Fast Api Python

In this article, Toptal engineer Leandro Lima gives us an in-depth tutorial on how to build a REST API in Bottle. It is intended for analytics and related work, but can be used in any context where the user wishes to quickly load one or more fields into arrays. Fast Query Recognizer API. The RSA 3,552,784 views. His expertise ranges from fast numerical computation, API design, to 3d visualization. Here is the Github link. boundscheck to get more speed. Updated on 27 October 2019 at 17:32 UTC. As StackOverflow recently analyzed, Python is one of the fastest-growing programming languages, having surpassed even Java on the number of questions. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3. Cooperative sockets with SSL support. Create a C++ extension for Python. While the Onsite standalone API is offered for Java,. Nokia TAS has fully featured application development capabilities. 1 Overview. And in most cases, the data provided is in JSON(JavaScript Object Notation) format (which is implemented as dictionary objects in Python!). His expertise ranges from fast numerical computation, API design, to 3d visualization. neoapi serializes JSON:API-compliant responses from neomodel StructuredNodes for Neo4j data; xamoom-janus is a Python module to easily and fast extend Python web frameworks like Flask or BottlyPy with json:api functionality. Developer Student Clubs train thousands of student developers globally and work with their communities to solve real-life problems. You use interfaces all the time. Data Visualization. Rapid GUI Programming with Python and Qt is a textbook that teaches how create GUI applications using Python 2, PyQt4 (or PySide 1), and Qt 4. When these are written to the Linux frame buffer they're bit shifted into RGB 5 6 5. Lightweight execution units based on greenlets. The Maya API and the Maya Python API are designed to be platform neutral. The Python Software Foundation. Apache Spark 1. xml file, and run pydir. Merge, Encrypt, Split, Repair and Decrypt PDF files. h under Visual Studio 6 (which caused multiple mutual incompatabilities) I found luabind and I don't think I'll. 0 and cx_Oracle. The AI Movement Driving Business Value. The alternative to the standalone API is using one of the WURFL Cloud APIs or InFuze APIs offered by ScientiaMobile. Next, we will create a lists of users using Python data structures which are lists and dictionaries to simulate a data store:. 1) the thread that prepares input jobs for the workers isn’t fast enough; the workers are starved for input (possible, since you have so many workers). It’s a very stable and performant way to collect data. Tkinter is the standard GUI library for Python. Passing a hash will verify the file after download. How to update a page with Python using REST API? Nick Hilton Feb 13, 2015 I would like to write content to an existing page using the REST API, here's my current script:. Security, speed, compliance, and flexibility -- all of these describe lighttpd (pron. This means that there are no opinions in this client; it also means that some of the APIs are a little cumbersome to use from Python. Passenger is a rock-solid, feature-rich web app server that integrates with Apache and Nginx. And in most cases, the data provided is in JSON(JavaScript Object Notation) format (which is implemented as dictionary objects in Python!). Simply specify the size and location of your worker nodes. MSSMixin¶ monitors¶. 0 are available. As this tweet points out, Google Sheets might be all you need. Return 1 if the object provides sequence protocol, and 0 otherwise. Creating a simple REST API in PHP I’m the author of php-crud-api and I want to share the core of the application with you. Many members of our community are building bots and libraries and publishing their source code. PycURL is targeted at an advanced developer - if you need dozens of concurrent, fast and reliable connections or any of the sophisticated features listed above then PycURL is for you. Community detection for NetworkX's documentation¶. A gas pedal in a car is an interface. The code above is simple and easy, but how fast it? Let's put it to the test using a timing decorator, which I have unoriginally called @timeit. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. According to Wikipedia : In number theory, a perfect number is a positive integer that is equal to the sum of its proper positive divisors, that is, the sum of its positive divisors excluding the number itself (also known as its aliquot sum). Spin up a managed Kubernetes cluster in just a few clicks. The logo of Falcon symbolizes an eagle, which means fast, quick, frequent so that it tells the working of Falcon that how quickly it works. Set the default soap headers which will be automatically used on all calls. 0 and the Apache License 2. unittest2 is a backport of Python 2. Founder of vaex. *FREE* shipping on qualifying offers. If you intend to directly use it you start with a SeaBreezeAPI instance and retrieve SeaBreezeDevice instances via SeaBreezeAPI. It comes bundled with support for XML Path Language (XPath) and Extensible Stylesheet Language Transformation (XSLT), and it implements the familiar ElementTree API. png and animated. Create Java API's fast and simple 3. With DocRaptor, it's fast and painless to convert HTML, CSS, and JavaScript into PDF and XLS documents with Python. This module implements community detection. No Python functions can be called after this. His latest article discussed a special function named forEach. Kafka Python Tutorial for Fast Data Architecture; After your page is sending metrics to clicky you will need to get some values in order to use the Clicky API and pull metrics from our Python. 1) the thread that prepares input jobs for the workers isn’t fast enough; the workers are starved for input (possible, since you have so many workers). The Keras Python library makes creating deep learning models fast and easy. Many large companies use the Python programming language. Python doesn’t come prepackaged with Windows, but that doesn’t mean Windows users won’t find the flexible programming language useful. trained on your own data, targeting another language, or using some new optimizations), then the FAST-ER code provides programs for training new FAST-N detectors as well as FAST-ER detectors. For more information, read Retrain an image classification model on-device. Nearly all Python database modules such as sqlite3, psycopg, and mysql-python conform to this interface. Keys and values are converted for output using either user specified converters or org. Maarten Breddels is an entrepreneur and freelance developer / consultant / data scientist working mostly with Python, C++ and Javascript in the Jupyter ecosystem. phrases – Scikit learn wrapper for phrase (collocation) detection sklearn_api. Below are working Python examples for creating documents. 6 at the same time. gl - low level GL API; VisPy is a Python library for interactive scientific visualization that is designed to be fast, scalable, and easy to use. Module: observations. Welcome to the LearnPython. 12 and later). Flask is a good choice for a REST API because it is: Written in Python (that can be an advantage); Simple to use. For a recent project, I ported the "batch geocoding in R" script over to Python. With that, I have reached the end of our discussion on writing Unit Tests for REST API in Python Web Application. It allows to effortlessly build and deploy highly customizable, fully featured RESTful Web Services. The system provided Web-based GUI for managing extracted objects and Access Tokens. Buttons in an elevator are an interface. 6+ based on standard Python type hints. You can ask for a new Fasttrack API key by contacting us at [email protected] I always keep my project and REST API loosely coupled. " From IronPython. University students who lead a DSC gain access to Google technology, events, and mentorship while training their local community through fun meetups, project building activities, and global competitions. Nowadays, choosing Python to develop applications is becoming a very popular choice. In order to follow along, you will require: 1. We always appreciate when. for those of you who, same as me, were missing a decent PowerCenter API for a popular scripting language, this might be interesting. fast-python-pb: Fast Python Protocol Buffers Thin wrapper on top of the C++ protocol buffer implementation resulting in significantly faster protocol buffers in Python. Enhancing QEMU virtio-scsi with Block Limits vital product data (VPD) emulation. It is a fast and easy-to-work weather APIs. wraparound and @cython. Python Forums on Bytes. Let's learn how to develop RESTful APIs with Python and Flask. University students who lead a DSC gain access to Google technology, events, and mentorship while training their local community through fun meetups, project building activities, and global competitions. Edit: Thanks to those who contributed 🙂 Please feel free to submit pull requests for any edge cases you come across. In recent years REST (REpresentational State Transfer) has emerged as the standard architectural design for web services and web APIs. Although I have personally benchmarked various combinations, I haven’t documented the results for this article, instead merely mentioned which frameworks and WSGI servers were found to be fast or slow. GStreamer: a flexible, fast and multiplatform multimedia framework. answer to How do I send text messages from a python script to a mobile number (if possible with a free gateway)? wc. Python supports many speech recognition engines and APIs, including Google Speech Engine, Google Cloud Speech API, Microsoft Bing Voice Recognition and IBM Speech to Text. And in most cases, the data provided is in JSON(JavaScript Object Notation) format (which is implemented as dictionary objects in Python!). We offer Fastest, cheapest captcha solving service powered by OCR and human. The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). The Python C API allows access to almost ev- ery aspect of the interpreter, including inspecting the current interpreter state (what threads are running, function stacks, etc. As StackOverflow recently analyzed, Python is one of the fastest-growing programming languages, having surpassed even Java on the number of questions asked on the platform. It is also a newer API, and is still under development, so not all classes exposed in 1. Bases: ecflow. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. The code above is simple and easy, but how fast it? Let's put it to the test using a timing decorator, which I have unoriginally called @timeit. A computer operating system is an interface. While the Onsite standalone API is offered for Java,. 99s and I'm not sure why the significant change in time. This method has to fill self. If you intend to directly use it you start with a SeaBreezeAPI instance and retrieve SeaBreezeDevice instances via SeaBreezeAPI. Four days of pain and frustration later, after having miserated with the Python C-API, trying to get Boost. 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. Super fast 'for' pixel loops with OpenCV and Python. How to create user minibatch sources (); How to debug CNTK python programs (); How to read and feed data (); How to train using the different APIs (). With DocRaptor, it's fast and painless to convert HTML, CSS, and JavaScript into PDF and XLS documents with Python. 24/7 Support. Code Python (with Turtle) , compile Python (with Turtle) , run Python (with Turtle) , and host your programs and apps online for free. Google has a great Speech Recognition API. This is the result. Downloads a file from a URL if it not already in the cache. The AI Movement Driving Business Value. You can use APIs to get information from other programs or to automate things you normally do in your web browser. Python hex function is one of the built-in functions in Python3, which is used to convert an integer number into its corresponding hexadecimal form. edu Abstract Python is a popular dynamic language with a large part of its appeal coming from powerful libraries and extension mod-ules. How fast is your input sentence generation? 2) the overhead of Python is simply too large with so many threads. Our food ontology and semantic recipe search engine makes it possible to search for recipes using natural language queries, such as "gluten free brownies without sugar" or "low fat vegan cupcakes. datrie is a Python wrapper for the Double-Array Trie C implementation by Theppitak Karoonboonyanan. Affy: Deal with Affymetrix related data such as cel files. It is when you "grab" an object and drag it to a different location. Read working of HTTP requests GET, PUT, DELETE and POST requests : HTTP Requests 3. twython - A Python wrapper for the Twitter API. Programmers can use it to easily add search functionality to their applications and websites. The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Kivy GUI frameworks are more interesting Python projects as it is MIT-Licenced and based on OpenGL ES 2. PyQtGraph is a pure-python graphics and GUI library built on PyQt4 / PySide and numpy. You can copy & paste below iframe code in your websites. Here is the minimal Python/Flask code that implements this principle, with JSON in and JSON out (question in, answer out):. For this discussion, it will suffice to say that. datrie is a Python wrapper for the Double-Array Trie C implementation by Theppitak Karoonboonyanan. It means my REST API knows little about the Django or Flask project that is being implemented. Pairwise sequence alignment using a dynamic programming algorithm. For from source installation instructions, including building against system provided libssh2, see documentation. Every part of how Whoosh works can be extended or replaced to meet your needs exactly. Boto is the Amazon Web Services (AWS) SDK for Python. , Python debugger interfaces and more. I can query the search by running the following from my terminal (. PYTHON VPN API 100% Anonymous. The object also takes a valid PowerTrack rule and has options to cutoff search when hitting limits on both number of Tweets and API calls. The FAST-ER code below contains pre-made trees in an easy to use format and a number of code generators. With it, you can add content like headers, form data, multipart files, and parameters via simple Python libraries. REST is indeed a relevant technology, has been and will be for years to come (GraphQL has potential but needs to mature still). by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine. In some brief tests, I estimate that both the Net-SNMP Python bindings and Easy SNMP are more than 4 times faster. Learn Python in the most social and fun way, with SoloLearn! Learn Python, one of today's most in-demand programming languages on-the-go, while playing, for FREE!. 6+ based on standard Python type hints. Get coding in Python with a tutorial on building a modern web app. Python hex() function is used to convert any integer number ( in base 10) to the corresponding hexadecimal number. REST APIs are pretty much everywhere. SALib - Sensitivity Analysis Library in Python¶ Python implementations of commonly used sensitivity analysis methods, including Sobol, Morris, and FAST methods. Using the TSC library, you can manage and change many of the Tableau Server and Tableau Online resources programmatically. furl - A small Python library that makes parsing and manipulating URLs easy. After the guard is destroyed, the interpreter shuts down and clears its memory. If you program in Python, you can also use the Tableau Server Client (TSC), a Python library for the Tableau Server REST API. Super fast 'for' pixel loops with OpenCV and Python. In this Python API tutorial, we’ll learn how to retrieve data for data science projects. We make it simple to launch in the cloud and scale up as you grow – with an intuitive control panel, predictable pricing, team accounts, and more. Flask is a Python library that provides a 'micro-framework' for web development. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3. The driver then converts them to RGB 5 5 5 before it passes them over to the ATTiny88 AVR for writing to the LEDs. However I dont see any python api. Create a Python REST web-service. format (sql, encoding=None, **options) ¶ Format sql according to options. We will use a python package connexion for the swagger API development. These are just a few examples of interesting Python objects. gTTS is a very easy to use tool which converts the text entered, into audio which can be saved as a mp3 file. A more detailed description of a subinterpreter is given in the documentation for the Py_NewInterpreter() function. I hope to do more cool stuff with it in the future and I hope you do too. For more information on the database API specification, see here. If you are new to Python, refer to this: 5 Examples to Jumpstart Object Oriented Programming in Python. Output a Python RDD of key-value pairs (of form RDD[(K, V)]) to any Hadoop file system, using the new Hadoop OutputFormat API (mapreduce package). PDF | The Python package fluidfft provides a common Python API for performing Fast Fourier Transforms (FFT) in sequential, in parallel and on GPU with different FFT libraries (FFTW, P3DFFT, PFFT. 0 specification. Python enthusiasts love this popular Slack API wrapper, with support for negotiating tokens using OAuth 2. Monary is an array-based querying mechanism for MongoDB, using Python and NumPy. API is a bridge between private databases and applications. Fast event loop based on libev or libuv. >>> Python Software Foundation. We will not be transcoding audio in the Python script, so you will have to do it before hand. OLE2 files include most Microsoft Office files such as XLS, DOC, and PPT as well as MFC serialization API based file formats. We’ll be using the collect_results function, which has three parameters. Drag and Drop. Become a Member Donate to the PSF. Fast Query Recognizer API. The most important case is the case where NumPy arrays are nested within other objects. Googletrans is a free and unlimited python library that implemented Google Translate API. The Python API can be installed through 'pip' using: Bloomberg Professional Services connect decision makers to a dynamic network of information, people and ideas. Fast, asynchronous and sexy Python web framework ;) I'd like to share a new python web framework I've been working on called Vibora. marshmallow-jsonapi provides JSON:API data formatting for any Python web framework. Lupa - fast wrapper for LuaJIT2 written in Cython. rpmodel – Scikit learn wrapper for Random Projection model. The WebSocket API is an advanced technology that makes it possible to open a two-way interactive communication session between the user's browser and a server. Performs multiple indexing or delete operations in a single API call. SALib - Sensitivity Analysis Library in Python¶ Python implementations of commonly used sensitivity analysis methods, including Sobol, Morris, and FAST methods. Store and retrieve data from Cloud Storage Query public data using BigQuery Analyze images with Cloud Vision API Extract for Python on Google Cloud Platform. If you liked this post, consider having a look at my other work on GitHub. Remember from Part 1 that Connexion is the tool you used to design and configure the REST API using a YAML file, and connect Python methods to it. 6 IDE with syntax recognition and auto text formatting and more awesome feature from iLabs corporation. The C++ libseabreeze API is fully wrapped and exposed to python. Let’s create a simple REST web service using flask in python, we could consume this web service using Postman tool or Curl command line utility. The Top 5 Development Environments. The current version of the psycopg is 2 or psycopg2. Python certification training by Credo Systemz is an instructor-led training conducted in Chennai premises. Create a Python REST web-service. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3. If you have never built a bot before, this post provides an easy starter tutorial for combining the Slack API with Python to create your first bot. long changeTextShadow(widget, text, shadow). A wrapper is an API client, that are. For from source installation instructions, including building against system provided libssh2, see documentation. png and animated. be easily applied to anything from a REST API to. I've seen it outpace AES accelerators in constrained devices. University students who lead a DSC gain access to Google technology, events, and mentorship while training their local community through fun meetups, project building activities, and global competitions. Eve is powered by Flask and Cerberus and it offers native support for MongoDB data stores. Quickly classify queries, and recognize ones that are likely to be handled by Wolfram|Alpha. This however is not the recommended way to work with it if your templates are not loaded from strings but the file system or another data source:. py), and a launch script. However, this makes our API quite difficult to work with, because now the environment we’re using for editing our Python code (examples in this article assume we’re using Jupyter Notebook) doesn’t know what parameters are available, so things like tab-completion of parameter names and popup lists of signatures won’t work 😢. 1 Overview. MSSMixin¶ monitors¶. For creating native system packages for Centos/RedHat, Ubuntu, Debian and Fedora, see instructions in the documentation. Go is fast! Go is extremely fast. In addition to the standard web UI, Anylogic Cloud offers multiple APIs that you can use to configure and run simulations programmatically within your analytical workflows, query experiment results, build fully customized web interfaces to your models, and do a lot of other things. developers. The driver then converts them to RGB 5 5 5 before it passes them over to the ATTiny88 AVR for writing to the LEDs. WXF is a binary. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. Most important are listed below. Chemfp is a set of command-line tools and a Python library for fingerprint generation and high-performance similarity search. Tkinter provides a powerful object-oriented. Despite being written entirely in python, the library is very fast due to its heavy leverage of numpy for number crunching and Qt's GraphicsView framework for fa. class pyspark. gl - low level GL API; VisPy is a Python library for interactive scientific visualization that is designed to be fast, scalable, and easy to use. ffnet is a fast and easy-to-use feed-forward neural network training library for python. Notes for Python programmers: The Wolfram Language has a higher-level and more integrated philosophy than Python, based on a fully symbolic language, with seamless desktop and cloud operation, and with the world's largest collection of algorithms and data built directly into the language—all with coherent design and documentation, and all accessible through the world's original notebook. Cooperative sockets with SSL support. So, this interesting exercise can be done by using PostgreSQL, Python, SQLAlchemy, and Flask. png", 0) # find faces: cascade = cv2. 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. For a recent project, I ported the “batch geocoding in R” script over to Python. Related course: Python Machine Learning Course; Installation. A few weeks ago I was reading Satya Mallick's excellent LearnOpenCV blog. Kafka Python Tutorial for Fast Data Architecture; After your page is sending metrics to clicky you will need to get some values in order to use the Clicky API and pull metrics from our Python. * modules - implement the W3C DOM API. Properties¶ class mss. Typically runs in under 10 ms. We'll be using the collect_results function, which has three parameters. imread("my_image. , Python debugger interfaces and more. While the Onsite standalone API is offered for Java,. It is designed to be simple enough to start visualizing data in just a few lines and scalable enough to support more complex workflows. The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. We will use a python package connexion for the swagger API development. The API is as much as possible the similar to jquery. set_default_soapheaders (headers) ¶. The logo of the framework is a falcon, symbolizing how quickly Falcon works. google-api-python-client - Google APIs Client Library for Python. The second line is calling the PDFTables API with your unique API key. smart_open for transparently opening files on remote storages or compressed files. His expertise ranges from fast numerical computation, API design, to 3d visualization. fm/datadog Michael #1: How to Stand Out in a Python Coding Interview Real Python, by James Timmins Are tech interviews broken? Well at least we can try to succeed at them anyway You’ve made it past the phone call with. Your mind on multi-cores. If you liked this post, consider having a look at my other work on GitHub. Because the data returned by SQLAlchemy are Python class instances, Connexion can't serialize these class instances to JSON formatted data. QualysGuard API versions v1, v2, & WAS & AM (asset management) are all supported. Your functions cannot be declared nogil if they need to create Python objects or call Python functions. EasyGUI is different from other GUI generators in that EasyGUI is NOT event-driven. edu Abstract Python is a popular dynamic language with a large part of its appeal coming from powerful libraries and extension mod-ules. JavaToWritableConverter. The psycopg fully implements the Python DB-API 2. The Python Database API Specification v2. I'm continuing to learn the low level object oriented matplotlib API. One common way to perform such an analysis is to use a Fast Fourier Transform (FFT) to convert the sound from the frequency domain to the time domain. Googletrans: Free and Unlimited Google translate API for Python¶. We're the creators of MongoDB, the most popular database for modern apps, and MongoDB Atlas, the global cloud database on AWS, Azure, and GCP. If not, or if you want a quick refresh, I've written an introduction to Designing a RESTful Web API. This Python module supports the AxiDraw with two distinct control approaches: Plotting SVG files, and ; Interactive XY motion control through "moveto/lineto" type commands. A Twitter account, 2. Next, we will create a lists of users using Python data structures which are lists and dictionaries to simulate a data store:. trained on your own data, targeting another language, or using some new optimizations), then the FAST-ER code provides programs for training new FAST-N detectors as well as FAST-ER detectors. Panda3D combines the speed of C++ with the ease of use of Python to give you a fast rate of development without sacrificing on performance. If you’d like to find out more how Wallaroo can help out with scaling Python analytics, please reach out to [email protected] Cisco DevNet: APIs, SDKs, Sandbox, and Community for Cisco. If you wish to build your own FAST detector (e. ceODBC is a Python extension module that enables access to databases using the ODBC API and conforms to the Python database API 2. For from source installation instructions, including building against system provided libssh2, see documentation. API Console. It was reported that Sanic can handle 33k request per second. You use interfaces all the time. The API mode instead compiles a CPython C wrapper that directly invokes the target function. How to Query a JSON API in Python (Python for Beginners) | Part 33 Max Goodridge. Hi, Thanks for A2A! Let's get started! So first things first. Once you have the Filestack Python SDK installed you'll just need to bring it into your very own Python script, create an instance of the Client with your Filestack API key, and then call client. Realtime data processing and plotting pipelines in Python – PyRealtime is a package that simplifies building realtime pipeline systems Python. set_default_soapheaders (headers) ¶. The user manual is included in the downloadable V-REP packages. Learn more. SparkSession(sparkContext, jsparkSession=None)¶. My focus was making the API super easy to use. Popularized by major companies and smaller development teams, Python is applauded for its user-friendliness. The full power of the graphics card is exposed through an easy-to-use API. In addition to the formatting options this function accepts the keyword “encoding” which determines the encoding of the statement. The most basic way to create a template and render it is through Template. Text/changeTextShadow [ Python API ] [ Top] [ Python API ] SYNOPSIS. It is intended for analytics and related work, but can be used in any context where the user wishes to quickly load one or more fields into arrays. They are the standard method to expose databases to clients and knowing how to develop a REST API is a necessity at all. Virtual Robot Experimentation Platform USER MANUAL. A good replacement for Yahoo Finance in both R and Python. In this tutorial we will use Google Speech Recognition Engine with Python. Boto provides an easy to use, object-oriented API, as well as low-level access to AWS services. In this article I'm going to show you how easy it is to create a RESTful web service using Python and the Flask microframework. 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. Being part of a young, ambitious and fast-growing tech startup, right here in Melbourne; How to apply. Basics of asyncio. Your daily dose of bite sized python tips. py3 Upload date Jul 29, 2019 Hashes View hashes: Filename, size ont-fast5-api-1. Googletrans: Free and Unlimited Google translate API for Python¶. 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: