Thanks everyone for commenting/contributing! I made this in college for a class and I no longer really use the technology. I encourage you all to help each other, but I probably won't be answering questions anymore.
This article is also on my blog: https://emilykauffman.com/blog/install-anaconda-on-wsl
Note: $
denotes the start of a command. Don't actually type this.
- Install WSL (Ubuntu for Windows - can be found in Windows Store). I recommend the latest version (I'm using 18.04) because there are some bugs they worked out during 14/16 (microsoft/WSL#785)
- Go to https://repo.continuum.io/archive to find the list of Anaconda releases
- Select the release you want. I have a 64-bit computer, so I chose the latest release ending in
x86_64.sh
. If I had a 32-bit computer, I'd select thex86.sh
version. If you accidentally try to install the wrong one, you'll get a warning in the terminal. I chose `Anaconda3-5.2.0-Li
I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6
apt-get update && apt-get install gdb
#!/bin/bash | |
modprobe -r ec_sys | |
modprobe ec_sys write_support=1 | |
on="\x8a" | |
off="\x0a" | |
led(){ | |
echo -n -e $1 | dd of="/sys/kernel/debug/ec/ec0/io" bs=1 seek=12 count=1 conv=notrunc 2> /dev/null |
First you'll want to check if you need a visa to enter the UK.
- Nationals of the EU, Switzerland, and EEA countries will not need a visa, and are free to work and conduct business in the UK.
- Nationals from some designated countries such as USA may travel for tourist or business purposes under a visa exemption. The link above will detail what documents you need to provide in order to travel under a visa exemption.
- Other nationals will need a visa.
The rules for allowable business travel under a visa exemption are covered by the same rules as those travelling under a vistor visa. If you will be travelling under a visa-exemption and the conference is covering your costs in any way you should make sure to read the relevant section below.
create index on :Country(name); | |
create index on :City(name); | |
create index on :Sport(name); | |
create index on :Discipline(name); | |
create index on :Athlete(name); | |
create index on :Event(name); | |
create index on :Year(name); | |
create index on :Gender(name); | |
create constraint on (c:Country) assert c.noc is unique; |
Edward Snowden answered questions after a showing of CITIZENFOUR at the IETF93 meeting; this is a transcript of the video recording.
For more information, see the Internet Society article.
### Title: Back to basics: High quality plots using base R graphics | |
### An interactive tutorial for the Davis R Users Group meeting on April 24, 2015 | |
### | |
### Date created: 20150418 | |
### Last updated: 20150423 | |
### | |
### Author: Michael Koontz | |
### Email: [email protected] | |
### Twitter: @michaeljkoontz | |
### |
Installing on Amazon Linux AMI (release 2014.09)
Installing using yum. By default Amazon Linux AMI release has only AWS's yum repos, but it has EPEL (Extra Packages for Enterprise Linux) predefined but not enabled. To temporarily enable the EPEL 6 repository, use the yum command line option --enablerepo=epel.
Installing duplicity and dependencies:
sudo yum install duplicity rsync gpg python python-devel python-pip --enablerepo=epel
Insalling duply manually (latest version can be found here):
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t