IamPython
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This is Python based telegram group for web developers, Artificial intelligence, webscraping, Datascience, Data analysis, Ethical Hacking and more. You will learn lot insights and useful information
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Manim is an animation engine for explanatory math videos.It's used to create precise animations programmatically, as demonstrated in the videos of 3Blue1Brown.
Aims to make all of PostgreSQL's awesome features available through the Django ORM. https://github.com/SectorLabs/django-postgres-extra
skweak: A Python Toolkit For Applying Weak Supervision To NLP Tasks



pip install skweak

https://colab.research.google.com/drive/1X90PP-sGbD5_TfXxigWI5_IQqWuuXrTE?usp=sharing
Dependencies
• spacy >= 3.0.0
• hmmlearn >= 0.2.4
• pandas >= 0.23
• numpy >= 1.18
You also need Python >= 3.6.
LaMDA is Google 's latest breakthrough in Natural Language Understanding.

LaMDA stands for "Language Model for Dialogue Applications".

It has been designed to converse on any topic from Pluto to Paper Plane.

The below video shows a demo of the conversation, its really exciting.

Following from previous models such as BERT and GPT-3, LaMDA is also based on the Transformer Architecture.

What makes LaMDA different is its "open ended nature".

What does that mean?

Human conversations have chaotic features.

It implies that we can start a conversation with one topic and end up in a very different one a few minutes later.

LaMDA can actually tackle such situations and perfectly engage in natural conversations with people.
AMAZING website - "Deep Learning Drizzle"

It is a constantly-updated list of machine learning/deep learning course materials that are taught by domain experts and are available for FREE!

Check it out here →

https://deep-learning-drizzle.github.io/
Announcement — PyTorch Developer Day 2021! Application and Call for Content are now open


Technical Talks Live Stream - December 1, 2021

Poster Exhibition & Networking - December 2, 2021
Source : LinkedIn post

Python Libraries & Frameworks!
💥 Essence of the KNN algorithm in one picture!
Source: Pinterest
On device machine learning is going to be the way forward 🤖

🍎Apple devices have their own neural engine.

🔢 Google is making the tensor processor.

📱Samsung is working with AMD to bring rDNA GPUs to the Exynos processors.

The future is bright!
Did you know that the #
Python style guide (PEP8) offers guidance on how you ought to import multiple modules?
Every week, the top AI labs globally — Google, Facebook, Microsoft, Apple, etc. — release tons of new ML research work, tools, datasets, models, libraries and frameworks.
 
Interestingly, they all seem to have picked a particular school of thought in deep learning. With time, this pattern is becoming more and more clear.

DeepMind remains synonymous with reinforcement learning. From AlphaGo to MuZero and the recent AlphaFold, the company has been championing breakthroughs in reinforcement learning. 

Google is advancing AutoML in highly diverse areas like time-series analysis and computer vision. 

Apple, in the last few years, has ventured into federated learning.

Microsoft Research is pioneering machine teaching research and technology in computer vision and speech analysis. 

Amazon has become one of the leading research hubs for transfer learning methods due to its exceptional work in the Alexa digital assistant. 

IBM is pushing its research boundaries in quantum machine learning. 
*** Big Breaking ***

Python 3.10 is released today! pythonistas. 🐍 🎊


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Python 3.10 is out !!!!!!
The new error message makes our life easier...
Bringing VS Code to the browser

Fast forward to today. Now when you go to https://vscode.dev, you'll be presented with a lightweight version of VS Code running fully in the browser. Open a folder on your local machine and start coding.

No install required.
Apple removed python 2.7 from macOS Monterey 13.4