Download Jupyter Notebook Mac Os X
Latest version
- Jupylet is a Python library that lets you create and run games interactively. In a Jupyter notebook. It is intended for two types of audiences: Kids and their parents interested in learning to program, Researchers and students of deep reinforcement learning.
- You want to develop a Jupyter notebook or series of notebooks for uses such as supplementing teaching material, or for a scholarly journal article, for example. In both cases, you will want to start the Jupyter notebook in a specific folder. Starting a Jupyter Notebook in a Specific Folder. On Mac OS X, create a Desktop folder with the Finder.
- Windows Video Tutorial. Download the Git for Windows installer.; Run the installer and follow the steps bellow. Click on 'Next'. Click on 'Next'. Keep 'Use Git from the Windows Command Prompt' selected and click on 'Next'. If you forgot to do this programs that you need for the workshop will not work properly.
- Maybe this does not work at all, because its a Mac, but maybe there is a way to open a jupyter notebook on a Mac? I tried the following command jupyter notebook Manager.ipynb and I got an error.
Released:
A marriage of Jupyter and the pyglet game programming library
Redsn0w 0.9.15b3 for Mac is available as a free download on our application library. Our built-in antivirus scanned this Mac download and rated it as virus free. This free software for Mac OS X was originally designed by iPhone Dev Team. The program lies within System Tools, more precisely Plugins & Addons. Download redsn0w latest version for mac. Download links for the latest version of Redsn0w: Redsn0w 0.9.15 beta 3 Mac, Windows If you’re looking for a jailbreak for iOS 7.1, iOS 7.1.1 or iOS 7.1.2, then download Pangu jailbreak. A cross-platform jailbreaking, unlocking, and customizing tool for iPhones and iPod touches. Customizations include boot logos, recovery logos, and 'verbose'.
Project description
Every time you open Jupyter, you must select the mlcc environment. Install notebook within the mlcc environment, as shown here: Once notebook is installed, click Launch. This will open a web browser. Next, run the exercises. Install and Run Jupyter on Mac OS X. If you have not installed XCode, install it by running this command (this takes a. Install Anaconda and Jupyter Notebook. Open the Terminal by clicking on the Spotlight magnifying glass at the top right of the screen, typing “Terminal” then clicking the Terminal icon. Type the commands in red to go to the Downloads directory and download Anaconda3 2020.07. Anaconda may take a few minutes to download.
Jupylet is a Python library that lets you create and run games interactively
in a Jupyter notebook. It is intended for two types of audiences:
- Kids and their parents interested in learning to program,
- Researchers and students of deep reinforcement learning.
## TL;DR
Here are two examples of 2D and 3D games for the impatient. Their code is included in this repository:
<p float=”left”>
<img src=”https://raw.githubusercontent.com/nir/jupylet/master/docs/images/spaceship.gif” width=”256” />
<img src=”https://raw.githubusercontent.com/nir/jupylet/master/docs/images/spaceship-3d.jpg” width=”384” />
</p>
## Kids Learning to Program
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 built on top of pyglet, a powerful game programming library. It is
wonderfully easy to use for creating simple 2D games and Jupylet extends it to
3D gaming.
By marrying Jupyter and pyglet, Jupylet lets you have the best of both
worlds. Create games interactively and experimentally, change a variable or a
function and see how the game is affected immediately while it is running.
## Deep Reinforcement Learning with Jupylet
Jupylet makes it is super easy to create and modify environments in which to
experiment with deep reinforcement learning algorithms and it includes the code
required to programmatically control multiple simultaneous games and render
thousands of frames per second.
Consider for example the pong game included in this repository. With a few
lines of code you can modify the colors of the game or turn the background into
a swirling giant flower 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 fun.
Head to [examples/22-pong-RL.ipynb](https://github.com/nir/jupylet/blob/master/examples/22-pong-RL.ipynb) to see how to programmatically control and render a 2-player version of pong.
## Requirements
_jupylet_ should run on Python 3.4+ 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
Next, you need to download the jupylet repository since it contains the
example notebooks. If you have [Git](https://git-scm.com/) installed you
can use it to clone the jupylet repository with:
git clone https://github.com/nir/jupylet.git
Alternatively, if you don’t have Git installed, you can download and unzip
Free download connectify me. Download the latest version of Connectify Hotspot here! Whether at home, work, or on-the-go, Speedify is the only VPN that makes your online experiences.
the jupylet archive by typing:
python -m wget https://github.com/nir/jupylet/archive/master.zip
python -m zipfile -e jupylet-master.zip .
move jupylet-master jupylet
Download Jupyter Notebook Mac
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=”https://raw.githubusercontent.com/nir/jupylet/master/docs/images/spaceship.gif” width=”256” height=”256” />
You can run essentially the same code from the console with:
python spaceship.py
The only difference in the code is that the application object is instantiated with:
app = App(mode=’window’)
## Documentation
In terms of its interface _jupylet_ introduces only minor additions and modifications to the underlying pyglet library. Therefore the bulk of learning to use it is covered by the [pyglet documentation](https://pyglet.readthedocs.io/en/stable/). I have started writing a [guide](https://jupylet.readthedocs.io/en/latest/) and will add documentation in the comming days; in the mean time head to the [11-spaceship.ipynb](https://github.com/nir/jupylet/blob/master/examples/11-spaceship.ipynb) example to get started.
## Contact
For questions and feedback send an email to [Nir Aides](mailto:nir@winpdb.org).
Keywords: python,pyglet,jupyter,kids,games,children,deep learning,reinforcement learning,RLPlatform: UNKNOWNClassifier: Development Status :: 4 - BetaClassifier: Intended Audience :: EducationClassifier: Intended Audience :: DevelopersClassifier: Intended Audience :: Science/ResearchClassifier: Topic :: EducationClassifier: Topic :: Scientific/Engineering :: Artificial IntelligenceClassifier: License :: OSI Approved :: BSD LicenseClassifier: Programming Language :: Python :: 3Classifier: Programming Language :: Python :: 3.4Classifier: Programming Language :: Python :: 3.5Classifier: Programming Language :: Python :: 3.6Classifier: Programming Language :: Python :: 3.7Classifier: Programming Language :: Python :: 3.8Description-Content-Type: text/markdown
Project details
Release historyRelease notifications | RSS feed
0.7.0
0.6.6
0.6.5
0.6.4
0.6.3
0.6.2
Install Jupyter Notebook Osx
0.6.1
0.6.0
Download files
![Jupyter Jupyter](https://i0.wp.com/www.scatterplotpress.com/wp-content/uploads/2018/01/jupyter8-300x176.png?resize=735%2C431)
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size jupylet-0.7.0.tar.gz (35.2 kB) | File type Source | Python version None | Upload date | Hashes |
Download Jupyter Notebook
Hashes for jupylet-0.7.0.tar.gz
Download Jupiter Notebook Mac Os X 10.8
Algorithm | Hash digest |
---|---|
SHA256 | 305f56b3bad96630c8650e62638901fa9ff58fe06bcd6f5deb3c2ae4d0dcfa8b |
MD5 | 2ca6d1de9050ee2f605e8fa08f47f8bb |
BLAKE2-256 | c3a4b09e9a821c7b3bcd99b3714eaa9c4833b3cfec6b826661f5a8bfdcf3bbd9 |