Data Science Tools: Unterschied zwischen den Versionen
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=Environment= | =Environment Setup= | ||
*[https://datlinux.com/ DATlinux] (Custom Lubuntu 22 for Data Science) | * [https://datlinux.com/ DATlinux] (Custom Lubuntu 22 for Data Science) | ||
*[https://www.virtualbox.org/ Virtualbox] | * [https://www.virtualbox.org/ Virtualbox] | ||
DATlinux has a variety of tools pre-installed - we will be using [https://spacy.io/ SpaCy] and Python for a minimal pipeline. | DATlinux has a variety of tools pre-installed - but we will be using [https://spacy.io/ SpaCy] and Python for a minimal pipeline. | ||
Questions to ask: | ==Questions to ask:== | ||
*What technical tools do I want to do? | * What technical tools do I want to do? | ||
*What do I have installed on my system and what do I need to add? | * What do I have installed on my system and what do I need to add? | ||
*Which questions do I want to ask and what datasets do I want to work on? | * Which questions do I want to ask and what datasets do I want to work on? | ||
HowTos: | ==HowTos:== | ||
* [https://www.geeksforgeeks.org/check-the-version-of-the-python-interpreter/ Python version on Linux] | * [https://www.geeksforgeeks.org/check-the-version-of-the-python-interpreter/ Python version on Linux] | ||
* [https://spacy.io/usage Install SpaCy] | * [https://spacy.io/usage Install SpaCy] | ||
* Add to PATH on Linux | * [https://linuxize.com/post/how-to-add-directory-to-path-in-linux/ Add to PATH on Linux] | ||
* [https://www.freecodecamp.org/news/run-python-script-how-to-execute-python-shell-commands-in-terminal/ Run the Python Shell on Linux] | |||
Version vom 31. Dezember 2022, 14:07 Uhr
INFORMATION
Weitere Infos im Volltext. Sprache der Inhalte: English.
- Data Science Tools
- ELib Team
- 2022
- eLib Lizenz
- Internettext
- Onlineversion - Archivversion
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TAGS & KATEGORIEN
This page collects one possible approach for newbies to get a NLP and Data Science virtual machine up and running.
Environment Setup
- DATlinux (Custom Lubuntu 22 for Data Science)
- Virtualbox
DATlinux has a variety of tools pre-installed - but we will be using SpaCy and Python for a minimal pipeline.
Questions to ask:
- What technical tools do I want to do?
- What do I have installed on my system and what do I need to add?
- Which questions do I want to ask and what datasets do I want to work on?
HowTos:
Datasets
- Reddit: pushshift.io
.
Endnoten