
Manage and Automate Data Analysis with Pandas in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex.
Addison-Wesley Data & Analytics Pandas for Everyone: Python Data Analysis, Paperback
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Manage and Automate Data Analysis with Pandas in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex.
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Rincian Produk
- Manage and automate data analysis with Pandas in Python
- Learn practical knowledge and insight for solving real problems with Pandas
- Updated coverage of plotting and the seaborn data visualization library
- Includes examples, resources, and online bonus material
- Covers data cleaning techniques, model fitting, and performance tips
- Explore advanced features like linear modeling and unsupervised machine learning
| Language | English |
| Series Title | Addison-Wesley Data & Analytics |
| Publisher | Pearson Education |
| Book Format | Paperback |
| Original Languages | English |
| Number of Pages | 512 |
| Author | Addison-Wesley Professional |
| Is Large Print | N |
| Title | Pandas for Everyone: Python Data Analysis |
| ISBN-13 | 9780137891153 |
| Publication Date | December, 2022 |
| ISBN-10 | 0137891156 |
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pages | 512 |
| Reading level | Professional and Scholarly |
| Subgenre | Languages |
| Edition | 2nd Edition |
| Original languages | English |
| Item Weight | 1.5 lbs (680 grams) |
DESKRIPSI PRODUK
Addison-Wesley Data & Analytics Pandas for Everyone: Python Data Analysis, Paperback
Pertanyaan & Jawaban Pelanggan
-
pertanyaan:
What key concepts are introduced in this book?
menjawab: Key concepts such as using regularization to prevent data overfitting and unsupervised machine learning methods are introduced. -
pertanyaan:
What are some new features in the second edition of the book?
menjawab: Extended coverage of plotting, expanded examples, and resources, updated Python 3.9 code, and packages coverage. -
pertanyaan:
What are some techniques covered for data cleaning in this book?
menjawab: From basic string manipulation to applying functions across dataframes, powerful data cleaning techniques are demonstrated.
Daniel Chen All Books Editorial Review
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IDR 1140430
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Fitur & Manfaat
- Automate data analysis tasks using Pandas in Python
- Suitable for managing data of high variety, velocity, and volume
- Can handle large and complex data analysis tasks
- Ensure data veracity and visualize it effectively for decision-making
- Reproducibility across multiple data sets
- Practical guide for solving real-world data science problems
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