Bash for Data Scientists
Seiten
2022
Mercury Learning & Information (Verlag)
978-1-68392-973-4 (ISBN)
Mercury Learning & Information (Verlag)
978-1-68392-973-4 (ISBN)
Introduces an assortment of power¬ful command line utilities that 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 so you can focus on understanding the features of grep, sed, and awk. Companion files with code are available for downloading from the publisher.
Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
1: 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
Erscheinungsdatum | 11.01.2023 |
---|---|
Sprache | englisch |
Gewicht | 540 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
ISBN-10 | 1-68392-973-X / 168392973X |
ISBN-13 | 978-1-68392-973-4 / 9781683929734 |
Zustand | Neuware |
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