Re: Serial Code Magic Lines 4.0
Cinty Bolner
It works because the implementation looks for it, there is nothing magical about it. There is no difference, all possible variants are defined by PEP 263 (the only difference is that the first one is Emacs-compatible).
In my real data, I would have 10,000 of lines. So if I can do something like Ctrl+Shift+A to select the entire document and then have some magic shortcut to change from selecting all lines to editing all lines that would be perfect!
sync turn on the pseudo-sync integration (mostly used forIPython.embed() which does not run IPython with a real eventloop anddeactivate running asynchronous code. Turning on Asynchronous code withthe pseudo sync loop is undefined behavior and may lead IPython to crash.
This magic command support two ways of activating debugger.One is to activate debugger before executing code. This way, youcan set a break point, to step through the code from the point.You can use this mode by giving statements to execute and optionallya breakpoint.
After executing your code, %edit will return as output the code youtyped in the editor (except when it was an existing file). This wayyou can reload the code in further invocations of %edit as a variable,via _ or Out[], where is the prompt number ofthe output.
-r : Specify lines or ranges of lines to load from the source.Ranges could be specified as x-y (x..y) or in python-style x:y(x..(y-1)). Both limits x and y can be left blank (meaning thebeginning and end of the file, respectively).
This magic command can either take a local filename, a URL, an historyrange (see %history) or a macro as argument, it will prompt forconfirmation before loading source with more than 200 000 characters, unless-y flag is passed or if the frontend does not support raw_input:
If the given argument is not an object currently defined, IPython willtry to interpret it as a filename (automatically adding a .py extensionif needed). You can thus use %pfile as a syntax highlighting codeviewer.
In cell mode, the additional code lines are appended to the (possiblyempty) statement in the first line. Cell mode allows you to easilyprofile multiline blocks without having to put them in a separatefunction.
If foo+bar can be evaluated in the user namespace, the result isplaced at the next input prompt. Otherwise, the history is searchedfor lines which contain that substring, and the most recent one isplaced at the next input prompt.
The filename argument should be either a pure Python script (withextension .py), or a file with custom IPython syntax (such asmagics). If the latter, the file can be either a script with .ipyextension, or a Jupyter notebook with .ipynb extension. When runninga Jupyter notebook, the output from print statements and otherdisplayed objects will appear in the terminal (even matplotlib figureswill open, if a terminal-compliant backend is being used). Note that,at the system command line, the jupyter run command offers similarfunctionality for executing notebooks (albeit currently with somedifferences in supported options).
In most cases you should not need to split as a list, because thereturned value is a special type of string which can automaticallyprovide its contents either as a list (split on newlines) or as aspace-separated string. These are convenient, respectively, eitherfor sequential processing or to be passed to a shell command.
Because a Prism theme is just a JS object, you can also write your own theme if you are not satisfied with the default. Docusaurus enhances the github and vsDark themes to provide richer highlight, and you can check our implementations for the light and dark code block themes.
You can set your own background color for highlighted code line in your src/css/custom.css which will better fit to your selected syntax highlighting theme. The color given below works for the default highlighting theme (Palenight), so if you are using another theme, you will have to tweak the color accordingly.
You can also specify highlighted line ranges within the language meta string (leave a space after the language). To highlight multiple lines, separate the line numbers by commas or use the range syntax to select a chunk of lines. This feature uses the parse-number-range library and you can find more syntax on their project details.
Prefer highlighting with comments where you can. By inlining highlight in the code, you don't have to manually count the lines if your code block becomes long. If you add/remove lines, you also don't have to offset your line ranges.
Below, we will introduce how the magic comment system can be extended to define custom directives and their functionalities. The magic comments would only be parsed if a highlight metastring is not present.
// highlight-next-line and // highlight-start etc. are called "magic comments", because they will be parsed and removed, and their purposes are to add metadata to the next line, or the section that the pair of start- and end-comments enclose.
If you use number ranges in metastring (the 1,3-4 syntax), Docusaurus will apply the first magicComments entry's class name. This, by default, is theme-code-block-highlighted-line, but if you change the magicComments config and use a different entry as the first one, the meaning of the metastring range will change as well.
Every magic comment entry will contain three keys: className (required), line, which applies to the directly next line, or block (containing start and end), which applies to the entire block enclosed by the two comments.
Instead of implementing a dedicated component for multi-language support code blocks, we've implemented a general-purpose component in the classic theme so that you can use it for other non-code scenarios as well.
The following example is how you can have multi-language code tabs in your docs. Note that the empty lines above and below each language block are intentional. This is a current limitation of MDX: you have to leave empty lines around Markdown syntax for the MDX parser to know that it's Markdown syntax and not JSX.
Although discouraged, you can also pass in a metastring prop like metastring='1-2 title="/src/components/HelloCodeTitle.js" showLineNumbers', which is how Markdown code blocks are handled under the hood. However, we recommend you use comments for highlighting lines.
It's important to note that while code quality includes a few factors that can be measured, every concrete measure of code quality is imperfect and easy to game. There is no product or tool that can automatically and definitively rate the quality of a codebase. However, there are heuristics you can use to get a feel for code quality and see where issues may lie.
The nature of software applications is to grow, not just in size but in complexity. Complexity comes in many forms. Some of them are the result of low-quality code, but others are a fundamental part of the application's functionality and value. Software complexity has business value for a few reasons:
Code quality is also one of the great gifts we programmers can give to ourselves and our colleagues. If we spend a few extra moments naming a variable, rewriting deeply-nested logic, or making a function more predictable, those moments will be paid back in full many times over as we interact with that code over the life of the project. Thinking about how our code affects computers is the bare minimum; thinking about how our code affects humans is a powerful form of empathy in practice, one that no organization can afford to ignore.
This page describes how to develop code in Databricks notebooks, including autocomplete, automatic formatting for Python and SQL, combining Python and SQL in a notebook, and tracking the notebook version history.
Databricks provides tools that allow you to format Python and SQL code in notebook cells quickly and easily. These tools reduce the effort to keep your code formatted and help to enforce the same coding standards across your notebooks.
Databricks supports Python code formatting using Black within the notebook. The notebook must be attached to a cluster with black and tokenize-rt Python packages installed, and the Black formatter executes on the cluster that the notebook is attached to.
Format Python cell: Select Format Python in the command context dropdown menu of a Python cell. This menu item is visible only in Python notebook cells or those with a %python language magic.
To change the default language, click the language button and select the new language from the dropdown menu. To ensure that existing commands continue to work, commands of the previous default language are automatically prefixed with a language magic command.
When you invoke a language magic command, the command is dispatched to the REPL in the execution context for the notebook. Variables defined in one language (and hence in the REPL for that language) are not available in the REPL of another language. REPLs can share state only through external resources such as files in DBFS or objects in object storage.
%sh: Allows you to run shell code in your notebook. To fail the cell if the shell command has a non-zero exit status, add the -e option. This command runs only on the Apache Spark driver, and not the workers. To run a shell command on all nodes, use an init script.
Because the cell is run in a new session, temporary views, UDFs, and the implicit Python DataFrame (_sqldf) are not supported for cells that are executed in parallel. In addition, the default catalog and database names are used during parallel execution. If your code refers to a table in a different catalog or database, you must specify the table name using three-level namespace (`catalog`.`schema`.`table`).
I assume you've never written more than 8 lines of code. I don't know much about .net but in Java I rather read Rod Johnson or Gavin King code than your code. most frameworks are nicely written, you need not to be lazy and start reading them. despite of helping in development they learn you how to design.
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