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9L0-619 exam Dumps Source : Mac OS X Deployment v10.5

Test Code : 9L0-619
Test denomination : Mac OS X Deployment v10.5
Vendor denomination : Apple
: 92 actual Questions

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Apple Mac OS X Deployment

Deploying sensible compress to Rinkeby testnet the usage of Truffle and mac OS X | killexams.com actual Questions and Pass4sure dumps

Testnet as a condition to check your judicious solutions

There might be 2 articles about deploying sensible contracts:

  • moving compress from notice at various RPC to Rinkeby testnet using truffle and Mac OS
  • Connecting to deployed compress the usage of Infura. (In development)
  • Introduction

    Testnet is a spot to check your smart contracts options. in fact, it’s a clone of the Ethereum network that means that you can deploy and check your judicious contracts with out paying precise expenses.

    There are a few leading testnets:

    Metamask trap
  • Ropsten notice at various community — Proof-of-Work (PoW)
  • Kovan notice at various community — Proof-of-Authority (PoA)
  • Rinkeby test community — Proof-of-Authority (PoA)
  • right here’s a slight on diverse consensus protocols.

    One step left to birth! before relocating your compress to Testnet, be inescapable you've got Put in geth, truffle and Mist.

    installation compress from check RPC to testnet (Rinkeby)

    first off, to installation your venture, you should download the complete rinkeby node (containing transactions by means of users for every sole the time).

    To down load every sole chain statistics:

  • Open your finder, for instance at files.
  • Create current folder, rename it as “rinkeby” and open it.
  • Create a current folder inside rinkeby and derive in finger with it as “chaindata”.
  • Open your terminal and Go to documents/rinkeby with command:
  • $ cd documents/rinkeby/
  • and then to down load every sole chain statistics race subsequent command:
  • $ geth --datadir=./chaindata --rinkeby

    you are going to behold some thing like this:

    intellect about this url. it's your path_to_your_ipc_file
  • copy path_to_your_ipc_file someplace.
  • growth of chain downloading you will find in subsequent step in Mist.

    brief Tip: Parameter — rinkeby says to geth that chain statistics must be downloaded from rinkeby testnet.

    Create a check pockets with Mist and rinkeby community

    good enough, they requisite to pay for deploying out contract, so they want create ethereum account, because they ought to pay for this travail with gas (don’t be concerned they can pay for no longer precise cash). So Mist will help us to accomplish that.

    brief Tip: Mist is an ethereum client where that you would be able to create your current wallets or control them. extra about it you can learn here.

  • To open Mist which can be related to their rinkeby community they are able to utilize command (see illustration under):
  • $ /path_to_your_application_/Contents/MacOS/Mist --rpc /path_to_your_ipc_file

    path_to_your_ipc_file — that you can locate it firstly of this article.

    I actually relish installed Mist into my functions. So in my case it seems like this:

    $ /purposes/Mist.app/Contents/MacOS/Mist --rpc /users/bomalkevych/files/rinkeby/chaindata/geth.ipc

    After this command you will behold Mist’s banner:

    Mist starting (rinkeby network)
  • faucet on «LAUNCH utility». (In some instances it can be launched automatically)
  • In my case, every sole packets relish been downloaded (1.655.084)

    Then, you're going to behold within the left backside nook how a remarkable deal chain packets were downloaded. it could actually retract you from a pair of minutes to a number of hours counting on your information superhighway connection and how a entire lot peers are linked to testnetwork.

    short Tip: in case you are looking to behold downloading fame with out Mist that you can connect to connection (connection which you opened during step 1) and try it out in a terminal.

    So, to try this:

  • Open a brand current terminal window (CMD + T)
  • Run subsequent command to connect to the connection:
  • $ geth connect /path_to_your_ipc_file

    path_to_your_ipc_file — which you could find it firstly of this text.

    once more, in my case it feels like:

    $ geth connect /users/bomalkevych/documents/rinkeby/chaindata/geth.ipc
  • finally in this tab of terminal race next command:
  • $ eth.syncing

    it may recur something like this:

    currentBlock: 13445,highestBlock: 1604086,knownStates: 32228,pulledStates: 19524,startingBlock: 0

    What faculty what closing shroud became loaded or can recur «false» what skill that plenary chain changed into loaded.

    Create a new pockets

    in case you relish one that you may pass this step. a passage to create a current pockets and control dollars step-through-step you could locate here.

    including dollars to a notice at various account

    right through their chain is loading, they are able to add some ether to their account. To accomplish that, you ought to:

  • Open Mist, opt for your pockets, and copy it’s tackle.
  • replica tackle, reproduction anyway

    There are some short and clear assistance how to derive dollars. In a pair of phrases:

  • opt for some companionable network: facebook, google+ or Twitter.
  • Make a submit with the address pockets you copied earlier than.
  • copy hyperlink to the post you made.
  • Paste it within the enter box on https://www.rinkeby.io/#faucet (see reveal).
  • Add funds to your wallet
  • Wait while a shroud together with your transaction can be delivered to blockchain register (it will possibly retract a pair of minutes). To determine fame of your transaction utilize etherscan.
  • Etherscan

    to peer particulars of your account transactions (historical past, statuses and many others).

  • Go to https://rinkeby.etherscan.io
  • Paste your wallet quantity as proven on reveal:
  • Scan transaction details
  • Open some transaction and notice fame. result may soundless be like:
  • illustration of transaction details install compress with Truffle

    When syncing will cease (in first tab):

  • Go to first tab in terminal and wreck syncing with (control+C) which they race every sole over first step.
  • Run command:
  • $ geth --datadir=./chaindata --rinkeby --rpc --rpcapi db,eth,internet,web3,own
  • Open your undertaking’s truffle.js file.
  • substitute from parameter in code below together with your wallet number and paste it on your truffle.js.
  • rinkeby: host: "localhost",port: 8545,network_id: "four", // Rinkeby identification 4from: "0x99a4572656eb49FFEEFbe9588f8e7ab0F8D6Eb5e", // account from which to deploygas: 6712390

    In my case, it feels like this:

    remember! change from together with your pockets address.

    next step is to connect to the energetic connection they did on the begining of this section and unencumber their account. to be able to try this:

  • Open a current terminal window (CMD + T)
  • Run next command to connect to the connection:
  • $ geth attach --rpc /path_to_your_ipc_file

    path_to_your_ipc_file — which you can locate it at the start of this text.

    again, in my case it feels like:

    $ geth attach /clients/bomalkevych/documents/rinkeby/chaindata/geth.ipc
  • at terminal during this tab of terminal race subsequent command (as an alternative of 0x99a4572656eb49FFEEFbe9588… paste your wallet number):
  • $ own.unlockAccount("0x99a4572656eb49FFEEFbe9588...")
  • enter account password and press Enter. (it should recur “authentic”)
  • Open a current tab within the terminal and Go to your assignment folder in terminal.
  • finally to deploy your contract, utilize command:
  • $ truffle migrate --community rinkeby Troubleshooting

    First: if you requisite to redeploy your compress and you derive a message like this:

    the usage of community 'rinkeby'.community up to this point.

    are trying to delete build folder and race command once more.

    2nd: in case you derive oversight message privilege through deploing which linked to gas restrict.

    check your truffle.js file you Put gas expense as: 6712390


    Apple concerns macOS 10.14.3 Supplemental supersede | killexams.com actual Questions and Pass4sure dumps

    Apple on Thursday up to date macOS Mojave with the unencumber of the macOS 10.14.three Supplemental replace. The supersede become launched along side the iOS 12.1.4 replace.

    The Supplemental update fixes the neighborhood FaceTime worm that has been making headlines recently. whereas most people affiliate the bug with the iPhone, group FaceTime help is attainable on macOS Mojave. The supersede furthermore fixes a safety issue involving reside photos in FaceTime. The safety notes for the Supplemental update are available on-line.

    earlier than installing any system update, effect a backup of your information. listed here are the steps for the installation.

    1. within the Finder, click on the Apple menu and notice for an supersede indication for system Preferences, as proven within the picture beneath. if you behold a demonstration for an update, select materiel Preferences.

    sytem preference update mojaveIDG

    If not, pick About This Mac > Overview > software replace.

    2. get confident to be at the window for software replace. Your Mac will check on-line to notice if the supersede is attainable. whether it is, click on the supersede Now button.

    3. A warning will seem, mentioning that your Mac will requisite to restart. click on down load & Restart in case you can proceed. The down load will retract a few minutes and your Mac will instantly restart.

    if your Mac doesn’t restart, Go lower back to the application update window and click on the supersede Now button. A Restart button may additionally seem. click on it to proceed.

    To finger upon this article and other Macworld content, visit their facebook web page or their Twitter feed.

    Mac Deployment tools: a top plane view of the highest quality ways to Roll Out a brand current Mac Lab or supersede an worn One | killexams.com actual Questions and Pass4sure dumps

    New Macs, current models of Mac OS X, current software, and current school years every sole translate to one factor for Mac IT workforce: choosing the most advantageous technique to roll out the brand current computer systems, application, lecture rooms, or configurations. Ryan Faas gives you an overview of the compass of tools obtainable from Apple and third events, and tells you how to roll out with less bother and fewer headaches.

    Like this article? They recommend 

    Deployments are a Part of life for IT corpse of workers, be they deployments of latest workstations, current applications or different configuration alterations, or deployments of total current labs and networks. these working in education often disburse the times earlier than a school year or current school semester readying classrooms and laptop labs with the aid of doing computing device cleanup and updates (just about, wiping the tough drives of workstations and then deploying a brand current materiel configuration onto them). unfortunately, deployments can either be bother-free or riddled with complications devoid of both reform planning and the reform equipment. this article focuses on the suitable materiel for Mac IT group of workers charged with planning and managing deployments and rollouts.

    There are a number of tools and techniques that are, through this factor, considered tried and actual, including the venerable Apple software restore in both network and local disk adaptations (together with a pair of GUI entrance ends to ease the deployment manner), Mac OS X Server’s NetInstall feature, Apple faraway computer, and the open source Radmind utility. additionally protected are laptop administration tools equivalent to FileWave and NetOctopus. We’ll notice in brief at every alternative, its methodology, and its pros and cons for a variety of kinds of deployments.

    Apple software restoration (ASR) has been a instrument for Mac administrators and technicians for nearly two decades. In Mac OS X, ASR is a command-line instrument that is a Part of every Mac OS X unencumber. ASR uses disk photos created with the Apple Disk Utility (or an identical tool) as a supply of goal workstations. it could overwrite an existing disk with a special photograph. because disk photographs include a completely configured materiel (Mac OS X, installed utility, materiel configuration, and the like), ASR means that you can at once deploy study-to-use workstations. It is not, although, a particularly noble instrument for making utilize of application updates or rolling out a sole or limited amount of purposes.

    ASR can utilize a disk image kept on a aboriginal disk (akin to a arduous pressure or CD/DVD) as a source for deployments or it may well utilize a disk picture this is kept on a server. Being a command-line software, it's feasible to initiate ASR operations remotely. besides the fact that children, because the goal complicated power or partition could be overwritten as a Part of the ASR method, workstations deserve to be started from another Mac OS X boot disk (usually an exterior difficult drive or alternate partition).

    to get utilize of a disk picture as a source for ASR, the graphic must first be "scanned" with the ASR application. The scanning process optimizes the graphic to be used with ASR and can reorder parts of the image for sooner copying. counting on the dimension of the photo, this procedure may retract some time.


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    OS X: Best Java Platform? | killexams.com actual questions and Pass4sure dumps

  • Post
  • Apple, on its Java Developer web site, tells us:

    Mac OS X is the only mass-market operating system that comes complete with a fully configured and ready-to-use Java evolution Kit. Professional Java developers are increasingly turning to the feature-rich Mac OS X as the operating system of choice for cross-platform Java evolution projects on the Macintosh and other platforms.

    Advertisement Java Preferences

    New Java releases however get their passage to every sole OS X users typically quite some time after their initial deployment for Solaris, Linux, and Windows. Java 1.5, auspiciously furthermore code-named “Tiger” was first released in late September 2004, while the Mac JDK came out to the public in an OS X Software update about a year later, in the profile of Release 3.

    With this said, it’s not uncommon for Apple to seed software earlier to ADC members of commandeer tiers, so if you’ve got to be on the bleeding edge, there are ways.

    Beyond those caveats, “Best Java Platform” is a vague assertion I requisite to qualify: Java’s essence is to be “cross-platform”, so there’s not much of a point in engaging in platform spitting contests unless they notice at a few specific practical aspects of Java development.

    As a developer, it gives me the warm fuzzies to know that the company that builds my computing platform of choice furthermore maintains and holds itself fully responsible for the flawless release of its own Java implementation.

    /Library/Java/Home/../.. shows us every sole versions of Java installed on Mac OS X. A set of simple symbolic links activate a version over another. It’s very clean. As Apple releases current versions, the installer updates this directory. With the Java 1.5 release, Apple introduced a pair of nifty tools in /Applications/Utitilies/Java/, where you’ll notice the J2SE 5.0 directory, with “Java Preferences” and “Java Cache Viewer”.

    Java IDEs, most of which are built in Java and are therefore cross-platform, with their support for standardized application deployment frameworks defined in J2EE, get cross-platform Java application evolution quite seamless. Most IDEs are however very RAM-hungry. For this and a few other reasons, a simple text editor combined with “ant” and/or a sturdy command-line interface (CLI) often makes a entire lot of practical sense in Java Development. In Windows-land, DOS is a horrible CLI. Many Windows users cope by installing Cygwin. But “Java is a Windows program, and as such, doesn’t recognize Cygwin-specific paths“.

    While Linux provides a sturdy evolution environment, it soundless isn’t quite as “nice” a Desktop operating system as Mac OS X. And Mac OS X being Unix, it feels just as nice on the command-line as Solaris, Linux, or FreeBSD.

    Java Preferences

    Apple’s embrace of Java goes far beyond the J2RE. Apple enables Java developers to derive their feet moist with OS X Application evolution by allowing them to write aboriginal Mac OS X apps … in Java!

    See also:

    JavaDoc Dashboard Widget

    Mac OS X For Java Geeks from O’Reilly.


    Mac Deployment Tools: An Overview of the Best Ways to Roll Out a current Mac Lab or Update an worn One | killexams.com actual questions and Pass4sure dumps

    New Macs, current versions of Mac OS X, current software, and current school years every sole translate to one thing for Mac IT staff: determining the best passage to roll out the current computers, software, classrooms, or configurations. Ryan Faas gives you an overview of the variety of tools available from Apple and third parties, and tells you how to roll out with less hassle and fewer headaches.

    Like this article? They recommend 

    Deployments are a Part of life for IT staff, be they deployments of current workstations, current applications or other configuration changes, or deployments of entire current labs and networks. Those working in education often disburse the days before a school year or current college semester readying classrooms and computer labs by doing computer cleanup and updates (essentially, wiping the arduous drives of workstations and then deploying a current system configuration onto them). Unfortunately, deployments can either be hassle-free or riddled with headaches without both proper planning and the proper tools. This article focuses on the proper tools for Mac IT staff charged with planning and managing deployments and rollouts.

    There are a number of tools and methods that are, by this point, considered tried and true, including the venerable Apple Software Restore in both network and local disk variations (along with several GUI front ends to ease the deployment process), Mac OS X Server’s NetInstall feature, Apple Remote Desktop, and the open source Radmind utility. furthermore included are workstation management tools such as FileWave and NetOctopus. We’ll notice briefly at each option, its methodology, and its pros and cons for various types of deployments.

    Apple Software Restore (ASR) has been a instrument for Mac administrators and technicians for nearly 20 years. In Mac OS X, ASR is a command-line instrument that is Part of every Mac OS X release. ASR uses disk images created with the Apple Disk Utility (or a similar tool) as a source of target workstations. It can overwrite an existing disk with a specified image. Because disk images accommodate a fully configured system (Mac OS X, installed application, system configuration, and so on), ASR allows you to quickly deploy read-to-use workstations. It is not, however, a particularly noble instrument for applying software updates or rolling out a sole or limited amount of applications.

    ASR can utilize a disk image stored on a local disk (such as a arduous drive or CD/DVD) as a source for deployments or it can utilize a disk image that is stored on a server. Being a command-line application, it is feasible to initiate ASR operations remotely. However, because the target arduous drive or partition will be overwritten as Part of the ASR process, workstations requisite to be started from an alternate Mac OS X boot disk (typically an external arduous drive or alternate partition).

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    How-to: Deploying PyQt applications on Windows and Mac OS X | killexams.com actual questions and Pass4sure dumps

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  • The open source Qt evolution toolkit is a favorite choice for cross-platform development. It provides native-looking widgets and tense integration with the underlying platform on Windows, Linux, and Mac OS X. Qt applications that are written in C++ are simple to compile and deploy across every sole three platforms, but what if you don't like C++? I prefer Python, a dynamic programming language with a richly meaningful syntax and exceptionally powerful support for introspection.

    Fortunately, there are cross-platform Python bindings for Qt. The downside, however, is that packaging PyQt applications so that they can be deployed to users on Windows and Mac OS X is an immensely frustrating and arcane process. I declared triumph terminal week after spending several hours battling with MacPorts and distutils. Now that I relish unlocked the toolkit's dim mysteries, I can divulge you the hidden secrets that will allow you to achieve mastery of the alchemical know-how of cross-platform PyQt application deployment.

    First, you'll requisite access to each platform for which you want to build redistributable packages. The easiest passage to accomplish this is to utilize a Mac and either triple-boot or virtualize Windows and Linux. The initial setup process for Mac OS X will require a lot of very massive compilation, so you are going to be in for a world of ache and a very long wait if you try to accomplish this on a Mac mini.

    My test application

    My computing environment is a quad core Mac Pro configured to dual-boot OS X and openSUSE 11.1. For Windows, I'm running XP in VirtualBox. I accomplish most of my actual evolution in Linux, but you can accomplish it pretty comfortably on any of the platforms.

    My test application, which I convene Orbital Liftr, is a simple utility that I made for batch uploading graphics to Ars Technica's content management system. The Ars CMS is built on Movable Type, which means that it supports the MetaWeblog XML-RPC API, and my app lets you upload images to any criterion Movable nature or WordPress blog that supports the API. The app has a few simple features like support for receiving images via drag-and-drop, and it can proportionally resize them before uploading.

    The program consists of one module of Python code which contains the application logic and a few basic user interface forms that I made with the Qt Designer program. I relish published the complete source code of the program on Launchpad. You can utilize it to supervene along with this tutorial, or you can utilize your own code.

    PyQt on Windows

    To build a distributable PyQt package for Windows, you first requisite to set up a working PyQt execution environment. Start by downloading and installing the criterion Qt SDK from the Qt Software website. Next, you will requisite to install Python 2.6.1. utilize the binary installer for Windows from the Python website.

    The next step is installing the Python bindings, which can be obtained from the download page at the PyQt website. You'll want to derive the Windows installer that is compatible with Python 2.6; it's listed at the bottom of the Binary Packages section.

    These components should be enough to give you a fully functional environment for running PyQt applications. You can test it by making a simple PyQt application with a few widgets in a sole .pyw file. If your PyQt environment installed correctly, you should be able to race the program by double-clicking the .pyw file in the file manager. There are several sample scripts that arrive bundled with the PyQt installation. These can be institute in the site-packagesPyQt4examples folder.

    Now that you relish a working PyQt environment, you requisite to package up the application so that you can dole it to users and get it feasible for them to race it without having to install every sole of the dependencies. This is done with a utility called py2exe that leverages Python's distutils framework. An installer for py2exe is available from the SourceForge website.

    You will requisite to lucky your setup.py script so that it can provide proper instructions to py2exe. If your program is simple and you already know how to utilize distutils, this shouldn't be terribly hard. The following sample shows my setup.py file:

    from distutils.core import setup import py2exe setup(name="liftr", version="0.1", author="Ryan Paul", author_email="segphault@arstechnica.com", url="https://launchpad.net/liftr", license="GNU universal Public License (GPL)", packages=['liftr'], package_data={"liftr": ["ui/*"]}, scripts=["bin/liftr"], windows=[{"script": "bin/liftr"}], options={"py2exe": {"skip_archive": True, "includes": ["sip"]}})

    Most of that is pretty much criterion distutils. The terminal two lines were added to accommodate py2exe. The "windows" parameter specifies the script that py2exe should utilize to launch the actual program. As you can see, for a simple program that is being ported from Linux, it's the same thing that you already relish in your "scripts" parameter.

    The "options" parameter allows you to pass specific instructions to py2exe. For PyQt applications, you will requisite to divulge it to include sip, a fundamental component of the PyQt binding system.

    The py2exe instrument will typically compress every sole of your required Python library modules into a sole zip file in order to reduce space and withhold your redistributable package clean. I disable that with the skip_archive option. My program dynamically loads the user interface description XML files at runtime, but it can't read those files when they are bundled up in the zip archive.

    When you are building PyQt applications with py2exe, you requisite to either statically generate your user interface modules from the XML description files in advance, disable archiving with the skip_archive option, or structure your program so that the UI files will not halt up in the archive.

    After you finish making your setup.py script, you can build your redistributable package by running it from the command line:

    $ python setup.py py2exe

    The terminal will display a lot of messages as it byte-compiles your modules and copies every sole of the necessary dll files and other dependency components. The automated setup process will retract condition in the "build" directory and everything that your users requisite will be copied into the "dist" directory. If the script won't execute, get confident that Python is in your PATH environment variable.

    To deploy your application to users, ship them everything that is in the "dist" directory. This adds up to roughly 25 MB for a simple program. It includes the executable and every sole of the runtime dependencies, which means that users will be able to race the program without having to install the other components.

    You can just zip it up and ship it out that way, but it will be more convenient for your users if you give them a sole self-standing executable with a criterion installer wizard. A lot of PyQt developers appear to like Inno Setup, a free installer maker.

    Although your users will not relish to manually install Qt or the PyQt bindings, they might soundless relish to install the VC++ 2008 Redistributable Package. This package is available directly from Microsoft.

    Deploying PyQt on Windows works reasonably well. Inno Setup uses noble compression, so you can derive your final package down to an acceptable size and get it simple for users to install. The biggest challenge is getting py2exe to deal appropriately with inescapable kinds of corner cases.

    If your application is complicated or structured in an unusual way, you might race into problems. For example, py2exe doesn't respect the distutils package_data option. There are a few workarounds for problems of that nature, and you can derive more details about py2exe from the project's website.

    PyQt on Mac OS X

    Deploying PyQt on Mac OS X was much harder than I initially expected. There are several tutorials out there that clarify how to deal with specific problems that people commonly encounter during the setup process. After much struggling, I managed to derive a working PyQt build environment set up on OS X by using information I discovered in several of the tutorials.

    The goal is to produce a totally self-contained app bundle that will allow users to drag your program into their /Applications folder and treat it like any other piece of Mac software. You can accomplish this with py2app, a utility that is very similar to py2exe. Unfortunately, you will encounter serious versioning problems if you try to get a PyQt app bundle with the aboriginal Python installation that is included with the operating system.

    After several fallacious starts, I discovered that the only passage to derive a PyQt environment that works properly with py2app is to compile the entire sanguineous stack from MacPorts. This is especially tricky because you relish to get confident to configure your environment to utilize the MacPorts version of Python before you utilize MacPorts to compile the PyQt bindings. If you accomplish this step at the wrong time, then nothing will work. I had to try three times before I got it right.

    The basic steps for using MacPorts to derive a PyQt environment were published by Aral Balkan in his py2app tutorial. The order in which he lists the steps did not travail for me because his instructions divulge you switch to the MacPorts version of Python at the wrong time. The result was that I consistently got a "Bus Error" when I attempted to race my program.

    I'm apparently not the first person to encounter this error. When I Googled the message, I discovered a really helpful blog entry by Horacio Mijail Ant�n Quiles. As he explains, the problem is caused when MacPorts uses the system's aboriginal Python installation to build the PyQt bindings. It's absolutely imperative that you configure the environment to utilize the privilege version of Python before you build the Python-based dependencies.

    To switch to the MacPorts Python installation, you relish to race the python_select command. After you utilize python_select, the desired Python environment will be used every time you invoke Python for the ease of the shell session. The following are exactly the steps that I took at the command line to derive a working PyQt setup on Mac OS X:

    $ sudo port install python25 $ sudo port install python_select $ sudo python_select python25 $ sudo port install py25-macholib-devel $ sudo port install py25-sip $ sudo port install py25-pyqt4 $ sudo port install py25-py2app-devel $ sudo port install py25-pyqt

    This will retract a very long time to compile, even on a mercurial computer. After it finishes, you will be able to test it by opening a terminal, running the "python_select python25" command, and then running a PyQt script from the command line.

    The process above will automatically compile and install py2app from MacPorts, so you won't relish to manually accomplish so with additional steps. After this process is complete, you'll be ready to build your app bundle. For py2app, you will utilize setuptools instead of distutils. This means that you relish to create a sever setup.py file. I convene mine setup-mac.py.

    The py2app suite comes with a utility called py2applet that you can utilize to automatically generate the setup.py file, but it's pretty simple to write one by hand. The following is my setup-mac.py file:

    from setuptools import setup setup( app=["liftr/liftr.py"], options={"py2app": {"argv_emulation": True, "includes": ["sip", "PyQt4._qt"]} }, setup_requires=["py2app"])

    The app parameter is the main Python module that you want the bundle to race when the program launches. The includes are the high-level components that you want the program to bundle; they requisite the sip binding layer and the actual PyQt4 bindings.

    The argv_emulation option is a nifty hack that will help aboriginal platform integration. When the user puts your app in their dock, they will be able to launch it by clicking it or by dragging and dropping files onto the icon. The argv_emulation option will retract the plenary paths of the files that are dropped onto the icon and translate them into argv parameters so that your application can process the files.

    After you finish writing your setup-mac.py file, you can race it from the command line:

    $ python setup-mac.py py2app

    This will byte-compile the modules and generate your app bundle. It will utilize the build directory for the construction process and then it will Put the output in dist, just like py2exe. The resulting app bundle is a soul-crushing 85MB. I tried several things to reduce the total size, but I didn't really relish much luck.

    I used the ditto instrument to denude out PPC code, but that didn't abate the size at all. Next, I tried Trimmit, which was able to scrape off about 10MB, but broke the program in the process. The only thing you can really accomplish to ameliorate the big executable size is compress the app bundle when you get it available for download. Zipping the app bundle reduced its size to about 30MB.

    My problems didn't halt there. Although the application worked fine on my own computer, it didn't entirely travail properly on other computers. The main problem is that jpeg thumbnails didn't render at all. After some troubleshooting, I discovered that Qt's jpeg image support is implemented in a plugin. I tried to Put the Qt plugin directory into my app bundle, but I couldn't derive it to work.

    I did some searching and I institute a recent blog entry about this problem written by Tory Hoke. She apparently never institute a solution to the problem and decided instead to travail around it by converting jpeg images to PNG on the fly. This is probably what I will accomplish too, because my program is already using PIL for some image transformations anyway. The want of support for plugins in py2app applications is a pretty colossal problem because it means that a lot of other censorious functionality, such as Phonon, isn't going to be accessible.

    It's worth noting that this same jpeg problem furthermore impacts Windows builds in some cases, but there is a working solution that will allow programs to utilize plugins on Windows.

    PyQt is clearly unsuitable for building distributable Mac applications, and you're probably better off taking a more aboriginal approach for Mac ports. For instance, you can utilize Apple's Cocoa bindings for Python to build a Mac GUI on top of your Python code. Apple provides plenary support for this throughout the aboriginal Mac evolution instrument stack, so you can accomplish it with XCode and Interface Builder.

    Some closing thoughts about PyQt

    My evolution framework of choice has traditionally been PyGTK+, so I'm soundless mostly at the toe-dipping stage with PyQt. My initial sense is that there are a lot of advantages to using PyQt and a lot of disadvantages.

    Qt itself is a significantly richer and more powerful toolkit than GTK+. It offers really robust and age implementations of notable features that the GTK+ developers are only just now soar to experiment with, such as comprehensive CSS theming, a powerful canvas with input redirection, tightly integrated support for the WebKit HTML renderer, and scriptable extensibility with JavaScript. Qt is furthermore more conducive to portability and provides a more aboriginal notice and feel on supported platforms.

    Although I'm pretty much sold on Qt, the Python bindings leave a lot to be desired. PyQt is not developed or supported by Nokia. It's a third-party commercial project (developed and maintained by Riverbank Computing) that is basically one colossal hack. There are some unearthly limitations in the APIs and the bindings relish a lot of really grotesque C++ idioms that seep through to the Python side. The most hideous wart is that you relish to Put the entire C++ fashion nature signature in a string when you bind a signal. If you Put in the nature data wrong, then the connection will silently fail.

    The other downside of the PyQt bindings is that they are soundless distributed under the GPL, unlike Qt, which was recently moved to the more permissive LGPL. This means that you relish to buy a commercial PyQt license from Riverbank Computing if you want to build proprietary software with the bindings.

    There are several useful tools that might be of value to PyQt application developers. There is a complete integrated evolution environment called Eric4 that is built with PyQt and is designed specifically for PyQt development. It has refactoring tools, a built-in graphical breakpoint debugger, basic autocompletion support, and a lot of other goodies.

    After spending several days working with PyQt and packaging the applications for deployment on Windows and Mac OS X, I feel that—despite its significant limitations—it's an acceptable solution for a inescapable class of applications. If you are looking for a toolkit for building a GUI on top of some existing Python code and you want to be able to deploy the program on Windows and Linux, then PyQt might accomplish the trick.



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