ipython-in-depth | depth Tutorial | GPU library

by ipython Jupyter Notebook Version: pycon-2015 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | ipython-in-depth Summary

ipython-in-depth is a Jupyter Notebook library typically used in Hardware, GPU, Jupyter applications. ipython-in-depth has no bugs, it has no vulnerabilities and it has medium support. However ipython-in-depth has a Non-SPDX License. You can download it from GitHub.

IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012

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Support

ipython-in-depth has a medium active ecosystem.

It has 926 star(s) with 779 fork(s). There are 99 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 14 have been closed. On average issues are closed in 346 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ipython-in-depth is pycon-2015

Quality

ipython-in-depth has 0 bugs and 0 code smells.

Security

ipython-in-depth has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ipython-in-depth code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ipython-in-depth has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ipython-in-depth releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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ipython-in-depth Key Features

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ipython-in-depth Examples and Code Snippets

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Community Discussions

Trending Discussions on ipython-in-depth

Audio widget within Jupyter notebook is **not** playing. How can I get the widget to play the audio?

zsh:1: parse error near `}' following the Jupiter IPython tutorial

QUESTION

Audio widget within Jupyter notebook is **not** playing. How can I get the widget to play the audio?

Asked 2022-Mar-15 at 00:07

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 00:07

Apologies 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

Source https://stackoverflow.com/questions/71200390

QUESTION

zsh:1: parse error near `}' following the Jupiter IPython tutorial

Asked 2021-Jun-11 at 07:59

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 07:59

Add import os and restart the jupyter server.

Source https://stackoverflow.com/questions/67897425

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ipython-in-depth

Please read the following section and install the required software ahead of time. We may ask you to update versions of the software more closely to the tutorial date. Please do not rely on cloud hosting to follow this tutorial, as the network connection may be unreliable. If possible, come to the tutorial with a computer where you have administrative privileges. For this tutorial, we are standardizing on a conda-based python distribution (miniconda or Anaconda). We may not be able to help with installation issues if you are using a different python distribution.
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