Python drawer – Telegram

Python drawer

32 subscribers

1 photo

2 files

3.7K links

A collection of curated Python resources from trustworthy sources.

Download Telegram

About

Blog

Apps

Platform

https://github.com/dmrz/baymax

#tools #telegram #bot #asyncio

GitHub - dmrz/baymax: Simple telegram bot on top of Python asyncio

Simple telegram bot on top of Python asyncio. Contribute to dmrz/baymax development by creating an account on GitHub.

8 views07:00

https://github.com/EvilPort2/Sign-Language

#tools

GitHub - EvilPort2/Sign-Language: A very simple CNN project to recognize gestures made in American Sign Language

A very simple CNN project to recognize gestures made in American Sign Language - EvilPort2/Sign-Language

8 views07:00

https://github.com/sjvasquez/handwriting-synthesis

#tools #synthesis

GitHub - sjvasquez/handwriting-synthesis: Handwriting Synthesis with RNNs ✏️

Handwriting Synthesis with RNNs ✏️. Contribute to sjvasquez/handwriting-synthesis development by creating an account on GitHub.

8 views07:00

https://github.com/kennethreitz/s3monkey

#tools #amazon #aws #s3 #buckets

kennethreitz/s3monkey

s3monkey - A Python library that allows you to interact with Amazon S3 Buckets as if they are your local filesystem.

8 views07:00

https://github.com/kennethreitz/twitter-scraper

#tools #twitter #scraping

GitHub - bisguzar/twitter-scraper: Scrape the Twitter Frontend API without authentication.

Scrape the Twitter Frontend API without authentication. - bisguzar/twitter-scraper

8 views07:02

https://github.com/deepmipt/DeepPavlov

#tools #bots #chatbots

GitHub - deeppavlov/DeepPavlov: An open source library for deep learning end-to-end dialog systems and chatbots.

An open source library for deep learning end-to-end dialog systems and chatbots. - deeppavlov/DeepPavlov

10 views07:02

https://github.com/NVIDIA/FastPhotoStyle

#tools #deepLearning

GitHub - NVIDIA/FastPhotoStyle: Style transfer, deep learning, feature transform

Style transfer, deep learning, feature transform. Contribute to NVIDIA/FastPhotoStyle development by creating an account on GitHub.

10 views07:03

Python courses that teach you how to work with large amounts of data

https://www.reddit.com/r/Python/comments/8044ro/which_python_course_is_teaching_you_how_to_work/

Which Python course is teaching you how to work with... • r/Python

If you are working on large projects where dealing with large amount of data simply Python I think could not be a solution. But I still need to...

13 viewsedited 07:03

Guido van Rossum - BDFL Python 3 retrospective

https://www.reddit.com/r/Python/comments/80lpda/guido_van_rossum_bdfl_python_3_retrospective/

Guido van Rossum: BDFL Python 3 retrospective • r/Python

7 points and 0 comments so far on reddit

13 views07:04

Python package maintainers, heping test the new PyPI

https://pyfound.blogspot.ro/2018/02/python-package-maintainers-help-test.html

pyfound.blogspot.co.uk

Python package maintainers, help test the new PyPI!

Warehouse is a next-generation Python Package Repository which will replace the existing code base that currently powers PyPI . (See the ...

15 views07:04

https://blog.hasura.io/how-to-write-dockerfiles-for-python-web-apps-6d173842ae1d

Hasura GraphQL Engine Blog

How to Write Dockerfiles for Python Web Apps

Step by step guide to writing highly optimized Dockerfiles for Python web app development and deployment.

10 views05:29

https://engineering.hexacta.com/pandas-by-example-columns-547696ff78dd

Pandas by example: columns

Let’s review the many ways to do the most common operations over dataframe columns using pandas.

10 views05:29

https://medium.com/kalo-product-engineering/exploring-rest-and-graphql-with-python-3-5dd2018e8cf5

Exploring REST and GraphQL with Python 3

In the past couple of years, we’ve seen companies begin to embrace GraphQL as an alternative to REST API’s due to their expressive power…

10 views05:29

https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-with-code-a2284bae952f

Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

10 views05:29

https://medium.com/time-to-fish/find-your-desired-fishing-site-in-ontario-canada-ff6f3ac0caff

Find your desired fishing site in Ontario Canada

Once, I was talking with my colleague about outdoor activities, and he told me that he is a fishing enthusiast. It didn’t bring up my…

9 views05:29

https://medium.com/@danjrod/interactive-brokers-in-python-with-backtrader-23dea376b2fc

Interactive Brokers in Python with backtrader

Getting into real algotrading

8 views05:29

https://medium.com/@bourvill/machine-learning-your-first-recommender-model-67653da6ab48

Machine learning your first recommender model

Apple released a few weeks ago, Turicreate, an open source framework to create easily model for CoreML. In this tutorial, you don’t need…

7 views05:29

https://github.com/MentatInnovations/datastream.io

#tools #elk

GitHub - MentatInnovations/datastream.io: An open-source framework for real-time anomaly detection using Python, ElasticSearch…

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana - MentatInnovations/datastream.io

7 views05:30

https://towardsdatascience.com/step-by-step-guide-to-build-your-own-mini-imdb-database-fc39af27d21b

Step-by-step guide to build your own ‘mini IMDB’ database

How to use simple Python libraries and built-in capabilities to scrape the web for movie information and store them in a local SQLite…

6 views05:30

http://www.countingcalculi.com/explanations/google_sheets_and_jupyter_notebooks/?utm_source=reddit.com&utm_medium=social&utm_content=2018-03-01

Counting Calculi

Integrate Google Sheets and Jupyter Notebooks

How to pass data between Google Sheets and Jupyter Notebooks.

6 views05:30