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IfSharp, Jupyter and F# Azure Notebooks

This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.

You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.

Build status: Build status (master/Windows) Build Status (master/Travis)

Compatibility

IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X

If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive

Automatic Installation

Previous releases for the IPython notebook are here: release repository. Automatic installs for Jupyter will be provided in the future.

Running inside a Docker container

There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container. Build the container with:

docker build -t ifsharp:3.0.0-alpha .

Run it with:

docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha

The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.

Manual Installation (Windows)

  1. Download Anaconda for Python 3.6
  2. Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit) Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.

This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.

Installation screenshot

  1. Download current zip release of IfSharp v3.0.0-beta2
  2. Run IfSharp.exe (IfSharp application icon).

Jupyter with IfSharp can be run via "jupyter notebook" in future

Troubleshooting

If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-

Manual Installation (Mac)

  1. Install Anaconda
  2. Install Jupyter
  3. Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
  4. Download current zip release v3.0.0-beta2
  5. Unzip the release then run mono IfSharp.exe
  6. Run jupyter notebook

Manual Installation (Linux)

  1. Install Jupyter via pip or Anaconda etc.
  2. Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
  3. Download the current IfSharp zip release v3.0.0-beta1
  4. Unzip the release to a safe place such as ~/opt/ifsharp.
  5. Run mono ~/opt/ifsharp/IfSharp.exe to set up the jupyter config files in ~/.jupyter/ and ~/.local/share/jupyter/kernels/ifsharp/.
  6. (For XPlot) From the install directory ~/opt/ run mono paket.bootstrapper.exe then mono paket.exe install
  7. Run jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.

Screens

Intellisense

Intellisense Example #1

Intellisense Example #2

Intellisense Example #4 #r Directive

Intellisense Example #5 #load Directive

Integrated NuGet

NuGet Example

Inline Error Messages

Inline Error Message

About

F# Profile for iPython Notebook 1.x and 2.x

Resources

Readme
License
Activity

Stars

0 stars

Watchers

1 watching

Forks

3 forks
Report repository

Releases

Packages

Contributors

Languages

, '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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IfSharp, Jupyter and F# Azure Notebooks
This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.
You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.
Build status: Build status (master/Windows) Build Status (master/Travis)
Compatibility
IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X
If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive
Automatic Installation
Previous releases for the IPython notebook are here: release repository.
Automatic installs for Jupyter will be provided in the future.
Running inside a Docker container
There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container.
Build the container with:
docker build -t ifsharp:3.0.0-alpha .
Run it with:
docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha
The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.
Manual Installation (Windows)
  1. Download Anaconda for Python 3.6
  2. Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit)
Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.
This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.
Installation screenshot
  1. Download current zip release of IfSharp v3.0.0-beta2
  2. Run IfSharp.exe (IfSharp application icon).
Jupyter with IfSharp can be run via "jupyter notebook" in future
Troubleshooting
If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-
Manual Installation (Mac)
  1. Install Anaconda
  2. Install Jupyter
  3. Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
  4. Download current zip release v3.0.0-beta2
  5. Unzip the release then run mono IfSharp.exe
  6. Run jupyter notebook
Manual Installation (Linux)
  1. Install Jupyter via pip or Anaconda etc.
  2. Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
  3. Download the current IfSharp zip release v3.0.0-beta1
  4. Unzip the release to a safe place such as ~/opt/ifsharp.
  5. Run mono ~/opt/ifsharp/IfSharp.exe to set up the jupyter config files in ~/.jupyter/ and ~/.local/share/jupyter/kernels/ifsharp/.
  6. (For XPlot) From the install directory ~/opt/ run mono paket.bootstrapper.exe then mono paket.exe install
  7. Run jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.
Screens
Intellisense
Intellisense Example #1
Intellisense Example #2
Intellisense Example #4 #r Directive
Intellisense Example #5 #load Directive
Integrated NuGet
NuGet Example
Inline Error Messages
Inline Error Message
About
F# Profile for iPython Notebook 1.x and 2.x
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
IfSharp, Jupyter and F# Azure Notebooks
This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.
You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.
Build status: Build status (master/Windows) Build Status (master/Travis)
Compatibility
IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X
If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive
Automatic Installation
Previous releases for the IPython notebook are here: release repository.
Automatic installs for Jupyter will be provided in the future.
Running inside a Docker container
There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container.
Build the container with:
docker build -t ifsharp:3.0.0-alpha .
Run it with:
docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha
The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.
Manual Installation (Windows)
  1. Download Anaconda for Python 3.6
  2. Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit)
Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.
This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.
Installation screenshot
  1. Download current zip release of IfSharp v3.0.0-beta2
  2. Run IfSharp.exe (IfSharp application icon).
Jupyter with IfSharp can be run via "jupyter notebook" in future
Troubleshooting
If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-
Manual Installation (Mac)
  1. Install Anaconda
  2. Install Jupyter
  3. Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
  4. Download current zip release v3.0.0-beta2
  5. Unzip the release then run mono IfSharp.exe
  6. Run jupyter notebook
Manual Installation (Linux)
  1. Install Jupyter via pip or Anaconda etc.
  2. Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
  3. Download the current IfSharp zip release v3.0.0-beta1
  4. Unzip the release to a safe place such as ~/opt/ifsharp.
  5. Run mono ~/opt/ifsharp/IfSharp.exe to set up the jupyter config files in ~/.jupyter/ and ~/.local/share/jupyter/kernels/ifsharp/.
  6. (For XPlot) From the install directory ~/opt/ run mono paket.bootstrapper.exe then mono paket.exe install
  7. Run jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.
Screens
Intellisense
Intellisense Example #1
Intellisense Example #2
Intellisense Example #4 #r Directive
Intellisense Example #5 #load Directive
Integrated NuGet
NuGet Example
Inline Error Messages
Inline Error Message
About
F# Profile for iPython Notebook 1.x and 2.x
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
IfSharp, Jupyter and F# Azure Notebooks
This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.
You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.
Build status: Build status (master/Windows) Build Status (master/Travis)
Compatibility
IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X
If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive
Automatic Installation
Previous releases for the IPython notebook are here: release repository.
Automatic installs for Jupyter will be provided in the future.
Running inside a Docker container
There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container.
Build the container with:
docker build -t ifsharp:3.0.0-alpha .
Run it with:
docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha
The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.
Manual Installation (Windows)
  1. Download Anaconda for Python 3.6
  2. Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit)
Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.
This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.
Installation screenshot
  1. Download current zip release of IfSharp v3.0.0-beta2
  2. Run IfSharp.exe (IfSharp application icon).
Jupyter with IfSharp can be run via "jupyter notebook" in future
Troubleshooting
If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-
Manual Installation (Mac)
  1. Install Anaconda
  2. Install Jupyter
  3. Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
  4. Download current zip release v3.0.0-beta2
  5. Unzip the release then run mono IfSharp.exe
  6. Run jupyter notebook
Manual Installation (Linux)
  1. Install Jupyter via pip or Anaconda etc.
  2. Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
  3. Download the current IfSharp zip release v3.0.0-beta1
  4. Unzip the release to a safe place such as ~/opt/ifsharp.
  5. Run mono ~/opt/ifsharp/IfSharp.exe to set up the jupyter config files in ~/.jupyter/ and ~/.local/share/jupyter/kernels/ifsharp/.
  6. (For XPlot) From the install directory ~/opt/ run mono paket.bootstrapper.exe then mono paket.exe install
  7. Run jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.
Screens
Intellisense
Intellisense Example #1
Intellisense Example #2
Intellisense Example #4 #r Directive
Intellisense Example #5 #load Directive
Integrated NuGet
NuGet Example
Inline Error Messages
Inline Error Message
About
F# Profile for iPython Notebook 1.x and 2.x
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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" + '

Skip to content
BranchesTags
Repository files navigation
IfSharp, Jupyter and F# Azure Notebooks
This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.
You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.
Build status: Build status (master/Windows) Build Status (master/Travis)
Compatibility
IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X
If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive
Automatic Installation
Previous releases for the IPython notebook are here: release repository.
Automatic installs for Jupyter will be provided in the future.
Running inside a Docker container
There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container.
Build the container with:
docker build -t ifsharp:3.0.0-alpha .
Run it with:
docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha
The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.
Manual Installation (Windows)
  1. Download Anaconda for Python 3.6
  2. Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit)
Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.
This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.
Installation screenshot
  1. Download current zip release of IfSharp v3.0.0-beta2
  2. Run IfSharp.exe (IfSharp application icon).
Jupyter with IfSharp can be run via "jupyter notebook" in future
Troubleshooting
If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-
Manual Installation (Mac)
  1. Install Anaconda
  2. Install Jupyter
  3. Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
  4. Download current zip release v3.0.0-beta2
  5. Unzip the release then run mono IfSharp.exe
  6. Run jupyter notebook
Manual Installation (Linux)
  1. Install Jupyter via pip or Anaconda etc.
  2. Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
  3. Download the current IfSharp zip release v3.0.0-beta1
  4. Unzip the release to a safe place such as ~/opt/ifsharp.
  5. Run mono ~/opt/ifsharp/IfSharp.exe to set up the jupyter config files in ~/.jupyter/ and ~/.local/share/jupyter/kernels/ifsharp/.
  6. (For XPlot) From the install directory ~/opt/ run mono paket.bootstrapper.exe then mono paket.exe install
  7. Run jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.
Screens
Intellisense
Intellisense Example #1
Intellisense Example #2
Intellisense Example #4 #r Directive
Intellisense Example #5 #load Directive
Integrated NuGet
NuGet Example
Inline Error Messages
Inline Error Message
About
F# Profile for iPython Notebook 1.x and 2.x
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
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IfSharp, Jupyter and F# Azure Notebooks
This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.
You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.
Build status: Build status (master/Windows) Build Status (master/Travis)
Compatibility
IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X
If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive
Automatic Installation
Previous releases for the IPython notebook are here: release repository.
Automatic installs for Jupyter will be provided in the future.
Running inside a Docker container
There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container.
Build the container with:
docker build -t ifsharp:3.0.0-alpha .
Run it with:
docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha
The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.
Manual Installation (Windows)
  1. Download Anaconda for Python 3.6
  2. Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit)
Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.
This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.
Installation screenshot
  1. Download current zip release of IfSharp v3.0.0-beta2
  2. Run IfSharp.exe (IfSharp application icon).
Jupyter with IfSharp can be run via "jupyter notebook" in future
Troubleshooting
If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-
Manual Installation (Mac)
  1. Install Anaconda
  2. Install Jupyter
  3. Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
  4. Download current zip release v3.0.0-beta2
  5. Unzip the release then run mono IfSharp.exe
  6. Run jupyter notebook
Manual Installation (Linux)
  1. Install Jupyter via pip or Anaconda etc.
  2. Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
  3. Download the current IfSharp zip release v3.0.0-beta1
  4. Unzip the release to a safe place such as ~/opt/ifsharp.
  5. Run mono ~/opt/ifsharp/IfSharp.exe to set up the jupyter config files in ~/.jupyter/ and ~/.local/share/jupyter/kernels/ifsharp/.
  6. (For XPlot) From the install directory ~/opt/ run mono paket.bootstrapper.exe then mono paket.exe install
  7. Run jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.
Screens
Intellisense
Intellisense Example #1
Intellisense Example #2
Intellisense Example #4 #r Directive
Intellisense Example #5 #load Directive
Integrated NuGet
NuGet Example
Inline Error Messages
Inline Error Message
About
F# Profile for iPython Notebook 1.x and 2.x
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
BranchesTags
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IfSharp, Jupyter and F# Azure Notebooks
This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.
You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.
Build status: Build status (master/Windows) Build Status (master/Travis)
Compatibility
IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X
If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive
Automatic Installation
Previous releases for the IPython notebook are here: release repository.
Automatic installs for Jupyter will be provided in the future.
Running inside a Docker container
There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container.
Build the container with:
docker build -t ifsharp:3.0.0-alpha .
Run it with:
docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha
The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.
Manual Installation (Windows)
  1. Download Anaconda for Python 3.6
  2. Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit)
Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.
This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.
Installation screenshot
  1. Download current zip release of IfSharp v3.0.0-beta2
  2. Run IfSharp.exe (IfSharp application icon).
Jupyter with IfSharp can be run via "jupyter notebook" in future
Troubleshooting
If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-
Manual Installation (Mac)
  1. Install Anaconda
  2. Install Jupyter
  3. Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
  4. Download current zip release v3.0.0-beta2
  5. Unzip the release then run mono IfSharp.exe
  6. Run jupyter notebook
Manual Installation (Linux)
  1. Install Jupyter via pip or Anaconda etc.
  2. Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
  3. Download the current IfSharp zip release v3.0.0-beta1
  4. Unzip the release to a safe place such as ~/opt/ifsharp.
  5. Run mono ~/opt/ifsharp/IfSharp.exe to set up the jupyter config files in ~/.jupyter/ and ~/.local/share/jupyter/kernels/ifsharp/.
  6. (For XPlot) From the install directory ~/opt/ run mono paket.bootstrapper.exe then mono paket.exe install
  7. Run jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.
Screens
Intellisense
Intellisense Example #1
Intellisense Example #2
Intellisense Example #4 #r Directive
Intellisense Example #5 #load Directive
Integrated NuGet
NuGet Example
Inline Error Messages
Inline Error Message
About
F# Profile for iPython Notebook 1.x and 2.x
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, '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); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
IfSharp, Jupyter and F# Azure Notebooks
This is the F# implementation for Jupyter. View the Feature Notebook for some of the features that are included.
You can use Jupyter F# Notebooks for free (with free server-side execution) at Azure Notebooks. If you select "Show me some samples", then there is an "Introduction to F#" which guides you through the language and its use in Jupyter.
Build status: Build status (master/Windows) Build Status (master/Travis)
Compatibility
IfSharp supports Jupyter 4.0, 4.1, 4.2 and works with both Python 2.X and Python 3.X
If you need IPython 1.x or 2.x support please see the archived https://github.com/fsprojects/IfSharp/tree/ipython-archive
Automatic Installation
Previous releases for the IPython notebook are here: release repository.
Automatic installs for Jupyter will be provided in the future.
Running inside a Docker container
There is a Docker file for running the F# kernel v. 3.0.0-alpha in a container.
Build the container with:
docker build -t ifsharp:3.0.0-alpha .
Run it with:
docker run -d -v your_local_notebooks_dir:/notebooks -p your_port:8888 ifsharp:3.0.0-alpha
The container exposes a volume called notebooks where the files get saved. On Linux, connect to the notebook on http://localhost:your_port and, on Windows, use http://your_docker_machine:your_port.
Manual Installation (Windows)
  1. Download Anaconda for Python 3.6
  2. Launch Anaconda3-4.4.0-Windows-x86_64.exe (or x-86.exe for 32-bit)
Click through the installation wizard, choosing the given install location. At the 'advanced installation options' screen shown below, select "Add Anaconda to my PATH environment variable". The installer warns against this step, as it can clash with previously installed software, however it's essential in running IfSharp. Now install.
This should also install Jupyter: you may check this by entering 'jupyter notebook' into the Anaconda console window. If Jupyter does not launch (it should launch in the browser), install using 'pip install jupyter', or by following Jupyter instructions.
Installation screenshot
  1. Download current zip release of IfSharp v3.0.0-beta2
  2. Run IfSharp.exe (IfSharp application icon).
Jupyter with IfSharp can be run via "jupyter notebook" in future
Troubleshooting
If the launch fails in the console window, check that the Anaconda version used is currently added to the path. If not, uninstalling Anaconda and reinstalling using instructions 1-
Manual Installation (Mac)
  1. Install Anaconda
  2. Install Jupyter
  3. Install Mono (tested Mono 4.2.4 & Mono 5.0.1)
  4. Download current zip release v3.0.0-beta2
  5. Unzip the release then run mono IfSharp.exe
  6. Run jupyter notebook
Manual Installation (Linux)
  1. Install Jupyter via pip or Anaconda etc.
  2. Install Mono (tested 4.2.4) and F# (tested 4.0). (warning: Mono 4.6 does not work due to a networking bug which is addressed in the upcoming Mono 4.8)
  3. Download the current IfSharp zip release v3.0.0-beta1
  4. Unzip the release to a safe place such as ~/opt/ifsharp.
  5. Run mono ~/opt/ifsharp/IfSharp.exe to set up the jupyter config files in ~/.jupyter/ and ~/.local/share/jupyter/kernels/ifsharp/.
  6. (For XPlot) From the install directory ~/opt/ run mono paket.bootstrapper.exe then mono paket.exe install
  7. Run jupyter notebook, the IfSharp kernel should now be one of the supported kernel types.
Screens
Intellisense
Intellisense Example #1
Intellisense Example #2
Intellisense Example #4 #r Directive
Intellisense Example #5 #load Directive
Integrated NuGet
NuGet Example
Inline Error Messages
Inline Error Message
About
F# Profile for iPython Notebook 1.x and 2.x
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages