| .PHONY: clean | |
| all: reimbursements.csv | |
| clean: | |
| rm -f reimbursements.csv reimbursements.json | |
| reimbursements.csv: reimbursements.json | |
| @echo 'issue_date,term_id,term,applicant_id,congressperson_id,congressperson_name,congressperson_document,party,state,subquota_id,subquota_description,subquota_group_id,subquota_group_description,supplier,cnpj_cpf,passenger,leg_of_the_trip,document_type,document_number,installment,batch_number,document_id,document_value,remark_value,total_net_value,total_reimbursement_value,probability,receipt.url,receipt.fetched,last_update,available_in_latest_dataset,suspicions.irregular_companies_classifier,suspicions.meal_price_outlier,suspicions.election_expenses,suspicions.invalid_cnpj_cpf,suspicions.over_monthly_subquota_limit,suspicions.suspicious_traveled_speed_day,suspicions.meal_price_outlier,suspicions.irregular_companies_classifier' > $@ | |
| jq -r '.results[] | [.issue_date, .term_id, .term, .applicant_id, .congressperson_id, .congressperson_name, .congressperson_document, .party, .s |
| license: gpl-3.0 | |
| redirect: https://observablehq.com/@mbostock/voroblobinoids |
| import requests | |
| from bs4 import BeautifulSoup | |
| import time | |
| # We've now imported the two packages that will do the heavy lifting | |
| # for us, reqeusts and BeautifulSoup | |
| # This is the URL that lists the current inmates | |
| # Should this URL go away, and archive is available at | |
| # http://perma.cc/2HZR-N38X |
The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.
The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.
| # The blog post that started it all: https://neocities.org/blog/the-fcc-is-now-rate-limited | |
| # | |
| # Current known FCC address ranges: | |
| # https://news.ycombinator.com/item?id=7716915 | |
| # | |
| # Confirm/locate FCC IP ranges with this: http://whois.arin.net/rest/net/NET-165-135-0-0-1/pft | |
| # | |
| # In your nginx.conf: | |
| location / { |
| We will develop a system that will empower everyone to perform | |
| giving and microdonation as a part of any transaction. | |
| Many open source projects do not have necessary support to fund the work on an ongoing basis. | |
| We plan to use the funds raised to support the work of development and maintenance of | |
| the giving feature for the first year of work, which will include work to promote adoption | |
| and support through multiple wallets and decentralized protocols, including, but not limited to bitcoin. | |
| On github, the users ABISprotocol and ktorn provide vision and direction on the project, and will | |
| work with coders or developers who are interested in contributing. If funding (grants, donations, etc.) |
This guide enables you to install (ruby-build) and use (rbenv) multiple versions of ruby, isolate project gems (gemsets and/or bundler), and automatically use appropriate combinations of rubies and gems.
# Ensure system is in ship-shape.
aptitude install git zsh libssl-dev zlib1g-dev libreadline-dev libyaml-dev
| #!/usr/bin/python | |
| import wave | |
| import numpy | |
| import struct | |
| import sys | |
| import csv | |
| from scikits.samplerate import resample | |
| def write_wav(data, filename, framerate, amplitude): |
| <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> | |
| <HTML> | |
| <HEAD> | |
| <TITLE> Jogo da Velha </TITLE> | |
| <META NAME="Generator" CONTENT="EditPlus"> | |
| <META NAME="Author" CONTENT=""> | |
| <META NAME="Keywords" CONTENT=""> | |
| <META NAME="Description" CONTENT=""> | |
| <style> |