opsdroid
NumPy
opsdroid | NumPy | |
---|---|---|
4 | 272 | |
812 | 26,413 | |
0.6% | 0.9% | |
2.8 | 10.0 | |
7 days ago | about 13 hours ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
opsdroid
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Planing 0.4
I decided to add to an open source Python based chat bot called opsdroid. I was initially worried about whether I had what it takes to do another code contribution on time, learning an entirely new project is always daunting. I brought it up to my professor David and he encouraged me to go for it, an honest attempt at something beyond my capabilities would be taken into consideration for the final project and to "be fearless. don't let code push you around.
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Hacktoberfest 2021 - Completed as Contributor and Maintainer!
This time I helped them migrate to aioredis 2.0 (and then used the experience I've got to do the same in my own project), and to set up proper docker images builds: https://github.com/opsdroid/opsdroid/pull/1835 https://github.com/opsdroid/opsdroid/pull/1836
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Slack/Discord bot for running interactive REPLs and shells from a chat
Have a look at https://opsdroid.dev/ it has Slack support, you can then bridge Slack/Discord with matterbridge or something to get functionality from both sides.
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Hacktoberfest: 69 Beginner-Friendly Projects You Can Contribute To
https://github.com/opsdroid/opsdroid An open source chat-ops bot framework
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
- help with installing numpy, please
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A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
What are some alternatives?
rasa-sample-nlu-bot - A sample RASA powered NLU chatbot boilerplate which showcases the various different messaging features of MACHAAO Chat Apps Platform via a custom connector
SymPy - A computer algebra system written in pure Python
pyatv - A client library for Apple TV and AirPlay devices
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:
blaze - NumPy and Pandas interface to Big Data
bitcart-docker - Bitcart Docker Packaging
SciPy - SciPy library main repository
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
Numba - NumPy aware dynamic Python compiler using LLVM
fastkml - Fast 🌍️ KML processing for python
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).