| # Install git-lfs | |
| # (From https://github.com/git-lfs/git-lfs/wiki/Installation) | |
| sudo apt-get install software-properties-common | |
| sudo add-apt-repository ppa:git-core/ppa | |
| sudo apt-get update | |
| curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash | |
| sudo apt-get install git-lfs | |
| git lfs install | |
| # Add git-lfs to an existing repo |
| #Drag-and-drop upload files, via JavaScript, to a simple Python 3 HTTP server |
| #!/usr/bin/env python3 | |
| """ | |
| Drop-in replacement for pandas.DataFrame methods for reading and writing to database: | |
| pandas.DataFrame.to_sql | |
| pandas.read_sql_table | |
| For some reason the current (Jan 2023) implementation in Pandas | |
| using sqlalchemy is really slow. These methods are ~300x faster. |
| def the_song_lyrics(): | |
| while True: | |
| yield "This is the song that doesn't end" | |
| yield "Yes it goes on and on my friends" | |
| yield "Some people started singing it, not knowing what it was" | |
| yield "And they'll continue singing it forever, just because" | |
| for lyric in the_song_lyrics(): | |
| print(lyric) |
PEP-8 is a set of Python style recommendations. pep8 is a module that checks your .py file for violations. To make your Travis-CI build fail if you have any violations, you could add these lines to your .travis.yml:
before_install:
- pip install pep8
script:
# Run pep8 on all .py files in all subfolders
# (I ignore "E402: module level import not at top of file"
# because of use case sys.path.append('..'); import <module>)
Steps to get a file on your local machine uploaded to an AWS S3 bucket, and then downloaded and used in an AWS EC2 Ubuntu Instance. (In this case we do the reverse, but the process is similar)
STEP 1
Get security credentials to be able to use the AWS command line utility:
| # A script showing how to back up a MediaWiki server hosted on a remote Debian machine | |
| # I run each line manually myself | |
| # SUMMARY: Basically there are five things you should extract from the mediawiki server: | |
| # 1. LocalSettings.php: Get this from /var/www/mediawiki/LocalSettings.php | |
| # 2. images.zip: A zip file of /var/www/mediawiki/images which contains all the image data | |
| # 3. dbdump20201011.sql: A single .sql file which is a dump of every table in the /var/www/ MySQL mediawiki database, | |
| # which you can create by running mysqldump | |
| # 4. pedia_full_dump.xml: The content, by running php /var/www/mediawiki/maintenance/dumpBackup.php --full > pedia_full_dump.xml | |
| # 5. mediawiki.zip: A zip file of /var/www/mediawiki entirely (just in case we have other media or config stuff we need) |
| Asset,Type,Asset Value,Debt,Net Value,Change vs 2015,Change,Stake,Latitude,Longitude,Notes | |
| Trump Tower (New York City),Office and retail,471,100,371,-159,Down,1,40.768277,-73.981455,Opened 1983 | |
| 1290 Avenue of the Americas (New York City),Office and retail,2310,950,408,-62,Down,0.3,40.768277,-73.981455, | |
| Niketown (New York City),Office and retail,400,10,390,-52,Down,1,40.768277,-73.981455,Ground lease through 2079 | |
| 40 Wall Street (New York City),Office and retail,501,156,345,-28,Down,1,40.768277,-73.981455, | |
| Trump Park Avenue (New York City),Residential and retail,191,14.3,176.7,-27,Down,1,40.768277,-73.981455,"49,564 sq. ft. of condos; 27,467 sq. ft. of retail" | |
| Trump Parc/Trump Parc East (New York City),Residential and retail,88,0,88,17,Up,1,40.768277,-73.981455,"11,750 sq. ft. of condos; 14,963 sq. feet of retail; 13,108 sq. ft. of garage" | |
| "Trump International Hotel and Tower, Central Park West (New York City)","Hotel, condos and retail",38,0,38,21,Up,1,40.768277,-73.981455, | |
| "Trump World Tower, 845 United Natio |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """ | |
| A basic example using multiple processes | |
| We spawn 4 processes. Each process is made to draw N/4 random | |
| integers from 1 to 10, for some fixed large N. | |
| Then the processes adds up its list of numbers, passes it into a queue, | |
| and the main program adds up the subtotals to get a grand total. |
| # Instructions for Windows developers working on the Fling Unity Visualization Tool | |
| # 1. Install the latest version of Unity | |
| # 2. (NOT NEEDED) Install "SmartMerge" for Unity by following https://docs.unity3d.com/Manual/SmartMerge.html | |
| # 3. Install GitHub Desktop | |
| # 4. Install git-lfs | |
| # 5. Get a GitHub developer account | |
| # 6. Get invitated and accept the invitation to the fling-asia GitHub organization | |
| # 7. Clone the fling-unity repository to your computer via the GitHub desktop app | |
| # 8. Open the program in Unity |