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Python skills for research in Hydrology/Climate science

This repository contains a series of notebooks used in courses to introduce scientific Python to Hydrology students at the Vrije Universiteit Amsterdam. This series includes notebooks on basic Python skills, working with spatial data and time series analysis and has been created by Sem Vijverberg and Timothy Tiggeloven.

Run

To run the notebooks in the cloud using Binder(https://mybinder.org) click on this badge: Binder

Install Python on local computer

To look at a tutorial video of the steps described below, click on the link here: https://video.vu.nl/media/1_wdgv3zl8

To run the notebooks locally you need to have python installed. We strongly recommend to install Python sooner then later. The whole procedure should take around 15-20 minutes. To install Python, we advice to use a Miniconda (https://docs.conda.io/en/latest/miniconda.html) distribution. Install the Python 3.8 64 bit for your OS (MACOSX or Windows). When opening your terminal, you can now use 'conda' functionality manage your Python installation (creating environments and installing packages).

  • Mac has a terminal by default, you can open via spotlight (cmd+space) and then type terminal, press enter.
  • For Windows installing miniconda will come with a small programm called Anaconda prompt. In this prompt you are able to use the conda commands.

Next, open the terminal** and create a new conda environment. The environment_local.yml (likely) contains the packages that you will need for all the tutorials and practicums that you will do during your studies. After you installed Miniconda, download this yml file, move to the directory where you downloaded the yml (use the command 'cd' for this), and type the following in you terminal conda env create -f environment_local.yml.

We have named the environment 'hydro'. Activate the conda environment by typing: conda activate hydro

Next, to use the variable inspector extension for Jupyter Lab, type the following command in your terminal: jupyter labextension install @lckr/jupyterlab_variableinspector. This will allow you to right-click on cells (open variable inspector) and visually explore variables.

After installation, download the repository from Github or the practicum documents, open the terminal and go to the folder that you downloaded, then type (and wait a few seconds, the notebook will launch in your default internet browser): jupyter lab

If you want to know more about how to install or update packages, you can take a look at the following site: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/

Additional notes: To open other user interface (such as spyder for example), the procedure is the same as for the jupyter lab, except that you hae to write spyder

** In Macs, the terminal is already installed by default, so you should just search for this instead of conda terminal

About

This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc...

Resources

Readme
License
Activity

Stars

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Repository files navigation
Python skills for research in Hydrology/Climate science
This repository contains a series of notebooks used in courses to introduce scientific Python to Hydrology students at the Vrije Universiteit Amsterdam. This series includes notebooks on basic Python skills, working with spatial data and time series analysis and has been created by Sem Vijverberg and Timothy Tiggeloven.
Run
To run the notebooks in the cloud using Binder(https://mybinder.org) click on this badge:
Binder
Install Python on local computer
To look at a tutorial video of the steps described below, click on the link here: https://video.vu.nl/media/1_wdgv3zl8
To run the notebooks locally you need to have python installed. We strongly recommend to install Python sooner then later. The whole procedure should take around 15-20 minutes. To install Python, we advice to use a Miniconda (https://docs.conda.io/en/latest/miniconda.html) distribution. Install the Python 3.8 64 bit for your OS (MACOSX or Windows).
When opening your terminal, you can now use 'conda' functionality manage your Python installation (creating environments and installing packages).
  • Mac has a terminal by default, you can open via spotlight (cmd+space) and then type terminal, press enter.
  • For Windows installing miniconda will come with a small programm called Anaconda prompt. In this prompt you are able to use the conda commands.
Next, open the terminal** and create a new conda environment. The environment_local.yml (likely) contains the packages that you will need for all the tutorials and practicums that you will do during your studies. After you installed Miniconda, download this yml file, move to the directory where you downloaded the yml (use the command 'cd' for this), and type the following in you terminal
conda env create -f environment_local.yml.
We have named the environment 'hydro'. Activate the conda environment by typing:
conda activate hydro
Next, to use the variable inspector extension for Jupyter Lab, type the following command in your terminal: jupyter labextension install @lckr/jupyterlab_variableinspector.
This will allow you to right-click on cells (open variable inspector) and visually explore variables.
After installation, download the repository from Github or the practicum documents, open the terminal and go to the folder that you downloaded, then type (and wait a few seconds, the notebook will launch in your default internet browser):
jupyter lab
If you want to know more about how to install or update packages, you can take a look at the following site: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/
Additional notes: To open other user interface (such as spyder for example), the procedure is the same as for the jupyter lab, except that you hae to write spyder
** In Macs, the terminal is already installed by default, so you should just search for this instead of conda terminal
About
This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc... 
Resources
Readme
License
Activity
Stars
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0 watching
Forks
1 fork
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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1_0_netcdf_tutorial.ipynb
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1_1_netcdf_advanced_tutorial.ipynb
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Repository files navigation
Python skills for research in Hydrology/Climate science
This repository contains a series of notebooks used in courses to introduce scientific Python to Hydrology students at the Vrije Universiteit Amsterdam. This series includes notebooks on basic Python skills, working with spatial data and time series analysis and has been created by Sem Vijverberg and Timothy Tiggeloven.
Run
To run the notebooks in the cloud using Binder(https://mybinder.org) click on this badge:
Binder
Install Python on local computer
To look at a tutorial video of the steps described below, click on the link here: https://video.vu.nl/media/1_wdgv3zl8
To run the notebooks locally you need to have python installed. We strongly recommend to install Python sooner then later. The whole procedure should take around 15-20 minutes. To install Python, we advice to use a Miniconda (https://docs.conda.io/en/latest/miniconda.html) distribution. Install the Python 3.8 64 bit for your OS (MACOSX or Windows).
When opening your terminal, you can now use 'conda' functionality manage your Python installation (creating environments and installing packages).
  • Mac has a terminal by default, you can open via spotlight (cmd+space) and then type terminal, press enter.
  • For Windows installing miniconda will come with a small programm called Anaconda prompt. In this prompt you are able to use the conda commands.
Next, open the terminal** and create a new conda environment. The environment_local.yml (likely) contains the packages that you will need for all the tutorials and practicums that you will do during your studies. After you installed Miniconda, download this yml file, move to the directory where you downloaded the yml (use the command 'cd' for this), and type the following in you terminal
conda env create -f environment_local.yml.
We have named the environment 'hydro'. Activate the conda environment by typing:
conda activate hydro
Next, to use the variable inspector extension for Jupyter Lab, type the following command in your terminal: jupyter labextension install @lckr/jupyterlab_variableinspector.
This will allow you to right-click on cells (open variable inspector) and visually explore variables.
After installation, download the repository from Github or the practicum documents, open the terminal and go to the folder that you downloaded, then type (and wait a few seconds, the notebook will launch in your default internet browser):
jupyter lab
If you want to know more about how to install or update packages, you can take a look at the following site: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/
Additional notes: To open other user interface (such as spyder for example), the procedure is the same as for the jupyter lab, except that you hae to write spyder
** In Macs, the terminal is already installed by default, so you should just search for this instead of conda terminal
About
This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc... 
Resources
Readme
License
Activity
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1 fork
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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0_2_python_Numpy_and_for_loops.ipynb
0_3_python_definitions_and_classes.ipynb
0_3_python_definitions_and_classes.ipynb
1_0_netcdf_tutorial.ipynb
1_0_netcdf_tutorial.ipynb
1_1_netcdf_advanced_tutorial.ipynb
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2_shapefiles_tutorial.ipynb
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Repository files navigation
Python skills for research in Hydrology/Climate science
This repository contains a series of notebooks used in courses to introduce scientific Python to Hydrology students at the Vrije Universiteit Amsterdam. This series includes notebooks on basic Python skills, working with spatial data and time series analysis and has been created by Sem Vijverberg and Timothy Tiggeloven.
Run
To run the notebooks in the cloud using Binder(https://mybinder.org) click on this badge:
Binder
Install Python on local computer
To look at a tutorial video of the steps described below, click on the link here: https://video.vu.nl/media/1_wdgv3zl8
To run the notebooks locally you need to have python installed. We strongly recommend to install Python sooner then later. The whole procedure should take around 15-20 minutes. To install Python, we advice to use a Miniconda (https://docs.conda.io/en/latest/miniconda.html) distribution. Install the Python 3.8 64 bit for your OS (MACOSX or Windows).
When opening your terminal, you can now use 'conda' functionality manage your Python installation (creating environments and installing packages).
  • Mac has a terminal by default, you can open via spotlight (cmd+space) and then type terminal, press enter.
  • For Windows installing miniconda will come with a small programm called Anaconda prompt. In this prompt you are able to use the conda commands.
Next, open the terminal** and create a new conda environment. The environment_local.yml (likely) contains the packages that you will need for all the tutorials and practicums that you will do during your studies. After you installed Miniconda, download this yml file, move to the directory where you downloaded the yml (use the command 'cd' for this), and type the following in you terminal
conda env create -f environment_local.yml.
We have named the environment 'hydro'. Activate the conda environment by typing:
conda activate hydro
Next, to use the variable inspector extension for Jupyter Lab, type the following command in your terminal: jupyter labextension install @lckr/jupyterlab_variableinspector.
This will allow you to right-click on cells (open variable inspector) and visually explore variables.
After installation, download the repository from Github or the practicum documents, open the terminal and go to the folder that you downloaded, then type (and wait a few seconds, the notebook will launch in your default internet browser):
jupyter lab
If you want to know more about how to install or update packages, you can take a look at the following site: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/
Additional notes: To open other user interface (such as spyder for example), the procedure is the same as for the jupyter lab, except that you hae to write spyder
** In Macs, the terminal is already installed by default, so you should just search for this instead of conda terminal
About
This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc... 
Resources
Readme
License
Activity
Stars
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1 fork
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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0_2_python_Numpy_and_for_loops.ipynb
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1_0_netcdf_tutorial.ipynb
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Repository files navigation
Python skills for research in Hydrology/Climate science
This repository contains a series of notebooks used in courses to introduce scientific Python to Hydrology students at the Vrije Universiteit Amsterdam. This series includes notebooks on basic Python skills, working with spatial data and time series analysis and has been created by Sem Vijverberg and Timothy Tiggeloven.
Run
To run the notebooks in the cloud using Binder(https://mybinder.org) click on this badge:
Binder
Install Python on local computer
To look at a tutorial video of the steps described below, click on the link here: https://video.vu.nl/media/1_wdgv3zl8
To run the notebooks locally you need to have python installed. We strongly recommend to install Python sooner then later. The whole procedure should take around 15-20 minutes. To install Python, we advice to use a Miniconda (https://docs.conda.io/en/latest/miniconda.html) distribution. Install the Python 3.8 64 bit for your OS (MACOSX or Windows).
When opening your terminal, you can now use 'conda' functionality manage your Python installation (creating environments and installing packages).
  • Mac has a terminal by default, you can open via spotlight (cmd+space) and then type terminal, press enter.
  • For Windows installing miniconda will come with a small programm called Anaconda prompt. In this prompt you are able to use the conda commands.
Next, open the terminal** and create a new conda environment. The environment_local.yml (likely) contains the packages that you will need for all the tutorials and practicums that you will do during your studies. After you installed Miniconda, download this yml file, move to the directory where you downloaded the yml (use the command 'cd' for this), and type the following in you terminal
conda env create -f environment_local.yml.
We have named the environment 'hydro'. Activate the conda environment by typing:
conda activate hydro
Next, to use the variable inspector extension for Jupyter Lab, type the following command in your terminal: jupyter labextension install @lckr/jupyterlab_variableinspector.
This will allow you to right-click on cells (open variable inspector) and visually explore variables.
After installation, download the repository from Github or the practicum documents, open the terminal and go to the folder that you downloaded, then type (and wait a few seconds, the notebook will launch in your default internet browser):
jupyter lab
If you want to know more about how to install or update packages, you can take a look at the following site: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/
Additional notes: To open other user interface (such as spyder for example), the procedure is the same as for the jupyter lab, except that you hae to write spyder
** In Macs, the terminal is already installed by default, so you should just search for this instead of conda terminal
About
This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc... 
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
1 fork
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Python skills for research in Hydrology/Climate science
This repository contains a series of notebooks used in courses to introduce scientific Python to Hydrology students at the Vrije Universiteit Amsterdam. This series includes notebooks on basic Python skills, working with spatial data and time series analysis and has been created by Sem Vijverberg and Timothy Tiggeloven.
Run
To run the notebooks in the cloud using Binder(https://mybinder.org) click on this badge:
Binder
Install Python on local computer
To look at a tutorial video of the steps described below, click on the link here: https://video.vu.nl/media/1_wdgv3zl8
To run the notebooks locally you need to have python installed. We strongly recommend to install Python sooner then later. The whole procedure should take around 15-20 minutes. To install Python, we advice to use a Miniconda (https://docs.conda.io/en/latest/miniconda.html) distribution. Install the Python 3.8 64 bit for your OS (MACOSX or Windows).
When opening your terminal, you can now use 'conda' functionality manage your Python installation (creating environments and installing packages).
  • Mac has a terminal by default, you can open via spotlight (cmd+space) and then type terminal, press enter.
  • For Windows installing miniconda will come with a small programm called Anaconda prompt. In this prompt you are able to use the conda commands.
Next, open the terminal** and create a new conda environment. The environment_local.yml (likely) contains the packages that you will need for all the tutorials and practicums that you will do during your studies. After you installed Miniconda, download this yml file, move to the directory where you downloaded the yml (use the command 'cd' for this), and type the following in you terminal
conda env create -f environment_local.yml.
We have named the environment 'hydro'. Activate the conda environment by typing:
conda activate hydro
Next, to use the variable inspector extension for Jupyter Lab, type the following command in your terminal: jupyter labextension install @lckr/jupyterlab_variableinspector.
This will allow you to right-click on cells (open variable inspector) and visually explore variables.
After installation, download the repository from Github or the practicum documents, open the terminal and go to the folder that you downloaded, then type (and wait a few seconds, the notebook will launch in your default internet browser):
jupyter lab
If you want to know more about how to install or update packages, you can take a look at the following site: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/
Additional notes: To open other user interface (such as spyder for example), the procedure is the same as for the jupyter lab, except that you hae to write spyder
** In Macs, the terminal is already installed by default, so you should just search for this instead of conda terminal
About
This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc... 
Resources
Readme
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1 fork
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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0_1_python_lists.ipynb
0_1_python_lists.ipynb
0_2_python_Numpy_and_for_loops.ipynb
0_2_python_Numpy_and_for_loops.ipynb
0_3_python_definitions_and_classes.ipynb
0_3_python_definitions_and_classes.ipynb
1_0_netcdf_tutorial.ipynb
1_0_netcdf_tutorial.ipynb
1_1_netcdf_advanced_tutorial.ipynb
1_1_netcdf_advanced_tutorial.ipynb
2_shapefiles_tutorial.ipynb
2_shapefiles_tutorial.ipynb
3_rasterio_tutorial.ipynb
3_rasterio_tutorial.ipynb
4_remote_sensing_tutorial.ipynb
4_remote_sensing_tutorial.ipynb
LICENSE
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README.md
README.md
environment.yml
environment.yml
environment_local.yml
environment_local.yml
Repository files navigation
Python skills for research in Hydrology/Climate science
This repository contains a series of notebooks used in courses to introduce scientific Python to Hydrology students at the Vrije Universiteit Amsterdam. This series includes notebooks on basic Python skills, working with spatial data and time series analysis and has been created by Sem Vijverberg and Timothy Tiggeloven.
Run
To run the notebooks in the cloud using Binder(https://mybinder.org) click on this badge:
Binder
Install Python on local computer
To look at a tutorial video of the steps described below, click on the link here: https://video.vu.nl/media/1_wdgv3zl8
To run the notebooks locally you need to have python installed. We strongly recommend to install Python sooner then later. The whole procedure should take around 15-20 minutes. To install Python, we advice to use a Miniconda (https://docs.conda.io/en/latest/miniconda.html) distribution. Install the Python 3.8 64 bit for your OS (MACOSX or Windows).
When opening your terminal, you can now use 'conda' functionality manage your Python installation (creating environments and installing packages).
  • Mac has a terminal by default, you can open via spotlight (cmd+space) and then type terminal, press enter.
  • For Windows installing miniconda will come with a small programm called Anaconda prompt. In this prompt you are able to use the conda commands.
Next, open the terminal** and create a new conda environment. The environment_local.yml (likely) contains the packages that you will need for all the tutorials and practicums that you will do during your studies. After you installed Miniconda, download this yml file, move to the directory where you downloaded the yml (use the command 'cd' for this), and type the following in you terminal
conda env create -f environment_local.yml.
We have named the environment 'hydro'. Activate the conda environment by typing:
conda activate hydro
Next, to use the variable inspector extension for Jupyter Lab, type the following command in your terminal: jupyter labextension install @lckr/jupyterlab_variableinspector.
This will allow you to right-click on cells (open variable inspector) and visually explore variables.
After installation, download the repository from Github or the practicum documents, open the terminal and go to the folder that you downloaded, then type (and wait a few seconds, the notebook will launch in your default internet browser):
jupyter lab
If you want to know more about how to install or update packages, you can take a look at the following site: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/
Additional notes: To open other user interface (such as spyder for example), the procedure is the same as for the jupyter lab, except that you hae to write spyder
** In Macs, the terminal is already installed by default, so you should just search for this instead of conda terminal
About
This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc... 
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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0_0_python_objects_and_datatypes.ipynb
0_1_python_lists.ipynb
0_1_python_lists.ipynb
0_2_python_Numpy_and_for_loops.ipynb
0_2_python_Numpy_and_for_loops.ipynb
0_3_python_definitions_and_classes.ipynb
0_3_python_definitions_and_classes.ipynb
1_0_netcdf_tutorial.ipynb
1_0_netcdf_tutorial.ipynb
1_1_netcdf_advanced_tutorial.ipynb
1_1_netcdf_advanced_tutorial.ipynb
2_shapefiles_tutorial.ipynb
2_shapefiles_tutorial.ipynb
3_rasterio_tutorial.ipynb
3_rasterio_tutorial.ipynb
4_remote_sensing_tutorial.ipynb
4_remote_sensing_tutorial.ipynb
LICENSE
LICENSE
README.md
README.md
environment.yml
environment.yml
environment_local.yml
environment_local.yml
Repository files navigation
Python skills for research in Hydrology/Climate science
This repository contains a series of notebooks used in courses to introduce scientific Python to Hydrology students at the Vrije Universiteit Amsterdam. This series includes notebooks on basic Python skills, working with spatial data and time series analysis and has been created by Sem Vijverberg and Timothy Tiggeloven.
Run
To run the notebooks in the cloud using Binder(https://mybinder.org) click on this badge:
Binder
Install Python on local computer
To look at a tutorial video of the steps described below, click on the link here: https://video.vu.nl/media/1_wdgv3zl8
To run the notebooks locally you need to have python installed. We strongly recommend to install Python sooner then later. The whole procedure should take around 15-20 minutes. To install Python, we advice to use a Miniconda (https://docs.conda.io/en/latest/miniconda.html) distribution. Install the Python 3.8 64 bit for your OS (MACOSX or Windows).
When opening your terminal, you can now use 'conda' functionality manage your Python installation (creating environments and installing packages).
  • Mac has a terminal by default, you can open via spotlight (cmd+space) and then type terminal, press enter.
  • For Windows installing miniconda will come with a small programm called Anaconda prompt. In this prompt you are able to use the conda commands.
Next, open the terminal** and create a new conda environment. The environment_local.yml (likely) contains the packages that you will need for all the tutorials and practicums that you will do during your studies. After you installed Miniconda, download this yml file, move to the directory where you downloaded the yml (use the command 'cd' for this), and type the following in you terminal
conda env create -f environment_local.yml.
We have named the environment 'hydro'. Activate the conda environment by typing:
conda activate hydro
Next, to use the variable inspector extension for Jupyter Lab, type the following command in your terminal: jupyter labextension install @lckr/jupyterlab_variableinspector.
This will allow you to right-click on cells (open variable inspector) and visually explore variables.
After installation, download the repository from Github or the practicum documents, open the terminal and go to the folder that you downloaded, then type (and wait a few seconds, the notebook will launch in your default internet browser):
jupyter lab
If you want to know more about how to install or update packages, you can take a look at the following site: https://www.marsja.se/learn-all-about-installing-updating-packages-in-python/
Additional notes: To open other user interface (such as spyder for example), the procedure is the same as for the jupyter lab, except that you hae to write spyder
** In Macs, the terminal is already installed by default, so you should just search for this instead of conda terminal
About
This repo contains tutorials from the basics of Python to more advanced usage, e.g. xarray, pandas, etc... 
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
1 fork
Report repository
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