ipython-in-depth | depth Tutorial | GPU library
kandi X-RAY | ipython-in-depth Summary
kandi X-RAY | ipython-in-depth Summary
IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ipython-in-depth
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ipython-in-depth Examples and Code Snippets
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Trending Discussions on ipython-in-depth
QUESTION
I writing my code within a Jupyter notebook in VS Code. I am hoping to play some of the audio within my data set. However, when I execute the cell, the console reports no errors, produces the widget, but the widget displays 0:00 / 0:00 (see below), indicating there is no sound to play.
Below, I have listed two ways to reproduce the error.
- I have acquired data from the hub data store. Looking specifically at the spoken MNIST data set, I cannot get the data from the
audio
tensor to play
ANSWER
Answered 2022-Mar-15 at 00:07Apologies for the late reply! In the future, please tag the questions with activeloop so it's easier to sort through (or hit us up directly in community slack -> slack.activeloop.ai).
Regarding the Free Spoken Digit Dataset, I managed to track the error with your usage of activeloop hub and audio display.
adding [:,0] to 9th line will help fixing display on Colab as Audio expects one-dimensional data
QUESTION
I follow the Jupyter tutorial - IPython - beyond plain python, which can be redirected from here, got to the Accessing the underlying operating system section. Wrote the code below and got the error written in the title. That's the problem with "{os.path.splitext(f)[0]}"
, how to fix it?
ANSWER
Answered 2021-Jun-11 at 07:59Add import os
and restart the jupyter server.
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Install ipython-in-depth
Install either the full anaconda distribution (very large, includes lots of conda packages by default) or miniconda (much smaller, with only essential packages by default, but any conda package can be installed). To get the tutorial materials, clone this repository. Please plan to update the materials shortly before the tutorial.
Install either the full anaconda distribution (very large, includes lots of conda packages by default) or miniconda (much smaller, with only essential packages by default, but any conda package can be installed).
To get the tutorial materials, clone this repository. Please plan to update the materials shortly before the tutorial. git clone https://github.com/ipython/ipython-in-depth To update the materials: cd ipython-in-depth git pull Feel free to open an issue or send a pull request to update these materials if things are unclear.
Set up your environment. Create a conda environment: conda create -n pycon2019 -c conda-forge --yes python=3.7 pip cookiecutter=1.6 'notebook=5.7' pandas=0.24 nodejs=9.11 jupyterlab bqplot ipyvolume pythreejs aiohttp line_profiler matplotlib rpy2 simplegeneric trio cython pillow (You could instead create the environment from the supplied environment file with conda env create -f pycon2019-jupyterlab-tutorial/environment.yml) Activate the conda environment: conda activate pycon2019 Install extra JupyterLab extensions: jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-threejs ipyvolume bqplot @jupyterlab/geojson-extension @jupyterlab/fasta-extension
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