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Issue - 122


Worthy Read

Our team is looking for a wide range of each topic which you would like to talk. The same as in the past, we are planing to have talk session(30minute), poster session(booth style), Lighting talks(5minute) and more. Even if you are a python beginner, please do not hesitate to apply for it.
pycon

Users finding bugs? Searching logs for errors? Find + fix broken code fast!
sponsor

NASA has a bunch of awesome APIs which give you programmatic access to the wonders of space. I think the Mars Rover Photos API in particular is really amazing as you can use it to see what kind of pictures the Mars Curiosity rover has been taking. Let’s build an app using the Mars Rover API with Twilio MMS, Python and Flask to make it so that we can text a phone number and receive pictures from Mars.
flask
,
nasa

First of all, I want to point out that it is very flexible tool to create readable analyses, because one can keep code, images, comments, formula and plots together:
jupyter

Learn how to use the gensim Python library to determine the similarity between two or more documents.
gensim

In last week’s blog post, I demonstrated how to perform facial landmark detection in real-time in video streams.Today, we are going to build upon this knowledge and develop a computer vision application that is capable of detecting and counting blinks in video streams using facial landmarks and OpenCV.
opencv

The latest Edition focuses on Two Scoops of Django is out. I recall buying the first edition which was based on 1.5. This book holds a special place in the Django community IMHO. This Edition is focused on Django 1.11 and Python 3, with an appendix for working with Python 2.7. Revised material on nearly every topic within the book. 20+ pages of new material on Django REST Framework, security, forms, models, and more. I look forward to doing a review of the book as soon as it launches in Dead Tree Format in my country ( India ) like the previous editions.
python

Getting started with custom visualizations, simple tables & word clouds
jupyter

The goal of this notebook is to build and analyse a map of the 10,000 most popular subreddits on Reddit.
numpy
,
pandas
,
scipy

This module implements specialized container datatypes providing alternatives to Python’s general purpose built-in containers, dict, list, set, and tuple.
collections module

list

numpy

This talk gives an overview of the Neo4j graph database and the Cypher query language from the point of view of a Python user. We'll look at how to run queries and visualise or extract those results into software such as Pandas. We'll also explore the property graph data model and look at how it differs from other data models.
video
,
neo4js

pydata

micropython

One of the first hurdles that you can encounter when trying out asyncio is "asyncio eats all my memory!". Indeed, to keep you CPU busy, you're encouraged to launch a lot of coroutines simultaneously. coroutines don't use a lot of memory by themselves, but what you're doing inside them can use quite a lot of memory.
asyncio

tensorflow


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