ImportPython Weekly - 80

1 year ago

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ImportPython Newsletter
Issue 80.
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Using Spectrum - Standalone Logging Server with Python. Review on Import Python Blog.
Spectrum is to logging what sqlite3 is to databases. It’s a standalone logging server plus log viewer with filtering capabilities. It scales to multiple logging streams with endpoint being a file residing on filesystem, REST API endpoint, Syslog, UDPStream, WebSocketStream. This blogpost shows how to use spectrum and wraps up with pros and cons. Have a read.
Newsletter for Django Developers - Launched.
django is a weekly newsletter dedicated to Django. The first issue is already out. Have a look.
Why is Python Slow ?
In case you missed it, Marius recently wrote a post on the Pyston blog about our baseline JIT tier. Our baseline JIT sits between our interpreter tier and our LLVM JIT tier, providing better speed than the interpreter tier but lower startup overhead than the LLVM tier. There's been some discussion over on Hacker News, and the discussion turned to a commonly mentioned question: if LuaJIT can have a fast interpreter, why can't we use their ideas and make Python fast? This is related to a number of other questions, such as "why can't Python be as fast as JavaScript or Lua", or "why don't you just run Python on a preexisting VM such as the JVM or the CLR". Since these questions are pretty common I thought I'd try to write a blog post about it.
Create your own shell in Python
core python
I’m curious to know how a shell (like bash, csh, etc.) works internally. So, I implemented one called yosh (Your Own SHell) in Python to answer my own curiosity. The concept I explain in this article can be applied to other languages as well.
Note from curator - After graduating from college I interviewed with Yahoo and they had asked me to create one during interview. It's a good exercise for any computer science student/professional.
MongoFrames - a fast unobtrusive MongoDB ODM for Python
A five minute walk-through of MongoFrames' key features and how to start using them.
An Introduction to Scientific Python – Pandas
Pandas allows us to deal with data in a way that us humans can understand it; with labelled columns and indexes. It allows us to effortlessly import data from files such as csvs, allows us to quickly apply complex transformations and filters to our data and much more. It’s absolutely brilliant.
This is the third post in this series on scientific Python and take a look at Pandas. Don’t forget to check out the other posts if you haven’t yet!
Tutorial: Getting started with Docker Swarm and deploying a replicated Python 3 Application
Today, I want to show you how to use Docker Swarm and then deploy a simple Python Falcon REST app. Although I won’t be using dockerrun or the serverless capabilities I think you might be surprised how easy it is to deploy (replicated) Python applications (actually any sort of application: Java, Go, etc.) with Docker Swarm.
Allen Downey - Bayesian statistics made simple - PyCon 2016
An introduction to Bayesian statistics using Python. Bayesian statistics are usually presented mathematically, but many of the ideas are easier to understand computationally. People who know Python can get started quickly and use Bayesian analysis to solve real problems. This tutorial is based on material and case studies from Think Bayes (O’Reilly Media).
Say What ?
This script listens to meetings I'm supposed to be paying attention to and pings me on hipchat when my name is mentioned.
It sends me a transcript of what was said in the minute before my name was mentioned and some time after.
It also plays an audio file out loud 15 seconds after my name was mentioned which is a recording of me saying, "Sorry, I didn't realize my mic was on mute there."
Uses IBM's Speech to Text Watson API for the audio-to-text.
Pendulum - Python datetimes made easy
Handle datetimes, timedeltas and timezones in a more natural fashion. Pendulum provides a cleaner and more easy to use API while still relying on the standard library. So it's still datetime but better.
EuroPython 2016: Last day to get tickets at regular rate
We will be switching to the on-desk rates for tickets tomorrow, so today is your last chance to get tickets at the regular rate, which is about 30% less than the on-desk rate.
The Python/Django community is amazing! ?
Experience with the Djangogirls community.
tv -
20 Stars, 0
Quickly view (satellite) imagery directly in your terminal
Face-Extractor -
10 Stars, 0
A Python based tool to extract faces from any picture.
yosh -
10 Stars, 1
yosh - Your Own Shell in Python. Repository of the article shared in Worthy Read section.
TensorFlow101 -
8 Stars, 1
Introduction to TensorFlow. I have recently been playing around with TensorFlow after being introduced to it during cs224d at Stanford last quarter.
CalvinBall -
5 Stars, 0
calvin and hobbes search engine. One where you enter the text and get the relevant comic strip.
django-docker-cloud-template -
2 Stars, 0
This is a template for Django applications that can be run with Docker Compose locally and Docker Cloud in production.
Upcoming Conference / User Group Meet
Edmonton Python User Group
PyGotham 2016
EuroPython 2016
PyOhio 2016
PyCon Australia 2016
PyCon APAC 2016
EuroScipy 2016
Kiwi PyCon
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