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7 Command-Line Tools for Data Science | Jeroen Janssens
Data science is OSEMN (pronounced as awesome). That is, it involves Obtaining, Scrubbing, Exploring, Modelling, and iNterpreting data. As a data scientist, I spend quite a bit of time on the command-line, especially when there’s data to be obtained, scrubbed, or explored. And I’m not alone in this. Recently, Greg Reda discussed how the classics (e.g., head, cut, grep, sed, and awk) can be used for
Our Favourite Linux Cheat Sheets
Most Linux system administrators spend their days at the command line, configuring and monitoring their servers through an SSH session. The command line is extremely powerful, but it can be difficult to keep all the options switches and tools in your head. Man pages are only a command away, but they’re often not written for quick consultation, so when we’re stuck for some of the more arcane option
Re: UNIX Command Idioms - （ã²ï¼‰ãƒ¡ãƒ¢
Re: [twitter:@riywo]'s UNIX Command Idioms ps auxwwwwwww number of "w" depends on my mood in that day :D ps auxwwwwwwwww -L netstat -tna / -una / -tnl / -tnap tar xvf tar zxvf / jxvf / Jxvf are boring trailing slash in rsync rsync -av file [file] HOST:dir/ rsync -av dir/ HOST:dir/ tcpdump -i any -nlx strace -s 100 -fFTttt diff -u /path/to/file <(ssh host cat /path/to/file) see also: http://d.haten
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Instagram/redis-faina · GitHub - A query analyzer that parses Redis' MONITOR command for counter/timing stats about query patterns
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