Merge pull request #4 from PVSC-Python-Tutorials/mikofski-colab

add colab to pydata

Tutorial 0 - Overview.ipynb

@@ -146,6 +146,16 @@
  "\n"
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
+ "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/pyData-2021-Solar-PV-Modeling/main/requirements.txt"
+ ]
+ },
  {
  "cell_type": "markdown",
  "metadata": {

Tutorial 1 - TMY Weather Data.ipynb

@@ -113,6 +113,16 @@
  "To get a better feel for TMY data, we'll first explore an example TMY dataset that is bundled with pvlib."
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
+ "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/pyData-2021-Solar-PV-Modeling/main/requirements.txt"
+ ]
+ },
  {
  "cell_type": "markdown",
  "metadata": {

Tutorial 2 - POA Irradiance.ipynb

@@ -75,6 +75,16 @@
  "As mentioned earlier, pvlib makes it easy to calculate POA irradiance. First, let's load in the example TMY dataset from the previous tutorial:"
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
+ "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/pyData-2021-Solar-PV-Modeling/main/requirements.txt"
+ ]
+ },
  {
  "cell_type": "code",
  "execution_count": 1,

Tutorial 3 - Array Power.ipynb

@@ -28,6 +28,16 @@
  "We'll read in weather data, run the irradiance transposition, and model cell temperature as in previous tutorials:"
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
+ "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/pyData-2021-Solar-PV-Modeling/main/requirements.txt"
+ ]
+ },
  {
  "cell_type": "code",
  "execution_count": 1,

Tutorial A - Single Diode Model.ipynb

@@ -13,6 +13,16 @@
  "\n"
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
+ "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/pyData-2021-Solar-PV-Modeling/main/requirements.txt"
+ ]
+ },
  {
  "cell_type": "code",
  "execution_count": 1,

Tutorial B - pvfree.ipynb

@@ -9,14 +9,24 @@
  "\n",
  "# Tutorial B - pvfree\n",
  "\n",
- "Another option to get CEC module parameters is to use [pvfree](https://pvfree.herokuapp.com). \n",
+ "Another option to get CEC module parameters is to use [pvfree](https://pvfree.azurewebsites.net/). \n",
  "\n",
  "<div class=\"alert alert-block alert-info\">\n",
- "<b>Let's Explore:</b> <a href='https://pvfree.herokuapp.com'> Click here to see the pvfree Website</a></div>\n",
+ "<b>Let's Explore:</b> <a href='https://pvfree.azurewebsites.net/'> Click here to see the pvfree Website</a></div>\n",
  "\n",
  "![pvfree_table](images/pvfree_table.png)\n",
  "\n",
- "You can search the table of the [CEC modules](https://pvfree.herokuapp.com/cec_modules/). Once you find the desired module, you can get a JSON dictionary of the CEC module parameters from the API. For example, [Canadian Solar Inc. CS5P-220M](https://pvfree.herokuapp.com/cec_modules/1733/) can be downloaded from the API here: https://pvfree.herokuapp.com/api/v1/cecmodule/1733/?format=json. You can copy and paste or use python to call the API. The API also has search filters you can use. For example: https://pvfree.herokuapp.com/api/v1/cecmodule/?format=json&Name__istartswith=canadian&STC__gt=219&STC__lt=221 searches for all modules starting with \"canadian\" and with nameplate between 219-W and 221-W which returns a list of 6 modules in a JSON dictionary. Limiting the short circuit currentl (Isc) to less than 6-A reduces this list to 2 modules."
+ "You can search the table of the [CEC modules](https://pvfree.azurewebsites.net/cec_modules/). Once you find the desired module, you can get a JSON dictionary of the CEC module parameters from the API. For example, [Canadian Solar Inc. CS5P-220M](https://pvfree.azurewebsites.net/cec_modules/1733/) can be downloaded from the API here: https://pvfree.azurewebsites.net/api/v1/cecmodule/1733/?format=json. You can copy and paste or use python to call the API. The API also has search filters you can use. For example: https://pvfree.azurewebsites.net/api/v1/cecmodule/?format=json&Name__istartswith=canadian&STC__gt=219&STC__lt=221 searches for all modules starting with \"canadian\" and with nameplate between 219-W and 221-W which returns a list of 6 modules in a JSON dictionary. Limiting the short circuit currentl (Isc) to less than 6-A reduces this list to 2 modules."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
+ "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/pyData-2021-Solar-PV-Modeling/main/requirements.txt"
  ]
  },
  {
@@ -107,7 +117,7 @@
  " 'Name__istartswith': 'canadian',\n",
  " 'STC__gt': 219, 'STC__lt': 221,\n",
  " 'I_sc_ref__lt': 6})\n",
- "with urllib.request.urlopen(f'https://pvfree.herokuapp.com/api/v1/cecmodule/?{params}') as fp:\n",
+ "with urllib.request.urlopen(f'https://pvfree.azurewebsites.net/api/v1/cecmodule/?{params}') as fp:\n",
  " cs_220_mods = json.load(fp)\n",
  "print(f\"Total count of Canadian Solar 220-W with Isc < 6A: {cs_220_mods['meta']['total_count']}\")\n",
  "cs_220_mods['objects']"

Tutorial C - Modeling Module's Performance Advanced.ipynb

@@ -91,6 +91,16 @@
  "Attribution: [NREL Dobos, Freeman 2019](https://www.nrel.gov/docs/fy19osti/68637.pdf)"
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
+ "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/pyData-2021-Solar-PV-Modeling/main/requirements.txt"
+ ]
+ },
  {
  "cell_type": "code",
  "execution_count": 1,

Tutorial D - pySAM Modeling the Bifacial Tracker Field at NREL.ipynb

@@ -18,6 +18,17 @@
  " "
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a1ada6cc-8ed9-4568-8959-111d81ef4e9d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
+ "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/pyData-2021-Solar-PV-Modeling/main/requirements.txt"
+ ]
+ },
  {
  "cell_type": "code",
  "execution_count": 1,

_config.yml

@@ -33,3 +33,4 @@ html:
 
 launch_buttons:
  thebe: true
+ colab_url: "https://colab.research.google.com"