bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

marcelom

#!/usr/bin/env python

## Tiny Syslog Server in Python.
##
## This is a tiny syslog server that is able to receive UDP based syslog
## entries on a specified port and save them to a file.
## That's it... it does nothing else...
## There are a few configuration parameters.

LOG_FILE = 'youlogfile.log'

bkaradzic

Orthodox C++

What is Orthodox C++?

Orthodox C++ (sometimes referred as C+) is minimal subset of C++ that improves C, but avoids all unnecessary things from so called Modern C++. It's exactly opposite of what Modern C++ suppose to be.

Why not Modern C++?

dpino

#!/usr/bin/env bash

# set -x

if [[ $EUID -ne 0 ]]; then
    echo "You must be root to run this script"
    exit 1
fi

# Returns all available interfaces, except "lo" and "veth*".

typehorror

Flask-SQLAlchemy Caching

The following gist is an extract of the article Flask-SQLAlchemy Caching. It allows automated simple cache query and invalidation of cache relations through event among other features.

Usage

retrieve one object

# pulling one User object

user = User.query.get(1)

mangecoeur

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor:

gregvish

from socket import socket, SO_REUSEADDR, SOL_SOCKET
from asyncio import Task, coroutine, get_event_loop

class Peer(object):
    def __init__(self, server, sock, name):
        self.loop = server.loop
        self.name = name
        self._sock = sock
        self._server = server
        Task(self._peer_handler())

gingerBill

////////////////////////////////////////////////////////////////
//
// Defer statement
//     - Akin to D's SCOPE_EXIT or similar to Go's defer but scope-based
//
////////////////////////////////////////////////////////////////
#if defined(__cplusplus)
extern "C++" {
	// NOTE(bill): Stupid fucking templates
	template <typename T> struct gbRemove_Reference       { typedef T Type; };

jgomezdans

#!/usr/bin/env python
"""
Some Hessian codes
"""
import numpy as np
from scipy.optimize import approx_fprime


def hessian ( x0, epsilon=1.e-5, linear_approx=False, *args ):
    """

nicksam112

#Evolution Strategies with Keras
#Based off of: https://blog.openai.com/evolution-strategies/
#Implementation by: Nicholas Samoray

#README
#Meant to be run on a single machine
#APPLY_BIAS is currently not working, keep to False
#Solves Cartpole as-is in about 50 episodes
#Solves BipedalWalker-v2 in about 1000