Top 6 Python Pallet Projects
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In this beginner-friendly guide, we will create a simple API using Python and Flask a lightweight and easy-to-use web framework for Python that allows developers to create APIs and web applications quickly. This API will take a number as input and return some basic properties, such as whether it is even or odd, and its square. We will also deploy the API so that it can be accessed from anywhere.
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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How to Accomplish: Design your scripts to accept command-line arguments or read from configuration files for all variable parameters, such as learning rates, batch sizes, and paths to datasets. Libraries like Click, Fire, and Typer make it easy to implement CLI-based configurations, while configuration file parsers (e.g., JSON, YAML) allow for more complex setups.
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Project mention: templatedx VS Jinja2 - a user suggested alternative | libhunt.com/r/templatedx | 2024-11-15
TemplateDX provides type-safety and a more familiar JSX/markdown syntax out of the box vs Jinja's old-school tag usage.
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Index
What are some of the best open-source Pallet projects in Python? This list will help you:
# | Project | Stars |
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1 | Flask | 69,380 |
2 | click | 16,285 |
3 | Jinja2 | 10,806 |
4 | Werkzeug | 6,739 |
5 | itsdangerous | 2,997 |
6 | MarkupSafe | 652 |