Python Data Science Handbook: Essential Tools for Working with Data 2nd Edition by Jake VanderPlas (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 56529
Number of Pages: 588

Rs.1,175.00

Rs.1,495.00

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Description

"Python Data Science Handbook: Essential Tools for Working with Data 2nd Edition" by Jake VanderPlas is an indispensable resource for data scientists, analysts, and Python enthusiasts. This comprehensive handbook covers essential tools and techniques for effectively working with data using Python. From data manipulation and visualization to machine learning and statistical analysis, VanderPlas provides clear explanations and practical examples using Python libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and more. Whether you're a beginner or an experienced practitioner, this updated edition equips you with the skills needed to tackle real-world data challenges and build robust data-driven solutions.

Key Points:

Comprehensive Coverage: Covers essential tools and techniques for data manipulation, visualization, and analysis using Python.
Updated Content: Includes new material and examples relevant to current trends in data science.
Practical Examples: Provides hands-on examples using popular Python libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn.
Machine Learning: Discusses machine learning concepts and applications with practical code examples.
Data Visualization: Emphasizes effective data visualization techniques to communicate insights clearly.
Statistical Analysis: Includes methods for statistical analysis and hypothesis testing using Python.
Authoritative Author: Written by Jake VanderPlas, a prominent data scientist and educator known for his expertise in Python and data science.

Conclusion: "Python Data Science Handbook: Essential Tools for Working with Data 2nd Edition" is an essential guide for anyone looking to harness the power of Python for data science. Whether you're learning the basics or advancing your skills, VanderPlas' clear explanations, practical examples, and comprehensive coverage make this book a must-have resource for mastering data manipulation, visualization, and machine learning techniques using Python.

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Writer ✤ Jake VanderPlas (Author)

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