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

Python Threading - Multithreading for newbies

https://www.youtube.com/playlist?list=PLGKQkV4guDKEv1DoK4LYdo2ZPLo6cyLbm

4 views17:29

https://dbader.org/blog/python-nested-unpacking

Unpacking Nested Data Structures in Python – dbader.org

A tutorial on Python’s advanced data unpacking features: How to unpack data with the “=” operator and for-loops.

4 views17:29

https://www.youtube.com/watch?v=6tNS--WetLI

Python Tutorial: Unit Testing Your Code with the unittest Module

In this Python Programming Tutorial, we will be learning how to unit-test our code using the unittest module. Unit testing will allow you to be more comfortable with refactoring and knowing whether or not your updates broke any of your existing code. Unit…

3 views17:27

http://www.heatonresearch.com/2017/08/17/ds_rosetta_stone.html

Heaton Research

Data Science Rosetta Stone: Classification in Python, R, MATLAB, SAS, & Julia

The discovery of the Rosetta Stone in 1799 allowed scholars to finally decipher ancient Egyptian hieroglyphics. The actual content of the Rosetta stone is a very mundane government decree issued by t

2 views17:34

http://pythonconverter.com

3 views17:41

https://codewithoutrules.com/2017/08/16/concurrency-python/

Code Without Rules

The tragic tale of the deadlocking Python queue

This is a story about how very difficult it is to build concurrent programs. It’s also a story about a bug in Python’s Queue class, a class which happens to be the easiest way to make concurrency simple in Python. This is not a happy story: this is a tragedy…

4 views17:41

https://nbviewer.jupyter.org/github/austin-taylor/code-vault/blob/master/python_expert_notebook.ipynb

nbviewer.jupyter.org

Notebook on nbviewer

Check out this Jupyter notebook!

3 views17:41

https://medium.com/@skabbass1/a-closer-look-at-how-python-f-strings-work-f197736b3bdb

A Closer Look At How Python f-strings Work

PEP 498 introduced a new string formatting mechanism known as Literal String Interpolation or more commonly as F-strings (because of the…

3 views17:41

https://www.reddit.com/r/Python/comments/6ug04h/who_maintains_pypi_and_where_and_by_whom_is_it/

Who maintains PyPI and where and by whom is it hosted? • r/Python

After reading this comment https://www.reddit.com/r/Python/comments/4jaaib/pypi_download_stats_have_stopped_working_again/d355dt6/ I started...

2 views17:43

http://www.modernemacs.com/post/mile-hy/

2 views17:50

http://eli.thegreenplace.net/2017/right-and-left-folds-primitive-recursion-patterns-in-python-and-haskell/

2 views17:50

https://jamesroutley.co.uk/tech/2017/08/16/analyse-test-c-with-python.html

jamesroutley.co.uk

Analyse and test C with Python

I’ve recently been implementing data structures in C. Writing C is fun andeducational, because it’s lower level than most other common languages. It’sfast, a...

2 views17:50

https://datascience.blog.wzb.eu/2017/08/11/geocoding-an-address-and-performing-point-polygon-tests-with-gdalogr-in-python/

WZB Data Science Blog

Geocoding an address and performing point-polygon tests with GDAL/OGR in Python

Suppose you have a list of addresses and want to connect them with some kind of location-based information. For example, your addresses might scatter across several neighborhoods and you want to fi…

3 views17:50

#debugging
https://www.codementor.io/gbozee/debugging-in-python-9ia7lof32

www.codementor.io

Debugging in Python | Codementor

Learn how to easily debug your Python application with PDB.

4 views17:50

https://blog.scaleapi.com/introducing-new-image-annotation-types-47b0b482b7c2

Introducing New Image Annotation Types

We’re excited to be launching a bunch of new annotation types for images. Since the launch of our bounding box API, we’ve annotated…

7 views17:51

The post is about a terminal visualization tool lehar that is open sourced at https://github.com/darxtrix/lehar

https://medium.com/@darxtrix/visualizing-data-in-terminal-using-lehar-7cfded09c1ad

GitHub - darxtrix/lehar: Visualize data using relative ordering

Visualize data using relative ordering. Contribute to darxtrix/lehar development by creating an account on GitHub.

6 viewsedited 17:51

https://medium.com/@lucasmagnum/djangotip-select-prefetch-related-e76b683aa457

#DjangoTip: Select & Prefetch Related

Using select_related and prefetch_related to improve our queries performance.

7 views17:51

Analyzing Cryptocurrency Markets Using Python
https://blog.patricktriest.com/analyzing-cryptocurrencies-python/

Analyzing Cryptocurrency Markets Using Python

A data-driven approach to cryptocurrency (Bitcoin, Ethereum, Litecoin, Ripple etc.) market analysis and visualization using Python.

2 views15:56

PyPocketExplore: Collecting, Exploring and Predicting Popular Items on Pocket | Florents Tselai
https://tselai.com/pypocketexplore-collecting-exploring-predicting-pocket-items-machine-learning.html

PyPocketExplore: Collecting, Exploring and Predicting Popular Items on Pocket | Florents Tselai

2 views15:57

Web Scraping With Python: Scrapy, SQL, Matplotlib To Gain Data Insights
http://www.scrapingauthority.com/python-scrapy-mysql-and-matplotlib-to-gain-web-data-insights

Scraping Authority

Web Scraping With Python: Scrapy, SQL, Matplotlib To Gain Web Data Insights

I’m here today to give you an example how you can too use web scraping to gain insights from online available data. I’m gonna be using Scrapy the web scraping framework to scrape football stats

1 view15:58