How To Install Nltk In Anaconda Prompt

Have installed NLTK and used both command line and manual download of stop words. For Conda environments you can use the conda package manager. Installing NLTK on Windows 10 In this tutorial we are going to install NLTK on Windows 10 with the pip tool. How can I install NLTK on Windows 8. Dec 23, 2017. If one does not exist it will attempt to create one in a central location (when using an administrator account) or otherwise in the user’s filespace. Here's how to install a whl package in the Anaconda Python distribution from Continuum Analytics. Not claiming to be any sort of expert, but this worked just now on my windows computer. If you are using Windows: 1. With Anaconda Enterprise, you can do the following:. If you’re dealing with Anaconda, you may also want to check how to install a package using Anaconda. Also if that doesn't work (it happened to me with other modules), try from the Anaconda prompt: pip install -U gensim. org, a package management service for both public and private package repositories. You must have three things to run Ghostscript: The Ghostscript executable file; on some operating systems, more than one file is required. Removing stop words with NLTK in Python The process of converting data to something a computer can understand is referred to as pre-processing. 1 MB | win. Please try again later. Examples of text classification include spam filtering, sentiment analysis (analyzing text as positive or negative), genre classification, categorizing news articles, etc. For Conda environments you can use the conda package manager. They work similar to regular expressions and are used to divide strings into lists of substrings. yml file to install dependencies; Use pip to add TensorFlow; Launch Jupyter Notebook; To run Tensorflow with Jupyter, you need to create an environment within Anaconda. From what I recall (it's been a loooong time ago when I wrote this post!) when you install Anaconda to your laptop at the beginning, it either automatically create the PATH environmental variable for you (or ask if you wish to add it - say "yes" in that case). Watch Now This tutorial has a related video course created by the Real Python team. Translate from German to English in Python with Keras, Step-by-Step. Or you could just use anaconda and type 'conda install nltk'. Exploring the NLTK Book Corpus with Python Installing NLTK library. If the installation is successful, a blank prompt is returned. a bundle of software to be installed), not to refer to the kind of package that you import in your Python source code (i. Install Anaconda. In this tutorial you will learn Installing NLTK in Windows Installing Installing NLTK through Anaconda NLTK Dataset How to Download all! Firmware Software Downloads AUKEY. 4 and python 3. pip problema di installazione di quasi qualsiasi libreria. exe for 32-bit systems and Anaconda-2. There are many ways of doing it (thus adding to the confusion); this lesson introduces one of the easiest and most common ways of installing python modules. This article shows how you can classify text into different categories using Python and Natural Language Toolkit (NLTK). The easiest way to set up an environment is by installing Anaconda. Assuming that we've done everything correctly, this should take a few minutes to fetch the packages in question from the PyPi index, install them and their dependencies (some of which overlap, e. It provides a high-level interface for drawing attractive and informative statistical graphics. Neural machine translation is the use of deep neural networks for the problem. If you're new to Python, new to Command Prompt, and new to anything non-Windows, then you're going to need a hand with that first step. NLTK Corpora. Have installed NLTK and used both command line and manual download of stop words. Anaconda is a data science platform that comes with a lot of useful features right out of the box. To install a package from Anaconda. Step 4: Install NLTK Step 4a: Open up Power Shell. Here, we show you how to have complete control over what packages that are used across the many different compute nodes in our environment. org is an Anaconda product, just like Anaconda and Miniconda. Method 1 : Yes you can use anaconda navigator for installing new python packages. This example provides a simple PySpark job that utilizes the NLTK library. Set JAVA_HOME. The downloader will search for an existing nltk_data directory to install NLTK data. Time to install more libraries. In most use cases the best way to install NumPy on your system is by using an installable binary package for your operating system. _url = url or self. default: unzip or not? """ import time, os, zipfile, sys, textwrap, threading, itertools, shutil, functools import subprocess from hashlib import md5 from xml. com), but we will need to use it to install the ‘stopwords’ corpus of words. If so, you may have noticed that it's not as simple as. If not, it tries to install them (it fails if you are not online). Additional patches are also needed to HDF5 to get HDF5 and Python to work together. In its default configuration, conda can install and manage the thousand packages at repo. This becomes handy compared to install Python from scratch using package management system like Macports or Homebrew on macOS. For a brief introduction to the ideas behind the library, you can read the introductory notes. We are going to install IDLE IDE for both Python 2 and Python 3. NLP is a field of computer science that focuses on the interaction between computers and humans. It comes with NLTK,scikit-learn ect pre-installed. NLTK and Stopwords I spent some time this morning playing with various features of the Python NLTK , trying to think about how much, if any, I wanted to use it with my freshmen. The name of this file varies, but normally it appears as Anaconda-2. One of the major forms of pre-processing is to filter out useless data. 04 LTS ” and share your feedback if you face any issues. Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from Your Data — Dipanjan Sarkar. Review the package upgrade, downgrade, install information and enter yes. As far as I understood, stanford parser allows us just to create tree, but how to get dependencies in sentences from this tree I didn't find out (maybe it's possible, maybe not) So I've started using MaltParser. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. A complete list of packages can be found here. 7 anaconda", because using virtualenv with Anaconda is untested and not recommended (according to the warning in the terminal, I don't know. To uninstall Anaconda, you can do a simple remove of the program. If you already have a Python environment and are using pip to install packages, you need to run. Just type Windows key + "R": 3. Overview of how to install Ghostscript. 9 or Python 3 >=3. How to use it, see the documentation. you should add python to your PATH during installation of pythonafter installation. It provides a high-level interface for drawing attractive and informative statistical graphics. Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Sometimes, the package and the module have the same name, but in many cases, they don’t match. Setup a python workspace to start working with satellite data (1/2) Open the terminal and check the conda and python. Installing Anaconda; Setting up TensorFlow using Anaconda Prompt. Install gensim and nltk into Virtualenv This post introduces how to install gensim and nltk into a virtualenv. That is to say K-means doesn’t ‘find clusters’ it partitions your dataset into as many (assumed to be globular – this depends on the metric/distance used) chunks as you ask for by attempting to minimize intra-partition distances. Installing Anaconda is not only very easy, but it also gives you access to various other tools. The version number is embedded as part of the filename. 03/13/2019; 6 minutes to read +3; In this article. Anaconda, Inc. All packages available in the latest release of Anaconda are listed on the pages linked below. Preliminaries¶. pip install –-upgrade nltk. PyCharm is a dedicated Python Integrated Development Environment (IDE) providing a wide range of essential tools for Python developers, tightly integrated together to create a convenient environment for productive Python, web, and data science development. NLTK is a popular Python package for natural language processing. Abre el "Anaconda Prompt" (puede buscarlo por buscando "Anaconda" en el menú de Incio de Windows) Crea un virtual env; conda create -n yourenvname python=x. NLTK - the Natural Language Toolkit, can be very useful for text mining and language processing tasks. A complete list of packages can be found here. _index_timestamp > self. First, download Anaconda. Learn how to install python NLTK on Windows. SciPy depends on NumPy), and compile any required C extensions. When I am using the print() method it is printing new data in next line. Cannot import nltk 3. 949399, and decorated with @autojit and running it in Anaconda also takes a lot more time than Cpython. Machine translation is a challenging task that traditionally involves large statistical models developed using highly sophisticated linguistic knowledge. When I am using the print() method it is printing new data in next line. pip install jupyter_client ipykernel numpy pandas matplotlib. Now you can import. Let's know how to make function in Python to print data in the same View Questions/Answers. com), but we will need to use it to install the ‘stopwords’ corpus of words. at the command prompt, cd into the dir where the unzipped pip file is, and run "python setup. To use these within NLTK we recommend that you use the NLTK corpus downloader, >>> nltk. The Natural Language Toolkit (NLTK) is a Python package for natural language processing. Then try from nltk. This dataset is available from NLTK. 3 and install python 2. Then set the path variable for pip in the Windows environment variables. Feel the Magic of Anaconda with R and Scala – If you are R programmer or Scala Developer and love to code with Anaconda packages , You can also access it. Anaconda Enterprise 5¶ Anaconda Enterprise is an enterprise-ready, secure and scalable data science platform that empowers teams to govern data science assets, collaborate and deploy their data science projects. The NLTK library comes with a standard Anaconda Python installation (www. Or from the command line: conda update astroid astropy Updating Just the Packages in the Standard Anaconda Distribution. Install a recent version of XCode, including the so-called "Command Line Tools". Take care that you don’t confuse packages with modules. Just type Windows key + “R”: 3. If you are an NLP or machine learning enthusiast and an intermediate Python programmer who wants to quickly master NLTK for natural language processing, then this Learning Path will do you a lot of good. Anaconda will likely take a while to install, so make sure you have a good cup of tea while you wait! Step 3: Install Jupyter and iPython. Here is the read out for tensorflow:. -Windows-x86_64. Create Anaconda Virtual Environment using the command: conda create -n python=3. Anaconda package lists¶. If you have a CDH cluster, you can install the Anaconda parcel using Cloudera Manager. $ brew remove mssql-tools $ brew install mssql-tools Install Anaconda. In particular, we will cover Latent Dirichlet Allocation (LDA): a widely used topic modelling technique. 10 with multiple versions of python installed - python 2. Installing packages manually to anaconda package manager. - hoefling May 5 '18 at 10:18. If you’re using an unregistered Python environment, you’ll usually end up with an empty list of alternatives on the installer’s “ Select Python installation to use ” screen. Conda is a powerful tool that makes it easy to: install whatever python packages you want; create a personal environment to use these packages. Anaconda2配置nltk库环境:condainstallnltk国内使用nltk. download() we will get NLTK-downloader window through which we can download all the package needed for further processing in Natural Language Processing Tool Kit. Running NLTK in Jupyter Notebooks. The Anaconda parcel provides a static installation of Anaconda, based on Python 2. download() function is probably going to download multiple 100mb of data, which will max out your free account storage limits. Learn Python, JavaScript, DevOps, Linux and more with eBooks, videos and courses. 7, that can be used with Python and PySpark jobs on the cluster. The foremost thing you must have to install the NumPy is that you should download and install Python on your windows. Start ipython 4. In particular, Anaconda Distribution contains re-distributable, run-time, shared-library files from the Intel(TM) Math Kernel Library ("MKL binaries"). - hoefling May 5 '18 at 10:18. If so, do nothing. 7 isn't exactly smooth: some functions do not work, and the textbook examples sometimes produce different results. Chocolatey integrates w/SCCM, Puppet, Chef, etc. Choose whether to register Anaconda as your default Python. Easiest way to install idle on Ubuntu is to use apt-get install command from the command line. Following Install Packages to Anaconda Python, create a conda environment to hold packages that are not a part of the Anaconda distribution. -Windows-x86. See Option A. However, to perform Data Science Tasks, one can install python and then install packages using pip as required. NLTK now provides three interfaces for Stanford Log-linear Part-Of-Speech Tagger, Stanford Named Entity Recognizer (NER) and Stanford Parser, following is the details about how to use them in NLTK one by one. However, we do have. Is the leading open data science platform and is the recommended tool for use with Theano. If you prefer to have conda plus over 720 open source packages, install Anaconda. By default, Chrome selects the downloading page of your system. Write a file with a program and save, say myprog. Set Up the Python IDE. Watch it together with the written tutorial to deepen your understanding: Installing Python on Windows, macOS, and Linux To get started working with Python 3, you'll need to have access to the Python interpreter. If you are using Windows or Linux or Mac, you can install NLTK using pip: $ pip install nltk You can use NLTK on Python 2. To install NLTK with Anaconda, use the following command in the terminal from Anaconda:. Learn how to install and set up Jupyter, a popular data science tool, and some of the many other analysis tools you can get for free in Fedora. how to purge python 3. (More on this in a moment. 5 version of Anaconda which includes Python 3. Anaconda, Inc. 3) Ipython notebook will open in your browser. In the last article of the series - Introduction to Python , I have mentioned that, Python is available on most of the Linux distributions, nowadays, normally Python version 2. 04; To install this package with conda run one of the following: conda install -c conda-forge nltk_data. If you choose to install a full version of Python and set up the development environment in Cygwin, you need to install both Cygwin and Python individually. 10, having installed Python 3. Then set the path variable for pip in the Windows environment variables. Related course. I've been trying to solve this problem for the last couple of hours, without luck. Installed Python 3. Just type Windows key + "R": 3. While installing Python 3 don’t forget to tick the option “Add Python 3 to your path” when the installation prompt opens. Here are some of your options (by no means all of them), listed from most basic to most advanced. And many have faced this issue and Jake VanderPlas has a blogpost late 2017 showing How to Install Packages from the Jupyter Notebook for both Anaconda and pip managers. Finally , We have Python Anaconda Packages in which we need not to install these packages separately , One Anaconda for all solutions. # Check if the index is aleady up-to-date. I've tried: conda install stop-words. downloader popular, or in the Python interpreter import nltk; nltk. If you read the article ,You will be able to implement Sentiment extractor at your own. The Natural Language Toolkit (NLTK) is a Python package for natural language processing. Jupyter notebooks will then display a list of folders on your computer. In Python, as with Java and its derivatives, you're always importing some established code into your project. Launch Command Prompt. 2) by typing: conda update anaconda conda update anaconda-navigator. request module defines functions and classes which help in opening URLs (mostly HTTP) in a complex world — basic and digest authentication, redirections, cookies and more. SQL Server 2017 comes with the option to include Python (Anaconda) during SQL Server installation. NLTK is one of the leading platforms for working with human language data and Python, the module NLTK is used for natural language processing. org, a package management service for both public and private package repositories. In order to check the packages that are installed with Anaconda, navigate to the command line and enter the conda list command to quickly display a list of all the packages installed in the default environment. If you’re unsure of which datasets/models you’ll need, you can install the “popular” subset of NLTK data, on the command line type python -m nltk. Install NLTK: run “$sudo pip install -U nltk“ Install Numpy (optional): run”$sudo pip install -U numpy“ Test. The installer has an option to set that up for you. That is, using Python, you can fetch an html webpage (using a module such as urllib2), and then obtain meaningful information out of the html file (using the BeautifulSoup module). import nltk nltk. Abre el "Anaconda Prompt" (puede buscarlo por buscando "Anaconda" en el menú de Incio de Windows) Crea un virtual env; conda create -n yourenvname python=x. 6 and Anaconda. Try the following command at the Python prompt: >>> import _tkinter # with underscore, and lowercase 't' If it works, go to step 2. Either way just use either of the following commands in your command line. NLTK 大概是最知名的Python自然语言处理工具了,全称"Natural Language Toolkit", 诞生于宾夕法尼亚大学,以研究和教学为目的而生,因此也特别适合入门学习。. 7 billion in 2017, It is helping more than 12,000 clients. Just say '!pip'. Natural Language Processing Applications Stop Words. The Natural Language Toolkit (NLTK) is a Python package for natural language processing. I'm trying to learn how to work with a specific API and I need JSON to do it. For most Unix systems, you must download and compile the source code. Accept all of the defaults in the installer. For me, I prefer Spyder and sometimes Visual Studio. Type cmd on the run window 4. An amazing article on sentiment Analysis Python Library TextBlob. Chocolatey is trusted by businesses to manage software deployments. Note that on some Linux distributions including Ubuntu and Fedora the pip command is meant for Python 2, while the pip3 command is meant for Python 3. For that Open command prompt or anaconda prompt then type, >>>nltk. 5 version of Anaconda which includes Python 3. Udemy is an online learning and teaching marketplace with over 100,000 courses and 24 million students. 1) Download and install canopy on your computer. The Docker installation will install everything of the way you can now install the Python code via Pip, Anaconda or GitHub: NLTK data from the command line:. If not, it tries to install them (it fails if you are not online). Luckily, you are not alone. On a Mac using Python 3. Accept all of the defaults in the installer. How to install Python support in Visual Studio on Windows. Beginners Tutorial for How to Get Started Doing Data Science using Servers provided us with a background of why using servers are useful for data scientists and how setup and connect to a server using SSH. 6, and PySpark. $ brew remove mssql-tools $ brew install mssql-tools Install Anaconda. Jupyter is a notebook style interface for interactive coding. We will make use of Anaconda and Jupyter in this lesson. We will be using the English language model. If you read the article ,You will be able to implement Sentiment extractor at your own. Setup a python workspace to start working with satellite data (1/2) Open the terminal and check the conda and python. Launch Command Prompt. Command line and environment 1. Actually, we won't demonstrate it during the in-class demo, but you can see its utility in tutorials such as this and this, as well as the documentation on the NLTK site. To launch Jupyter, open your Anaconda Prompt and type jupyter notebook. Conda is a powerful package manager and environment manager that you use with command line commands at the Anaconda Prompt for Windows, or in a terminal window for macOS or Linux. In Spyder you can use the PYTHONPATH manager for this: Tool > PYTHONPATH Manager and add the path to your nltk module. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. If you want to install Python together with all the packages we will use, I recommend Anaconda. Anaconda is running in isolated environments, so. The following script registers the current interpreter. 7 isn't exactly smooth: some functions do not work, and the textbook examples sometimes produce different results. or you can also update to the latest anaconda distribution (4. sudo apt-get install default-jdk That is everything that is needed to install Java. It is tempting to try out the executing commands from Jupyter cell, like # don't try !conda install --yes numpy to install numpy from Jupyter cell. If you're new to Python, new to Command Prompt, and new to anything non-Windows, then you're going to need a hand with that first step. One of the easiest way is to use pip command line tool. Installing NLTK on Windows 10 In this tutorial we are going to install NLTK on Windows 10 with the pip tool. Open your editor of choice, say Atom 2. This article discusses the Python programming language and its NLTK library, then applies them to a machine learning project. 4; win-32 v3. This facility carries over to Pandas. Install Anaconda; Create a. _index is None or url is not None or time. Let's know how to February 16, 2019 at 3:48 AM. corpus impor. Interface options. NLTK 大概是最知名的Python自然语言处理工具了,全称"Natural Language Toolkit", 诞生于宾夕法尼亚大学,以研究和教学为目的而生,因此也特别适合入门学习。. When I oppened it, I was greeted with:. This allows me to workaround this issue with some packages, I cannot do so with all packages, for example after installing opencv3 (version 3. 7, conda added this block of code in my ~/. download() after importing nltk by writing import nltk. Time to install more libraries. 0 32 bit on Windows, it did not create any registry entries - I manually added it to get NLTK installer to see it, but then there was an unhandled exception during the installation of "parameter count mismatch". The interesting thing here is where Python actually gets installed. Updated 2019-08-21. 4; win-64 v3. Removing stop words with NLTK in Python The process of converting data to something a computer can understand is referred to as pre-processing. This will install all the associated anaconda packaged libraries. exe for 64-bit systems. What follows depends on the Python distribution you are using. Saving this so I can find it later & potentially help others. macOS and OS X ship with Python and git preinstalled. 0 32 bit on Windows, it did not create any registry entries - I manually added it to get NLTK installer to see it, but then there was an unhandled exception during the installation of "parameter count mismatch". Ensure that the Install launcher for all users (recommended) and the Add Python 3. Please try again later. _url # Download the index file. The Collections tab on the downloader shows how the packages are grouped into sets, and you should select the line labeled book to obtain all data required for the examples and exercises in this book. zip的百度云下载好,解压得到nltk. Conda is a powerful tool that makes it easy to: install whatever python packages you want; create a personal environment to use these packages. The time with Cpython is 5. Go Shortcut-> Target. Unfortunately the instructions on the nltk install at nltk. For Pip is installed when you install your Python environments. Anaconda comes with a graphical installer called "Navigator" so the user can install some packages for work. Installing Anaconda; Setting up TensorFlow using Anaconda Prompt. Here, our environment name is aaic for which the command is: conda create -n aaic python=3. My Debian box (actually, a Vagrant Virtualbox VM running Debian) uses the XFCE desktop environment; you'll need some GUI to use Anaconda. On a Mac using Python 3. 0; win-64 v1. To launch Jupyter, open your Anaconda Prompt and type jupyter notebook. The installer has an option to set that up for you. In this case, the various versions of Python installed on the system will be scanned to see whether one of them includes the “scipy” Python package (the first version found that satisfies this requirement will be used). I've created it like this: "conda create -n graphlab python=2. ai Deep Learning Course 2 on Ubuntu 14. exe does not install every package. The Anaconda Python distribution was easiest to install on the University of Southampton student computers, but other distributions provide similar functionality. Text may contain stop words like ‘the’, ‘is’, ‘are’. (More on this in a moment. We recommend downloading Anaconda's latest Python 3 version. Setting up for Fast. 8) use the most recent available installer labelled "snow-leopard" available here. You can verify this by opening a command prompt terminal (CMD) on windows using search in Windows 7. It means you will install Ipython, Jupyter, and TensorFlow in an appropriate folder inside our machine. (Mac) IDLE "starts in" the 'Documents' folder by default and prompts to save all my scripts there. Description. The time with Cpython is 5. With Miniconda you install only the packages you want with the conda command, conda install PACKAGENAME Example: conda install anaconda-navigator. There are many ways of doing it (thus adding to the confusion); this lesson introduces one of the easiest and most common ways of installing python modules. I just realized that the nltk. nltk numpy scipy scikit-learn seaborn plotly pillow steps to install python library Goto Anaconda Prompt: type pip install Engine > Environment Variables. The Natural Language Toolkit (NLTK) is a Python package for natural language processing. Setting up for Fast. In this tutorial. Moreover, the site for NLTK not only includes some simple examples on the main page, but also the full contents of the book “Language Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit” by Steven Bird, Ewan Klein, and Edward Loper (talk about generous!). Installing Anaconda; Setting up TensorFlow using Anaconda Prompt. Open command line (cmd) - type cmd in the search box in the windows start menu. I expect you to have Anaconda or pip installed. 0; win-32 v1. 949399, and decorated with @autojit and running it in Anaconda also takes a lot more time than Cpython. Step 4: Install NLTK Step 4a: Open up Power Shell. org is an Anaconda product, just like Anaconda and Miniconda. 4, 64 Bit Windows? install the Anaconda Python distribution and you can just conda install nltk from the command line. book import * That should definitely work. Anaconda free open source is distributing both Python and R programming language. Here, we show you how to have complete control over what packages that are used across the many different compute nodes in our environment. After installing Anaconda, in Anaconda Prompt, use the following command to install NLTK: conda install nltk The chatbot built in this tutorial is based on NLTK Chatbot Examples. Installing Anaconda; Setting up TensorFlow using Anaconda Prompt. Pip (recursive acronym for "Pip Installs Packages" or "Pip Installs Python") is a cross-platform package manager for installing and managing Python packages (which can be found in the Python Package Index (PyPI)) that comes with Python 2 >=2. com November 18, 2017 ~ Deepesh Singh TensorFlow is mainly developed by Google and released under open source license. One of the option for querying Elasticsearch from Python is to create the REST calls for the search API and process the results afterwards. 8) use the most recent available installer labelled "snow-leopard" available here. 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: