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| S1 |
B-Ploud Corporation, PyQ Team, Tsutomu Saito, Tomoko Furuki (Author)
 Original text before translation
株式会社ビープラウド、PyQチーム、斎藤 努、古木 友子 (著)
(170860)
JAN:9784798170862
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(170860)
JAN:9784798170862
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:A5
Number of pages:380 |
| Specifications |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2023
Product tag: None
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Description
| PyQ's popular content is now available in book form! Put your data science skills to the test! [Background of this book] Pandas is an indispensable library in today's data science practice surrounding Python. pandas provides a wealth of functionality, but to master it in practice, it is important to think for yourself and use it by trial and error. Also, by reading code written by others, you can gain new insights such as "I didn't know such an efficient way to write code! (excerpt from [Introduction]). [Contents of this book] To help you test your programming skills with pandas, we have prepared a total of 51 questions on 9 topics. In addition to the main model answer, each question has a [separate solution] so that the reader can be exposed to as many different ways of thinking as possible (excerpt from [Introduction]). [What is PyQ? PyQ is an online learning service operated by B-Ploud Corporation that allows users to study using only a browser. [An example of a problem in this book]. *To extract minimum and maximum *To narrow down rows by conditions *To convert a string to date and time [Learning Environment] Execution environment: PyQ, JupyterLab Language: Python 3.11 Libraries used: pandas:1.5.2, JupyterLab:3.5.1, Matplotlib:3.6.2 [Target Readers.] *Introductory users who have learned basic Python and pandas operations. *Those who want to learn how to write more efficiently in pandas *Those who want to expand their knowledge [Prerequisites.] *Basic Python syntax *Basic usage of pandas and NumPy [Table of Contents] Chapter 0 How to Use This Manual Chapter 1: Basic Knowledge of pandas Chapter 2: Inputting and Outputting Data Chapter 3: Checking Data Overview Chapter 4 Referencing Data Partially Chapter 5 Transforming Data Chapter 6 Processing* Operations on Data Chapter 7 Grouping Data Chapter 8 Manipulating Strings Chapter 9 Manipulate Data of Date Time Type Chapter 10 Making a Table Display More Visible [Author's Profile] B-Ploud Corporation PyQ Team Tsutomu Saito He is in charge of PyQ, etc. at B-Ploud Corporation. Tomoko Furuki Ms. Furuki is in charge of analytical work at B-Ploud Corporation. |
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Other items from this category:
[Background of this book]
Pandas is an indispensable library in today's data science practice surrounding Python. pandas provides a wealth of functionality, but to master it in practice, it is important to think for yourself and use it by trial and error. Also, by reading code written by others, you can gain new insights such as "I didn't know such an efficient way to write code! (excerpt from [Introduction]).
[Contents of this book]
To help you test your programming skills with pandas, we have prepared a total of 51 questions on 9 topics. In addition to the main model answer, each question has a [separate solution] so that the reader can be exposed to as many different ways of thinking as possible (excerpt from [Introduction]).
[What is PyQ?
PyQ is an online learning service operated by B-Ploud Corporation that allows users to study using only a browser.
[An example of a problem in this book].
*To extract minimum and maximum
*To narrow down rows by conditions
*To convert a string to date and time
[Learning Environment]
Execution environment: PyQ, JupyterLab
Language: Python 3.11
Libraries used: pandas:1.5.2, JupyterLab:3.5.1, Matplotlib:3.6.2
[Target Readers.]
*Introductory users who have learned basic Python and pandas operations.
*Those who want to learn how to write more efficiently in pandas *Those who want to expand their knowledge
[Prerequisites.]
*Basic Python syntax
*Basic usage of pandas and NumPy
[Table of Contents]
Chapter 0 How to Use This Manual
Chapter 1: Basic Knowledge of pandas
Chapter 2: Inputting and Outputting Data
Chapter 3: Checking Data Overview
Chapter 4 Referencing Data Partially
Chapter 5 Transforming Data
Chapter 6 Processing* Operations on Data
Chapter 7 Grouping Data
Chapter 8 Manipulating Strings
Chapter 9 Manipulate Data of Date Time Type
Chapter 10 Making a Table Display More Visible
[Author's Profile]
B-Ploud Corporation
PyQ Team
Tsutomu Saito
He is in charge of PyQ, etc. at B-Ploud Corporation.
Tomoko Furuki
Ms. Furuki is in charge of analytical work at B-Ploud Corporation.