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9L0-619 - Mac OS X Deployment v10.5 - Dump Information

Vendor : Apple
Exam Code : 9L0-619
Exam Name : Mac OS X Deployment v10.5
Questions and Answers : 92 Q & A
Updated On : February 15, 2019
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9L0-619 Questions and Answers

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9L0-619 Mac OS X Deployment v10.5

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

Test Code : 9L0-619
Test Name : Mac OS X Deployment v10.5
Vendor Name : Apple
Q&A : 92 Real Questions

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Apple Mac OS X Deployment

Deploying sensible contract to Rinkeby testnet the usage of Truffle and mac OS X | Real Questions and Pass4sure dumps

Testnet as a place to check your wise solutions

There might be 2 articles about deploying sensible contracts:

  • moving contract from look at various RPC to Rinkeby testnet using truffle and Mac OS
  • Connecting to deployed contract 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 wise contracts with out paying precise expenses.

    There are a few leading testnets:

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

    One step left to birth! before relocating your contract to Testnet, be certain you've got put in geth, truffle and Mist.

    installation contract 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 all the time).

    To down load all chain statistics:

  • Open your finder, for instance at files.
  • Create new folder, rename it as “rinkeby” and open it.
  • Create a new folder inside rinkeby and get in touch with it as “chaindata”.
  • Open your terminal and go to documents/rinkeby with command:
  • $ cd documents/rinkeby/
  • and then to down load all chain statistics run subsequent command:
  • $ geth --datadir=./chaindata --rinkeby

    you are going to see 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, we need to pay for deploying out contract, so we want create ethereum account, because we ought to pay for this work with gas (don’t be concerned we can pay for no longer precise cash). So Mist will help us to do that.

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

  • To open Mist which can be related to our rinkeby community we are able to use 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 have installed Mist into my functions. So in my case it seems like this:

    $ /purposes/ --rpc /users/bomalkevych/files/rinkeby/chaindata/geth.ipc

    After this command you will see Mist’s banner:

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

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

    short Tip: in case you are looking to see 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 new 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 run next command:
  • $ eth.syncing

    it may return something like this:

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

    What ability what closing block became loaded or can return «false» what skill that full chain changed into loaded.

    Create a new pockets

    in case you have one that you may pass this step. a way to create a new pockets and control dollars step-through-step you could locate here.

    including dollars to a look at various account

    right through our chain is loading, we are able to add some ether to our account. To do 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 get dollars. In a couple of phrases:

  • opt for some social 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 (see reveal).
  • Add funds to your wallet
  • Wait while a block together with your transaction can be delivered to blockchain register (it will possibly take a couple of minutes). To determine fame of your transaction use etherscan.
  • Etherscan

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

  • Go to
  • Paste your wallet quantity as proven on reveal:
  • Scan transaction details
  • Open some transaction and notice fame. result may still be like:
  • illustration of transaction details install contract with Truffle

    When syncing will cease (in first tab):

  • Go to first tab in terminal and wreck syncing with (control+C) which we run all 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 we did on the begining of this section and unencumber our account. to be able to try this:

  • Open a new 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 last during this tab of terminal run subsequent command (as an alternative of 0x99a4572656eb49FFEEFbe9588… paste your wallet number):
  • $ own.unlockAccount("0x99a4572656eb49FFEEFbe9588...")
  • enter account password and press Enter. (it should return “authentic”)
  • Open a new tab within the terminal and go to your assignment folder in terminal.
  • finally to deploy your contract, use command:
  • $ truffle migrate --community rinkeby Troubleshooting

    First: if you need to redeploy your contract and you get a message like this:

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

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

    2nd: in case you get error message right through deploing which linked to gas restrict.

    check your truffle.js file you put gas price as: 6712390

    Apple concerns macOS 10.14.3 Supplemental replace | Real Questions and Pass4sure dumps

    Apple on Thursday up to date macOS Mojave with the unencumber of the macOS 10.14.three Supplemental replace. The replace 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 replace also 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, perform a backup of your information. listed here are the steps for the installation.

    1. within the Finder, click on the Apple menu and look for an replace indication for system Preferences, as proven within the picture beneath. if you see a demonstration for an update, select equipment Preferences.

    sytem preference update mojaveIDG

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

    2. make sure to be at the window for software replace. Your Mac will check on-line to look if the replace is attainable. whether it is, click on the replace Now button.

    3. A warning will seem, mentioning that your Mac will need to restart. click on down load & Restart in case you can proceed. The down load will take 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 replace Now button. A Restart button may additionally seem. click on it to proceed.

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

    Mac Deployment tools: a top level view of the highest quality ways to Roll Out a brand new Mac Lab or replace an old One | Real Questions and Pass4sure dumps

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

    Like this article? We recommend 

    Deployments are a part of life for IT body of workers, be they deployments of latest workstations, new applications or different configuration alterations, or deployments of total new labs and networks. these working in education often spend the times earlier than a school year or new 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 new equipment configuration onto them). unfortunately, deployments can either be bother-free or riddled with complications devoid of both correct planning and the correct equipment. this article focuses on the suitable equipment 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 couple 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 look 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 tool for Mac administrators and technicians for nearly two decades. In Mac OS X, ASR is a command-line tool 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 equipment (Mac OS X, installed utility, equipment configuration, and the like), ASR means that you can at once deploy study-to-use workstations. It is not, although, a particularly good tool for making use of application updates or rolling out a single or limited amount of purposes.

    ASR can use a disk image kept on a native disk (akin to a hard pressure or CD/DVD) as a source for deployments or it may well use a disk picture this is kept on a server. Being a command-line software, it's possible 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 make use 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 take some time.

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    OS X: Best Java Platform? | real 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 Development Kit. Professional Java developers are increasingly turning to the feature-rich Mac OS X as the operating system of choice for cross-platform Java development projects on the Macintosh and other platforms.

    Advertisement Java Preferences

    New Java releases however make their way to all OS X users typically quite some time after their initial deployment for Solaris, Linux, and Windows. Java 1.5, auspiciously also 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 form of Release 3.

    With this said, it’s not uncommon for Apple to seed software earlier to ADC members of appropriate 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 need 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 we look 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 also maintains and holds itself fully responsible for the flawless release of its own Java implementation.

    /Library/Java/Home/../.. shows us all 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 new versions, the installer updates this directory. With the Java 1.5 release, Apple introduced a couple 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, make cross-platform Java application development 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 strong command-line interface (CLI) often makes a whole 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 strong development environment, it still 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 get their feet wet with OS X Application development by allowing them to write native 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 New Mac Lab or Update an Old One | real questions and Pass4sure dumps

    New Macs, new versions of Mac OS X, new software, and new school years all translate to one thing for Mac IT staff: determining the best way to roll out the new 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? We recommend 

    Deployments are a part of life for IT staff, be they deployments of new workstations, new applications or other configuration changes, or deployments of whole new labs and networks. Those working in education often spend the days before a school year or new college semester readying classrooms and computer labs by doing computer cleanup and updates (essentially, wiping the hard drives of workstations and then deploying a new 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. Also included are workstation management tools such as FileWave and NetOctopus. We’ll look briefly at each option, its methodology, and its pros and cons for various types of deployments.

    Apple Software Restore (ASR) has been a tool for Mac administrators and technicians for nearly 20 years. In Mac OS X, ASR is a command-line tool 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 contain 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 good tool for applying software updates or rolling out a single or limited amount of applications.

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

    To use a disk image as a source for ASR, the image must first be "scanned" with the ASR application. The scanning process optimizes the image for use with ASR and can reorder portions of the image for faster copying. Depending on the size of the image, this process might take some time.

    How-to: Deploying PyQt applications on Windows and Mac OS X | real questions and Pass4sure dumps

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  • The open source Qt development toolkit is a popular choice for cross-platform development. It provides native-looking widgets and tight integration with the underlying platform on Windows, Linux, and Mac OS X. Qt applications that are written in C++ are easy to compile and deploy across all three platforms, but what if you don't like C++? I prefer Python, a dynamic programming language with a richly expressive 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 victory last week after spending several hours battling with MacPorts and distutils. Now that I have unlocked the toolkit's dark mysteries, I can show you the hidden secrets that will allow you to achieve mastery of the alchemical art of cross-platform PyQt application deployment.

    First, you'll need access to each platform for which you want to build redistributable packages. The easiest way to accomplish this is to use 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 heavy compilation, so you are going to be in for a world of pain and a very long wait if you try to do 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 do most of my actual development in Linux, but you can do it pretty comfortably on any of the platforms.

    My test application, which I call 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 standard Movable Type 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 have published the complete source code of the program on Launchpad. You can use it to follow along with this tutorial, or you can use your own code.

    PyQt on Windows

    To build a distributable PyQt package for Windows, you first need to set up a working PyQt execution environment. Start by downloading and installing the standard Qt SDK from the Qt Software website. Next, you will need to install Python 2.6.1. Use 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 get 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 single .pyw file. If your PyQt environment installed correctly, you should be able to run the program by double-clicking the .pyw file in the file manager. There are several example scripts that come bundled with the PyQt installation. These can be found in the site-packagesPyQt4examples folder.

    Now that you have a working PyQt environment, you need to package up the application so that you can distribute it to users and make it possible for them to run it without having to install all 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 need to adapt your script so that it can provide proper instructions to py2exe. If your program is simple and you already know how to use distutils, this shouldn't be terribly hard. The following example shows my file:

    from distutils.core import setup import py2exe setup(name="liftr", version="0.1", author="Ryan Paul", author_email="", url="", license="GNU General 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 standard distutils. The last two lines were added to accommodate py2exe. The "windows" parameter specifies the script that py2exe should use 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 have in your "scripts" parameter.

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

    The py2exe tool will typically compress all of your required Python library modules into a single zip file in order to reduce space and keep 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 need 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 end up in the archive.

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

    $ python py2exe

    The terminal will display a lot of messages as it byte-compiles your modules and copies all of the necessary dll files and other dependency components. The automated setup process will take place in the "build" directory and everything that your users need will be copied into the "dist" directory. If the script won't execute, make sure 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 all of the runtime dependencies, which means that users will be able to run 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 single self-standing executable with a standard installer wizard. A lot of PyQt developers seem to like Inno Setup, a free installer maker.

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

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

    If your application is complex or structured in an unusual way, you might run 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 get 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 explain how to deal with specific problems that people commonly encounter during the setup process. After much struggling, I managed to get 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 do this with py2app, a utility that is very similar to py2exe. Unfortunately, you will encounter serious versioning problems if you try to make a PyQt app bundle with the native Python installation that is included with the operating system.

    After several false starts, I discovered that the only way to get a PyQt environment that works properly with py2app is to compile the whole bloody stack from MacPorts. This is especially tricky because you have to make sure to configure your environment to use the MacPorts version of Python before you use MacPorts to compile the PyQt bindings. If you do 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 get a PyQt environment were published by Aral Balkan in his py2app tutorial. The order in which he lists the steps did not work for me because his instructions tell 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 run 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 native Python installation to build the PyQt bindings. It's absolutely imperative that you configure the environment to use the right version of Python before you build the Python-based dependencies.

    To switch to the MacPorts Python installation, you have to run the python_select command. After you use python_select, the desired Python environment will be used every time you invoke Python for the rest of the shell session. The following are exactly the steps that I took at the command line to get 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 take a very long time to compile, even on a fast 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 have to manually do so with additional steps. After this process is complete, you'll be ready to build your app bundle. For py2app, you will use setuptools instead of distutils. This means that you have to create a separate file. I call mine

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

    from setuptools import setup setup( app=["liftr/"], 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 run when the program launches. The includes are the high-level components that you want the program to bundle; we need the sip binding layer and the actual PyQt4 bindings.

    The argv_emulation option is a nifty hack that will improve native 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 take the full 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 file, you can run it from the command line:

    $ python py2app

    This will byte-compile the modules and generate your app bundle. It will use 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 have much luck.

    I used the ditto tool to strip out PPC code, but that didn't decrease 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 do to ameliorate the large executable size is compress the app bundle when you make it available for download. Zipping the app bundle reduced its size to about 30MB.

    My problems didn't end there. Although the application worked fine on my own computer, it didn't entirely work 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 get it to work.

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

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

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

    Some closing thoughts about PyQt

    My development framework of choice has traditionally been PyGTK+, so I'm still 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 mature implementations of important features that the GTK+ developers are only just now beginning 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 also more conducive to portability and provides a more native look 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 big hack. There are some weird limitations in the APIs and the bindings have a lot of really grotesque C++ idioms that seep through to the Python side. The most hideous wart is that you have to put the entire C++ method type signature in a string when you bind a signal. If you put in the type data wrong, then the connection will silently fail.

    The other downside of the PyQt bindings is that they are still distributed under the GPL, unlike Qt, which was recently moved to the more permissive LGPL. This means that you have 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 development 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 certain 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 do the trick.

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