| (base) ➜ ~ mkvirtualenv -p python3 smurff | |
| created virtual environment CPython3.7.7.final.0-64 in 472ms | |
| creator CPython3Posix(dest=/Users/suchow/.virtualenvs/smurff, clear=False, global=False) | |
| seeder FromAppData(download=False, pip=latest, setuptools=latest, wheel=latest, via=copy, app_data_dir=/Users/suchow/Library/Application Support/virtualenv/seed-app-data/v1.0.1) | |
| activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator | |
| virtualenvwrapper.user_scripts creating /Users/suchow/.virtualenvs/smurff/bin/predeactivate | |
| virtualenvwrapper.user_scripts creating /Users/suchow/.virtualenvs/smurff/bin/postdeactivate | |
| virtualenvwrapper.user_scripts creating /Users/suchow/.virtualenvs/smurff/bin/preactivate | |
| virtualenvwrapper.user_scripts creating /Users/suchow/.virtualenvs/smurff/bin/postactivate | |
| virtualenvwrapper.user_scripts creating /Users/suchow/.virtualenvs/smurff/bin/get_env_details |
Complete the following checklist.
| import textacy | |
| import textacy.datasets | |
| cw = textacy.datasets.SupremeCourt() | |
| cw.download() | |
| records = cw.records() | |
| txt_strm, meta_strm = textacy.fileio.split_record_fields(records, 'text') | |
| corpus = textacy.Corpus(u'en', texts=txt_strm, metadatas=meta_strm) | |
| vectorizer = textacy.Vectorizer( |
| """Reproducible multiprocessing. | |
| Output: [0.6320908733609572, 0.6407083081891108, 0.19120526615722777, ... | |
| """ | |
| import multiprocessing as mp | |
| import random | |
| random.seed(1) |
| # Proselint | |
| Writing is notoriously hard, even for the best writers. Yet there is a tremendous amount of knowledge about the discipline strewn across usage guides, dictionaries, technical manuals, essays, pamphlets, websites, and the hearts and minds of great authors and editors. But poring over Strunk & White hardly makes one a better writer — it turns you into neither Strunk nor White. And nobody has the capacity to apply all the advice from Garner’s Modern American Usage, a 975-page usage guide, to everything they write. In fact, the whole notion that one becomes a better writer by reading advice on writing rests on untenable assumptions about learning and memory. The traditional formats of knowledge about writing are thus essentially inert, waiting to be transformed. | |
| We devised a simple solution: proselint, a linter for prose. (A linter is a computer program that, like a spell checker, scans through a document and analyzes it.) | |
| Proselint places the world's greatest writers and editors by your side, where |
| import os | |
| import shelve | |
| import functools | |
| import inspect | |
| def memoize(f): | |
| """Cache results of computations on disk.""" | |
| path_of_this_file = os.path.dirname(os.path.realpath(__file__)) | |
| cache_dirname = os.path.join(path_of_this_file, "cache") |
| ❯ sudo ipfw -f flush | |
| Flushed all rules. | |
| ~ | |
| ❯ sudo ipfw add allow tcp from me to 54.209.68.168 | |
| 00100 allow tcp from me to 54.209.68.168 | |
| ~ | |
| ❯ sudo ipfw add deny tcp from any to any | |
| 00200 deny tcp from any to any |
| % Makes multiple sets of objects built out of gabors, with the special | |
| % property that the gabors are shared across alphabets, such that each set | |
| % has the same feature statistics. | |
| % | |
| % Example usage: | |
| % [imgs,letterStrings] = makeObjectSets() | |
| % | |
| function [imgs,objectStrings] = makeObjectSets | |
| % preferences |
| % fizzbuzz in MATLAB | |
| for i = 1:100 | |
| if(mod(i,3) && mod(i,5)) | |
| fprintf('%i\n', i); | |
| else | |
| if(~mod(i,3)) | |
| fprintf('fizz'); | |
| end | |
| if(~mod(i,5)) | |
| fprintf('buzz'); |