| from cassandra.cluster import Cluster | |
| from cassandra.auth import PlainTextAuthProvider | |
| import pandas as pd | |
| def pandas_factory(colnames, rows): | |
| return pd.DataFrame(rows, columns=colnames) | |
| cluster = Cluster( | |
| contact_points=['127.0.0.1'], | |
| auth_provider = PlainTextAuthProvider(username='cassandra', password='cassandra') |
| #!/bin/sh | |
| jq -r 'def banner: "\(.) " + (28-(.|length))*"-"; | |
| ("Non-cell info" | banner), del(.cells), "", | |
| (.cells[] | ("\(.cell_type) cell" | banner), | |
| "\(.source|add)", | |
| if ($show_output == "1") then | |
| "", | |
| ( select(.cell_type=="code" and (.outputs|length)>0) | | |
| ("output" | banner), | |
| (.outputs[] | |
| # By Jake VanderPlas | |
| # License: BSD-style | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| def discrete_cmap(N, base_cmap=None): | |
| """Create an N-bin discrete colormap from the specified input map""" |
Copy nbflatten.py to somewhere on $PATH. Then, in the root of a git repository, run these commands:
echo "*.ipynb diff=ipynb" >> .gitattributes
git config diff.ipynb.textconv nbflatten.pyWhen you change a notebook and run git diff, you'll see the diff of flattened, simplified notebooks, rather than the full JSON. This does lose some information (metadata, non-text output), but it makes it easier to see simple changes in the notebook.
This doesn't help with merging conflicting changes in notebooks. For that, see nbdiff.org.
| program doptest | |
| implicit none | |
| double precision :: x | |
| double precision :: xend | |
| double precision, dimension(1) :: rtol | |
| double precision, dimension(1) :: atol | |
| double precision, dimension(6) :: y | |
| double precision, dimension(6) :: y1 |
So you managed to break Julia. Congratulations! Collected here are some general procedures you can undergo for common symptoms encountered when something goes awry. Including the information from these debugging steps can greatly help the maintainers when tracking down a segfault or trying to figure out why your script is running slower than expected.
If you've been directed to this page, find the symptom that best matches what you're experiencing and follow the instructions to generate the debugging information requested. Table of symptoms:
| all : laplace.so | |
| laplace.so : laplace.h laplace.c | |
| gcc -O3 -fopenmp -fPIC -c laplace.c | |
| gcc -O3 -fopenmp -fPIC -shared -o liblaplace.so laplace.o | |
| rm -f laplace.o | |
| clean: | |
| rm -f laplace.so |
| #!/usr/bin/env python | |
| # coding: utf-8 | |
| import argparse | |
| import os | |
| import sys | |
| import time | |
| import atexit | |
| import logging | |
| import signal |
