offering new content on social media data analysis, image analysis with OpenCV, and deep learning libraries.

The book takes you through the fundamentals of scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. Each chapter is packed with multiple examples, showcasing how to effectively work with each library. At the core of this book is the coverage of pandas, a powerful library known for its high-performance, easy-to-use data structures and tools for data manipulation. Author Fabio Nelli expertly demonstrates how to harness the power of Python for data processing, management, and information retrieval. But the learning doesn't stop there.

Python Data Analytics, Second Edition takes you beyond the basics. Later chapters explore advanced topics such as handwriting recognition and extending graphical capabilities with the JavaScript D3 library. You'll discover how to efficiently store, access, and analyze various data sets, ranging from sales data and investment data to medical data and web page usage. Fabio Nelli, an IT Scientific Application Specialist at IRBM Science Park in Italy, brings his extensive experience as a computer consultant and expertise in information technologies applied to Life Sciences to the table.

With an Organic Chemistry degree and years of experience in automation systems, Nelli's knowledge shines through in this invaluable reference. Whether you're looking to further your career in data analysis or simply gain a deeper understanding of Python's data analytics capabilities, Python Data Analytics, Second Edition is the perfect companion. Get your copy today and unlock the power of Python for data analysis.

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  • otázka: Jak nakupovat Python Data Analytics: With Pandas, NumPy, and online z Ubuy?

    Odpovědět: Nakupovat Python Data Analytics: With Pandas, NumPy, and online z Ubuy je snadné.. Stačí si produkt vyhledat, vybrat způsob dopravy při placení a nechat si jej doručit na místo.
  • otázka: Je Python Data Analytics: With Pandas, NumPy, and k dispozici pro online nákup v Czech Republic?

    Odpovědět: Ano, na Ubuy Czech Republic je tento produkt k dispozici k nákupu za rozumnou cenu.. Python Data Analytics: With Pandas, NumPy, and není místně dostupné, ale můžete nám důvěřovat s našimi expresními přepravními službami.
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Intelligence & Semantics Editorial Review

The Python Data Analytics: With Pandas, NumPy, and Matplotlib 2nd ed. Edition serves as a comprehensive reference for beginners looking to learn about data analytics with Python. The book covers the major libraries and techniques that make Python an attractive tool for data analysis, including NumPy, Pandas, and Matplotlib. The author provides plenty of examples and explains potential errors that users may encounter. However, some readers find the book to be unnecessarily long and repetitive. They also criticize the large font size and difficult layout, which makes the text difficult to read and understand. While the book covers important topics, some readers feel that it lacks exploration of the mathematical power of NumPy and matrix work. Overall, the Python Data Analytics book may be useful for beginners seeking a systematic introduction to data analytics with Python. However, readers should be aware of potential issues with the book's length, repetition, and presentation.

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Klady

  • Provides a systematic introduction to data analytics with Python
  • Covers major libraries and techniques, including NumPy, Pandas, and Matplotlib
  • Offers plenty of examples and explains potential errors

Nevýhody

  • Unnecessarily long and repetitive

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