Python
Python is a dynamically typed programming language designed by Guido van Rossum. Much like the programming language Ruby, Python was designed to be easily read by programmers. Because of its large following and many libraries, Python can be implemented and used to do anything from webpages to scientific research.
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- Created by Guido van Rossum
- Released February 20, 1991
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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A curated list of awesome Python frameworks, libraries, software and resources
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All Algorithms implemented in Python
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Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications — automate in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com/ansible/
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scikit-learn: machine learning in Python
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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yf225
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Sep 9, 2019
Currently, PyTorch C++ API is missing many torch::nn layers that are available in the Python API. As part of the Python/C++ API parity work, we would like to add the following torch::nn modules and utilities in C++ API:
Containers
- Module (TODO: some APIs are missing in C++, e.g.
register_forward_hook/register_forward_pre_hook) - Sequential (@ShahriarSS)
- Modul
The world's simplest facial recognition api for Python and the command line
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:house_with_garden: Open source home automation that puts local control and privacy first
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100 Days of ML Coding
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Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
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azl397985856
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Sep 27, 2019
给定一个 N 叉树，找到其最大深度。
最大深度是指从根节点到最远叶子节点的最长路径上的节点总数。
例如，给定一个 3叉树 :
我们应返回其最大深度，3。
说明:
树的深度不会超过 1000。
树的节点总不会超过 5000。
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/maximum-depth-of-n-ary-tree
著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
A collection of design patterns/idioms in Python
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Python Data Science Handbook: full text in Jupyter Notebooks
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Learn about python
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Hi!
We followed the guide, which seems bit outdated as
tensorflow/contribhas been removed. We couldn't get TFLite model with select ops working on iOS, while the same model is working well on Android. It seems that bazel could also be used for building the library together with using private CocoaPods. We tested this approach but were a