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GeezerVison is showing github.com — GitHub - PV-Tutorials/PVSC48-Python-Tutorial: PVSC48 computing tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz

This repository was archived by the owner on Oct 31, 2023. It is now read-only.
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.github/workflows
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images
 
 
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
Tutorial 0 - Overview.ipynb
Tutorial 0 - Overview.ipynb
 
 
Tutorial 1 - TMY Weather Data.ipynb
Tutorial 1 - TMY Weather Data.ipynb
 
 
Tutorial 2 - POA Irradiance.ipynb
Tutorial 2 - POA Irradiance.ipynb
 
 
Tutorial 3 - Module Temperature.ipynb
Tutorial 3 - Module Temperature.ipynb
 
 
Tutorial 4 - Model a Module's Performance.ipynb
Tutorial 4 - Model a Module's Performance.ipynb
 
 
Tutorial 5 - Array Power.ipynb
Tutorial 5 - Array Power.ipynb
 
 
Tutorial A - Single Diode Model.ipynb
Tutorial A - Single Diode Model.ipynb
 
 
Tutorial B - pvfree.ipynb
Tutorial B - pvfree.ipynb
 
 
_config.yml
_config.yml
 
 
_toc.yml
_toc.yml
 
 
requirements.txt
requirements.txt
 
 

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tutorialpromo

PVSC48-Python-Tutorial

PVSC48 computing tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz

Tutorial Summary:

  • Tutorial 0: Introduction to the tutorial, the lesson plan, and resources (~30 minutes)
  • Tutorial 1: Access TMY weather data and visualize monthly irradiance data (~30 minutes)
  • Tutorial 2: Calculate solar position, plane-of-array irradiance, and visualize average daily insolation (30 minutes)
  • Tutorial 3: Estimate module temperature from ambient (~20 minutes)
  • Tutorial 4: Use POA irradiance and module temperature to model output power from a single module (~20 minutes)
  • Tutorial 5: Combine modules to form strings, calculate inverter efficiency and total array output (~independent study)
  • Tutorials Appendices: More tutorials on a variety of fun topics (~independent study)

Tutorial Setup

These tutorials are designed to run on Jupyter, a browser based interactive notebook that allows you to run the tutorial in the cloud without any additional setup. On the day of the tutorial, you can log into the tutorial here.

THIS IS A 2-STEP PROCESS

  • STEP 1: click this --> https://pvsc-python-tutorial.eastus.cloudapp.azure.com/
  • STEP 2: click this --> https://pvsc-python-tutorial.eastus.cloudapp.azure.com/hub/user-redirect/git-pull?repo=https://github.com/PVSC-Python-Tutorials/PVSC48-Python-Tutorial&branch=main

The first time you visit the tutorial, you will need to create an account. Use any username and password you like.

jupyter login

The first time you log into the tutorial, you will only see the scratch and shared-data folders.

first login

After you log in, you need to download the tutorial from this GitHub repository by following this link:

You only need to download the repository once, but you can always use either link to start the tutorial during the conference. From now on you will see the PVSC48-Python-Tutorial folder in the list.

download tutorial

Click the folder to open, and you'll see the full list. Click Tutorial 0 - Overview.ipynb to get started.

full list of tutorials

Sometimes, if you are idle too long, the tutorial dies. Just click the link to the tutorial again to reconnect.

https://pvsc-python-tutorial.eastus.cloudapp.azure.com/

Jupyter Book docs

The full tutorial is now also hosted as a beautiful Jupyter book. This book has navigation, search, and can even run code cells interactively. Check it out!

https://pvsc-python-tutorials.github.io/PVSC48-Python-Tutorial/index.html

My Binder

After the conference the tutorials will remain available here on GitHub, and you can run the tutorial anytime in Binder by clicking the following link:

Binder

Locally

You can also run the tutorial locally with miniconda by following thes steps:

  1. Install miniconda.

  2. Clone the repository:

    git clone https://github.com/PVSC-Python-Tutorials/PVSC48-Python-Tutorial.git
    
  3. Create the environment and install the requirements. The repository includes a requirements.txt file that contains a list the packages needed to run this tutorial. To install them using conda run:

    conda create -n pvsc48 jupyter -c pvlib --file requirements.txt
    conda activate pvsc48
    
  4. Start a Jupyter session:

    jupyter notebook
    
  5. Use the file explorer in Jupyter lab to browse to PVSC48-Python-Tutorial and start the first Tutorial.

Licensing

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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PVSC48 computing tutorial with focus on PV computing packages, Python, data wrangling with Pandas, and data viz

pvsc-python-tutorials.github.io/PVSC48-Python-Tutorial/index.html

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energyphotovoltaicspvlibpythonsolartutorials

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