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training:ds:2025:introtofair [2025/08/28 12:53] – Chaging the conda link Didier Barradas Bautistatraining:ds:2025:introtofair [2025/09/04 07:18] (current) – add registration link Didier Barradas Bautista
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 <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1> <fs:26px>** Register**</fs> <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1> <fs:26px>** Register**</fs>
  
-<wrap em button> [[  |Register Here]] </wrap> \\+<wrap em button> [[  https://kaustforms.formstack.com/forms/conda_25_fall|Register Here]] </wrap> \\
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
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  <fs:26px>** Workshop Materials**</fs>  <fs:26px>** Workshop Materials**</fs>
   * Material to work:[[https://carpentries-incubator.github.io/introduction-to-conda-for-data-scientists/|Conda]]   * Material to work:[[https://carpentries-incubator.github.io/introduction-to-conda-for-data-scientists/|Conda]]
-  * Slides:[[https://kaust-my.sharepoint.com/:p:/g/personal/barradd_kaust_edu_sa/EU7Z-N4ZlDZLrOgV1c3x1QQBjmNnu9XABzu82BjEsye1OA?e=reQ6V6|here]]+  * Slides CONDA :[[https://kaust-my.sharepoint.com/:p:/g/personal/barradd_kaust_edu_sa/EYyXPZwMbv9Pqx9V3YxH4okBBDohnlV67ZNw7BwDp4cUog?e=UCv8UU| Here]] 
 +  * [[https://www.youtube.com/playlist?list=PLrRaxjvn6FDVxKMHqsksxSRAnQCVq-iPI| FAIRmat Tutorial 16 Video ]] 
 +  * Slides FAIR : [[https://github.com/TheOldGogo/FAIRmat-tutorial-16/tree/main/tutorial_16_materials/all_slides | Here ]]
      
 /* /*
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 <WRAP center round box todo 100%> <WRAP center round box todo 100%>
  <fs:26px>**🧪 How to Prepare **</fs>  <fs:26px>**🧪 How to Prepare **</fs>
-  * Slides: [[ https://kaust-my.sharepoint.com/:p:/g/personal/barradd_kaust_edu_sa/EbbWFvoOgpdGpSe9EES81JABGigqvE_LQlVyx9ihEfRqiQ?e=Rf3JUy | Here]] +/*  * Slides: [[ https://kaust-my.sharepoint.com/:p:/g/personal/barradd_kaust_edu_sa/EbbWFvoOgpdGpSe9EES81JABGigqvE_LQlVyx9ihEfRqiQ?e=Rf3JUy | Here]] 
-/*  * Here is the [[https://wiki.vis.kaust.edu.sa/dstools#ibex_starting_pack| Ibex Starting Pack]]+  * Here is the [[https://wiki.vis.kaust.edu.sa/dstools#ibex_starting_pack| Ibex Starting Pack]]
   * You can consult reading the  [[https://docs.hpc.kaust.edu.sa/| KSL documentation]] */   * You can consult reading the  [[https://docs.hpc.kaust.edu.sa/| KSL documentation]] */
   * Read: [[https://www.go-fair.org/fair-principles/|GO FAIR Principles]]   * Read: [[https://www.go-fair.org/fair-principles/|GO FAIR Principles]]
  
 ===== 💼 Bring With You ===== ===== 💼 Bring With You =====
-  * Laptop +  * Laptop with internet connection 
-  * ORCID ID +  * [[https://nomad-lab.eu/prod/v1/gui/about/information| NOMAD]] ID account
-  * GitHub account+
   * Curiosity and questions!   * Curiosity and questions!
  
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   * Here is the material we will follow :[[https://swcarpentry.github.io/python-novice-gapminder/|Python novice]].   * Here is the material we will follow :[[https://swcarpentry.github.io/python-novice-gapminder/|Python novice]].
   * Local Setup : [[https://kaust-vislab.github.io/2024-09-26-kaust-vislab/#setup]|Here]].   * Local Setup : [[https://kaust-vislab.github.io/2024-09-26-kaust-vislab/#setup]|Here]].
-  * **KAUSTians you will be able to use:**+  * **KAUSTians, you will be able to use:**
   * The [[https://classhub.kaust.edu.sa/course/ids/| Classhub]], please create a [[https://github.com/ |GitHub ]] account in order to use it   * The [[https://classhub.kaust.edu.sa/course/ids/| Classhub]], please create a [[https://github.com/ |GitHub ]] account in order to use it
   * [[https://jupyter.kaust.edu.sa/hub/login | JupyterHub]], , use your portal credentials to login   * [[https://jupyter.kaust.edu.sa/hub/login | JupyterHub]], , use your portal credentials to login
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 ===== 🎯 Workshop Goals ===== ===== 🎯 Workshop Goals =====
-Learn - on an example: NOMAD - what **FAIR** data is, and tools that enable to create FAIR data, or convert data to FAIR data:+🔹 Conda Workshop Goals: 
 +  * 🧰  Learn to **manage packages** and environments with Conda.  
 +  * 🔁  **Build** reproducible workflows for data science projects. 
 +  * 🌐  **Use** Conda across multiple programming languages. 
 +  * 📦  **Share** project-specific environments for collaboration. 
 +  * 📊  **Strengthen** core data science skills at KAUST and in KSA. 
 + 
 + 
 +🔹 Learn - on an example: NOMAD - what **FAIR** data is, and tools that enable to create FAIR data, or convert data to FAIR data:
   * 🔍 **Findable** – Metadata, indexing, and persistent identifiers   * 🔍 **Findable** – Metadata, indexing, and persistent identifiers
   * 🗂️ **Accessible** – Open formats, licensing, and repositories   * 🗂️ **Accessible** – Open formats, licensing, and repositories
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 ===== 📚 What You'll Learn ===== ===== 📚 What You'll Learn =====
 +🧠 From Conda
 +  * 🧰 Create and manage environments
 +  * 📦 Install and update packages
 +  * 🔁 Ensure reproducibility
 +  * 🌐 Work across languages
 +  * 📤 Share setups with others
  
-  * 🔍  – Create a dataset with persistent identifiers  +🧠 From FAIR/NOMAD 
-  * 🗂️  – Share a dataset with the community while giving proper credit to contributors (including you) +  * 🔍  Create a dataset with persistent identifiers  
-  * 🔗  – Conversion of data into a standard community-used format +  * 🗂️  Share a dataset with the community while giving proper credit to contributors (including you) 
-  * 🔁  – Retrieve data and information from a discipline repository. Use and design of Electronic Laboratory Notebooks (ELNs) for proper documentation+  * 🔗  Conversion of data into a standard community-used format 
 +  * 🔁  Retrieve data and information from a discipline repository. Use and design of Electronic Laboratory Notebooks (ELNs) for proper documentation
  
  
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 ^Time  ^Topic| ^Time  ^Topic|
-^09:00 |Navigating files and directories   | +^09:00 |Introduction to Conda   | 
-^09:30 |Working with files and directories | +^09:30 |Working with Environments | 
-^10:00 |Pipes and filters                  | +^10:00 |Using Packages and Channels | 
-^11:00 |Loops                              | +^10:30 |Sharing Environments   | 
-^12:00 |Shell scripting                    |+^11:00 |Introduction to FAIR data and NOMAD   | 
 +^11:20 |Exploring NOMAD entries, use NOMAD data | 
 +^11:40 |Upload data and create datasets                  | 
 +^12:00 |FAIR Data automation and examples                             | 
 + 
  
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