Skip to content

Instantly share code, notes, and snippets.

View dsevero's full-sized avatar
🎲

Daniel Severo dsevero

🎲
View GitHub Profile
@dsevero
dsevero / Persisting lru_cache to disk while using hashable pandas objects for parallel experiments.ipynb
Last active March 28, 2024 20:32
Persisting lru_cache to disk while using hashable pandas objects for parallel experiments
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
import pandas as pd
from hashlib import sha256
from pandas.util import hash_pandas_object
from functools import lru_cache
class HashableDataFrame(pd.DataFrame):
def __init__(self, obj):
super().__init__(obj)
@akrylysov
akrylysov / asyncio_producer_consumer.py
Last active January 10, 2023 17:04
Python 3 asyncio basic producer / consumer example
import asyncio
import random
q = asyncio.Queue()
async def producer(num):
while True:
await q.put(num + random.random())
await asyncio.sleep(random.random())
/* VT100 terminal reset (<ESC>c) */
console.log('\033c');
/* numbers comparations */
> '2' == 2
true
> '2' === 2
@sloria
sloria / bobp-python.md
Last active May 9, 2024 01:42
A "Best of the Best Practices" (BOBP) guide to developing in Python.

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

  • "Build tools for others that you want to be built for you." - Kenneth Reitz
  • "Simplicity is alway better than functionality." - Pieter Hintjens
@agramfort
agramfort / ranking.py
Created March 18, 2012 13:10 — forked from fabianp/ranking.py
Pairwise ranking using scikit-learn LinearSVC
"""
Implementation of pairwise ranking using scikit-learn LinearSVC
Reference: "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich,
T. Graepel, K. Obermayer.
Authors: Fabian Pedregosa <fabian@fseoane.net>
Alexandre Gramfort <alexandre.gramfort@inria.fr>
"""
@fabianp
fabianp / ranking.py
Last active February 1, 2024 10:02
Pairwise ranking using scikit-learn LinearSVC
"""
Implementation of pairwise ranking using scikit-learn LinearSVC
Reference:
"Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich,
T. Graepel, K. Obermayer 1999
"Learning to rank from medical imaging data." Pedregosa, Fabian, et al.,
Machine Learning in Medical Imaging 2012.
@ghoseb
ghoseb / ns-cheatsheet.clj
Last active April 11, 2024 05:28 — forked from alandipert/ns-cheatsheet.clj
Clojure ns syntax cheat-sheet
;;
;; NS CHEATSHEET
;;
;; * :require makes functions available with a namespace prefix
;; and optionally can refer functions to the current ns.
;;
;; * :import refers Java classes to the current namespace.
;;
;; * :refer-clojure affects availability of built-in (clojure.core)
;; functions.