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@jfpuget
jfpuget / LU_decomposition.ipynb
Created January 27, 2016 18:51
A Speed Comparison Of C, Julia, Python, Numba, and Cython on LU Factorization
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@jeffweiss
jeffweiss / eldap.exs
Created November 9, 2015 19:30
sample of using eldap from elixir
:application.ensure_all_started(:ssl)
{:ok, handle} = :eldap.open(['ldap.example.com'], [{:port, 636}, {:ssl, true}])
authenticated =
:ok == :eldap.simple_bind(handle,
'uid=jeff,ou=users,dc=example,dc=com',
'notmyrealpassword')
{:ok, {:eldap_search_result, list_of_entries, _}} =
@rrag
rrag / README.md
Last active March 19, 2024 16:11
Yet another tutorial and Cheat sheet to Functional programming

There are many tutorials and articles available online which explain functional programming. Examples show small functions, which are composed into others which again get composed. It is hard to imagine how it would all work, then come the analogies and then the math. While the math is necessary to understand it can be difficult to grasp initially. The analogies on the other hand, (at least for me) are not relatable. Some articles assume the reader knows the different terminologies of FP. Over all I felt it is not inviting to learn.

This introduction is for those who have had a tough time understanding those analogies, taken the plunge to functional programming but still have not been able to swim. This is yet another tutorial on functional programming

Terminology

Functions as first class citizens

Functions are first class means they are just like anyone else, or rather they are not special, they behave the same as say primitives or strings or objects.

@zabirauf
zabirauf / expng.ex
Created July 23, 2015 08:32
PNG format Parser in Elixir
defmodule Expng do
defstruct [:width, :height, :bit_depth, :color_type, :compression, :filter, :interlace, :chunks]
def png_parse(<<
0x89, 0x50, 0x4E, 0x47, 0x0D, 0x0A, 0x1A, 0x0A,
_length :: size(32),
"IHDR",
width :: size(32),
height :: size(32),
@djo
djo / run.sh
Last active January 27, 2020 04:35
Handling of UNIX-signals in Erlang/Elixir is not supported, this script provides start-stop management with handling TERM signal for Docker installation.
#!/usr/bin/env bash
set -x
term_handler() {
echo "Stopping the server process with PID $PID"
erl -noshell -name "[email protected]" -eval "rpc:call('[email protected]', init, stop, [])" -s init stop
echo "Stopped"
}
trap 'term_handler' TERM INT
@jpadilla
jpadilla / usage.py
Last active March 19, 2020 15:46
Custom MethodFilter for django-filter
from django import forms
from django_filters import filters
filters.LOOKUP_TYPES = [
('', '---------'),
('exact', 'Is equal to'),
('not_exact', 'Is not equal to'),
('lt', 'Lesser than'),
('gt', 'Greater than'),
@andreasWallner
andreasWallner / logging.md
Last active April 24, 2023 05:29
a few notes about logging in python

Python Logging

notes about logging in python. Put together from reading the logging module source, PEP 282, the official documentation, as well as the blog entries mentioned in References.

Its just intended to collect some notes in one place...so it will (most likely) never comprehensive.

Basic Usage

@kwatch
kwatch / gist:02b1a5a8899b67df2623
Last active September 14, 2024 13:52
Example to support 'geometry' type (on PostgreSQL) in SQLAlchemy
from sqlalchemy import func
from sqlalchemy.types import UserDefinedType, Float
class EasyGeometry(UserDefinedType):
def get_col_spec(self):
return "GEOMETRY"
def bind_expression(self, bindvalue):
@tsiege
tsiege / The Technical Interview Cheat Sheet.md
Last active April 26, 2025 08:09
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

@bshyong
bshyong / python_bst.py
Last active March 11, 2021 23:09
Python BST implementation
class BSTnode(object):
"""
Representation of a node in a binary search tree.
Has a left child, right child, and key value, and stores its subtree size.
"""
def __init__(self, parent, t):
"""Create a new leaf with key t."""
self.key = t
self.parent = parent
self.left = None