| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220610b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783030543730 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.312 |
| Item number |
BRE |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Bressoud, Thomas |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Introduction to data systems : building from Python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2020 |
| Place of publication, distribution, etc |
Cham : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxix, 828 p. ; |
| Other physical details |
ill., |
| Dimensions |
24 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
49.99 |
| Price type code |
EUR |
| Unit of pricing |
86.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form. The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the “data-aptitude” built by the material in this book. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Python |
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| Topical term or geographic name as entry element |
Computer program language |
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| Topical term or geographic name as entry element |
Data mining |
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| Topical term or geographic name as entry element |
Data structures |
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| Topical term or geographic name as entry element |
Computer science |
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| Topical term or geographic name as entry element |
Big data |
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| Topical term or geographic name as entry element |
Artificial intelligence |
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| Topical term or geographic name as entry element |
Computers |
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| Topical term or geographic name as entry element |
Aggregation |
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| Topical term or geographic name as entry element |
Byte-stream |
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| Topical term or geographic name as entry element |
Client-secret |
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| Topical term or geographic name as entry element |
Data structure |
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| Topical term or geographic name as entry element |
Element treee parser |
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| Topical term or geographic name as entry element |
Functional dependency |
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| Topical term or geographic name as entry element |
Hierarchical data model |
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| Topical term or geographic name as entry element |
JSON schema |
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| Topical term or geographic name as entry element |
Lxml module |
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| Topical term or geographic name as entry element |
Missing data |
|
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| Topical term or geographic name as entry element |
Node |
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| Topical term or geographic name as entry element |
Ord() function |
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| Topical term or geographic name as entry element |
POST request |
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| Topical term or geographic name as entry element |
Query parameters |
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| Topical term or geographic name as entry element |
Xpath |
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| Topical term or geographic name as entry element |
Authorization |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
White, David |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |