Python Managing Python Packages Through Virtual Environments How to set up a Python project and manage its dependencies using virtual environments.
Python Installing Jupyter on a Mac using Homebrew Installing Jupyter on OS X using Homebrew for Machine Learning.
Radio Radio: Preparing WAV files for cloud-based radio The team at USC Radio Labs [http://www.uscradiogroup.org/labs] has been working to solve a pretty exciting problem: converting 60k+ audio files from WAV format to something more internet-ready. For context, in the 1990s, many radio stations started moving towards automating their music programming. The benefits were clear:
Python Where to learn about Deep Learning I've been stumbling upon all of these great resources so I'm deciding to make a simple list. If there's anything else I should add, please let me know. Python * How to set up your AWS deep learning server [http://course.fast.ai/lessons/aws.html] from Fast.ai [http://www.
Python Installing multiple versions of Python on Mac using Homebrew Mac comes with Python 2.7 pre-installed, but some newer AI libraries prefer you use Python 3+. Here's how to configure your Mac so that you can easily install any version of Python. If you're a Ruby developer, you'll likely understand the power behind Ruby Version Manager [https://www.chrisjmendez.
Swift Tools for App Makers In order to build websites, apps or API's, every developer ultimately ends up curating a suite of tools that can help them build products better, cheaper and faster. Below are a few tools that I use all the time. API Development * Postman [https://www.getpostman.com/] - Google Chrome plug-in
For Developers Reading RFID with Raspberry Pi Step 1 Install Serial lib sudo apt-get install python serial Step 2 Find the RFID reader within Raspberry Pi ls /dev/tty* import time import serial delay = 0 port = 2400 tag_death = "440033886D" serial = serial.Serial('/dev/ttyUSB0', port, timeout=1) def check(): #The tag is a 12-byte string
Python Python: Basic Feedparser example Download Feedparser [https://pypi.org/project/feedparser/] through Pip. import feedparser d = feedparser.parse("http://feeds.delicious.com/v2/rss/twelvetone") print d['feed']['title'] print d.feed.title print d.feed.link print d['items'][1].title
