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Item #:
78335799
Pandas in Action
Item #:
78335799
PKR 25021
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What Stands Out
Practical Examples
Offers hands-on tutorials and real-world examples, making complex data manipulation with Pandas easy to understand for learners at all levels.
Comprehensive Coverage
Covers a wide range of data analysis techniques, from basics to advanced methods, ensuring readers gain a robust understanding of data science.
Beginner Friendly
Designed for newcomers, with clear explanations and guided projects that facilitate learning and empower users to become proficient in data analysis.
Product Details
- Learn how to import, filter, pivot, and draw conclusions from datasets
- Identify trends from text-based and time-based data
- Organize, group, merge, and join separate datasets using pandas
- Use a GroupBy object to store multiple DataFrames
- Introduces Python-based data analysis using the pandas library
- Suitable for readers experienced with spreadsheets and basic Python programming
| Publisher | Manning |
| Publication date | October 5, 2021 |
| Language | English |
| Print length | 440 pages |
| ISBN-10 | 1617297437 |
| ISBN-13 | 978-1617297434 |
| Item Weight | 1.6 pounds (730 grams) |
| Dimensions | 7.38 x 0.9 x 9.25 inches (18.7 x 2.3 x 23.5 cm) |
Who Should Buy?
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Data Scientists
This book offers in-depth insights that enhance data manipulation skills for data science projects and analyses.
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Python Programmers
Ideal for Python developers looking to expand their knowledge in data analysis using the Pandas library effectively.
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Analytics Students
Perfect for learners seeking to understand data handling concepts through practical examples in a structured manner.
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Beginners
Complete beginners may struggle with the concepts without prior knowledge of Python and data manipulation basics.
Product Description
Pandas in Action
About This Item
Introducing "Pandas in Action" - Your Ultimate Guide to Mastering Pandas for Data Analysis and Data Science Are you ready to take your data analysis and data science skills to the next level? Look no further than "Pandas in Action" – the ultimate guide to mastering the powerful Python library, Pandas. Whether you're a beginner looking to learn the basics or an experienced data analyst seeking to enhance your skills, this book has got you covered. With "Pandas in Action," you'll gain comprehensive knowledge and practical insights into the world of data manipulation, data cleaning, data visualization, and much more. Why Choose "Pandas in Action"? 1. Comprehensive Coverage: "Pandas in Action" offers a comprehensive exploration of Pandas' various functionalities, ensuring you have a solid foundation for performing a wide range of data analysis tasks. 2.
Practical Examples: With a plethora of coding examples and real-world use cases, this book ensures you not only understand the concepts but also learn how to apply them effectively. 3. Expert Guidance: Written by experienced data analysts, "Pandas in Action" provides expert guidance, best practices, and useful tips and tricks to help you become a proficient Pandas user. 4. Data Science Focus: This book specifically caters to data science professionals, equipping you with the necessary techniques and tools to handle complex data analysis tasks effortlessly. 5.
Easy-to-Follow Format: "Pandas in Action" presents concepts in a clear and concise manner, ensuring that even beginners can grasp advanced topics quickly. Topics Covered include: - Introduction to Pandas and its key features - Data manipulation using Pandas DataFrame - Data cleaning techniques with Pandas - Powerful data visualization using Pandas - Essential Pandas functions and methods - Data preprocessing and data analysis techniques - Pandas cheat sheet for quick reference - Best practices for optimal data analysis workflows - Advanced coding examples for real-world applications Don't miss out on this opportunity to become a Pandas expert! "Pandas in Action" is your comprehensive guide to mastering Pandas and unlocking its full potential for data analysis and data science. Order your copy of "Pandas in Action" now and embark on your journey to becoming a proficient Pandas user today!.
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Data Modeling & Design Editorial Review
"Pandas in Action" is a comprehensive and well-written book that serves as both a learning resource and a reference text for Pandas and Python programming. The author, Mr. Paskhaver, demonstrates a strong command of Pandas and an ability to effectively teach the subject. The book is structured in a way that suits both beginners and experienced users of Pandas. It starts with the basics and gradually introduces more advanced concepts. The author uses practical and useful examples to explain complex ideas, making it easy for readers to understand. One of the strengths of this book is its usefulness as a reference text. The index is well-organized, allowing readers to quickly find the information they need. Whether it's syntax for sorting or slicing a database, or a quick refresher on specific topics like MultiIndexes, the book provides clear and concise explanations. The exercises included in the book help reinforce what readers have learned and provide an opportunity for hands-on practice. This makes it an effective tool for both self-paced learning and classroom use. Overall, "Pandas in Action" is highly recommended for anyone looking to learn Pandas or enhance their knowledge of the package. It is a valuable resource that provides a strong foundation in Python and Pandas, as well as serving as a handy reference for data analysis and programming.
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Pros
- Clear and succinct explanations
- Practical and useful examples
- Well-structured and organized
- Comprehensive coverage of Pandas and Python programming
- Effective as both a learning resource and a reference text
Product Price History
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PKR 25021
Order now and get it around Thursday, October 08
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Features & Benefits
- Learn how to efficiently analyze and manipulate data using Python's Pandas library
- Automate repetitive operations and gain deeper insights into your data
- Organize, filter, sort, pivot, and draw conclusions from datasets
- Identify trends from text-based and time-based data
- Merge and join separate datasets
- Suitable for readers experienced with spreadsheets and basic Python programming
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