зүйлийн дугаар:
177626428
Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter
зүйлийн дугаар:
177626428
MNT 288865
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What Stands Out
Comprehensive Content
This book covers extensive data analysis techniques using popular libraries like pandas and NumPy, making it ideal for data enthusiasts looking to enhance their skills in data wrangling.
Practical Examples
Filled with real-world examples, it enables readers to grasp complex concepts and apply data analysis effectively, addressing common challenges faced by data professionals.
User-Friendly Approach
Designed for both beginners and experienced users, the integration with Jupyter enhances interactivity, ensuring readers can easily follow along and apply techniques in their projects.
Бүтээгдэхүүний дэлгэрэнгүй мэдээлэл
- Definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python
- Updated for Python 3.10 and pandas 1.4
- Packed with practical case studies for effective data analysis
- Written by Wes McKinney, creator of the Python pandas project
- Ideal for analysts new to Python and programmers new to data science
- Includes data files and related material on GitHub
| Publishers | O'Reilly Media |
| Date of publication | 26 August 2022 |
| Prints | 3. |
| Language | English |
| Print Length | 550 pages |
| ISBN-10 | 109810403X |
| ISBN-13 | 978-1098104030 |
| Dimensions | 17.78 x 3.81 x 22.86 cm |
БАРААНЫ ТАЙЛБАР
Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter
Асуулга байна уу? Бидэнтэй чатлаарай
Хэрэглэгчийн асуулт, хариулт
-
Асуулт:
Who is the author of this book?
Хариулт: The author of the book is Wes McKinney, the creator of the Python pandas project. -
Асуулт:
Is this book useful for analysts and programmers new to data science?
Хариулт: Yes, the book is ideal for analysts new to Python and for Python programmers new to data science and scientific computing. -
Асуулт:
Are there practical examples in the book?
Хариулт: Yes, the book is packed with practical case studies and real-world examples to demonstrate key concepts.
İngilizce Baskı Wes McKinney Format: Kağıt Kapak Editorial Review
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Бусад хэрэглэгчидтэй санал бодлоо хуваалцана уу
Давуу тал
- Comprehensive data analysis guide
- Easy-to-follow examples
- Great for beginners and experts
- Covers key Python libraries
- Well-structured and organized
Сул талууд
- Some topics could be more detailed.
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MNT 288865
Яг одоо захиалаад ойрын хугацаанд хүлээн аваарай Бямба гараг, 9 дүгээр сар 12
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Онцлог & Давуу талууд
- Practical guide for solving data analysis problems in Python with latest versions of pandas, NumPy, and Jupyter
- Ideal for analysts new to Python and for Python programmers new to data science and scientific computing
- Includes practical case studies and real-world examples to demonstrate key concepts
- Learn how to manipulate, process, clean, and crunch datasets with flexible tools
- Create informative visualizations with matplotlib and analyze time series data
- Data files and related material available on GitHub
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