This repository contains sample code, links and scripts for working with Google Cloud Platform (GCP) services. Included technologies are for storage, database, big data and more. This repository is designed to be used in conjunction with these LinkedIn Learning courses:
- 📚 "GCP Essentials" - link to course. This course is also named "Google Cloud Platform Essential Training for Administrators"
- 📚 "GCP Enterprise Essentials" - link to course
- 📚 "GCP Machine Learning Essentials" - link to course
- 📘 For more info about advanced topics, see the links in the
GCP-Essentials_Links.csvpage in this Repo
Examples use the GPC scripting tools (gcloud, gsutil, bq...) and sometimes also the Python API with the GCP SDK. You can work with GCP services in many programming langauges, such as Java, Go, Node and others. See this link for the GCP SDK to see examples for other programming languages: https://cloud.google.com/sdk/
Additionally, I have created other reporisitories and courses on GCP topics. These artifacts contains sample code and scripts for working with Google Cloud Platform services for bioinformatics use cases and also for machine learning.
- 📚 GCP-ML --> LIL_L course - for code samples for GCP machine learning see this repository: https://github.com/lynnlangit/gcp-ml
GCP-for-Bioinformatics --> Open source course - for links, screencasts, jupyter notebooks or example workflows (Terra/WDL, Nextflow/NF, Galaxy Project...) for bioinformatics use cases, see this repository: https://github.com/lynnlangit/gcp-for-bioinformatics