aws-deepracer
By Vivek0712
awesome-flake8-extensions
:octocat: A curated awesome list of flake8 extensions. Feel free to contribute! :mortar_board: (by DmytroLitvinov)
| aws-deepracer | awesome-flake8-extensions | |
|---|---|---|
| 2 | 4 | |
| 7 | 1,199 | |
| - | - | |
| 2.7 | 6.4 | |
| over 3 years ago | 3 months ago | |
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
aws-deepracer
Posts with mentions or reviews of aws-deepracer.
We have used some of these posts to build our list of alternatives
and similar projects.
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Fine-tuning the performance of the model
Additional Resources: AWS DeepRacer e-learning course for free: https://www.aws.training/Details/eLearning?id=32143 For source-code and get started pack, see https://github.com/Vivek0712/aws-deepracer For more information about AWS DeepRacer, see https://aws.amazon.com/deepracer/. For more information about AWS Training and Certification, see https://aws.amazon.com/training/. To troubleshoot and collaborate about the AWS DeepRacer, see https://forums.aws.amazon.com/forum.jspa?forumID=318.
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Create, Train, Race your first AWS DeepRacer Model
For source-code and get started pack
awesome-flake8-extensions
Posts with mentions or reviews of awesome-flake8-extensions.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-12.
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Ultimately we want to test our code with Flake8 and plugins to enforce a more consistent code style and to encourage best practices. When you first introduce flake8 or a new plug-in commonly you have a lot of violations that you can silence with a #noqa comment. When you first introduce a new flake8 plugin, you will likely have a lot of violations, which you silence with #noqa comments. Over time these comments will become obsolete because you fixed the. yesqa will automatically remove these unnecessary #noqa comments.
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Python toolkits
flake8 for linting along with following plugin (list of awesome plugin can be found here, but me and my teammates have selected the below one. Have linting but don't make it too hard.) flake8-black which uses black for code formatting check. flake8-isort which uses isort for separation of import in section and formatting them alphabetically. flake8-bandit which uses bandit for security linting. flake8-bugbear for finding likely bugs and design problems in your program. flake8-bugbear - Finding likely bugs and design problems in your program. pep8-naming for checking the PEP-8 naming conventions. mccabe for Ned’s script to check McCabe complexity flake8-comprehensions for writing better list/set/dict comprehensions.
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Write better Python - with some help!
In addition to this out of the box -linting, there are loads of flake8 extensions that can help you with for example switching from .format() to using f-strings or checking that your naming follows the PEP8 guidelines. For example, adding flake8-length adds line length checking to the linting.
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Standards to be aware of
And if you're using flake8, make sure to check out its plugins. Here's a good list: https://github.com/DmytroLitvinov/awesome-flake8-extensions
What are some alternatives?
When comparing aws-deepracer and awesome-flake8-extensions you can also consider the following projects:
howtheysre - A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
black - The uncompromising Python code formatter
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
unimport - :rocket: The ultimate linter and formatter for removing unused import statements in your code. [Moved to: https://github.com/hakancelikdev/unimport]
pep8-naming - Naming Convention checker for Python
pyre-check - Performant type-checking for python.
flakes - list of flake8 plugins and their codes
portray - Your Project with Great Documentation.
awesome-sites-to-test-on - A curated list of sites to practice testing on
pygeoif - Basic implementation of the __geo_interface__ 🌐️
Poetry - Python packaging and dependency management made easy
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
aws-deepracer vs howtheysre
awesome-flake8-extensions vs black
awesome-flake8-extensions vs Airflow
awesome-flake8-extensions vs unimport
awesome-flake8-extensions vs pep8-naming
awesome-flake8-extensions vs pyre-check
awesome-flake8-extensions vs flakes
awesome-flake8-extensions vs portray
awesome-flake8-extensions vs awesome-sites-to-test-on
awesome-flake8-extensions vs pygeoif
awesome-flake8-extensions vs Poetry
awesome-flake8-extensions vs pre-commit