iovisor / bcc
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
https://github.com/iovisor/bcc
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
https://github.com/iovisor/bcc
GitHub
GitHub - iovisor/bcc: BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more - iovisor/bcc
tiangolo / fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
https://github.com/tiangolo/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
https://github.com/tiangolo/fastapi
GitHub
GitHub - fastapi/fastapi: FastAPI framework, high performance, easy to learn, fast to code, ready for production
FastAPI framework, high performance, easy to learn, fast to code, ready for production - fastapi/fastapi
Decoupling database migrations from server startup: why and how
If you’re using a schema management tool like Django ORM or Alembic, you need to run the ...
https://pythonspeed.com/articles/schema-migrations-server-startup/
If you’re using a schema management tool like Django ORM or Alembic, you need to run the ...
https://pythonspeed.com/articles/schema-migrations-server-startup/
Python⇒Speed
Decoupling database migrations from server startup: why and how
Migrating your database schema when your application’s Docker container starts up? Here’s some reasons to rethink that choice.
The Pros of Using Django for Web Development
https://levelup.gitconnected.com/pros-of-using-django-for-web-development-f0f148cb8bd3
https://levelup.gitconnected.com/pros-of-using-django-for-web-development-f0f148cb8bd3
Use Cython to get more than 30X speedup on your Python code
https://towardsdatascience.com/use-cython-to-get-more-than-30x-speedup-on-your-python-code-f6cb337919b6
https://towardsdatascience.com/use-cython-to-get-more-than-30x-speedup-on-your-python-code-f6cb337919b6
The Celery Python Guide: Basics, Examples and Useful Tips
https://codeburst.io/the-celery-python-guide-basics-examples-and-useful-tips-d8da1fcfaea3
https://codeburst.io/the-celery-python-guide-basics-examples-and-useful-tips-d8da1fcfaea3
Plotly.py 4.0 is here: Offline Only, Express First, Displayable Anywhere
https://medium.com/@plotlygraphs/plotly-py-4-0-is-here-offline-only-express-first-displayable-anywhere-fc444e5659ee
https://medium.com/@plotlygraphs/plotly-py-4-0-is-here-offline-only-express-first-displayable-anywhere-fc444e5659ee
An Introduction to Recurrent Neural Networks for Beginners
A simple walkthrough of what RNNs are, how…
https://towardsdatascience.com/an-introduction-to-recurrent-neural-networks-for-beginners-664d717adbd
A simple walkthrough of what RNNs are, how…
https://towardsdatascience.com/an-introduction-to-recurrent-neural-networks-for-beginners-664d717adbd
MicroPython and the Internet of Things, Part IV: Wi-Fi and the Cloud
In this chapter I'm going to show you how to use the Wi-Fi capabilities of the ESP8266 chip.
If you ...
http://blog.miguelgrinberg.com/post/micropython-and-the-internet-of-things-part-iv-wi-fi-and-the-cloud
In this chapter I'm going to show you how to use the Wi-Fi capabilities of the ESP8266 chip.
If you ...
http://blog.miguelgrinberg.com/post/micropython-and-the-internet-of-things-part-iv-wi-fi-and-the-cloud
Miguelgrinberg
MicroPython and the Internet of Things, Part IV: Wi-Fi and the Cloud
In this chapter I'm going to show you how to use the Wi-Fi capabilities of the ESP8266 chip.If you want to see me and hear me explain everything in this tutorial, I encourage you to purchase the…
bytedance / byteps
A high performance and general PS framework for distributed training
https://github.com/bytedance/byteps
A high performance and general PS framework for distributed training
https://github.com/bytedance/byteps
GitHub
GitHub - bytedance/byteps: A high performance and generic framework for distributed DNN training
A high performance and generic framework for distributed DNN training - bytedance/byteps
Python Backends: Flask Versus Django
What is right for your next project?
https://medium.com/better-programming/python-backends-flask-versus-django-5de314fa70ff
What is right for your next project?
https://medium.com/better-programming/python-backends-flask-versus-django-5de314fa70ff
150+ Business Data Science Application in Python
https://towardsdatascience.com/150-business-data-science-application-in-python-72597d90f928
https://towardsdatascience.com/150-business-data-science-application-in-python-72597d90f928
junyanz / pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
GitHub
GitHub - junyanz/pytorch-CycleGAN-and-pix2pix: Image-to-Image Translation in PyTorch
Image-to-Image Translation in PyTorch. Contribute to junyanz/pytorch-CycleGAN-and-pix2pix development by creating an account on GitHub.
Python Top 10 Articles for the Past Month (v.July 2019)
https://medium.mybridge.co/python-top-10-articles-for-the-past-month-v-july-2019-e9ad555284ad
https://medium.mybridge.co/python-top-10-articles-for-the-past-month-v-july-2019-e9ad555284ad
NVIDIA / pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
https://github.com/NVIDIA/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
https://github.com/NVIDIA/pix2pixHD
GitHub
GitHub - NVIDIA/pix2pixHD: Synthesizing and manipulating 2048x1024 images with conditional GANs
Synthesizing and manipulating 2048x1024 images with conditional GANs - NVIDIA/pix2pixHD
lazyprogrammer / machine_learning_examples
A collection of machine learning examples and tutorials.
https://github.com/lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
https://github.com/lazyprogrammer/machine_learning_examples
GitHub
GitHub - lazyprogrammer/machine_learning_examples: A collection of machine learning examples and tutorials.
A collection of machine learning examples and tutorials. - lazyprogrammer/machine_learning_examples