| import requests | |
| import pandas as pd | |
| from datetime import datetime, timedelta | |
| # API Key and URL | |
| API_KEY = 'GET_YOUR_OWN' | |
| url = "https://api.marketstack.com/v1/eod" | |
| # Calculate date range (last 30 days) | |
| today = datetime.today().strftime('%Y-%m-%d') |
These resources (articles, books, and videos) are useful when you're starting to learn the language, or when you're learning a specific part of the language. This an opinionated list, no doubt. I've compiled this list from writing and teaching Clojure over the last 10 years.
| # This example shows one way to access subsets of CEDEN data via the California Open Data Portal API (it's not | |
| # necessarily the only or best way though) - if you find any problems or have questions, please contact: david.altare@waterboards.ca.gov | |
| # This example applies to the following CEDEN datasets, which have been split into separate | |
| # resources by year (due to file size limitations) | |
| # Water Chemistry: https://data.ca.gov/dataset/surface-water-chemistry-results | |
| # Habitat: https://data.ca.gov/dataset/surface-water-habitat-results | |
| # Tissue: https://data.ca.gov/dataset/surface-water-aquatic-organism-tissue-sample-results | |
| # It assumes that you have your own API key saved in a system environment variable |
| # This example shows how to work with CEDEN data in the Apache parquet file format, using the arrow package in R | |
| # The data (in parquet file format) for each type of CEDEN data is available on the California Open Data Portal at the | |
| # following links: | |
| # Water Chemistry: https://data.ca.gov/dataset/surface-water-chemistry-results/resource/f4aa224d-4a59-403d-aad8-187955aa2e38 | |
| # Habitat: https://data.ca.gov/dataset/surface-water-habitat-results/resource/0184c4d0-1e1d-4a33-92ad-e967b5491274 | |
| # Tissue: https://data.ca.gov/dataset/surface-water-aquatic-organism-tissue-sample-results/resource/dea5e450-4196-4a8a-afbb-e5eb89119516 | |
| # Toxicity: https://data.ca.gov/dataset/surface-water-toxicity-results/resource/a6c91662-d324-43c2-8166-a94dddd22982 | |
| # Benthic Macroinvertebrates: https://data.ca.gov/dataset/surface-water-benthic-macroinvertebrate-results/resource/eb61f9a1-b1c6-4840-99c7-420a2c494a43 | |
| # load packages |
Installation of Tensorflow2 with GPU support is easy and the only complication can be arisen from the CUDA compability which in turns depends on the Nvidia driver version. Before going farther, please check if your Nvidia Video Card is compatible with the required versions that are defined in this gist, use this link.
Tensorflow offers in its website a table of the compatibility between libraries for the target OS. You can visit that website in the following COMPATIBILITY TABLE that points to the Tensorflow installation from source for linux. For the time writing this gist, Tensorflow2 v2.17.0 requires CUDA v12.3 and CUDNN v8.9. As CUDA v12.6 gives support for Ubuntu 24.04, I've replaced CUDA v12.3 with CUDA v12.6, but maintaining CUDNN v8.9. It is really important to match the exact version of CUDNN, otherwise tensorflow will have proble
| Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
| ActivityTweet | |
| generic_activity_highlights | |
| generic_activity_momentsbreaking | |
| RankedOrganicTweet | |
| suggest_activity | |
| suggest_activity_feed | |
| suggest_activity_highlights | |
| suggest_activity_tweet |
The kernel lets you run code in a particular programming language using one of the Jupyter tools, such as the Notebook, Jupyterlab or nteract. Installing additional kernels will let you run code in more languages using your existing jupyter installation.
Technically, the kernel is an application which speaks the Jupyter Messaging Protocol, to receive code input from the frontend and respond with the results.
In the Notebook or JupyterLab, the list of available kernels will be shown when trying to create a new notebook.
| #!/usr/bin/env python | |
| # install imagesize: pip install imagesize pyyaml | |
| __author__ = 'Olivier Pieters' | |
| __author_email__ = 'me@olivierpieters.be' | |
| __license__ = 'BSD-3-Clause' | |
| import yaml, imagesize | |
| from os import listdir, rename |