Python Package

In a sentence: PyPI is as a giant. 1 (2011): 1. This is accomplished by adding a subpackage. The package includes facilities for: Calling Python from R in a variety of ways including R Markdown, sourcing Python scripts, importing Python modules, and using Python interactively within an R session. Python support in NetBeans This project is a community-driven effort. Python Package Introduction¶. X, please continue using the 1. After installing python, pip package manager will be available. If you already have a development environment set up, see Python and GCP to get an overview of how to run Python apps on GCP. py file, to distinguish a package from a directory that just happens to contain a bunch of Python scripts. List of other Helpful Links. A Python package refers to a directory of Python module(s). Installing Pip To install Pip on your system, you can use either. The simple way installs under. a container of modules). Python walkthrough code collections. NumPy, a fundamental package needed for scientific computing with Python. There are many ways one can add pre-built packages to anaconda environment. Package 'x' is white. Installing Packages ¶. If you already have a development environment set up, see Python and GCP to get an overview of how to run Python apps on GCP. As the docs explain, sys. Installing Packages Locally with easy_install Easy_install is another commonly used tool for installing Python packages and is a supported method for the installation of many packages. It integrates with virtualenv, doesn't do partial installs, can save package state for replaying, can install from non-egg sources, and can install from version control repositories. Python modules are installed using the DistUtils tools. This article explores Python modules and Python packages, two mechanisms that facilitate modular programming. Documenting Python¶. py Stack Exchange Network. Python packages allow you to break down large systems and organize their modules in a consistent way that you and other people can use and reuse efficiently. Start from here if you are beginner. A file modu. It will try to build the package if no previous build was made and then inject the result into the Python tree. IronPython can use the. First of all, we need to install the py2app python package. NumPy, a fundamental package needed for scientific computing with Python. $ python -m reader 0 # How to Publish an Open-Source Python Package to PyPI Python is famous for coming with batteries included. Package authors use PyPI to distribute their software. It is common in the Python community to refer to a distribution using the term “package”. Support the maintenance of this repository: Mac OS X 10. Python packages in official tutorial. " Available at SSRN 1429822 (2009). Coded in Python, and using wxWidgets, this program is a GUI that drives easy_install and/or pip. Information on source package python-django. It was a 45-minute talk, so don't expect a lot of detail. You want to make your script platform independent. Packages installs the packages default under site-packages. Python strongly encourages community involvement in improving the software. Select the View > Other Windows > Python Environments menu command. Modules, Packages, and all that¶ One of the key features of Python is that the actual core language is fairly small. 0 131,837 Downloads Pip is a tool for installing and managing Python packages, such as those found in the Python Package Index. Learn more. , a package is a directory of Python modules containing an additional. This provides a measure of isolation, so that updating a Python package for one project doesn't impact other projects. Installing Python Packages from a Jupyter Notebook Tue 05 December 2017 In software, it's said that all abstractions are leaky , and this is true for the Jupyter notebook as it is for any other software. The libraries implement the various protocols used when writing web services including SOAP, WSDL, and other related protocols. Visual Studio provides a UI to manage packages in your Python environments. 14 (released Oct. It provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple. This file can be empty, and it indicates that the directory it contains is a Python package, so it can be imported the same way a module can be imported. python-nmap : nmap from python About. or, if you download the package and it has a setup. Working with Modules and Packages in Python 3. This section covers the basics of how to install Python packages. Develop, manage, collaborate, and govern at scale with our enterprise platform. JavaToWritableConverter. So here they are: 1. "ModuleNotFoundError" and "Module cannot be loaded" are common errors for Lambda functions in Python. Method 1 : Yes you can use anaconda navigator for installing new python packages. First open a terminal and go to the DSS data directory. Numpy+Vanilla is a minimal distribution, which does not include any optimized BLAS libray or C runtime DLLs. Python for. This is the core of how we deploy code at Nylas. Features Data structures for graphs, digraphs, and multigraphs. IronPython can use the. The Python Package Index (PyPI) indexes an amazing array of libraries and applications covering every use case imaginable. Conda quickly installs, runs and updates packages and their dependencies. It is analogous to CPAN, the repository for Perl. asc Note that you must use the name of the signature file, and you should use the one that's appropriate to the download you're verifying. Scientific computing in Python builds upon a small core of packages: Python, a general purpose programming language. Found 100 matching packages. Join 575,000 other learners and get started learning Python for data science today! Welcome. To add a new package, please, check the contribute section. Winstat has all the packages that are part of the Anaconda distribution installed globally, including pandas, matplotlib, numpy, scipy and many others. The app structure is built on the suitable packages in Python. Python packaging really isn't that bad (anymore. Flexible platform for AI and machine learning with Python. Seaborn is a Python data visualization library based on matplotlib. Now, I have no idea how your distribution is supposed to handle that, if at all. You might need to create a deployment package that includes the function modules located in the root of the. Note that you’ll need to add Python to Windows path before you can start using the tool. The Keras. For more details on the Arrow format and other language bindings see the parent documentation. Which Python package manager should you use? It really comes down your workflow and preferences. paket add python --version 3. Python environments. The package is a Python library with a significant level of demand from developers or users. Analogous to this, Python has packages for directories and modules for files. Numba supports Intel and AMD x86, POWER8/9, and ARM CPUs, NVIDIA and AMD GPUs, Python 2. core import. THE MOST POPULAR AND MOST FEATURE RICH PYTHON SYNTAX HIGHLIGHTER FOR SUBLIME TEXT WITH OVER 125,000 DOWNLOADS AND BEING IN THE TOP 100 PACKAGES)! Bleeding-egde Python and Cython syntax highlighters and other goodies for Sublime Text 2/3 and TextMate editors. Usually, pip is used to install and manage Python packages. It integrates with virtualenv, doesn't do partial installs, can save package state for replaying, can install from non-egg sources, and can install from version control repositories. It is a first-rate library for numerical programming and is widely used in academia, finance, and industry. Installation is easier than ever because Python 2. As regards the module name, Python treats the file name as the module names. NET developers. 4 button that appears first on the page (or whatever is the latest version). zip file with read and execute permissions for all files. Each package in Python is a directory which MUST contain a special file called __init__. HOWTO: Add python packages using the conda package manager While our Python installations come with many popular packages installed, you may come upon a case where you need an addiditonal package that is not installed. In order to create a Python package, it is very easy. Intel Distribution for Python is included in our flagship product, Intel® Parallel Studio XE. It has simple easy-to-use syntax, making it the perfect language for someone trying to learn computer programming for the first time. Pip is a package management system used to install and manage software packages, such as those found in the Python Package Index. This library is a Python package for handling spherical polygons that represent arbitrary regions of the sky. MySQL Connector/Python 8. There's no such thing as a "PSF License". Flexible platform for AI and machine learning with Python. Uninstalling individual packages:. 2019-10-25: setuptools: public: Download, build, install, upgrade, and uninstall Python packages 2019-10-25: pip: public: PyPA recommended tool for installing Python packages 2019-10-25: numpy-base: public. MatPlotLib is an outstanding graphics package available for Mac, Windows and Linux. Your keyword was too generic, for optimizing reasons some results might have been suppressed. py is all about making it easier to develop large Python projects. Users may want to install python packages that are frequently used by their groups, in a common location to the user or group. To illustrate the security concerns, it is good to contrast how Python modules are usually installed with how Apt or Yum do it for Linux distributions. Part of maintaining a Django-based application like MDN's kuma is ensuring Python packages are up to date. Do you want to share a Python script to a friend that doesn’t have Python installed? In this post you’ll learn how 🙂 With the py2app package you can compile a Python script and create a portable Mac application. Full Stack Python is an open book that explains concepts in plain language. It may also provide additional versions, as well as tons of third party packages. Each package must have its own folder. 2011-03-24. Package encoding defines interfaces shared by other packages that convert data to and from byte-level and textual representations. You can also send your feedback to my email: baiju. tgz and expands it in a directory. To run this quickstart, you'll need: Python 2. pip is a recursive acronym for "Pip Installs Packages". Debian always provides at least two versions of Python, the latest stable Python 2 release, and the latest stable Python 3 release. xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy -like arrays, which allows for a more intuitive, more concise, and less error-prone developer. This tutorial talks about Python3 but. Modules that you install for one Python version are not visible from others, so it's important to. There are many ways one can add pre-built packages to anaconda environment. path is initialised are still somewhat challenging to figure out. Create a new virtual environment by choosing a Python interpreter and making a. Conda is an open source package management system and environment management system that runs on Windows, macOS and Linux. Packages are namespaces which contain multiple packages and modules themselves. module load python. Found 100 matching packages. Exploring Line Lengths in Python Packages Thu 09 November 2017 This week, Twitter upped their single-tweet character limit from 140 to 280, purportedly based on this interesting analysis of tweet lengths published on Twitter's engineering blog. The Python Package Index, abbreviated as PyPI and also known as the Cheese Shop (a reference to the Monty Python's Flying Circus sketch "Cheese Shop"), is the official third-party software repository for Python. Python gives you several different ways to view package content. All related elements to what's. Python Tutorial: Magic methods and operator overloading with examples. The ETE toolkits is Python library that assists in the analysis, manipulation and visualization of (phylogenetic) trees. So far, you've learned to write Python using Codecademy's learning environment. Tool to install/uninstall a Python Package. They don't mix well. Using with Python distribution tools Python package developers should download and use this compiler to produce binary wheels for their Python packages to upload to PyPI. Packages with unsupported C dependencies that do not provide “manylinux” wheels will not install on Heroku. Now, I have no idea how your distribution is supposed to handle that, if at all. Looking for 3rd party Python modules? The Package Index has many of them. Why would I want to create a package using __init__. Most of these are general purpose libraries made available from the Python Package Index (PyPI). A python module is simply a single python file. But the packages which are available in conda-forge repository will be shown here. Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. 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. You can find modules for working with sockets, parsing CSV, JSON, and XML files, and working with files and file paths. py Stack Exchange Network. But as I said, conda manages Anaconda packages, and pip manages "normal" Python packages. Interactive experimentation - Jython provides an interactive interpreter that can be used to interact with Java packages or with running Java applications. Analogous to this, Python has packages for directories and modules for files. , a package is a directory of Python modules containing an additional. Python scripts are usable for a lot of stuff, i. Review title of Matt Almost therenot quite soup. Quickly and easily build, train, host, and deploy models from any Python environment with Azure services for data science and machine learning. There are many ways one can add pre-built packages to anaconda environment. It's important to note that the term "package" in this context is being used as a synonym for a distribution (i. The source for financial, economic, and alternative datasets, serving investment professionals. (C) 2010-2012 by Glynn Clements and the GRASS Development Team This program is free software under the GNU General Public License (>=v2). Python is very easy to learn. I updated to Pro 2. Modules that you install for one Python version are not visible from others, so it's important to. Python packages allow you to break down large systems and organize their modules in a consistent way that you and other people can use and reuse efficiently. $ python -c "from distutils. It differs from the NumPy package in the user interface, which is more oriented toward linear algebra and for interactive use. If you are. ) In this talk you'll learn how you can take your beautiful new Python code and share it with the world in a way that everyone benefits. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. Python gives you several different ways to view package content. Python packaging really isn't that bad (anymore. The Python extension for VS Code provides helpful integration features for working with different environments. I am personally using Python 2. Open source software is made better when users can easily contribute code and documentation to fix bugs and add features. py and just stick it in there. It is a repository of software for the Python programming language. This guide is a comprehensive resource for contributing to Python – for both new and experienced contributors. This tutorial talks about Python3 but. 9 and later (on the python2 series), and Python 3. Installing some packages with one and some with the other won't do you any good. Hi there fellas. The python-control package is a set of python classes and functions that implement common operations for the analysis and design of feedback control systems. Downloading a package is very easy. Using OpenGL in Python. Python Developer’s Guide¶. Individual modules can then be cobbled. We see that a few things have been installed. In the Python ecosystem, there are two related but distinct concepts called "package": A "dotted module name", represented in its source as a directory with an __init__ module (i. ) In this talk you'll learn how you can take your beautiful new Python code and share it with the world in a way that everyone benefits. Automatic conversion to Py2/3¶ The future source tree includes scripts called futurize and pasteurize to aid in making Python 2 code or Python 3 code compatible with both platforms (Py2/3) using the future module. This document gives a basic walkthrough of xgboost python package. Kapteyn Package for Python 3¶ The Kapteyn Package is a collection of Python modules and applications developed by the computer group of the Kapteyn Astronomical Institute, University of Groningen, The Netherlands. The different modules in the package are imported in a similar manner as plain modules, but with a special behavior for the __init__. 6, and so on. To create a new Python Package. 0-6 Date 2015-11-15 Title Package Allowing R to Call Python Author Carlos J. Celery is easy to integrate with web frameworks, some of which even have integration packages. He is the author of the asciitable , cosmocalc , and deproject packages. [Open Source, BSD-like]. 经常有身边的学友问到用什么Python发行版比较好? 其实目前比较流行的Python科学计算发行版,主要有这么几个: Python(x,y) GUI基于PyQt,曾经是 功能最全也是最强大的,而且是Windows系统中科学免费Python发行版的不二选择. To specify Python package dependencies on Heroku via pip, add a pip requirements file named requirements. py file, to distinguish a package from a directory that just happens to contain a bunch of Python scripts. The Web Services for Python Project provides libraries for developing web services using the python programming language. ) In this talk you'll learn how you can take your beautiful new Python code and share it with the world in a way that everyone benefits. python-nmap : nmap from python About. The packages you install can be used in Python scripts running in-database using the sp_execute_external_script T-SQL statement. Python Package Introduction¶. org, not the apple provided python. Example requirements. readthedocs. Usually, pip is used to install and manage Python packages. Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. py install If the python executable isn't on your path, you'll have to specify the complete path, such as /usr/local/bin/python. (C) 2010-2012 by Glynn Clements and the GRASS Development Team This program is free software under the GNU General Public License (>=v2). For more information about package location and installation paths, see Get Python package information. It integrates with virtualenv, doesn't do partial installs, can save package state for replaying, can install from non-egg sources, and can install from version control repositories. Please try again later. The Python Package Index is a service that collates information about modules and applications written in Python and distributed using the Python distutils mechanism (or that support PKG-INFO). Any directory with an __init__. NumPy is a Python package which stands for 'Numerical Python'. pythonnet - Python for. Winstat has all the packages that are part of the Anaconda distribution installed globally, including pandas, matplotlib, numpy, scipy and many others. This tutorial talks about Python3 but. ide-python requires Atom 1. Python and MySQL: This is a presentation I did a couple years ago for the 2005 MySQL User Conference. Python package installer. Any Python file is a module, its name being the file's base name/module's __name__ property without the. 0 or later , and adding setup. 2019-10-25: setuptools: public: Download, build, install, upgrade, and uninstall Python packages 2019-10-25: pip: public: PyPA recommended tool for installing Python packages 2019-10-25: numpy-base: public. 6, and all the goodies you normally find in a Python installation, PythonAnywhere is also preconfigured with loads of useful libraries, like NumPy, SciPy, Mechanize, BeautifulSoup, pycrypto, and many others. Alternative regular expression module, to replace re. interactive high-level object-oriented language (Python2 version) Python2, the high-level, interactive object oriented language, includes an extensive class library with lots of goodies for network programming, system administration, sounds and graphics. For more details on the Arrow format and other language bindings see the parent documentation. ) You want to use Python on a Windows 7 machine but you don't know what you're doing. Perhaps the simplest way to install Python 3 is by using the Python package installer from python. Another reason to use either Ubuntu packages is that sometimes these Python packages have different names depending on where you downloaded them from. They are simply directories, but with a twist. 3, __init__. >>> Python Needs You. Python Data Analysis Library¶ pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. 21+, Python language server 0. More elaborately, python packages are a way of structuring python's module by using "dotted module names". It will try to build the package if no previous build was made and then inject the result into the Python tree. This is an intentional design feature to maintain simplicity. Debian always provides at least two versions of Python, the latest stable Python 2 release, and the latest stable Python 3 release. Each entry lists the name, version of package, full/core bundle inclusion, os version support, package dependencies, and a summary of the package itself. That definition makes the usage of the word "package" a bit vague since it is also used by many systems to refer to a release of a project. See the version list below for details. Whether you are an experienced programmer or not, this website is intended for everyone who wishes to learn the Python programming language. ide-python requires Atom 1. Interactive experimentation - Jython provides an interactive interpreter that can be used to interact with Java packages or with running Java applications. It elucidates the programming constructs of Python with its high-level toolkits and demonstrates. Judging from comp. 2008-12-03 Python 3. In Debian it is not. Data Visualization * Matplotlib- Basic Plotting * ggplot2-ggplot2 counterpart in Python for producing quality publication plots. path looking for the package subdirectory. Start from here if you are beginner. You have searched for packages that names contain python in all suites, all sections, and all architectures. The first step is installing hashin: pip install hashin Once hashin is installed, you can get the package hash easily: hashin Flask==0. Create your free Platform account to download ActivePython or customize Python with the packages you require and get automatic updates. How to Install Python Packages on Windows 7 - Steps Open the Command Prompt. Gentoo package dev-lang/python: An interpreted, interactive, object-oriented programming language in the Gentoo Packages Database. NET developers. Any Python file is a module, its name being the file's base name without the. For example, the module name my-package. The source for financial, economic, and alternative datasets, serving investment professionals. Homebrew provides formulae to brew Python 3. RPy has two versions. It is maintained by the same community that maintains Python. Let's take a look at some essential packages of Python. Which Python package manager should you use? It really comes down your workflow and preferences. Pip(Python) Installs Packages 1. So, to install picamera for Python 3 you would use: sudo apt install python3-picamera. Code analysis fix: default values properly marks variables as used (#PyDev-945). It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. The most famous http library written by kenneth reitz. It's important to note that the term "package" in this context is being used as a synonym for a distribution (i. You can find the packages developed and shared by the Python community here. gpg --verify Python-3. Support the maintenance of this repository: Mac OS X 10. Writing packages. Most of these are general purpose libraries made available from the Python Package Index (PyPI). path is populated using the current working directory, followed by directories listed in your PYTHONPATH environment variable, followed by installation-dependent default paths, which are controlled by the site module. PIL is the Python Imaging Library by Fredrik Lundh and Contributors. This software package provides easy commands for basic fitting and statistical analysis of distributions. py extension. Any directory with an __init__. Non-exhaustive list of included functionality:. I was excited about this project, but when I found that could not get the Store installed version to be recognized in VS Code, well, that was a deal breaker. 7 interpreter and runtime. igraph is on the Python Package Index so it can be installed using pip or easy_install: $ pip install python-igraph. Fedora helps lead the Python 3 Porting Efforts™. This powerful, robust suite of software development tools has everything you need to write Python native extensions: C and Fortran compilers, numerical libraries, and profilers. ide-python requires Atom 1. Any Python file is a module, its name being the file's base name/module's __name__ property without the. txt which uses catkin. A Python package is a collection of modules which have a common purpose. py file, learn how to deploy your Python application the right way. 4 and later include pip (pip3 for Python 3) by default. This guide is maintained on GitHub by the Python Packaging Authority. Python bindings¶ This is the documentation of the Python API of Apache Arrow. Python Package. py file, which is used to gather all package-wide definitions. scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Numpy+MKL is linked to the Intel® Math Kernel Library and includes required DLLs in the numpy. Python 2 is reaching end of life, and the current maintainers would like to orphan it. It can also operate with other languages using webhooks. path list, packages are an elegant solution to keep related modules together. 一般安装完Python后,我会先装一些常用的Package。做个笔记,记录下来,以备查询. 0 specifications. It is also hosted itself on the PyPI. "HDX-analyzer: a novel package for statistical analysis of protein structure dynamics. This type of installation will guarantee that package will be. IronPython can use the. Click the links below to see which packages are available for each version of Python (3. Modules are handy when you are looking for specific functionality. Legal Notice. It will try to build the package if no previous build was made and then inject the result into the Python tree. The Python Package Index (PyPI) is a repository of software for the Python programming language. It can mimic any other Python class, and then be examined to see what methods have been called and what the parameters to the call were. Installing Python packages locally. The Python developer community has produced thousands of useful packages that you can incorporate into your own projects. Popular Python 3 packages. 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: