Atom Text Editor Python

Using Atom as a Python editor The most basic way to create and run a Python program is to create an empty file with a.py extension, and point to that file from the command line with python filename.py. Alternatively, you can use the default Python IDLE which comes installed with Python. You can write and execute your code inside IDLE. Program in Python using Atom from scratch Atom is versatile and flexible text editor and has hundreds of community-made, open-source packages that can compile and run source files, for many languages. This guide will show how easy it is to code Python with the Atom editor.

1. How To Use Atom Text Editor Python
2. Python Package For Atom
3. See Full List On Atom.io

Run your python (.py) source file using F5 or F6!

• Atom Text Editor (nightly or latest stable release)
• Python 2 and/or 3
• Add Python (and any other interpreters) to the PATH environment variable.

• Using python
  • Almost the same console with python IDLE, which provides syntax error and runtime error messages.
• CodeBlocks debug console style
  • Shows return value and execution time
    • It is a rough time based on real time rather than CPU kernel / user time

• Cross Platform Compatible

  • Runs on Windows, Mac OS X, and Linux

• True Arbitrary Execution

  • Global python is the default interpreter
  • Execute using any interpreter
  • Pass options to the given interpreter
  • Pass arguments to the program to be executed

• Python 2 and 3

  • Note: If you have problems executing, you can install a global version of latest python2.7.x (even if you have python3.x.x installed). Please report any python3 issues if you want to avoid installing a global python2 version.

This project has been documented in a fair amount of detail over time. This documentation can be found in the Wiki.

Everyone should take the time to reveiw the Wiki README at the bare minimum. It details an overview on how to handle issues, use different versions, and includes links to primary sections of the Wiki.

Everyone should also take the time to review the Wiki section How do I use atom-python-run?. It covers everything from installation, to configuration, logging, and much more. You just might be surprised by what you can do with atom-python-run.

You should have the basics after having covered both the README and How Do I use atom-python-run? sections. Most FAQ's can be resolved by simply reading them. The guides provided should allow us to help you with what ever issue you're facing.

NOTE: Be sure to read the Wiki and the Wiki README before reporting an issue or making a pull request. A lot of time has been put in to it to help you the user (or dev) get started and on your way.

• Before newing an issue, check to see if someone else is experiencing any related issues.
• Check to see if any issues that were closed resemble your issue and re-open it addressing that you're experiencing a similar issue.
• Provide details about your issue, such as errors and/or logs.
• Provide reproduction steps (we can't help you if we don't know how to reproduce the error!).

If you're a developer and are interested in this project you can find this repos API's in the Wiki. More specifically, you'll want to take a look at How does the cp module work? and How does the terminal.js module work? sections of the Wiki.

You can also just read the key source files

• cp (cp is written in python)
• New an issue if you have any idea of new features.

This is a package for Atom

This is a package with preferences and syntax highlighter for cutting edgePython 3, although Python 2 is well supported, too. The syntax is compatiblewith Sublime Text, Atom andVisual Studio Code. It is meant to be a drop-inreplacement for the default Python package.

We are proud to say that MagicPython is used by GitHub to highlight Python.

Attention VSCode users: MagicPython is used as the defaultPython highlighter in Visual Studio Code. Don't install it unless youwant or need the cutting edge version of it. You will likely see nodifference because you're already using MagicPython.

MagicPython correctly highlights all Python 3 syntax features,including type annotations, f-strings and regular expressions. It isbuilt from scratch for robustness with an extensive test suite.

Type hints in comments require support by the color scheme. The oneused in the screenshot isChromodynamics.

Installation Instructions

This is meant to be a drop-in replacement for the default Python package.

In Atom, install the MagicPython package and disable the built-inlanguage-python package.

In Sublime Text, install MagicPython package via 'Package Control' anddisable the built-in Python package (usingPackage Control -> Disable Package, or directly by adding 'Python' to'ignored_packages' in the settings file).

In VSCode, starting with version 0.10.1, install MagicPython withInstall Extension command.

Alternatively, the package can be installed manually in all editors:

• copy the MagicPython package into the Sublime/Atom/VSCode user packagesdirectory;
• disable Python package;
• enjoy.

Changes and Improvements

The main motivation behind this package was the difficulty of using modernPython with other common syntax highlighters. They do a good job of the 90% ofthe language, but then fail on the nuances of some very useful, but oftenoverlooked features. Function annotations tend to freak out the highlighters invarious ways. Newly introduced keywords and magic methods are slow to beintegrated. Another issue is string highlighting, where all raw strings areoften assumed to be regular expressions or special markup used by .format iscompletely ignored. Bumping into all of these issues on daily basis eventuallyled to the creation of this package.

Overall, the central idea is that it should be easy to notice something odd orspecial about the code. Odd or special doesn't necessarily mean incorrect, butcertainly worth the explicit attention.

Annotations

Annotations should not break the highlighting. They should be no more difficultto read at a glance than other code or comments.

A typical case is having a string annotation that spans several lines by usingimplicit string concatenation. Multi-line strings are suboptimal for use inannotations as it may be highly undesirable to have odd indentation and extrawhitespace in the annotation string. Of course, there is no problem using linecontinuation or even having comments mixed in with implicit stringconcatenation. All of these will be highlighted as you'd expect in any otherplace in the code.

A more advanced use case for annotations is to actually have complex expressionsin them, such as lambda functions, tuples, lists, dicts, sets, comprehensions.Admittedly, all of these might be less frequently used, but when they are, youcan rely on them being highlighted normally in all their glorious details.

Result annotations are handled as any other expression would be. No reason toworry that the body of the function would look messed up.

Strings

Strings are used in many different ways for processing and presenting data.Making the highlighter more friendly towards these uses can help you concentrateyour efforts on what matters rather than visual parsing.

Raw strings are often interpreted as regular expressions. This is a bit of aproblem, because depending on the application this may actually not be the mostcommon case. Raw strings can simply be the input to some other processor, inwhich case regexp-specific highlighting is really hindering the overallreadability. MagicPython follows a convention that a lower-case r prefix meansa regexp string, but an upper-case R prefix means just a raw string with nospecial regexp semantics. This convention holds true for all of the legalcombinations of prefixes. As always the syntax is biased towards Python 3, thusit will mark Python-2-only prefixes (i.e. variations of ur) as deprecated.

String formatting is often only supported for '%-style formatting', however, therecommended and more readable syntax used by .format is ignored. The benefitsof using simple and readable {key} replacement fields are hindered by the factthat in a complex or long string expression it may not be easily apparent whatparameters will actually be needed by .format. This is why MagicPythonhighlights both kinds of string formatting syntax within the appropriate stringtypes (bytes don't have a .format method in Python 3, so they don't get thespecial highlighting for it, raw and unicode strings do). Additionally, thehighlighter also validates that the formatting is following the correct syntax.It can help noticing an error in complex formatting expressions early.

Python 3.6 f-strings are supported in both the raw and regularflavors. The support for them is somewhat more powerful than what canbe done in regular strings with .format, because the f-string specallows to highlight them with less ambiguity.

Numeric literals

Most numbers are just regular decimal constants, but any time that octal,binary, hexadecimal or complex numbers are used it's worth noting that they areof a special type. Highlighting of Python 2 'L' integers is also supported.

Underscores in numeric literals are also supported (PEP 515, introduced inPython 3.6):

How To Use Atom Text Editor Python

Python 3.5 features

New keywords async and await are properly highlighted. Currently, thesekeywords are new and are not yet reserved, so the Python interpreter will allowusing them as variable names. However, async and await are not recommendedto be used as variable, class, function or module names. Introduced byPEP 492 in Python 3.5, they willbecome proper keywords in Python 3.7. It is very important that the highlightershows their proper status when they are used as function parameter names, asthat could otherwise be unnoticed and lead to very messy debugging down theroad.

Built-ins and Magic Methods

Various built-in types, classes, functions, as well as magic methods are allhighlighted. Specifically, they are highlighted when they appear as names inuser definitions. Although it is not an error to have classes and functions thatmask the built-ins, it is certainly worth drawing attention to, so that maskingbecomes a deliberate rather than accidental act.

Highlighting built-ins in class inheritance list makes it slightly more obviouswhere standard classes are extended. It is also easier to notice some typos(have you ever typed Excepiton?) a little earlier.

Parameters and Arguments

MagicPython highlights keywords when they are used as parameter/argument names.This was mentioned for the case of async and await, but it holds true forall other keywords. Although the Python interpreter will produce an appropriateerror message when reserved keywords are used as identifier names, it's stillworth showing them early, to spare even this small debugging effort.

Development

You need npm and node.js to work on MagicPython.

Python Package For Atom

• clone the repository
• run make to build the local development environment
• run make release to build the syntax packages for Sublime Text and Atom(running make test also generates the 'release' packages)

See Full List On Atom.io

Please note that we have some unit tests for the syntax scoping. We will beexpanding and updating our test corpus. This allows us to trust that tinyinconsistencies will not easily creep in as we update the syntax and fix bugs.Use make test to run the tests regularly while updating the syntax spec.Currently the test files have two parts to them, separated by 3 empty newlines:the code to be scoped and the spec that the result must match.

If you intend to submit a pull request, please follow the following guidelines:

• keep code lines under 80 characters in length, it improves readability

• please do use multi-line regular expressions for any non-trivial cases like:

  • the regexp contains a mix of escaped and unescaped braces/parentheses
  • the regexp has several | in it
  • the regexp has several pairs of parentheses, especially nested ones
  • or the regexp is simply longer than 35 characters

• always run make test to ensure that your changes didn't have unexpected sideeffects

• update unit tests and add new ones if needed, keeping the test cases shortwhenever possible

Multiple scopes

It is sometimes necessary to assign multiple scopes to the samematched group. It is very important to keep in mind that the orderof these scopes is apparently treated as significant by the enginesprocessing the grammar specs. However, it is equally important to knowthat different specification formats seem to have different order ofimportance (most important first vs. last). Since we try to creategrammar that can be compiled into several different formats, we mustchose one convention and then translate it when necessary duringcompilation step. Call of duty official store uk. Our convention is therefore that most importantscope goes first.

Color Scheme

If you want to write your own color scheme for MagicPython you canfind a list of all the scopes that we use inmisc/scopes. The file is automatically generated basedon the syntax grammar, so it is always up-to-date and exhaustive.