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Item #:
274568897
Bash for Data Scientists
Item #:
274568897
NZD 102
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Product Details
- This book introduces an assortment of powerful command line utilitiesthat can be combined to create simple, yet powerful shell scripts for processing datasets.The code samples and scripts use the bash shell, and typically involve small datasets soyou can focus on understanding the features of grep, sed, and awk. Companion fileswith code are available for downloading from the publisher.Features+Provides the reader with powerful command line utilities that can be combined tocreate simple yet powerful shell scripts for processing datasets+Contains a variety of code fragments and shell scripts for data scientists, data analysts,and those who want shell-based solutions to “clean” various types of datasets+Companion files with code available for downloading with Amazon proof ofpurchase by writing to the publisher.Table of Contents1: Introduction to UNIX. 2: Files and Directories. 3: Useful Commands.4: Conditional Logic and Loops. 5: Processing Datasets with grep and sed.6: Processing Datasets with awk. 7: Processing Datasets (Pandas).8: NoSQL, SQLite, and Python. Index.About the AuthorOswald Campesato (San Francisco, CA) is an adjunct instructorat UC-Santa Clara and specializes in Deep Learning, Java, Android,and NLP. He is the author of over twenty-five books including theSQL Pocket Primer, Python 3 for Machine Learning, and theNLP Using R Pocket Primer (all Mercury Learning).
| Publisher | Mercury Learning and Information |
| Publication date | December 5, 2022 |
| Language | English |
| File size | 1.5 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 292 pages |
| ISBN-13 | 978-1683929710 |
| Page Flip | Enabled |
| Item Weight | 1.5 lbs (680 grams) |
Product Description
Bash for Data Scientists
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NZD 102
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Features & Benefits
- Learn to create powerful shell scripts for dataset processing.
- Utilize essential command line utilities like grep, sed, and awk.
- Focus on manageable datasets for better understanding.
- Access companion files with ready-to-use code.
- Ideal for data scientists and analysts seeking shell-based solutions.
- Transform complex data cleaning tasks into simple scripts.
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