Platypus is a developer tool that creates native Mac applications from command line scripts such as shell scripts or Python, Perl, Ruby, Tcl, JavaScript and PHP programs. NET CLI, get a plug-in for your favorite editor, or find a third party.Platypus. NET development tools for Windows, Linux, and macOS. Shell Scripting Tutorial.This tutorial is written to help people understand some of the basics of shell script programming (aka shell scripting), and hopefully to introduce some of the possibilities of simple but powerful programming available under the Bourne shell.As such, it has been written as a basis for one-on-one or group tutorials and exercises, and as a reference for subsequent use.Some notes on text editors for Stata users Some notes on text editors for Stata usersFree.
![]() Shell Script Editor Mac Applications FromIntegrating Stata and an external editor Don't use a word processor to edit text files See for example the list of articles at One fine source of informationIs Wikipedia. Nor is the amount of coverageNecessarily a measure of the value of an editor, and we welcome suggestions andCorrections from those with expertise and experience in the use of particularEditors together with Stata. If aParticular text editor is not mentioned here, by far the most likely reason isThat we don't use it, not that it has no value. Conversely, it would beFutile to make comments on editors we know little or nothing about. We are not shy about recommending editors enthusiastically whichWe have found reliable, versatile and productive. All we doHere is provide some general comments and some specific comments based on ourExperiences. Everything about how aWord processor works is aimed at this: styling text, integrating tables andFigures, creating footnotes and indexes, and so on. A word processor (for many Stata users, the example to spring toMind will be MS Word) formats and organises a document. ("I"Within any section refers to the person named as its author.)Don't use a word processor to edit text filesFirst, be clear about the difference between a word processor and a textEditor. In addition, it is often true that word processors are notFast enough to handle even moderately large text files comfortably.For example, when opening text files you have to wait while the software translatesBetween text format and its own native format.Let us single out some of the specific advantages of text editors.Ability to work with large text files One major advantage of a textEditor for many statistical researchers is the ability to work with quiteSizable text files such as the machine-readable ASCII codebooks provided withMany survey data sets. Even if you attempt to save a file asPlain text, the results can be unpredictable, and, most crucially, when workingWith pure text files in a word processor it is easy to forget to do this, andThe resulting file can thus be messed up.Moreover, while a word processor may be heavily laden with features, manyOf those features are irrelevant to, or even a hindrance to, efficient textFile editing, and the features most needed for text editing may be hard toFind, or even absent. Word processors can save files asPlain text, but they have an overwhelming bias to producing documents in someProprietary format (such as. They frequently have automatic features such as substitutingCurly quotes for those you actually typed. In a textFile lines of text are the fundamental units and, very often, should beMaintained as is in order that data and programs can be understood correctly byWhatever software reads them – and, indeed, by the people who read them.Word processors insert line breaks and page breaks to make the document followA uniform style. Or suppose you wanted to look for all occurrencesOf regress, reg, or anything in between. However, supposeThat you wanted to find and delete all of the lines in a file that did notBegin with isolated periods, as would be required to turn a Stata logFile into a do file. A good text editor will work with allThree formats, and permit you to save files in all three.Support for regular expressions Good text editors have sophisticatedCapabilities for the handling of so-called regular expressions.For example, your word processor will allow you to search a file for a specific word orPhrase, and replace it with another specific word or phrase. Stata is smart enough to workWith all three formats transparently: however, some word processors(most notably MS Word) are not. Fast disc cleaner for macAnother feature that is useful when working withMultiple files is the ability to identify and to browse through the differencesBetween two or more files, and to patch differences between them. In contrast, many text editors will permit you to work withMultiple files simultaneously, thus allowing you to make the change in allFiles through one action. It is difficult to convey in only a few sentences how powerful theAbility to work with regular expressions can be, but suffice it to say thatMany problems that arise in manipulating raw data so that they may be readEasily into Stata can be quickly solved with a text editor equipped withSee also an excellent page on regular expressions in Stata itself:What are regular expressions and how can I use them in Stata?Support for operations across multiple filesIn essence, word processors are designed to edit only one file at a time.Thus, if you have 10 do files each containing a reference to the path"/u2/here" which you want to change to "/u3/there", you need to edit the filesOne after another. Such patternsAre specified using a "regular expression": a simple web search for "regularExpressions" yields several pages devoted to explaining them in detail,In addition, most books on scripting languages such as Perl, Tcl, and Python haveSections devoted to regular expressions, as such languages make extensive useOf them.
0 Comments
Leave a Reply. |
AuthorBob ArchivesCategories |