tonigi

tonigi

import pandas as pd

dl = []
d={}
with open("J_Medline.txt","r") as f:
    for l in f:
        l = l.strip()
        if "----" in l:
            dl.append(pd.Series(d))
            d={}

tonigi

Toni: I see two ways to distribute the software:

1. Semi-manual install using Vagrant. Draft instructions are below, based on Ismael's. All the relevant repositories must be made publicly-readable.

2. Alternatively, distribute a self-contained, pre-ready "Vagrant Box". The latter should be easy and stable (doesn't depend on external downloads disappearing) but I have not tried it yet. There shouldn't be software license problems

Neither of the two works right now, because of some missing initialization.

GPCRmd: Local installation instructions

tonigi

Unofficial workaround to use HTMD on OSX

(Current as of Aug 2019)

Installation

1. Clone the official HTMD repository.

git clone https://github.com/Acellera/htmd

tonigi

#!/usr/bin/env python3
# Replaces xxd -i for systems without it (e.g. conda). Only stdin.

import sys
import textwrap

data=sys.stdin.buffer.read()

#xdata=", ".join([hex(x) for x in data])
xdata=", ".join([f'0x{y:02x}' for y in data])

tonigi

/* 
 * Test autodifferentiation of a function computed via an iterative
 * algorithm (Newton's method). 
 */


#include <cmath>
#include <stan/math/rev/mat.hpp>
#include <time.h>

tonigi

tonigi

Using Fedora's ipopt



../configure --prefix=$HOME/Apps/jmodelica --with-ipopt=/usr --with-eclipse=$HOME/Apps/eclipse
make


export SUNDIALS_HOME=/home/toni/compile/JModelica.org/build/sundials_install
export JAVA_HOME=/usr/java/latest/

tonigi

Note VQR

Summary

In prima approssimazione, si tratta di scegliere articoli usciti su riviste buone ma che abbiano contemporaneamente un buon numero di citazioni, dove la definizione di buon dipende dai parametri di cui sotto. Se il numero di citazioni ("valutazione bibliometrica") è

tonigi

Installation of VMD plugins

These are common instructions for my VMD plugins.

Before you begin. Download the latest release and extract it in a directory of your choice.

Quick-and-dirty, no-installation method