Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition by Jacqueline Kazil (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 56494
Number of Pages: 501

Rs.1,025.00

Rs.1,395.00

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Description
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Description

"Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition" by Jacqueline Kazil and Katharine Jarmul is a comprehensive guide designed for anyone navigating the complexities of data preparation in Python. As seasoned data scientists and authors, Kazil and Jarmul bring their extensive expertise to light, offering a practical roadmap through the often daunting landscape of data wrangling. This book is a treasure trove of strategies, techniques, and Python tools tailored to streamline the process of transforming raw data into a usable format, empowering readers with the skills necessary to tackle real-world data challenges efficiently.

From the fundamentals of data cleaning to advanced manipulation techniques, Kazil and Jarmul cover it all with clarity and depth. Readers will learn how to harness Python's powerful libraries like Pandas and NumPy effectively, mastering essential tasks such as data aggregation, merging datasets, handling missing values, and more. The authors emphasize practical application through hands-on examples and case studies, ensuring that theoretical concepts translate seamlessly into actionable insights. Whether you're a novice looking to establish a solid foundation in data wrangling or a seasoned professional seeking to refine your skills, this book serves as an invaluable resource packed with indispensable advice and best practices.

Key Points:

Comprehensive coverage of data wrangling techniques using Python.
Practical insights and strategies from experienced data scientists.
Utilization of Python libraries such as Pandas and NumPy for efficient data manipulation.
Step-by-step guides and real-world examples to reinforce learning.
Emphasis on best practices to optimize data cleaning and preparation workflows.
Suitable for both beginners and advanced practitioners in data science.
Written by authoritative authors Jacqueline Kazil and Katharine Jarmul.

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Writer ✤
Jacqueline Kazil (Author), Katharine Jarmul (Author)

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