uranusjr

pip 即將更新依賴解析器（dependency resolver）

Partially translated from: https://pyfound.blogspot.com/2020/03/new-pip-resolver-to-roll-out-this-year.html

去年的 PSF 發文中提到，pip 的開發團隊正在為 pip 實作一個新的解析器（resolver）。我們計畫在今年把它釋出。

會有什麼改變

解析器的最重要改變會包括：

yhatt

marp

Marp

Markdown presentation ecosystem

mort3za

# Generate a new pgp key: (better to use gpg2 instead of gpg in all below commands)
gpg --gen-key
# maybe you need some random work in your OS to generate a key. so run this command: `find ./* /home/username -type d | xargs grep some_random_string > /dev/null`

# check current keys:
gpg --list-secret-keys --keyid-format LONG

# See your gpg public key:
gpg --armor --export YOUR_KEY_ID
# YOUR_KEY_ID is the hash in front of `sec` in previous command. (for example sec 4096R/234FAA343232333 => key id is: 234FAA343232333)

olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

isaacs

# Hello, and welcome to makefile basics.
#
# You will learn why `make` is so great, and why, despite its "weird" syntax,
# it is actually a highly expressive, efficient, and powerful way to build
# programs.
#
# Once you're done here, go to
# http://www.gnu.org/software/make/manual/make.html
# to learn SOOOO much more.

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

audreyt

開源之道

Original transcript: http://allisonrandal.com/2012/04/15/open-source-enlightenment/

這幾年來，我慢慢覺得，我們參與開源社群，就像是在一條道路上並肩而行：這不僅讓我們成為更好的程式設計者，也讓我們通過與人合作，而成為更好的人。

您可以將它想成一條修行之道，讓身而為人的我們能夠不斷成長。接下來，我想談談我對開源世界的個人觀點，希望能與您分享。

首先，人是一切開源專案的核心。程式碼是很重要，但最核心的永遠是人。

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

entaroadun

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html