- Magnitude 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019; 8.0+ 1: 1: 0: 1: 2: 1: 2: 4: 0: 1: 1: 1: 2: 2: 1: 1: 0.
- Mac: You have tons of options for different system monitors on the Mac, but if you're looking for something a little more customizable than the rest, MenuBar Stats 2 is worth a look.
2.2.3 The legal framework. The domestic legal arrangements within a given country set the framework and basis for the operational activities of the MCS system (see Section 9, Chapter 1). It is therefore important that both those developing and those operating an MCS system understand these legal arrangements and the mechanisms to change them.
Released:
Menu Bar Stats Advanced System Monitoring 3 2 1/2
A free sports API written for python
Project description
Contents
- Examples
Sportsreference is a free python API that pulls the stats fromwww.sports-reference.com and allows them to be easily be used in python-basedapplications, especially ones involving data analytics and machine learning. Slideflow 1 0 2 – slideshow on tv series.
Sportsreference exposes a plethora of sports information from major sportsleagues in North America, such as the MLB, NBA, College Football and Basketball,NFL, and NHL. Sportsreference also now supports Professional Football (orSoccer) for thousands of teams from leagues around the world. Sketchbook pro 2020 download free. Every sport hasits own set of valid API queries ranging from the list of teams in a league, tothe date and time of a game, to the total number of wins a team has securedduring the season, and many, many more metrics that paint a more detailedpicture of how a team has performed during a game or throughout a season.
Installation
The easiest way to install sportsreference is by downloading the latestreleased binary from PyPI using PIP. For instructions on installing PIP, visitPyPA.io for detailed steps oninstalling the package manager for your local environment.
Next, run:
to download and install the latest official release of sportsreference onyour machine. You now have the latest stable version of sportsreferenceinstalled and can begin using it following the examples below!
If the bleeding-edge version of sportsreference is desired, clone thisrepository using git and install all of the package requirements with PIP:
Once complete, create a Python wheel for your default version of Python byrunning the following command:
Tipard all music converter 9 1 16 torrent. This will create a .whl file in the dist directory which can be installedwith the following command:
Examples
The following are a few examples showcasing how easy it can be to collectan abundance of metrics and information from all of the tracked leagues. Theexamples below are only a miniscule subset of the total number of statisticsthat can be pulled using sportsreference. Visit the documentation onRead The Docs for acomplete list of all information exposed by the API.
Documentation
Two blog posts detailing the creation and basic usage of sportsreference canbe found on The Medium at the following links:
The second post in particular is a great guide for getting started withsportsreference and is highly recommended for anyone who is new to thepackage.
Complete documentation is hosted onreadthedocs.org. Refer tothe documentation for a full list of all metrics and information exposed bysportsreference. The documentation is auto-generated using Sphinx based on thedocstrings in the sportsreference package.
Testing
Sportsreference contains a testing suite which aims to test all major portionsof code for proper functionality. To run the test suite against yourenvironment, ensure all of the requirements are installed by running:
Next, start the tests by running py.test while optionally including coverageflags which identify the amount of production code covered by the testingframework:
If the tests were successful, it will return a green line will show a message atthe end of the output similar to the following:
If a test failed, it will show the number of failed and what went wrong withinthe test output. If that's the case, ensure you have the latest version of codeand are in a supported environment. Otherwise, create an issue on GitHub toattempt to get the issue resolved.
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size sportsreference-0.5.2-py3-none-any.whl (472.8 kB) | File type Wheel | Python version py3 | Upload date | Hashes |
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| SHA256 | 4e2bff2acdb33b32d4554f53510be09176f0c501d3295fa1758e4b5ca09f3f8d |
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Hashes for sportsreference-0.5.2.tar.gz
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Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size sportsreference-0.5.2-py3-none-any.whl (472.8 kB) | File type Wheel | Python version py3 | Upload date | Hashes |
| Filename, size sportsreference-0.5.2.tar.gz (379.7 kB) | File type Source | Python version None | Upload date | Hashes |
Menu Bar Stats Advanced System Monitoring 3 2 1.
Hashes for sportsreference-0.5.2-py3-none-any.whl
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| SHA256 | 4e2bff2acdb33b32d4554f53510be09176f0c501d3295fa1758e4b5ca09f3f8d |
| MD5 | 5af113ee4b0e75ac41bc7a5257955661 |
| BLAKE2-256 | 43f858106455dcc98ef602a959881c42a4814bab1bd1211d7d5e341d9b44b914 |
Hashes for sportsreference-0.5.2.tar.gz
| Algorithm | Hash digest |
|---|---|
| SHA256 | 0a749419e46d1027470415fc55dc3c1d9651b3279fa37433a0130291d815da75 |
| MD5 | a66af91098602a68eb2c41fea340a4f6 |
| BLAKE2-256 | 65176e96bd49451ddd77a03ddc7c2565fad4d26dde612270850564407aed94ac |
