Conda Install Tensorflow Gpu Mac

As you become more familiar with the package, and speed and processing power become more critical, the GPU version may be more formidable, permitting you have the. Tensorflow has been updated to use a different version of CUDA. After the activation, the terminal will change to this (tf_2) $. conda install -c anaconda tensorflow Description TensorFlow provides multiple APIs. Select the target package and click Install Package. Where packages, notebooks, projects and environments are shared. For a beginner, setting up a Python environment and installing packages are little intimidating. We support CPU and GPU packages on Linux, Mac, and Windows. Anaconda is the standard platform for Python data science, leading in open source innovation for machine learning. Installing from sources: Install TensorFlow by building a pip wheel that. 导语:这个文档说明了如何在 Mac OS X 上安装 TensorFlow。 雷锋网(公众号:雷锋网)按:本文原作者Enachan。本文原载于作者的GitHub。译者投稿,雷锋网. Same as the above Windows installation, but select for Mac-OSX version. Gensim depends on the following software: Python >= 2. $ sudo apt- get install libcupti-dev. compat module is deprecated and will be removed in a future release. 6 и установить предыдущую версию, вы можете создать среду conda для Python = 3. conda install -c anaconda tensorflow-gpu ・Install graphviz with Anaconda. These are very quick instructions for installing Docker under Mac OSX and for running Tensorflow on it. 5 on Windows (while on Linux and Mac You can use TensorFlow with Python 2. Follow this instruction to install python and conda. 我的GPU是GTX660,因此選擇使用GPU加速的版本(GPU版本會自動安裝CUDA) P. To uninstall a package. After installing Jupyter and Keras, we can now launch Jupyter Notebook with the following command: Copy the download files into your environment directory. Если вы не хотите удалять дистрибутив Anaconda для Python 3. There are various ways to install Theano dependencies on a Mac. 1 or higher in order to install TensorFlow. Arthur Van Loo Год назад wich version of anaconda do you need to install. Besides being faster and simpler to use for Tensorflow, conda provides other sets of tools that makes it so much easier to integrate into your workflow. The method we'll use to install TensorFlow in this video will only install the core TensorFlow libraries. To solve this, make sure to use Python 3. 仮想環境を作成するためにcondaを使用できます。 ただし、Anacondaでは、pip install コマンドではなく conda installでTensorFlowをインストールすることをお勧めします。 ※ condaパッケージはコミュニティでサポートされており、公式にはサポートされていません。. The easiest way to install SciPy, NumPy, Matplotlib on Windows; Install matplotlib in Windows; StackOverflow: Broken Matplotlib installation, Conda Update Did not Work; Can't find python path. The installation procedure will show how to install Keras: With GPU support, so you can leverage your GPU, CUDA Toolkit, cuDNN, etc. This tutorial is for building tensorflow from source. activate tf-gpu-new conda install tensorflow-gpu conda install keras-gpu. Aber das war nicht der Fall ist - in meinem System importieren tensorflow (ohne dass die Umgebung zu aktivieren). None of the other steps mentioned online helped, I found it here when trying to install an older version. This post is talking about how to setup a basic developing environment of Google's TensorFlow on Windows 10 and apply the awesome application called "Image style transfer", which is using the convolutional neural networks to create artistic images based on the content image and style image provided by the users. Here is How To Install Jupyter Notebook and TensorFlow On Ubuntu 18. Once the installation complete, you can test that it was successful by launching python and running a short TensorFlow test. The lookups package is needed to create blank models with lemmatization data, and to lemmatize in languages that don't yet come with pretrained models and aren't powered by third-party libraries. 04 USB 이미지 생. com替换为https:mirrors. tensorflow GP$ conda install -c conda-forge tensorflow TF_TYPE=”cpu” # Change. Metapackage for selecting a TensorFlow variant. Install Jupyter as follows $ conda install jupyter 2. 1, where you can still do pip install tensorflow-gpu. 0,今天凌晨,正式放出了2. How to install TensorFlow on Anaconda - Easiest method to follow by TopBullets. As tensorflow can use GPU,you may need to look at what's supported. Mac上用pip装了tensorflow,但是在sublimetext中没办法import。 tensorflow-gpu为何无法调用GPU进行运算? Ubuntu系统,想用pip install. 1 along with CUDA Toolkit 9. conda上面目前有人已经做好了tensorflow的pkg,但是版本不一定最新,且只有CPU版本,不支持GPU。 步骤也是首先激活conda环境,然后调用conda install 语句安装. conda install tensorflow Replace tensorflow with tensorflow-gpu if you want the GPU enabled version. To test your tensorflow installation follow these steps: Open Terminal and activate environment using 'activate tf_env'. GPU needs CUDA Packages (including the main bin files of CUDA 8 / 9). source activate tensorflow. 5 activate tensorflow conda install jupyter conda install scipy pip install tensorflow-gpu Use pip install tensorflow in place of pip install tensorflow-gpu, in case if you want to install CPU only version of TF. For a beginner, setting up a Python environment and installing packages are little intimidating. 2 安装扩展库时以前都是pip install 库名(如keras);有了conda后可以用conda命令安装:conda install 库名(如keras) 3 conda可以创建不同的python环境,也就时说我们可以在conda中国创建不同的python环境,实现电脑同时安装python2 python3的目的. How that is achieved is by using VirtualEnv - which allow you to install any customized packages into the virtualenv directory. Let’s get started. (tf_2) $ pip install --upgrade tensorflow==2. 0 with GPU support. Find out more about it here https://conda-forge. Same as the above Windows installation, but select for Mac-OSX version. ), that aims to simplify package management and deployment. Eventhough the steps mentioned in the link seems to be for MAC OS X/Linux it worked in windows 7. 1 with CUDA 8 and cuDNN 6 to calculate just how faster the. For a Macbook, you may see different solutions depend on different system versions. Installation Tensorflow Installation. install_keras(tensorflow = "gpu") Windows Installation. With TensorFlow 2. 5, so we need to install that as well. 실행시 출력되는 avx 등의 CPU extension에 대한 warning을 안보이게 설정 # Just disables the warning, doesn't enable AVX/FMA import os os. 1 For Linux。. That is, the TensorFlow team neither tests nor maintains the conda package. If you have Windows 10, you can use something called “Linux subsystem”: Install the Linux Subsystem on Windows 10 - you can get Ubuntu from Windows app store just like any other Windows app, and then install TF there. 4 Install a Theano environment (Optional) You can skip this step if you don't plan to experiment with Keras configuration and will always stick Tensorflow as its underlining engine. 윈도우 텐서플로우 설치 env 생성 아래와 같이 쳐서 새로운 env를 생성할 수 있다. conda create -n tensorflow python 3. 0上使用GPU训练你的模型. It is recommended, but not required, that your Mac have an NVIDIA GPU in order to harness the full power of PyTorch’s CUDA support. Python Packages & Conda Environment Quantum ESPRESSO R RAxML Ruby SAMtools Scala Scythe STAR SUNDIALS TBB Tensorflow with GPU Trim Galore! Vasp Example Job Submission (PBS) Scripts Example Job Submission (PBS) Scripts Basic Example Script abaqus. Stop installing Tensorflow using pip! Use conda instead. The TensorFlow site now has instructions for installing TF with conda, using either the conda-forge CPU-only version, or using conda and pip together to install GPU enabled binaries from Google into a conda environment:. 0比PyTorch更好用,已经准备全面转向这个新升级的深度学习框架了。. According to TensorFlow “don't build a TensorFlow binary yourself unless you are very comfortable building complex packages from source and dealing with the inevitable aftermath should things not go exactly as documented”. 请尽量安装版本较新的python。 安装Python包管理器. GPU-equipped personal computers with CUDA-capable GPU with compute capability higher than 3. Nevertheless, sometimes building a AMI for your software platform is needed and therefore I will leave this article AS IS. Anaconda install tensorflow mac keyword after analyzing the system lists the list of keywords related and the list of websites with related content, in addition you can see which keywords most interested customers on the this website. 6 и установить предыдущую версию, вы можете создать среду conda для Python = 3. 1 이상의 버젼이어야 한다. No install necessary—run the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. pip install tensorflow-gpu==2. Select your preferences and run the install command. conda create -n tensorflow0121(env 이름, 지정) python=3. 1 as follows: library (tensorflow) install_tensorflow ( version = "1. If you have a GPU installed and you want Magenta to use it, you will need tofollow the Manual Install instructions, but with a fewmodifications. Check package list (conda list) of the environment to see if this is the case. when using conda env update, it creates the fastai conda env based on environment. $ pip install tensorflow. n $ pip install --upgrade tensorflow-gpu # for Python 2. environ['TF_CPP_MIN_LOG_LEVEL'] = '2'. 0; To install this package with conda run one of the following: conda install -c conda-forge tensorflow DA: 8 PA: 90 MOZ Rank: 73 How to install TensorFlow on Anaconda – Easiest method to. 1、使用pip可以安装特定版本的tensorflow,比如 pip install tensorflow-gpu==1. Ich nahm an, dass, wenn ich in der Lage wäre, Tensorflow in der Conda-Umgebung zu importieren und zu verwenden, dass ich in der Lage sein werde, dasselbe in Jupyter zu tun. Supports Windows, OSX, and Ubuntu. 如果想要安装tensorflow cpu版本,可以直接conda install tensorflow. 7 > pip install --upgrade "tensorflow. Thanks to some awesome continuous integration providers (AppVeyor, Azure Pipelines, CircleCI and TravisCI), each repository, also known as a feedstock, automatically builds its own recipe in a clean and repeatable way on Windows, Linux and OSX. This is a summarized version of the longer explanations given on the official TensorFlow Install page:. 为了编译并运行能够使用 GPU 的 TensorFlow, 需要先安装 NVIDIA 提供的 Cuda Toolkit 7. Note: This installation has been tested with Anaconda Python 3. Those guides are important to understand how to install graphics driver and installing in basic way. Without GPU support, so even if you. Installing Tensorflow Nightly Builds. 0 to support TensorFlow 1. With pip or Anaconda’s conda, you can control the package versions for a specific project to prevent conflicts. TIP:这将会打开一个新的浏览器窗口。 如果已安装了 TensorFlow,则可以调用 pip install--upgrade tensorflow 进行升级。. 0,而你当前的setuptools版本为40. A general description about how to install further Python packages using Anaconda can be found here. But, if you have a GPU in your systam and the binary file is build based on CPU version of the tensorflow you will not be able to use the GPU version. 3 install TensorFlow 1. It won't install the additional components needed to take advantage of a video card's GPU to accelerate. 7 # Python 3. This is a summarized version of the longer explanations given on the official TensorFlow Install page:. Install Jupyter as follows $ conda install jupyter 2. conda install tensorflow-gpu GPU版本的TensorFlow因为依赖的包比较多,需要的时间较长,由十几分钟到几十分钟不等。 无论是CPU版本还是GPU版本,在安装完成后,都可以使用以下代码测试TensorFlow是否正常安装。. deactivate conda remove --name tensorflow --all conda create --name tensorflow numpy scipy scikit-learn pillow h5py mingw libpython activate tensorflow This time, I used the following 2 commands to install only the missing dependencies, and leave the already installed packages intact. 5 at the end of the first line, because it will install Python 3. 可以在下载安装完成后,使用如下程序测试你的cpu版本: import tensorflow as tf. conda create --name tensorflow python=3. Click on the gear icon, and click Create Conda Environment. When TensorFlow was first released (November 2015) there was no Windows version and I could get decent performance on my Mac Book Pro (GPU: NVidia 650M). There are various ways to install Theano dependencies on a Mac. (py3_tf_gpu) $ pip install tensorflow-gpu 정식버전 출시로 인하여 아래와 같이 정식버전을 설치 할수도 있습니다. conda install nb_conda nb_conda가 설치 되었다면, jupyter notebook에서 상단에 conda 탭이 뜨고, 이 탭안에서 개별 패키지 관리를 브라우져 상에서 할 수 있습니다. The purpose of this blog post is to demonstrate how to install the Keras library for deep learning. To install tensorflow GPU on Windows is complicated especially when compared to Mac or Linux OS. 解决python调用TensorFlow时出现FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecate 最近因为要做一个基于深度学习的人脸识别项目,要用到TensorFlow,但是下载完成后后发现import tensorflow总是出现FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood a. When you download the Python 3. 1; win-64 v1. 5 activate tensorflow conda install jupyter conda install scipy pip install tensorflow-gpu utiliser pip install tensorflow à la place de pip install tensorflow-gpu , dans le cas où vous voulez installer CPU seule version de TF. 2 and cuDNN 7. 接下来你可以选择安装CPU版本tensorflow,也可以安装GPU版本tensorflow。 先说CPU版本的tensorflow。输入以下命令:. x version, it comes with the pip3 package manager (which is the program that you are going to need in order for you use to install TensorFlow on Windows) How to Install TensorFlow on Windows: 7 Steps. If its there go to the site-packages folder,within that env folder and look for tensorflow, is it there?. source activate tensorflow. The method we'll use to install TensorFlow in this video will only install the core TensorFlow libraries. TensorFlowのGPU版 tensorflow-gpu (2018年6月時点は最新がv1. conda install tensorflow Replace tensorflow with tensorflow-gpu if you want the GPU enabled version. Verify that it works. Nevertheless, sometimes building a AMI for your software platform is needed and therefore I will leave this article AS IS. Luckily, it's still possible to manually compile TensorFlow with NVIDIA GPU support. If the checkbox is selected, the packages will be installed into the specified directory. When TensorFlow was first released (November 2015) there was no Windows version and I could get decent performance on my Mac Book Pro (GPU: NVidia 650M). These instructions are an extract from A Beginner's Guide to Machine Learning with Unity. pip install cupy pip install tensorflow-gpu. Determine your python path:. ), that aims to simplify package management and deployment. TensorFlowには、以下の2種類があります。 TensorFlow with CPU support only(以降、CPU版TensorFlow) TensorFlow with GPU support(以降、GPU版TensorFlow) どちらをインストールしても機械学習は行えるのですが、それでも片方を選択しなければいけません。. Install TensorFlow 2. We support CPU and GPU packages on Linux, Mac, and Windows. 7GHz 显卡: GT 650m 系统:OSX 10. Once anaconda is installed, you can install the remaining software from a command line. Without GPU support, so even if you. In Anaconda, you may use conda to create a virtual environment. One key benefit of installing TensorFlow using conda rather than pip is a result of the conda package management system. py from the github of CVPR 2017 paper "Unsupervised Monocular Depth Estimation with Left. 极客学院团队出品 · 更新于 2018-11-28 11:00:43. conda install -c anaconda tensorflow-gpu (2019년 3월 5일 기준 )이렇게 설치하면 현재 아나콘다 패키지에 나와있는 최신 버전인 TensorFlow 1. First you have to restart your computer then: In terminal type python and enter:. Firstly, We should notice that, at the time I'm writing this article, TensorFlow is only available for Python 3. 然后激活:conda activate tf. I have a NVIDIA graphics card and would like to configure my tensorflow and keras to utilize this. With pip or Anaconda’s conda, you can control the package versions for a specific project to prevent conflicts. Если вы не хотите удалять дистрибутив Anaconda для Python 3. 安装Python 是大家:Mac下使用python zhuanlan. conda install tensorflow 如果你想用 GPU 驱动的版本,就把 tensorflow 替换为 tensorflow-gpu。 除了能让使用 TensorFlow 更快更简单这两个好处之外,Conda 还提供了一些列的工具,能让它更容易地整合到你的工作流中。. Enable GPU Card. tensorflow — 仅限 CPU 的当前版本(推荐给初学者). Conda on Ubuntu/Mac (Python from Anaconda) $ conda activate tf_2. I hope you have successfully installed the tensorflow- gpu on your system. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. 04和win10双系统,下载并安装了anaconda3,在用conda安装tensorflow时报错,出现WARNING: The conda. conda create -n tensorflow python 3. 本篇文章就带领大家用最简单地方式安装TF2. This is the recommended installation method for most users. 5 #or python=2. conda install tensorflow 如果你想用 GPU 驱动的版本,就把 tensorflow 替换为 tensorflow-gpu。 除了能让使用 TensorFlow 更快更简单这两个好处之外,Conda 还提供了一些列的工具,能让它更容易地整合到你的工作流中。. conda install -c conda-forge tensorflow Fetching package metadata. docker pull tensorflow/tensorflow # Download latest image docker run -it -p 8888:8888 tensorflow/tensorflow # Start a …. Install Anaconda Open terminal and type one-by-one the following commands conda create -n EnvName python=3. You will create a new conda environment that includes the necessaries libraries you will use during the tutorials about TensorFlow. Thanks to some awesome continuous integration providers (AppVeyor, Azure Pipelines, CircleCI and TravisCI), each repository, also known as a feedstock, automatically builds its own recipe in a clean and repeatable way on Windows, Linux and OSX. The TensorFlow Python API supports. 5 activate tensorflow pip install tensorflow-gpu. where anaconda. conda create --name tensorflow python=3. Install 64 bit and choose Windows, Mac or Linux. For audio/video support also install gstreamer and gst-plugins-base on OSX and Ubuntu, or ffpyplayer on all platforms. conda install -c conda-forge tensorflow This means that my Python installation of TensorFlow. 新建tensorflow环境步骤: 在anaconda prompt里键入:conda create -n tf python=3. I was having Python 3. 13 GPU Support - Tensorflow_Build_GPU. NVIDIA GPU CLOUD. 6 и установить предыдущую версию, вы можете создать среду conda для Python = 3. せっかくTensorFlow用のPython仮想環境(”tensorflow_p36″)を作ったのでJupyter notebookから利用できるようにします。まずPython仮想環境側にもJupyter notebookを入れる必要があるため (tensorflow_p36) C:\Users\(ユーザ名)> conda install notebook ipykernel. tensorflow GP$ conda install -c conda-forge tensorflow TF_TYPE=”cpu” # Change. It will automatically install all the needed packages. Hi Sam, very nice write-up on creating an R environment using conda. TensorFlow provides multiple APIs. conda install tensorflow. Installing Tensorflow Nightly Builds. 10 · anaconda, python, tensorflow. 2、升级到最新GPU版本 pip install --upgrade tensorflow-gpu. Perform the following installations: conda install jupyter; pip install sklearn. I have also tried. From there we will create a virtual environment called dl4cv and install OpenCV, TensorFlow, and Keras into the environment. We have worked with Continuum Analytics* to make it easy to use Intel® Distribution for Python and the Intel® Performance Libraries (such as Intel® Math Kernel Library (Intel® MKL)) with the Conda* package manager and Anaconda Cloud*. # Note that if not specify “-n yourenvname ” will install the package to the root Python installation. 5 activate tensorflow conda install jupyter conda install scipy pip install tensorflow or pip install tensorflow-gpu It is important to add python=3. To install a. 2からGPU版が正式配布されていないのでソースからコンパイルしてみたという話。 注意 2018年10月現在、MacOS10. 5 on Windows (while on Linux and Mac You can use TensorFlow with Python 2. 0(这个版本是你执行php install tensorboard时默认的)需要setuptools版本>=41. 12 and source activate tensorflow-gpu-1. With pip or Anaconda’s conda, you can control the package versions for a specific project to prevent conflicts. A basic understanding of Linux commands; Install TensorFlow. 5를 추가하는 것이 중요합니다. 请尽量安装版本较新的python。 安装Python包管理器. Using module load tensorflow-gpu/py36/1. But, if you have a GPU in your systam and the binary file is build based on CPU version of the tensorflow you will not be able to use the GPU version. 0 and cuDNN 7. conda install tensorflow | conda install tensorflow | conda install tensorflow-gpu | conda install tensorflow probability | conda install tensorflow 2. The examples can be installed separately on both Python 2 and 3 with this single wheel:. As of this time, tensorflow-gpu, for Windows, doesn't support CUDA 9. 7 pip3 install tensorflow-gpu # Python 3. Find out more about it here https://conda-forge. 0 Upgrade pip & six to the latest ones. conda install -c anaconda tensorflow-gpu ・Install graphviz with Anaconda. so file elsewhere, or those who do not wish to modify their TensorFlow. pip install tensorflow # pip install tensorflow-gpu conda install pandas matplotlib scikit-learn pip install keras conda install jupyter notebook TensorFlow를 GPU 버전으로 사용할 수 있다면pip install tensorflow-gpu로 설치한다. 2、升级到最新GPU版本 pip install --upgrade tensorflow-gpu. TensorFlow supports computations across multiple CPUs and GPUs. The following source is from the Chinese ZhiHu forum PyTorch在64位Windows下的Conda包. In this tutorial, you will discover how to set up a Python machine learning development. conda install -c r r-essentials If you want your Anaconda environment to show up in Jupyter, you will need to add it. 15 release, CPU and GPU support are included in a single package: pip install --pre "tensorflow==1. Add conda-forge to the list of channels you can install packages from. Perform the following installations: conda install jupyter; pip install sklearn. conda install -c anaconda tensorflow-gpu This is the best way to install tensorflow-gpu regardless of dependencies problems. 0版本。 不少网友表示,TensorFlow 2. 0: No module named '_pywrap_tensorflow' Short notes: if you got trouble importing tensorflow 1. To finish the installation, I need to disable System Integrity Protection (SIP). For audio/video support also install gstreamer and gst-plugins-base on OSX and Ubuntu, or ffpyplayer on all platforms. I might be missing something obvious, but the installation of this simple combination is not as trivia. But, if you have a GPU in your systam and the binary file is build based on CPU version of the tensorflow you will not be able to use the GPU version. Conda¶ If you prefer using a command line interface (CLI), you can use conda to verify the installation using Anaconda Prompt on Windows or terminal on Linux and macOS. TensorFlow 的 GPU 特性只支持 NVidia Compute Capability >= 3. Eventhough the steps mentioned in the link seems to be for MAC OS X/Linux it worked in windows 7. Choose one of the following TensorFlow packages to install from PyPI: tensorflow —Latest stable release for CPU-only (recommended for beginners) tensorflow-gpu —Latest stable release with GPU support (Ubuntu and Windows) tf-nightly —Preview build (unstable). 3 conda install tensorflow 4. com These packages are available via the Anaconda Repository, and installing them is as easy as running “conda install tensorflow” or “conda install tensorflow-gpu” from a command line interface. 0, we advise to install the CPU version of Tensorflow, skip steps "Install CUDA and GPU drivers" and "Install cuDNN"). Tensorflow GPU 설치 본격적으로 Tensorflow의 GPU 버전을 설치합니다. pip是Python包管理工具,可以很方便的安装一些软件。我们在安装Python的时候已经自动安装了pip,现在可以直接在CMD中执行以下命令安装TensorFlow。 CPU版本: pip install tensorflow. 13 - tensorflow Use "conda info " to see the dependencies for each package. Besides being faster and simpler to use for Tensorflow, conda provides other sets of tools that makes it so much easier to integrate into your workflow. TensorFlow: TensorFlow for ROCm - latest supported version 1. There used to be a tensorflow-gpu package that you could install in a snap on MacBook Pros with NVIDIA GPUs, but unfortunately it’s no longer supported these days due to some driver issues. 6。 conda install python=3. Follow one of the installation procedures to get Intel-optimized TensorFlow. Description: Since Google Tensorflow claimed that tensorflow-gpu no longer supports MAC OSX since 1. Preview is available if you want the latest, not fully tested and supported, 1. org/install/install_mac を参考に、Anacondaベースでインストールする 基本の流れ 先立って、Anacondaを. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. If you prefer to have conda plus over 720 open source packages, install Anaconda. (using pip and build from source) pip: could not find a version that satisfies the requirement TensorFlow build from source: 1. ディープラーニングの計算量は比較的大量になることが多いので,GPUを使用しないと非常に時間がかかることになるので,Keras を使用するにはGPU(NVDIA のグラフィクスカード GTX シリーズ)を利用することが効果的です.. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: