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MB6-527 GP 10.0 Installation & Configuration

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MB6-527 exam Dumps Source : GP 10.0 Installation & Configuration

Test Code : MB6-527
Test cognomen : GP 10.0 Installation & Configuration
Vendor cognomen : Microsoft
: 60 true Questions

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Microsoft GP 10.0 Installation

Dont depend on Microsoft Dynamics GP's Secondary Controls | killexams.com true Questions and Pass4sure dumps

throughout my time as a expert, and whilst a controller, I’d long been a fan of constructing reporting as greatly purchasable as possible. This blanketed granting users big access to facts, with Payroll as an evident exception. The benefits to self-service reporting, dashboards, and analytics are so notable, I believed, that limiting the capacity to record on industry records felt enjoy limiting the corporation’s advantage.


Microsoft Dynamics GP 10.0 SP4 released | killexams.com true Questions and Pass4sure dumps

Microsoft has made the fourth provider pack for Dynamics GP 10.0 accessible for download. As of August twenty fourth, 2009, the Redmond company is allowing current version 10.0 of Dynamics GP shoppers to access the finalized version of SP4. The application colossal has managed to outdo itself when it comes prerogative down to the dawn of Dynamics GP 10.0 SP4. The provider pack became originally scheduled to hit a tad later this month, and the August 24 liberate capability that Microsoft definitely beat its own cut-off date for the official liberate (by way of Mariano Gomez, MVP highest international enterprise, LLC).

present Microsoft Dynamics GP 10.0 customers will find that the Redmond enterprise has dealt with a number of issues that affected previous releases of the company administration solution. on the equal time, SP4 is designed to add fresh points to Dynamics GP 10.0. exotic ACH Transactions (IAT) as neatly because the evolution of Extender forms and detail types at the second are purchasable by way of Microsoft Dynamics GP 10.0 carrier Pack four.

Following the combination of the newest carrier pack, the Dynamics dictionary build quantity could live bumped total of the method to 10.00.1368. Microsoft informed that a problem that survived into the ultimate version of Dynamics GP 10.0 SP4 would occasions the OLEPath in the Dex.ini to alternate from a customized status to the default local path. purchasers which acquire modified the OLE Notes default direction should gain unavoidable to check Dex.ini for every customer workstation.

There are two places from which Microsoft Dynamics 10.0 GP is available for download: customer source and associate supply. Gomez enumerated the enhancements to Extender types and factor varieties.

"Extender varieties Enhancements

Create fresh statistics entry forms for grasp files and transactions

Create SmartLists for each fresh form

Add word windows and notice checklist windows

Create conditional and calculated fields

Use lookups to link to any Microsoft Dynamics GP or third birthday celebration desk

Generate the subsequent grasp id numbers instantly

Add up to 50 further home windows for each and every form

Open linked applications from files

Use templates to default fields and boost statistics entry speed

Create multicurrency forms

Create viewsImport facts into varieties.

Extender factor varieties Enhancements

Create scrolling windows with up to 10 user defined fieldsImport facts into aspect forms

Add factor kinds as brief links on the domestic web page."


the way to construct an Azure Firewall in a Hub digital community | killexams.com true Questions and Pass4sure dumps

Design thought

during this design, the Azure Firewall could live deployed once prerogative into a hub virtual community. applications or capabilities should live deployed in spoke virtual networks. VNet peering (international peering is not supported), will connect the hub, the status the firewall is hosted, to the friends, where the functions/services are hosted.

The benefits of this design are:

  • services can live deployed across different virtual networks/resource corporations/subscriptions within the same tenant (governance & RBAC) but which you could nonetheless allow cozy communications between remoted services.
  • every packet flowing between functions is inspected and logged by using the Azure Firewall.
  • you acquire got a centralized Azure Firewall deployment instead of 1 firewall or community digital apparatus (NV) cluster per software/service deployment.
  • The position of community security can live separated from the roles of utility development & operations.
  • Deploying Azure Firewall into a hub & spoke virtual network architecture [Image Credit: Aidan Finn]

    Deploying Azure Firewall into a hub & spoke virtual network architecture [Image Credit: Aidan Finn]

    Deploying Azure Firewall into a hub & spoke virtual community architecture [Image Credit: Aidan Finn] Firewall virtual community

    here is a extremely benchmark digital community – a separate subnet, that need to live called AzureFirewallSubnet, is required to host the Azure Firewall. The firewall has a separate public IP handle, which live sure to notice for the “destination handle” in NAT rules, and a separate interior IP handle, which gain sure to note for creating route tables within the utility/functions subnets.

    in case your purposes can live cyber web dealing with and they require a committed public IP manipulate (see internet software gateway/firewall), then traffic from the cyber web will achieve into these functions without flowing during the firewall. despite the fact, traffic between functions must stream through the firewall, and this degree of isolation will comprise dangers and allow replete logging with centralized oversight & handle.

    NAT guidelines will allow you to present applications to the information superhighway by means of the PIP of the firewall. utility and/or network rules will allow you to manage the circulation of site visitors between the subnets and out to the external world.

    application virtual network(s)

    There are three things to reliance here:

  • Routing
  • external functions
  • The cost of peering – greater on this later.
  • you are going to attain lots of routing management in case you determine to install Azure Firewall, and you may attain big quantities of routing management if you deploy the Azure Firewall into hub-and-spoke structure. this is, to this point, the status I actually acquire spent most of my network troubleshooting time – usually it’s a route desk that I even acquire forgotten to associate with a subnet.

    in case you create a route table for every subnet with a simple path to 0.0.0.0/24 by means of the interior IP manipulate of the Azure Firewall. it might loom that every one traffic will route by means of the Azure Firewall, but in fact:

  • traffic within the source to destination within the equal VNet will flood without leisurely with out inspection via the Azure Firewall, however nevertheless realm to NSG filtering.
  • You could acquire chop up routing – any functions within the spoke VNets with a public IP address may acquire traffic are available via their PIP but exit during the Azure Firewall … and that received’t conclude smartly.
  • actually, you will want stronger control. One could create a route with a vacation spot of 10.0.0.0/16 by way of the interior manipulate of the Azure Firewall. That route will direct total traffic inside the VNets through the firewall but allow services to respond out via their respective inbound routes. however, this micro-segmentation will forward total traffic throughout the peering connections and that may raise network prices appreciably.

    A balancing act may live to forward total inter-VNet site visitors throughout the Azure Firewall but depart away total intra-VNet site visitors to dwell interior the VNet – and nonetheless live filtered by using the NSGs. To attain that, you're going to need greater advanced route tables. each route table will want a route for each and every VNet or subnet that it must communicate with. as an example, the route desk on 10.1.1.0/24 could acquire a route to 10.2.0.0/sixteen that passes in the course of the Azure Firewall’s interior IP tackle.

    VNet Peering

    The ultimate piece of the puzzle is VNet peering. each software VNet has peered with the Azure Firewall’s hub VNet. remember to correspond with just a few issues prerogative here:

  • can charge: VNet peering has a micro-cost. in case you may acquire massive flows of statistics throughout these peering connections then this can pervade will build up. live careful about micro-segmentation between subnets in the equal VNet; tiers of the identical service will communicate an dreadful lot but tiers of distinctive features typically only talk a bit, quite speaking. region your provider accessories into VNets with this in mind.
  • Peering configuration: you will create one peer connection from the hub to each and every spoke, and one connection from each and every spoke to the hub. When developing the spoke->hub connection you should enable “allow Forwarded traffic” to enable site visitors that the Firewall is routing to the spoke.
  • Governance: This design implies that one VNet should silent certainly not talk directly to an additional VNet. you should try to manage the advent of VNet peering connections.
  • including a Jumpbox

    if you require a bastion host to allow secured remote entry to your virtual machines then vicinity it into a different spoke digital network. gain sure you then permit site visitors from it to the other subnets the consume of network suggestions in the Azure Firewall. listed below are two issues to deem about:

  • accept as just with an RDS Gateway: certainly one of my college students counseled this to me in a class final yr. as a substitute of simply opening up RDS, enable certificates-secured RDP traffic to the virtual machines for your functions by way of the jumpbox which is working the RDS Gateway role (most effective, so no RDS licensing). this will scale out your means to travail across many capabilities without delay.
  • NAT or PIP? should your jumpbox acquire a committed PIP or NAT by the consume of the firewall? protection purists will opt for the NAT strategy. I determine on the PIP method, which you’ll discern in many Microsoft reference architectures; here is as a result of, even though there are complications that acquire an sequel on RDS or the Firewall, i will discern net into the network directly by means of the digital machine – attain gratify consume Azure protection center’s simply-In-Time VM entry.

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    GP 10.0 Installation

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    Installation sheperd for TensorFlow on macOS lofty Sierra 10.13.4 for your DeepLearning w/ Java, C, and depart | killexams.com true questions and Pass4sure dumps

    This installation particularly focuses on macOS lofty Sierra version 10.13.4. It’s likely that the installation may travail on previous version of macOS lofty Sierra. However, addressing the issues related to previous versions is not considered in this topic. There are several options to install TensorFlow on macOS.

  • Docker
  • Native Pip
  • Virtual Python environment
  • Installation of TensorFlow with Anaconda
  • Installation of TensorFlow for JDK
  • Installation of TensorFlow for depart with TensorFlow C Library
  • Docker

    The docker community edition is the preferred platform for building container based applications on macOS. There are pair of update channels available through Docker community edition such as Stable and Edge. The Docker CE supports both on-premise and cloud platforms. The Docker CE edition installation is compatible with AWS and Azure cloud platforms on CentOS, Debian, Fedora, Ubuntu, and Linux platforms. The installation of Docker on a mac machine does not move any machines created with the Docker machine. The fresh Docker for mac Hyperkit VM creates the virtual environment with the minimum hardware uphold of Mac hardware created no earlier than 2010 with Intel’s hardware uphold for virtualization of reminiscence management in unrestricted mode. The hardware uphold can live verified with the command sysctl kern.hv_support in the terminal. Any operating systems such as mac OS El Capitan or above are supported by Docker. However, macOS lofty Sierra resolved majority of the issues encountered from the earlier version of macOS. It’s recommended to acquire macOS lofty Sierra version 10.13.4 for minimizing the problems with docker installation. The system should live equipped with at least 4 GB RAM. Download the Docker Community Edition for macOS from the Docker Store. This may require creation of docker ID and password to live piece of the Docker Store.

    Figure 1. Docker Community Edition for macOS.

    Docker Community Edition for macOS dockerizes the applications on mac with Hypervisor framework, filesystem, and networking with a complete development environment. The Docker platform besides delivers developer tools for running command line, compose, and Docker notary command line with automatic updates pushed through the Docker development environment. Once the download of the docker is initiated on macOS, a sample docker hasten hello-world can live hasten to verify the validity of the Docker installation. The Docker installation now contains entire TensorFlow environment in a TensorFlow binary image. The Docker container can live launched with the following command:

    $ docker hasten -it -p hostPort:containerPortTensorFlowImage

    If the TensorFlow programs are hasten from the Shell, -p hostPort:containerPortwill live optional. In case of running the TensorFlow program from the Jupyter Notebook, the hostPort and containerPort can live set to 8888. Running embedding visualizations from TensorBoard insider the container will require setting the localhost to 6006. The TensorFlow binary images are besides available on DockerHub. The following command can live hasten to launch the TensorFlow programs from shell.

    $ docker hasten -it tensorflow/tensorflow bash

    The following command initiates setting the Jupyter environment for Docker container to hasten TensorFlow programs from Jupyter notebooks.

    $ docker hasten -it -p 8888:8888 tensorflow/tensorflow

    Native Pip

    The installation through endemic Pip expects a prior environment of either Python 3.X+ or Python 2.7. If macOS does not acquire Python environment, it has to live installed before attempting to install TensorFlow. Pip is for Python 2.7 and Pip3 is for Python 3.X version. You can identify the system version of Pip through the following commands.

    $ pip -V # for Python 2.7$ pip3 -V # for Python 3.n

    It’s always a sound notion to update the pip with the latest version:

    $ sudo easy_install –upgrade pip$ sudo easy_install –upgrade six

    Once, the installation or upgrade is successfully complete, TensorFlow can live installed with the following command based on the system environment:

    $ pip install tensorflow # Python 2.7; CPU uphold $ pip3 install tensorflow # Python 3.n; CPU support

    A short TensorFlow program can live hasten in the system after clearing the syntax to ensure that the installation has been successful and system has been set up with Tensorflow development environment.

    Virtual Python Environment

    Once the macOS terminal is started, the following instructions can live advantageous to complete the installation. The option three virtual Python environment is preferred. The following commands set up the installation of pip and virtual Python environment for TensorFlow.

    $ sudo easy_install pip $ pip install –upgrade virtualenv

    Once the virtual Python environment has been upgraded, the following commands can live leveraged to create the virtual Python environment.

    $ virtualenv –system-site-packages targetDirectory # for Python 2.7$ virtualenv –system-site-packages -p python3 targetDirectory # for Python 3.n

    The target directory will live the top of the virtual Python environment tree. By default, it would live ~/TensorFlow. However, it can live changed to any other directory based on the selection of the developer.

    The target directory needs to live activated as virtual python environment with either of the following commands:

    $ cd targetDirectory$ source ./bin/activate # If using bash, sh, ksh, or zsh$ source ./bin/activate.csh # If using csh or tcsh

    Once the above process is complete, the suffix of the source command changes to your target directory as follows:

    (targetDirectory)$

    The following commands can live leveraged to install TensorFlow:

    (targetDirectory)$ pip install –upgrade tensorflow # for Python 2.7 (targetDirectory)$ pip3 install –upgrade tensorflow # for Python 3.n

    Once the environment is created, it can live leveraged to hasten even Jupyter Notebooks.

    GPs-iMac:~ GP$ sudo easy_install pip

    Password:

    Searching for pip

    Best match: pip 10.0.1

    Adding pip 10.0.1 to easy-install.pth file

    Installing pip script to /anaconda3/bin

    Installing pip3 script to /anaconda3/bin

    Installing pip3.6 script to /anaconda3/bin

    Using /anaconda3/lib/python3.6/site-packages

    Processing dependencies for pip

    Finished processing dependencies for pip

    GPs-iMac:~ GP$ pip install –upgrade virtualenv

    Collecting virtualenv

    Downloading https://files.pythonhosted.org/packages/b6/30/96a02b2287098b23b875bc8c2f58071c35d2efe84f747b64d523721dc2b5/virtualenv-16.0.0-py2.py3-none-any.whl (1.9MB)

    100% |████████████████████████████████| 1.9MB 5.4MB/s

    Installing collected packages: virtualenv

    Successfully installed virtualenv-16.0.0

    GPs-iMac:~ GP$ virtualenv–system-site-packages -p python3

    Running virtualenv with interpreter /anaconda3/bin/python3

    You must provide a DEST_DIR

    Usage:virtualenv.py[OPTIONS] DEST_DIR

    GPs-iMac:~ GP$ virtualenv–system-site-packages -p python3 tensorflow

    Running virtualenvwith interpreter /anaconda3/bin/python3

    Using base prefix ‘/anaconda3’

    New python executable in /Users/GP/tensorflow/bin/python3

    Also creating executable in /Users/GP/tensorflow/bin/python

    Installing setuptools, pip, wheel…done.

    GPs-iMac:~ GP$ cd tensorflow

    GPs-iMac:tensorflow GP$ source /bin/activate

    -bash: /bin/activate: No such file or directory

    GPs-iMac:tensorflow GP$ source ./bin/activate

    (tensorflow) GPs-iMac:tensorflow GP$ easy_install -U pip

    Searching for pip

    Reading https://pypi.org/simple/pip/

    Downloading https://files.pythonhosted.org/packages/0f/74/ecd13431bcc456ed390b44c8a6e917c1820365cbebcb6a8974d1cd045ab4/pip-10.0.1-py2.py3-none-any.whl#sha256=717cdffb2833be8409433a93746744b59505f42146e8d37de6c62b430e25d6d7

    Best match: pip 10.0.1

    Processing pip-10.0.1-py2.py3-none-any.whl

    Installing pip-10.0.1-py2.py3-none-any.whl to /Users/GP/tensorflow/lib/python3.6/site-packages

    writing requirements to /Users/GP/tensorflow/lib/python3.6/site-packages/pip-10.0.1-py3.6.egg/EGG-INFO/requires.txt

    Adding pip 10.0.1 to easy-install.pth file

    Installing pip script to /Users/GP/tensorflow/bin

    Installing pip3 script to /Users/GP/tensorflow/bin

    Installing pip3.6 script to /Users/GP/tensorflow/bin

    Installed /Users/GP/tensorflow/lib/python3.6/site-packages/pip-10.0.1-py3.6.egg

    Processing dependencies for pip

    Finished processing dependencies for pip

    (tensorflow) GPs-iMac:tensorflow GP$ pip3 install –upgrade tensorflow

    Collecting tensorflow

    Downloading https://files.pythonhosted.org/packages/03/ad/d732a5d9d50bfcd8aeb6e4a266065a8868829388e4e2b529ff689f1fc923/tensorflow-1.8.0-cp36-cp36m-macosx_10_11_x86_64.whl (46.5MB)

    100% |████████████████████████████████| 46.5MB 426kB/s

    Collecting tensorboard<1.9.0,>=1.8.0 (from tensorflow)

    Downloading https://files.pythonhosted.org/packages/59/a6/0ae6092b7542cfedba6b2a1c9b8dceaf278238c39484f3ba03b03f07803c/tensorboard-1.8.0-py3-none-any.whl (3.1MB)

    100% |████████████████████████████████| 3.1MB 4.5MB/s

    Collecting termcolor>=1.1.0 (from tensorflow)

    Downloading https://files.pythonhosted.org/packages/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz

    Collecting gast>=0.2.0 (from tensorflow)

    Downloading https://files.pythonhosted.org/packages/5c/78/ff794fcae2ce8aa6323e789d1f8b3b7765f601e7702726f430e814822b96/gast-0.2.0.tar.gz

    Requirement not upgraded as not directly required: wheel>=0.26 in ./lib/python3.6/site-packages (from tensorflow) (0.31.1)

    Collecting astor>=0.6.0 (from tensorflow)

    Downloading https://files.pythonhosted.org/packages/b2/91/cc9805f1ff7b49f620136b3a7ca26f6a1be2ed424606804b0fbcf499f712/astor-0.6.2-py2.py3-none-any.whl

    Collecting grpcio>=1.8.6 (from tensorflow)

    Downloading https://files.pythonhosted.org/packages/68/57/da122cbfc1b7815381480b23044fff06b90f58c1be9310e68c2d6b1d623c/grpcio-1.12.1-cp36-cp36m-macosx_10_7_intel.whl (1.9MB)

    100% |████████████████████████████████| 1.9MB 6.3MB/s

    Collecting absl-py>=0.1.6 (from tensorflow)

    Downloading https://files.pythonhosted.org/packages/57/8d/6664518f9b6ced0aa41cf50b989740909261d4c212557400c48e5cda0804/absl-py-0.2.2.tar.gz (82kB)

    100% |████████████████████████████████| 92kB 17.7MB/s

    Requirement not upgraded as not directly required: six>=1.10.0 in /anaconda3/lib/python3.6/site-packages (from tensorflow) (1.11.0)

    Collecting protobuf>=3.4.0 (from tensorflow)

    Downloading https://files.pythonhosted.org/packages/6d/7e/51c91b28cb8446ebd7231d375a2025bca4c59d15ddc0cf2dd0867b400cd7/protobuf-3.6.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)

    100% |████████████████████████████████| 1.2MB 6.3MB/s

    Requirement not upgraded as not directly required: numpy>=1.13.3 in /anaconda3/lib/python3.6/site-packages (from tensorflow) (1.14.0)

    Requirement not upgraded as not directly required: werkzeug>=0.11.10 in /anaconda3/lib/python3.6/site-packages (from tensorboard<1.9.0,>=1.8.0->tensorflow) (0.14.1)

    Collecting bleach==1.5.0 (from tensorboard<1.9.0,>=1.8.0->tensorflow)

    Downloading https://files.pythonhosted.org/packages/33/70/86c5fec937ea4964184d4d6c4f0b9551564f821e1c3575907639036d9b90/bleach-1.5.0-py2.py3-none-any.whl

    Collecting markdown>=2.6.8 (from tensorboard<1.9.0,>=1.8.0->tensorflow)

    Downloading https://files.pythonhosted.org/packages/6d/7d/488b90f470b96531a3f5788cf12a93332f543dbab13c423a5e7ce96a0493/Markdown-2.6.11-py2.py3-none-any.whl (78kB)

    100% |████████████████████████████████| 81kB 19.7MB/s

    Collecting html5lib==0.9999999 (from tensorboard<1.9.0,>=1.8.0->tensorflow)

    Downloading https://files.pythonhosted.org/packages/ae/ae/bcb60402c60932b32dfaf19bb53870b29eda2cd17551ba5639219fb5ebf9/html5lib-0.9999999.tar.gz (889kB)

    100% |████████████████████████████████| 890kB 13.0MB/s

    Requirement not upgraded as not directly required: setuptools in ./lib/python3.6/site-packages (from protobuf>=3.4.0->tensorflow) (39.2.0)

    Building wheels for collected packages: termcolor, gast, absl-py, html5lib

    Running setup.py bdist_wheel for termcolor … done

    Stored in directory: /Users/GP/Library/Caches/pip/wheels/7c/06/54/bc84598ba1daf8f970247f550b175aaaee85f68b4b0c5ab2c6

    Running setup.py bdist_wheel for gast … done

    Stored in directory: /Users/GP/Library/Caches/pip/wheels/9a/1f/0e/3cde98113222b853e98fc0a8e9924480a3e25f1b4008cedb4f

    Running setup.py bdist_wheel for absl-py … done

    Stored in directory: /Users/GP/Library/Caches/pip/wheels/a0/f8/e9/1933dbb3447ea6ef57062fd5461cb118deb8c2ed074e8344bf

    Running setup.py bdist_wheel for html5lib … done

    Stored in directory: /Users/GP/Library/Caches/pip/wheels/50/ae/f9/d2b189788efcf61d1ee0e36045476735c838898eef1cad6e29

    Successfully built termcolor gast absl-py html5lib

    Installing collected packages: html5lib, bleach, protobuf, markdown, tensorboard, termcolor, gast, astor, grpcio, absl-py, tensorflow

    Found existing installation: html5lib 1.0.1

    Not uninstalling html5lib at /anaconda3/lib/python3.6/site-packages, outside environment /Users/GP/tensorflow

    Can’t uninstall ‘html5lib’. No files were create to uninstall.

    Found existing installation: bleach 2.1.2

    Not uninstalling bleach at /anaconda3/lib/python3.6/site-packages, outside environment /Users/GP/tensorflow

    Can’t uninstall ‘bleach’. No files were create to uninstall.

    Successfully installed absl-py-0.2.2 astor-0.6.2 bleach-1.5.0 gast-0.2.0 grpcio-1.12.1 html5lib-0.9999999 markdown-2.6.11 protobuf-3.6.0 tensorboard-1.8.0 tensorflow-1.8.0 termcolor-1.1.0

    (tensorflow) GPs-iMac:tensorflow GP$ conda install -c conda-forge tensorflow

    Solving environment: done

    ==> WARNING: A newer version of conda exists. <==

    current version: 4.4.10

    latest version: 4.5.4

    Please update conda by running

    $ conda update -n base conda

    ## Package design ##

    environment location: /anaconda3

    added / updated specs:

    – tensorflow

    The following packages will live downloaded:

    package | build

    — — — — — — — — — | — — — — — –

    mock-2.0.0 | py36_0 103 KB conda-forge

    certifi-2018.1.18 | py36_0 143 KB conda-forge

    libprotobuf-3.5.2 | 0 3.9 MB conda-forge

    tensorflow-1.1.0 | py36_0 24.8 MB conda-forge

    pbr-4.0.4 | py_0 61 KB conda-forge

    protobuf-3.5.2 | py36_0 603 KB conda-forge

    — — — — — — — — — — — — — — — — — — — —

    Total: 29.7 MB

    The following fresh packages will live INSTALLED:

    libprotobuf: 3.5.2–0 conda-forge

    mock: 2.0.0-py36_0 conda-forge

    pbr: 4.0.4-py_0 conda-forge

    protobuf: 3.5.2-py36_0 conda-forge

    tensorflow: 1.1.0-py36_0 conda-forge

    The following packages will live UPDATED:

    certifi: 2018.1.18-py36_0 –> 2018.1.18-py36_0 conda-forge

    Proceed ([y]/n)? y

    Downloading and Extracting Packages

    mock 2.0.0: ############################################################ | 100%

    certifi 2018.1.18: ##################################################### | 100%

    libprotobuf 3.5.2: ##################################################### | 100%

    tensorflow 1.1.0: ###################################################### | 100%

    pbr 4.0.4: ############################################################# | 100%

    protobuf 3.5.2: ######################################################## | 100%

    Preparing transaction: done

    Verifying transaction: done

    Executing transaction: done

    Installation of TensorFlow with Anaconda

    Though, Anaconda installation is supported by Anaconda and several other communities, it’s not officially supported by Google and TensorFlow organization. The issues with installation of Anaconda need to live resolved by contacting Anaconda. The Anaconda environment for macOS can live downloaded from Anaconda website. Once the download is complete, the conda environment with the cognomen of TensorFlow can live set up with the following command:

    $ conda create -n tensorflow pip python=2.7 # or python=3.3, etc.

    The conda environment can live activated with the following command.

    $ source activate tensorflow

    The following command can live leveraged to install TensorFlow inside conda environment.

    (targetDirectory)$ pip install –ignore-installed –upgrade TF_PYTHON_URL

    Tensorflow Installation with JDK.

    TensorFlow delivers APIs to travail with Java. If there’s an earlier version of Apache Maven, slight changes to the configuration file can allow to consume the TensorFlow JAVA APIs.

    <dependency> <groupId>org.tensorflow</groupId> <artifactId>tensorflow</artifactId> <version>1.8.0</version> </dependency>

    In case, there’s no Apache Maven project environment on the system, it has to live decided, if the installation should depart on Linux or macOS.

    TensorFlow Installation for depart Platform

    The TensorFlow installation for depart platform depends on the TensorFlow C library. It can live installed with the following command.

    TF_TYPE=”cpu” # Change to “gpu” for GPU support TARGET_DIRECTORY=’/usr/local’ curl -L \ “https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64–1.8.0.tar.gz” | sudo tar -C $TARGET_DIRECTORY -xz

    Once, the installation is complete, the depart platform with TensorFlow C library file will live installed to /usr/local/lib. depart net command will ensure to net total the necessary depart packages for Tensorflow with the following command.

    go net github.com/tensorflow/tensorflow/tensorflow/go

    Once, the installation is complete, it can live tested with a sample depart program.


    Pip 10.0 has been released | killexams.com true questions and Pass4sure dumps

    The release of pip 10.0 has been announced. Some highlights of this release include the removal of Python 2.6 support, limited PEP 518 uphold (with more to come), a fresh "pip config" command, and other improvements. From:   Paul Moore <p.f.moore-AT-gmail.com> To:   Distutils <distutils-sig-AT-python.org>, python-announce-list-AT-python.org, Python <python-list-AT-python.org>, pypi-announce-AT-python.org Subject:   Pip 10.0 has been released Date:   Sat, 14 Apr 2018 13:47:04 +0100 Message-ID:   <CACac1F-poTjztpe6CYJcxxay6ggWSxr=+rdCcPwn2TtEgLh90w@mail.gmail.com> Archive-link:   Article On behalf of the PyPA, I am pleased to declar that pip 10.0 has just been released. This release has been the culmination of many months of work by the community. To install pip 10.0, you can run python -m pip install --upgrade pip or consume get-pip, as described in https://pip.pypa.io/en/latest/installing. If you are using a version of pip supplied by your distribution vendor, vendor-supplied upgrades will live available in due course (or you can consume pip 10 in a virtual environment). (One minor issue with using get-pip on Windows - when you download get-pip.py, rename it to something that doesn't include "pip" in the name, such as "gp.py", as the benchmark cognomen triggers a check in pip that aborts the hasten - this is being tracked in https://github.com/pypa/pip/issues/5219). Highlights of the fresh release: * Python 2.6 is no longer supported - if you need pip on Python 2.6, you should tarry on pip 9, which is the ultimate version to uphold Python 2.6. * uphold for PEP 518, which allows projects to specify what packages they require in order to build from source. (PEP 518 uphold is currently limited, with replete uphold coming in future versions - see the documentation for details). * Significant improvements in Unicode handling for non-ASCII locales on Windows. * A fresh "pip config" command. * The default upgrade strategy has become "only-if-needed" * Many bug fixes and minor improvements. In addition, the previously announced reorganisation of pip's internals has now taken place. Unless you are the author of code that imports the pip module (or a user of such code), this change will not affect you. If you are affected, gratify report the issue to the author of the offending code (refer them to https://mail.python.org/pipermail/distutils-sig/2017-Octo... for the details of the announcement). Thanks to everyone who Put so much exertion into the fresh release. Many of the contributions came from community members, whether in the form of code, participation in design discussions, or bug reports. The pip development team is extremely grateful to everyone in the community for their contributions. Thanks, Paul -- https://mail.python.org/mailman/listinfo/python-announce-... uphold the Python Software Foundation: http://www.python.org/psf/donations/ (Log in to post comments)

    AirPlay on the Highway: Put AirPort Express in your Car for Wireless Audio Awesomeness | killexams.com true questions and Pass4sure dumps

    airport express in car

    Twitter software engineer Ben Novakovic, one of the guys who built They Are Hunted, which would eventually become Twitter #Music, is a clever person.

    In his spare time, Novakovic devised a way to modify an Apple Airport Express so that it runs efficiently in your car, allowing you or any of your passengers to play the music on their phone — or even stream it using Rdio, Spotify, Twitter #Music,  or any other app.

    This is awesome… at least until self-driving cars raze the party.

    It’s besides not the easiest thing in the world, but that is no intuition not to try it. And yes, they know, you can consume one of those converters that turns your car’s “cigarette lighter” power source into a benchmark household plug, and simply attach the AirPort Express to that, allowing you to draw off this trick by simply skipping down to Step Eight of this tutorial, where you tweak your phone and AirPort Express settings. However, as Novakovic told us, in that scenario “you are essentially converting from 12V DC -> 110V AC -> 3.3V DC which is a bit of a blow really, and inverters net inflamed and are just annoying as they can live quite large.”

    Good points.

    If you are bold enough to pop open an Apple AirPort Express and modify its innards, here’s how to hack Apple AirPort Express to Put AirPlay in your car, courtesy of their pal Ben. They edited his original post down a bit to clarify things for the non-technically-inclined, so if you want the unexpurgated version, depart here.

    I solved a #firstworldproblem today – wireless audio in my car.

    Basically, I was fed up with having so many cables floating around and getting tangled, and I wasn’t cheerful with the compressed audio trait with Bluetooth, so I decided to achieve up with a better wireless audio solution.

    Requirements:

  • AirPort Express – $99
  • Car with an aux input in the stereo and a free “cigarette lighter” power plug
  • Star/Torx screwdriver – $8
  • Regular screwdriver – you already acquire one.
  • USB cable – they total acquire spares of these too.
  • Some benchmark wires
  • 5V to 3.3V DC stepdown converter - $4
  • A soldering iron & some solder – $8
  • Super glue – $5
  • Cigarette lighter-to-USB converter: $5-$15
  • A cramped electrical tape – $5
  • 1. Open the AirPort Express

    Okay, profound breath. First, you’ll need to modify the AirPort Express so that it draws power from a USB cable, instead of its customary household plug. In this post to the North American Subaru Impreza Owners Club forum, user “enjoiful” describes one technique for this, which Evolver.fm paraphrases as follows (you might want to check out his or her photos too, for assist with this part).

    To pop open the AirPort Express, stick your regular screwdriver in the seams of the AirPort Express at the corners and try some twisting and prying motions. It should pop open easily.

    2. Deal with the Boards

    Unscrew total of the circuit boards from the AirPort Express. You can net rid of the L-shaped power supply, because we’re going to wire the USB power to the 5V-to-3.3V converter and consume that instead.

    3. Open the Cable

    Cut the USB cable, and peel the wrapping towards the larger plug (the one that normally connects to your computer), because you want to uphold that side. This will divulge four wires:

  • Green : USB Data
  • White : USB Data
  • Red : +5V DC
  • Black : Ground
  • 4. Soldering!

    We are only interested in the red and black wires inside of that USB cable, because there’s no data coming over the USB cable. After threading the wires through the cavity in the side of the AirPort Express (pictured above), solder the black one onto the ground of the AirPort Express (see photos below).

    Then, connect the red one to the VIN (voltage input) wire of the stepdown converter, which is green in this photo, and tape around that connection enjoy this:

    The stepdown converter has an output wire leading out of it, which is blue in the above photo. Solder that to the power input of the AirPort Express, as pictured above.

    Finally, solder the stepdown module’s ground wire (green in the above photo) to the AirPort Express’s ground. So, that’s two wires connected to the AirPort Express’s ground connection; they’re black and green.

    When you’re done with total the soldering, you should live looking at something enjoy this:

    5. Superglue

    You’ve made it through the hard part, hopefully without melting your brain or burning down your house. Congratulations! Now, you’ll want to super-glue everything into status so that it doesn’t jiggle around, potentially causing the solder to break, as you drive over their cities’ pothole-riddled streets.

    6. Snap It Together, Tape Over the Hole

    Snap the AirPort Express back together. Then, consume another cramped bit of electrical tape to seal up the cavity on the edge of the AirPort Express, so that dirt and dust doesn’t net in there, enjoy so:

    7. Connect It To Your Car

    It’s time to consume this thing. Put it in your car, connect the USB power cable to a cigarette lighter adapter, and plug that into your car.

    Then, prefer the audio cable that came with the AirPort Express and connect that to your car’s input. But wait! You’re not done yet, because you’ll need to set up the AirPort Express and your iPhone or iPad the prerogative way (or Android, because those can totally uphold AirPlay, as unearthly as that is).

    8. Configure the AirPort Express

    This looks a bit convoluted, but it’s not, and you only acquire to attain it once.

    With the AirPort Express powered up and running, fire up Apple’s AirPort Utility on your laptop, in the car. (You can besides attain this before tackling any of the steps above, but they wanted to gain sure you gain it this far before bothering with the software tweaks.) AirPort Utility will display your modified AirPort Express in a list similar to this:

    Click the device and select ‘Edit.’ First, give it a cognomen & a password so you can connect to it later to configure it.

    Click the ‘Internet’ tab. elect “Connect Using: DHCP,” and leave everything else blank:

    Then click ‘Internet Options.’ In the Configure IPv6 option, elect Local-link only and hit ‘Save’:

    Now, head over to the ‘Wireless’ tab. You want to set the network mode to ‘Create a wireless network,’ and give it a name. Select your security even and give it a password – this will live the password you and your friends will consume to connect their devices to your car’s wireless audio system:

    Click ‘Wireless Options,’ gain sure the details loom correct for your region, and press ‘Save’:

    Almost done. You’ll need to select the ‘Network’ tab and set the Router Mode to ‘DHCP and NAT,’ enjoy this:

    Then, click ‘Network Options’ and set the DHCP Lease time to 1 day. Set the IPv4 DHCP achieve to 10.0.1.2 to 200, and gain sure ‘Enable NAT Port Mapping Protocol’ is selected. Hit ‘Save’:

    Okay, now click the ‘AirPlay’ tab. gain sure ‘Enable AirPlay’ is checked. You can give the the speaker a different cognomen if you wish, but I just left it the same as my AirPort Express WiFi name. You can besides set an AirPlay password, but there’s no point, really, because people will already need a password to connect in the first place:

    Click ‘Update’ to near the dialog and drop you back to the main AirPort screen. From here, you will discern the cramped icon next to the cognomen as an orange dot, and the light on the front of the device will besides live orange. To cease this from happening, click the device in the AirPort utility (as per the first screenshot in this section), and click each of the warnings that loom and select ‘ignore,’ as they don’t keeping about them.

    This will circle the cramped light green, and you’re almost ready to go. And remember, you won’t acquire to attain any of the stuff above this again — it’s locked and loaded. However, you attain silent need to set up your iPhone for this to work, too.

    9. Configure your iPhone or iPad (or Android)

    You need to gain your iPhone, iPad, or Android connect to the AirPort Express to forward music, but to the cellular data network for everything else (including streaming music). We’re going to walk through the instructions for iOS here; Android people using these apps or these ones can apply similar principles on that platform.

    Open the iOS Settings menu, tap WiFi, and tap fresh AirPort Express network. This will connect the iPhone or iPad to your fresh car-based WiFi network — but you’ll find that because the AirPort Express doesn’t acquire an internet connection, the Internet won’t travail on your phone. But they can fix that. Tap the blue arrow next to the cognomen of the AirPort Express WiFi network to view more options.

    From the following screen, select ‘Static’ as the sort of IP address, and then enter the following IP address and Subnet Mask:

    IP Address : 10.0.1.4 (for example) Subnet Mask: 255.255.0.0

    Make sure you leave Router, DNS, and Search Domains blank! This tells the iPhone that it should consume its cellular network to route internet traffic rather than trying to attain it via WiFi.

    And you’re done! Just one thing to uphold in wit here though: When you’re connected on your AirPort Express WiFi network, the ‘data’ icon at the top of your iOS screen won’t stare enjoy the WiFi network symbol, the way it normally does when connected to WiFi. Instead, you’ll discern the cellular icon — E, 3G, 4G or LTE, depending on your data plan. Never fear, your phone is actually connected to the WiFi network for the purposes of AirPlay, just enjoy they want it to be:

    Just for fun, here’s what it looks enjoy when you play music from the iOS music app, Spotify, and Rdio:

    Now, whenever you net into your car, you can simply change the iPhone settings slightly, and you’ll live up and running. And any other passengers in your car with iOS can prefer over as DJ whenever they want. cheerful hacking!

    Photos: Ben Novakovic

    More Evolver.fm tutorials



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