dsevero

'''
This file is heavily inspired by https://github.com/j-towns/ans-notes/blob/master/rans.py

We describe a variant of bits-back coding called BB-Huffman. This file is meant
purely as an educational tool and is in no way optimized. The goals are to

1. illustrate how bits-back coding can be used with Huffman-like codecs;
2. and how the cost of using a selector to toggle between codebooks can be greatly reduced.

- Symbols are integers between 0 and 2;

dsevero

dsevero

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

import asyncio
import random

q = asyncio.Queue()


async def producer(num):
    while True:
        await q.put(num + random.random())
        await asyncio.sleep(random.random())

MichalZalecki

/* VT100 terminal reset (<ESC>c) */

console.log('\033c');

/* numbers comparations */

> '2' == 2
true

> '2' === 2

sloria

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

"""
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 <[email protected]>
         Alexandre Gramfort <[email protected]>
"""

fabianp

"""
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

;;
;; 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.