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SD item code:12974181
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| S1 |
Takunao Mori (Author)
 Original text before translation
森 巧尚 (著)
(182620)
JAN:9784798182629
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(182620)
JAN:9784798182629
Wholesale Price: Members Only
1 pc /set
In Stock
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| Shipping Date |
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About 1 week
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| Dimensions |
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Format:B5
Number of pages:200 |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2024
Product tag: None
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Description
| The long-awaited 2nd edition is now available! Experience data analysis in Python! [Background of this book] Python provides many useful libraries for data analysis. For this reason, more and more people are using Python to analyze large amounts of data collected through scraping and other methods. [Summary of this book] With Dr. Goat & Futaba-chan, the book carefully explains the concept of data analysis. It explains how to do the preprocessing necessary when analyzing data, how to look at a collection of data, how to turn data into easy-to-read graphs, how to look at the distribution of data, and how to make predictions. [Key Points of the Second Edition] *Updates to Anaconda and Google Colab Notebook *Updates to various libraries [About Python 2] The [Python 2nd Grade] series is an introductory book for those who have finished [Python 1st Grade]. It includes some technical details to help you improve your skills. [Intended audience.] *Beginners who want to know methods of data analysis. *Beginners who want to know how to visualize and forecast data. [Key points of this book] *Explanations are given in an interactive style, and basic knowledge is explained with illustrations. *Plain samples are provided so that you can experience the program with ease. [Table of Contents] Chapter 1: What is Data Analysis? Chapter 2: Collected Data Requires Preprocessing Chapter 3: What is a collection of data in a word? Representative value Chapter 4: Imaging Features with Charts: Graphs Chapter 5: Is this normal or unusual? Unusual? Normal distribution Chapter 6 Predicting from Relationships: Regression Analysis [Author's profile] Yoshinao Mori He has been making games since the days of [Microcomputer BASIC Magazine] (Denpa Shinbunsha), and currently works as a content creator and writer. He is a part-time lecturer at Kwansei Gakuin University, a part-time lecturer at Kwansei Gakuin High School, a part-time lecturer at Seian University of Art and Design, a part-time lecturer at Osaka University of Arts, and a lecturer at programming school COPRI. His recent publications include [Python 2nd Grade: How Scraping Works, 2nd Edition], [ChatGPT Programming, 1st Grade], [Python 3rd Grade: How Deep Learning Works], [Python 2nd Grade: How Desktop Application Development Works], [Python 1st Grade, 2nd Edition], [Python 3rd Grade: Machine Learning How to develop desktop applications], [Python 1st grader, 2nd edition], [Python 3rd grader, Machine Learning], [Java 1st grader], and [Learn by moving! |
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| Shipping Method | Estimated Arrival |
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| Sea Mail | From Nov.11th 2025 to Jan.13th 2026 |
| Air Mail | From Oct.24th 2025 to Oct.28th 2025 |
| EMS | From Oct.23rd 2025 to Oct.28th 2025 |
| Pantos Express | From Oct.27th 2025 to Oct.30th 2025 |
| DHL | From Oct.23rd 2025 to Oct.27th 2025 |
| UPS | From Oct.23rd 2025 to Oct.27th 2025 |
| FedEx | From Oct.23rd 2025 to Oct.27th 2025 |
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Other items from this category:
Experience data analysis in Python!
[Background of this book]
Python provides many useful libraries for data analysis. For this reason, more and more people are using Python to analyze large amounts of data collected through scraping and other methods.
[Summary of this book]
With Dr. Goat & Futaba-chan, the book carefully explains the concept of data analysis. It explains how to do the preprocessing necessary when analyzing data, how to look at a collection of data, how to turn data into easy-to-read graphs, how to look at the distribution of data, and how to make predictions.
[Key Points of the Second Edition]
*Updates to Anaconda and Google Colab Notebook
*Updates to various libraries
[About Python 2]
The [Python 2nd Grade] series is an introductory book for those who have finished [Python 1st Grade]. It includes some technical details to help you improve your skills.
[Intended audience.]
*Beginners who want to know methods of data analysis.
*Beginners who want to know how to visualize and forecast data.
[Key points of this book]
*Explanations are given in an interactive style, and basic knowledge is explained with illustrations.
*Plain samples are provided so that you can experience the program with ease.
[Table of Contents]
Chapter 1: What is Data Analysis?
Chapter 2: Collected Data Requires Preprocessing
Chapter 3: What is a collection of data in a word? Representative value
Chapter 4: Imaging Features with Charts: Graphs
Chapter 5: Is this normal or unusual? Unusual? Normal distribution
Chapter 6 Predicting from Relationships: Regression Analysis
[Author's profile]
Yoshinao Mori
He has been making games since the days of [Microcomputer BASIC Magazine] (Denpa Shinbunsha), and currently works as a content creator and writer. He is a part-time lecturer at Kwansei Gakuin University, a part-time lecturer at Kwansei Gakuin High School, a part-time lecturer at Seian University of Art and Design, a part-time lecturer at Osaka University of Arts, and a lecturer at programming school COPRI. His recent publications include [Python 2nd Grade: How Scraping Works, 2nd Edition], [ChatGPT Programming, 1st Grade], [Python 3rd Grade: How Deep Learning Works], [Python 2nd Grade: How Desktop Application Development Works], [Python 1st Grade, 2nd Edition], [Python 3rd Grade: Machine Learning How to develop desktop applications], [Python 1st grader, 2nd edition], [Python 3rd grader, Machine Learning], [Java 1st grader], and [Learn by moving!