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- Python Data Analytics: With Pandas, NumPy, an...
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Nº de artículo:
20503299
Python Data Analytics: With Pandas, NumPy, and Matplotlib
87% of respondents would recommend this to a friend
Nº de artículo:
20503299
CLP 80267
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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.
Detalles de producto
- 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?
-
Data Analysts
This book is perfect for data analysts looking to enhance their skills using Python libraries for effective data manipulation.
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Students
Ideal for students pursuing courses in data science or analytics who need a comprehensive guide on Python data tools.
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Professionals Transitioning
Great for professionals transitioning from other fields to data analytics, providing foundational knowledge and application examples.
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Novice Programmers
Beginners with no programming experience might find the concepts challenging without prior knowledge of Python fundamentals.
DESCRIPCIÓN DEL PRODUCTO
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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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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ventajas
- 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
Contras
- Unnecessarily long and repetitive
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CLP 80267
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