Download Jupyter Notebook On Mac

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Python game programming in Jupyter notebooks.

  1. 🐍 In this Video I am going to show How to Down and install Anaconda (Python distribution) on your Mac OS X operating system. So what is Anaconda?
  2. So, Jupyter Lab is starting to get really interesting as a day-to-day replacement for standard Jupyter Notebooks and as a python competitor to R’s RStudio IDE.But, while a Jupyter Notebook with its multi-page interface feels right at home in the browser, I feel that as a single page application, Jupyter Lab would work better as a standalone desktop app without all the unwanted “chrome.
  3. Thank you for downloading jupyter notebook for Mac from our software portal. The version of jupyter notebook for Mac you are about to download is 4.2.3. This Mac program is distributed free of charge. The package you are about to download is authentic and was not repacked or modified in any way by us. The download was scanned for viruses by our.

Project description

🐍 In this Video I am going to show How to Down and install Anaconda (Python distribution) on your Mac OS X operating system. So what is Anaconda?

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.
Download Jupyter Notebook On Mac


<p float=”left”>

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

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


## 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

How to download jupyter notebook on mac

Jupylet makes it is super easy to create and modify environments in which to

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.

## 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](

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](

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

install options.

⚠️ NOTE On Mac OS X follow carefully the Miniconda [installation instructions]( |

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


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]( installed type the following

Jupyter Notebook Mac Os


git clone

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


copying-pasting the following commands into the console:

python -m wget

python -m zipfile -e .

move jupylet-master jupylet

⚠️ NOTE On Mac OS X or Linux type mv instead of move in the command above. |

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


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:


## Documentation

Install Jupyter Notebook On Mac

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]( If you like Jupylet, one of the best ways to contribute to this project is to help to document it.

## Contact


Jupyter Notebook Free Download

For questions and feedback send an email to [Nir Aides](

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

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