Download Jupyter Notebook On Mac

• Jupyter Macos
• Download Jupyter Notebook For Python

After completing Jupyter notebook assignments in a Coursera course, you can download your jupyter notebooks and all other files in the workspace so you can run them locally once the course ends. The.ipynb format is created by jupyterlab or jupyter notebook, so it can be used from a browser with Python+jupyter installed, regardless of windows or mac. – r-beginners May 9 at 10:22 2 If you have jupyter installed then you can do jupyter notebook myFile.ipynb from the terminal. A Jupyter notebook exploring data coverage, size, and customization service availability along with direct data download utilizing the NSIDC DAAC's Data Access and Service API. If you are new to Jupyter Notebooks, you can read the documentation, or you can walk through the user interface tour once you have loaded the notebook by selecting Help. If you’re a data scientist or developer and upgraded to macOS Catalina 10.15, then you might have faced some issues with the jupyter notebook. The latest version of Mac Catalina functionality is.

Released:

Python game programming in Jupyter notebooks.

Project description

Jupylet is a Python library that lets you create 2D and 3D games, graphics,

music and sound synthesizers, interactively in a Jupyter notebook. It is

intended for three types of audiences:

• Computer scientists, researchers, and students of deep reinforcement learning.
• Musicians interested in sound synthesis and live music coding.
• Kids and their parents interested in learning to program.

 

<p float=”left”>

<img src=”docs/images/spaceship.gif” width=”256” />

<img src=”docs/images/spaceship_3d.gif” width=”384” />

</p>

## Jupylet for Kids

A Jupyter notebook is in essence a laboratory for programming. It is the ideal

environment for playing around with code, experimenting, and exploring ideas.

It is used by professional machine learning scientists who come every day to

play at work, so why not by kids?

Jupylet is wonderfully easy to use for creating simple 2D and 3D games and

music interactively and experimentally. Change a variable or a function and

see how the game is affected immediately while running.

## Jupylet for Deep Reinforcement Learning

Jupylet makes it is super easy to create and modify environments in which to Adobe photoshop elements 10 software download.

experiment with deep reinforcement learning algorithms and it includes the API

to programmatically control multiple simultaneous games and render thousands

of frames per second.

Consider for example the pong game included in this code base. With a few

lines of code you can modify the colors of the game to experiment with transfer

learning, or turn the game into 4-way pong with agents on all four sides of the

game court to experiment with cooperation between multiple agents. And since you

can modify the game interactively in Jupyter this process is not only easy but

also fun.

Head to [examples/22-pong-RL.ipynb](examples/22-pong-RL.ipynb) to see how to programmatically control a 2-player version of pong.

Adobe flash player update mac. ## Jupylet for Musicians

Jupylet imports ideas and methods from machine learning into the domain

of sound synthesis to easily let you create sound synthesizers as wild as you

can dream up - it includes impulse response reverb effects, colored noise

generators, resonant filters with cutoff frequency sweeping, oscillators with

LFO modulation, multi sampled instruments, and much more… And all of it in

pure Python for you to modify and experiment with.

In addition Jupylet draws inspiration from the wonderful [Sonic Pi](https://sonic-pi.net/)

and brings live loops and live music coding to Jupyter and Python. Hook up

your MIDI keyboard and take off.

See [examples/14-piano.ipynb](examples/14-piano.ipynb) for a basic demo.

## Requirements

_jupylet_ should run on Python 3.6+ on Windows, Mac, and Linux.

## How to Install and Run Jupylet

If you are new to Python, I strongly recommend that you install and use the

[Miniconda Python](https://docs.conda.io/en/latest/miniconda.html)

distribution. Download and run the 64-bit installer and stick to the default

install options.

Once Miniconda is installed start a Miniconda Prompt. To do this on Windows

click the ⊞ Winkey then type Miniconda and press the

Enter key. This should open a small dark window that programmers

call console or shell in which you can enter commands and run programs.

To run jupylet first install it by typing the following command in the

console:

pip install jupylet

To install it with MIDI support type the following command instead:

pip install jupylet[midi]

If you are using Python 3.8 on Windows you also need to run following command:

python -m jupylet postinstall

Next, if you want to run the example notebooks, download the jupylet code

base. If you have [Git](https://git-scm.com/) installed type the following

command:

git clone https://github.com/nir/jupylet.git

Alternatively, you can download and unzip the jupylet code base by

copying-pasting the following commands into the console:

python -m wget https://github.com/nir/jupylet/archive/master.zip

python -m zipfile -e jupylet-master.zip .

move jupylet-master jupylet

Next, enter the jupylet/examples/ directory with the change directory

command:

cd jupylet/examples/

And start a jupyter notebook with:

jupyter notebook 11-spaceship.ipynb

Run the notebook by following the instructions in the notebook and a game

canvas should appear with the spaceship example:

<img src=”docs/images/spaceship.gif” width=”256” height=”256” />

Alternatively, you can run the same game as a Python script from the console with:

python spaceship.py

## Documentation

At the moment the bulk of Jupylet’s documentation is to be found in the [example notebooks](examples/). Head to [examples/01-hello-world.ipynb](examples/01-hello-world.ipynb) to get started.

I have started writing a [guide](https://jupylet.readthedocs.io/en/latest/). If you like Jupylet, one of the best ways to contribute to this project is to help to document it.

## Contact

For questions and feedback send an email to [Nir Aides](mailto:nir@winpdb.org).

Keywords: reinforcement learning,deep learning,synthesizers,moderngl,children,jupyter,python,games,midi,kids,RLPlatform: UNKNOWNClassifier: Development Status :: 4 - BetaClassifier: Intended Audience :: EducationClassifier: Intended Audience :: DevelopersClassifier: Intended Audience :: Science/ResearchClassifier: Topic :: EducationClassifier: Topic :: Multimedia :: GraphicsClassifier: Topic :: Multimedia :: Graphics :: 3D RenderingClassifier: Topic :: Multimedia :: Sound/AudioClassifier: Topic :: Multimedia :: Sound/Audio :: MIDIClassifier: Topic :: Multimedia :: Sound/Audio :: Sound SynthesisClassifier: Topic :: Scientific/Engineering :: Artificial IntelligenceClassifier: License :: OSI Approved :: BSD LicenseClassifier: Programming Language :: Python :: 3.6Classifier: Programming Language :: Python :: 3.7Classifier: Programming Language :: Python :: 3.8Description-Content-Type: text/markdownProvides-Extra: midi

Project details

Jupyter Macos

Download Jupyter Notebook For Python

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