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Ace is an embeddable code editor written in JavaScript. It matches the features and performance of native editors such as Sublime, Vim and TextMate. It can be easily embedded in any web page and JavaScript application. Ace is maintained as the primary editor for Cloud9 IDE and is the successor of the Mozilla Skywriter (Bespin) project.

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Looking for a more full-featured demo? Check out the kitchen sink.

Features

• Syntax highlighting for over 110 languages (TextMate/Sublime Text.tmlanguage files can be imported)
• Over 20 themes (TextMate/Sublime Text .tmtheme files can be imported)
• Automatic indent and outdent
• An optional command line
• Handles huge documents (four million lines seems to be the limit!)
• Fully customizable key bindings including vim and Emacs modes
• Search and replace with regular expressions
• Highlight matching parentheses
• Toggle between soft tabs and real tabs
• Displays hidden characters
• Drag and drop text using the mouse
• Line wrapping
• Code folding
• Multiple cursors and selections
• Live syntax checker (currently JavaScript/CoffeeScript/CSS/XQuery)
• Cut, copy, and paste functionality

Get the Open-Source Code

Ace is a community project. We actively encourage and support contributions! The Ace source code is hosted on GitHub and released under the BSD license ‐ very simple and friendly to all kinds of projects, whether open-source or not. Take charge of your editor and add your favorite language highlighting and keybindings!

History

Skywriter/Bespin and Ace started as two independent projects both aiming to build a no compromise code editor component for the web. Bespin started as part of Mozilla Labs and was based on the tag, while Ace is the editor component of Cloud9 IDE and uses the DOM for rendering. After the release of Ace at JSConf.eu 2010 in Berlin the Skywriter team decided to merge Ace with a simplified version of Skywriter's plugin system and some of Skywriter's extensibility points. All these changes have been merged back to Ace now, which supersedes Skywriter. Both Cloud9 IDE and Mozilla are actively developing and maintaining Ace.

Related Projects

Ace can be easily embedded into a web page. Get prebuilt version of ace from ace-builds repository and use the code below:

Now check out the How-To Guide for instructions on common operations, such as setting a different language mode or getting the contents from the editor. Mac spotlight alternative.

Loading Ace from a Local URL

If you want to clone and host Ace locally you can use one of the pre-packaged versions. Just copy one of src* subdirectories somewhere into your project, or use RequireJS to load the contents of lib/ace folder as ace:

Loading Ace from a CDN

The packaged version can also be loaded from CDN's such as PageCDN, jsDelivr or cdnjs.

In all of these examples Ace has been invoked as shown in the embedding guide.

Configuring the editor

there are several ways to pass configuration to Ace

See Configuring-Ace wiki page for a more detailed list of options.

Changing the size of the editor

Ace only checks for changes of the size of it's container when window is resized. If you resize the editor div in another manner, and need Ace to resize, use the following:

if you want editor to change it's size based on contents, use maxLines option as shown in https://ace.c9.io/demo/autoresize.html

Setting Themes

Themes are loaded on demand; all you have to do is pass the string name:

>See all themes

Setting the Programming Language Mode

By default, the editor supports plain text mode. All other language modes are available as separate modules, loaded on demand like this:

One Editor, Multiple Sessions

Ace keeps everything about the state of the editor (selection, scroll position, etc.) in editor.session. This means you can grab the session, store it in a var, and set the editor to another session (e.g. a tabbed editor).

You might accomplish this like so:

Common Operations

Set and get content:

Get selected text:

Insert at cursor, emulating user input:

Replace text in range:

Get the current cursor line and column:

Go to a line:

Get total number of lines:

Set the default tab size:

Use soft tabs:

Set the font size:

Toggle word wrapping:

Set line highlighting:

Set the print margin visibility: Vmware fusion pro 7 1 1.

Set the editor to read-only:

Using undo manager

To group undo delta of the next edit with the previous one set `mergeUndoDeltas` to true

To start new undo group use `markUndoGroup` method

To disable undo of a an edit in a collaborative editor

To implement undo/redo buttons see https://ace.c9.io/demo/toolbar.html

Searching

The following options are available to you for your search parameters:

• needle: The string or regular expression you're looking for
• backwards: Whether to search backwards from where cursor currently is. Defaults to false.
• wrap: Whether to wrap the search back to the beginning when it hits the end. Defaults to false.
• caseSensitive: Whether the search ought to be case-sensitive. Defaults to false.
• wholeWord: Whether the search matches only on whole words. Defaults to false.
• range: The Range to search within. Set this to null for the whole document
• regExp: Whether the search is a regular expression or not. Defaults to false.
• start: The starting Range or cursor position to begin the search
• skipCurrent: Whether or not to include the current line in the search. Default to false.
• preventScroll: Whether or not to move the cursor to the next match. Default to false.

Here's how you can perform a replace:

And here's a replace all:

(editor.replaceAll uses the needle set earlier by editor.find('needle', .)

Listening to Events

To listen for an onchange:

To listen for an selection change:

To listen for a cursor change:

Adding New Commands and Keybindings

To assign key bindings to a custom function:

Configure dynamic loading of modes and themes

By default ace detcts the url for dynamic loading by finding the script node for ace.js. This doesn't work if ace.js is not loaded with a separate script tag, and in this case it is required to set url explicitely

Path for one module alone can be configured with:

When using ace with webpack, it is possible to configure paths for all submodules using

which depends on file-loader

Creating a new syntax highlighter for Ace is extremely simple. You'll need to define two pieces of code: a new mode, and a new set of highlighting rules.

Where to Start

We recommend using the Ace Mode Creator when defining your highlighter. This allows you to inspect your code's tokens, as well as providing a live preview of the syntax highlighter in action.

Defining a Mode

Every language needs a mode. A mode contains the paths to a language's syntax highlighting rules, indentation rules, and code folding rules. Without defining a mode, Ace won't know anything about the finer aspects of your language.

Here is the starter template we'll use to create a new mode:

What's going on here? First, you're defining the path to TextMode (more on this later). Then you're pointing the mode to your definitions for the highlighting rules, as well as your rules for code folding. Finally, you're setting everything up to find those rules, and exporting the Mode so that it can be consumed. That's it!

Regarding TextMode, you'll notice that it's only being used once: oop.inherits(Mode, TextMode);. If your new language depends on the rules of another language, you can choose to inherit the same rules, while expanding on it with your language's own requirements. For example, PHP inherits from HTML, since it can be embedded directly inside .html pages. You can either inherit from TextMode, or any other existing mode, if it already relates to your language.

All Ace modes can be found in the lib/ace/mode folder.

Defining Syntax Highlighting Rules

The Ace highlighter can be considered to be a state machine. Regular expressions define the tokens for the current state, as well as the transitions into another state. Let's define mynew_highlight_rules.js, which our mode above uses.

All syntax highlighters start off looking something like this:

The token state machine operates on whatever is defined in this.$rules. The highlighter always begins at the start state, and progresses down the list, looking for a matching regex. When one is found, the resulting text is wrapped within a tag, where is defined as the token property. Note that all tokens are preceded by the ace_ prefix when they're rendered on the page.

Once again, we're inheriting from TextHighlightRules here. We could choose to make this any other language set we want, if our new language requires previously defined syntaxes. For more information on extending languages, see 'extending Highlighters' below.

Defining Tokens

The Ace highlighting system is heavily inspired by the TextMate language grammar. Most tokens will follow the conventions of TextMate when naming grammars. A thorough (albeit incomplete) list of tokens can be found on the Ace Wiki.

For the complete list of tokens, see tool/tmtheme.js. It is possible to add new token names, but the scope of that knowledge is outside of this document.

Multiple tokens can be applied to the same text by adding dots in the token, e.g.token: support.function wraps the text in a tag.

Defining Regular Expressions

Regular expressions can either be a RegExp or String definition

If you're using a regular expression, remember to start and end the line with the / character, like this:

A caveat of using stringed regular expressions is that any character must be escaped. That means that even an innocuous regular expression like this:

Must actually be written like this:

Groupings

You can also include flat regexps--(var)--or have matching groups--((a+)(b+)). There is a strict requirement whereby matching groups must cover the entire matched string; thus, (hel)lo is invalid. If you want to create a non-matching group, simply start the group with the ?: predicate; thus, (hel)(?:lo) is okay. You can, of course, create longer non-matching groups. For example:

For flat regular expression matches, token can be a String, or a Function that takes a single argument (the match) and returns a string token. For example, using a function might look like this:

If token is a function,it should take the same number of arguments as there are groups, and return an array of tokens.

For grouped regular expressions, token can be a String, in which case all matched groups are given that same token, like this:

More commonly, though, token is an Array (of the same length as the number of groups), whereby matches are given the token of the same alignment as in the match. For a complicated regular expression, like defining a function, that might look something like this:

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Defining States

The syntax highlighting state machine stays in the start state, until you define a next state for it to advance to. At that point, the tokenizer stays in that new state, until it advances to another state. Afterwards, you should return to the original start state.

Here's an example:

In this extremely short sample, we're defining some highlighting rules for when Ace detects a tag. When one is encountered, the tokenizer moves from start into the cdata state. It remains there, applying the text token to any string it encounters. Finally, when it hits a closing ]> symbol, it returns to the start state and continues to tokenize anything else.

Using the TMLanguage Tool

There is a tool that will take an existing tmlanguage file and do its best to convert it into Javascript for Ace to consume. Here's what you need to get started:

1. In the Ace repository, navigate to the tools folder.
2. Run npm install to install required dependencies.
3. Run node tmlanguage.js ; for example, node /Users/Elrond/elven.tmLanguage

Two files are created and placed in lib/ace/mode: one for the language mode, and one for the set of highlight rules. You will still need to add the code into ace/ext/modelist.js, and add a sample file for testing.

A Note on Accuracy

Your .tmlanguage file will then be converted to the best of the converter's ability. It is an understatement to say that the tool is imperfect. Probably, language mode creation will never be able to be fully autogenerated. There's a list of non-determinable items; for example:

• The use of regular expression lookbehinds
This is a concept that JavaScript simply does not have and needs to be faked
• Deciding which state to transition to
While the tool does create new states correctly, it labels them with generic terms like state_2, state_10, e.t.c.
• Extending modes
Many modes say something like include source.c, to mean, 'add all the rules in C highlighting.' That syntax does not make sense to Ace or this tool (though of course you can extending existing highlighters).
• Rule preference order
• Gathering keywords
Most likely, you'll need to take keywords from your language file and run them through createKeywordMapper()

However, the tool is an excellent way to get a quick start, if you already possess a tmlanguage file for you language.

Extending Highlighters

Suppose you're working on a LuaPage, PHP embedded in HTML, or a Django template. You'll need to create a syntax highlighter that takes all the rules from the original language (Lua, PHP, or Python) and extends it with some additional identifiers (, , {%, for example). Ace allows you to easily extend a highlighter using a few helper functions.

Getting Existing Rules

To get the existing syntax highlighting rules for a particular language, use the getRules() function. For example:

Extending a Highlighter

The addRules method does one thing, and it does one thing well: it adds new rules to an existing rule set, and prefixes any state with a given tag. For example, let's say you've got two sets of rules, defined like this:

If you want to incorporate newRules into this.$rules, you'd do something like this:

Extending Two Highlighters

The last function available to you combines both of these concepts, and it's called embedRules. It takes three parameters:

1. An existing rule set to embed with
2. A prefix to apply for each state in the existing rule set
3. A set of new states to add

Like addRules, embedRules adds on to the existing this.$rules object. Eon timer 2 8 18.

To explain this visually, let's take a look at the syntax highlighter for Lua pages, which combines all of these concepts:

Here, this.$rules starts off as a set of HTML highlighting rules. To this set, we add two new checks for <%= and . We also delegate that if one of these rules are matched, we should move onto the lua-start state. Next, embedRules takes the already existing set of LuaHighlightRules and applies the lua- prefix to each state there. Finally, it adds two new checks for %> and ?>, allowing the state machine to return to start.

Code Folding

Adding new folding rules to your mode can be a little tricky. First, insert the following lines of code into your mode definition:

You'll be defining your code folding rules into the lib/ace/mode/folding folder. Here's a template that you can use to get started:

Just like with TextMode for syntax highlighting, BaseFoldMode contains the starting point for code folding logic. foldingStartMarker defines your opening folding point, while foldingStopMarker defines the stopping point. For example, for a C-style folding system, these values might look like this:

These regular expressions identify various symbols--{, [, //--to pay attention to. getFoldWidgetRange matches on these regular expressions, and when found, returns the range of relevant folding points. For more information on the Range object, see the Ace API documentation.

Again, for a C-style folding mechanism, a range to return for the starting fold might look like this:

Let's say we stumble across the code block hello_world() {. Our range object here becomes:

Testing Your Highlighter

The best way to test your tokenizer is to see it live, right? To do that, you'll want to modify the live Ace demo to preview your changes. You can find this file in the root Ace directory with the name kitchen-sink.html.

1. add an entry to supportedModes in ace/ext/modelist.js

2. add a sample file to demo/kitchen-sink/docs/ with same name as the mode file

Once you set this up, you should be able to witness a live demonstration of your new highlighter.

Adding Automated Tests

Adding automated tests for a highlighter is trivial so you are not required to do it, but it can help during development.

In lib/ace/mode/_test create a file named with some example code. (You can skip this if the document you have added in demo/docs both looks good and covers various edge cases in your language syntax).

Run nodehighlight_rules_test.js-gen to preserve current output of your tokenizer in tokens_.json

After this running highlight_rules_test.jsoptionalLanguageName will compare output of your tokenizer with the correct output you've created.

Any files ending with the _test.js suffix are automatically run by Ace's Travis CI server.

Welcome to the Ace API Reference!

On the left, you'll find a list of all of our currently documented classes. These is not a complete set of classes, but rather, the 'core' set. For more information on how to work with Ace, check out the embedding guide.

Below is an ERD diagram describing some fundamentals about how the internals of Ace works:

Ace is used all over the web in all kinds of production applications. Here is just a small sampling:

• Lively Web
• ShareLaTeX
  ShareLaTeX
• Dillinger
  Dillinger
• Edicy
  Edicy
• Orbit
  BonsaiJS playground
• BootTheme
  BootTheme
• ChocolateJs
  Chocolatejs
• Codiqa
  Codiqa
• (codassium);
  (codassium);
• sT
  SourceTalk
• NapCat
  NapCat
• Codechat
  Codechat
• md
  browserify-markdown-editor
• Siteleaf
• iMDone
  iMDone
• JQM Designer
• qooxdoo
  Qooxdoo playground
• PythonAnywhere
• Asciidoc FX
• Learn Angular
• Neocities
• SelfBuild
• SBP
• eSeeCode
• Apiary
• ExistDB
• T-World
• Semantic Ui
  Semantic Ui
• Git-Edit
  Git-Edit

• +

  Your Site Here

Aside from our GitHub page, here's a list of places you can find help for Ace:

Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook. Visual Studio Code supports working with Jupyter Notebooks natively, as well as through Python code files. This topic covers the native support available for Jupyter Notebooks and demonstrates how to:

• Create, open, and save Jupyter Notebooks
• Work with Jupyter code cells
• View, inspect, and filter variables using the Variable explorer and Data viewer
• Connect to a remote Jupyter server
• Debug a Jupyter notebook

Setting up your environment

To work with Jupyter notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Jupyter package. To select an environment, use the Python: Select Interpreter command from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)).

Once the appropriate environment is activated, you can create and open a Jupyter Notebook, connect to a remote Jupyter server for running code cells, and export a Jupyter Notebook as a Python files.

Note: By default, the Visual Studio Code Python extension will open a Jupyter Notebook (.ipynb) in the Notebook Editor. If you want to disable this behavior you can turn it off in settings. (Python > Data Science: Use Notebook Editor).

Create or open a Jupyter Notebook

You can create a Jupyter Notebook by running the Python: Create Blank New Jupyter Notebook command from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) or by creating a new .ipynb file in your workspace. When you select the file, the Notebook Editor is launched allowing you to edit and run code cells.

If you have an existing Jupyter Notebook, you can open it in the Notebook Editor by double-clicking on the file and opening with Visual Studio Code, through the Visual Studio Code, or using the Command Palette Python: Open in Notebook Editor command.

Once you have a Notebook created, you can run a code cell using the green run icon above the cell and the output will appear directly below the code cell.

Trusted Notebooks

It's possible for malicious source code to be contained in a Jupyter Notebook. With that in mind, to help protect you, any Notebook that's not created with VS Code on your local machine (or explicitly set to Trusted by you) is considered Not Trusted. When a Notebook is Not Trusted, VS Code will not render Markdown cells or display the output of code cells within the Notebook. Instead, just the source of Markdown and code cells will be shown. The Notebook is essentially in read-only mode, with toolbars disabled and no ability to edit the file, until you set it as Trusted.

Note: Before setting a Notebook as Trusted, it is up to you to verify that the source code and Markdown are safe to run. VS Code does not perform any sanitizing of Markdown, it merely prevents it from being rendered until a Notebook is marked as Trusted to help protect you from malicious code.

When you first open a Notebook that's Not Trusted, the following notification prompt is displayed.

If you select Trust, the Notebook will be trusted going forward. If you opt not to trust the Notebook, then Not Trusted will be displayed in the toolbar and the Notebook will remain in a read-only state as described previously. If you select Trust all notebooks, you will be taken to settings, where you can specify that all Notebooks opened in VS Code be trusted. That means you will no longer be prompted to trust individual notebooks and harmful code could automatically run.

You can relaunch the trust notification prompt after reviewing the Notebook by clicking on the Not Trusted status.

Save your Jupyter Notebook

You can save your Jupyter Notebook using the keyboard combo Ctrl+S or through the save icon on the Notebook Editor toolbar.

Note: At present, you must use the methods discussed above to save your Notebook. The File>Save menu does not save your Notebook, just the toolbar icon or keyboard command.

Export your Jupyter Notebook

You can export a Jupyter Notebook as a Python file (.py), a PDF, or an HTML file. To export, just click the convert icon on the main toolbar. You'll then be presented with file options from the Command Palette.

Note: For PDF export, you must have TeX installed. If you don't, you will be prompted to install it when you select the PDF option. Also, be aware that if you have SVG-only output in your Notebook, they will not be displayed in the PDF. To have SVG graphics in a PDF, either ensure that your output includes a non-SVG image format or else you can first export to HTML and then save as PDF using your browser.

Work with code cells in the Notebook Editor

Rollercoaster tycoon 3 platinum 3 3 1. The Notebook Editor makes it easy to create, edit, and run code cells within your Jupyter Notebook.

Create a code cell

By default, a blank Notebook will have an empty code cell for you to start with and an existing Notebook will place one at the bottom. Add your code to the empty code cell to get started.

Code cell modes

While working with code cells a cell can be in three states, unselected, command mode, and edit mode. The current state of a cell is indicated by a vertical bar to the left of a code cell. When no bar is visible, the cell is unselected.

An unselected cell isn't editable, but you can hover over it to reveal additional cell specific toolbar options. These additional toolbar options appear directly below and to the left of the cell. You'll also see when hovering over a cell that an empty vertical bar is present to the left.

When a cell is selected, it can be in two different modes. It can be in command mode or in edit mode. When the cell is in command mode, it can be operated on and accept keyboard commands. When the cell is in edit mode, the cell's contents (code or Markdown) can be modified.

When a cell is in command mode, the vertical bar to the left of the cell will be solid to indicate it's selected.

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When you're in edit mode, the vertical bar will have diagonal lines.

To move from edit mode to command mode, press the ESC key. To move from command mode to edit mode, press the Enter key. You can also use the mouse to change the mode by clicking the vertical bar to the left of the cell or out of the code/Markdown region in the code cell.

Add additional code cells

Code cells can be added to a Notebook using the main toolbar, a code cell's vertical toolbar, the add code cell icon at the bottom of the Notebook, the add code cell icon at the top of the Notebook (visible with hover), and through keyboard commands.

Using the plus icon in the main toolbar will add a new cell directly below the currently selected cell. Using the add cell icons at the top and bottom of the Jupyter Notebook, will add a code cell at the top and bottom respectively. And using the add icon in the code cell's toolbar, will add a new code cell directly below it.

When a code cell is in command mode, the A key can be used to add a cell above and the B can be used to add a cell below the selected cell.

Select a code cell

The selected code cell can be changed using the mouse, the up/down arrow keys on the keyboard, and the J (down) and K (up) keys. To use the keyboard, the cell must be in command mode.

Run a single code cell

Once your code is added, you can run a cell using the green run arrow and the output will be displayed below the code cell.

You can also use key combos to run a selected code cell. Ctrl+Enter runs the currently selected cell, Shift+Enter runs the currently selected cell and inserts a new cell immediately below (focus moves to new cell), and Alt+Enter runs the currently selected cell and inserts a new cell immediately below (focus remains on current cell). These keyboard combos can be used in both command and edit modes.

Run multiple code cells

Running multiple code cells can be accomplished in a number of ways. You can use the double arrow in the toolbar of the Notebook Editor to run all cells within the Notebook or the run icons with directional arrows to run all cells above or below the current code cell.

Move a code cell

Moving code cells up or down within a Notebook can be accomplished using the vertical arrows beside each code cell. Hover over the code cell and then click the up arrow to move the cell up and the down arrow to move the cell down.

Delete a code cell

Deleting a code cell can be accomplished by hovering over a code cell and using the delete icon in the code cell toolbar or through the keyboard combo dd when the selected code cell is in command mode.

Undo your last change

You can use the z key to undo your previous change, for example, if you've made an accidental edit you can undo it to the previous correct state, or if you've deleted a cell accidentally you can recover it.

Switch between code and Markdown

The Notebook Editor allows you to easily change code cells between Markdown and code. By default a code cell is set for code, but just click the Markdown icon (or the code icon, if Markdown was previously set) in the code cell's toolbar to change it.

Once Markdown is set, you can enter Markdown formatted content to the code cell. Once you select another cell or toggle out of the content selection, the Markdown content is rendered in the Notebook Editor.

You can also use the keyboard to change the cell type. When a cell is selected and in command mode, the M key switches the cell type to Markdown and the Y key switches the cell type to code.

Clear output or restart/interrupt the kernel

If you'd like to clear the code cell output or restart/interrupt the kernel, you can accomplish that using the main Notebook Editor toolbar.

Enable/Disable line numbers

You can enable or disable line numbering within a code cell using the L key.

IntelliSense support in the Jupyter Notebook Editor

The Python Jupyter Notebook Editor window has full IntelliSense – code completions, member lists, quick info for methods, and parameter hints. You can be just as productive typing in the Notebook Editor window as you are in the code editor.

Variable explorer and data viewer

Within the Python Notebook Editor, it's possible to view, inspect, and filter the variables within your current Jupyter session. By clicking the Variables icon in the top toolbar after running code and cells, you'll see a list of the current variables, which will automatically update as variables are used in code.

For additional information about your variables, you can also double-click on a row or use the Show variable in data viewer button next to the variable to see a more detailed view of a variable in the Data Viewer. Once open, you can filter the values by searching over the rows.

Note: Variable explorer is enabled by default, but can be turned off in settings (Python > Data Science: Show Jupyter Variable Explorer).

Plot viewer

The Plot Viewer gives you the ability to work more deeply with your plots. In the viewer you can pan, zoom, and navigate plots in the current session. You can also export plots to PDF, SVG, and PNG formats.

Within the Notebook Editor window, double-click any plot to open it in the viewer, or select the plot viewer button on the upper left corner of the plot (visible on hover).

Note: There is support for rendering plots created with matplotlib and Altair.

Debug a Jupyter Notebook

If you need additional debug support in order to diagnose an issue in your code cells, you can export it as a Python file. Once exported as a Python file, the Visual Studio Code debugger lets you step through your code, set breakpoints, examine state, and analyze problems. Using the debugger is a helpful way to find and correct issues in notebook code. To debug your Python file:

1. In VS Code, if you haven't already, activate a Python environment in which Jupyter is installed.

2. From your Jupyter Notebook (.ipynb) select the convert button in the main toolbar.

   Once exported, you'll have a .py file with your code that you can use for debugging.

3. After saving the .py file, to start the debugger, use one of the following options:

   • For the whole Notebook, open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) and run the Python: Debug Current File in Python Interactive Window command.
   • For an individual cell, use the Debug Cell adornment that appears above the cell. The debugger specifically starts on the code in that cell. By default, Debug Cell just steps into user code. If you want to step into non-user code, you need to uncheck Data Science: Debug Just My Code in the Python extension settings (⌘, (Windows, Linux Ctrl+,)).

4. To familiarize yourself with the general debugging features of VS Code, such as inspecting variables, setting breakpoints, and other activities, review VS Code debugging.

5. As you find issues, stop the debugger, correct your code, save the file, and start the debugger again.

6. When you're satisfied that all your code is correct, use the Python Interactive window to export the Python file as a Jupyter Notebook (.ipynb).

Connect to a remote Jupyter server

You can offload intensive computation in a Jupyter Notebook to other computers by connecting to a remote Jupyter server. Once connected, code cells run on the remote server rather than the local computer.

Filemaker server 15 0 2 – database server. To connect to a remote Jupyter server:

1. Run the Python: Specify local or remote Jupyter server for connections command from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)).

2. When prompted to Pick how to connect to Jupyter, select Existing: Specify the URI of an existing server.

3. When prompted to Enter the URI of a Jupyter server, provide the server's URI (hostname) with the authentication token included with a ?token= URL parameter. (If you start the server in the VS Code terminal with an authentication token enabled, the URL with the token typically appears in the terminal output from where you can copy it.) Alternatively, you can specify a username and password after providing the URI.