- A Jupyter notebook is a combination of code and results. The results are often binary blobs (like png images), and unsuitale for storing in a version control system like Subversion of Git. By converting Notebook scripts to pure Python code, the essence of the notebook may be stored in a version control system, without archiving any of the results.
- Locate Anaconda. The first step you need to do is to locate the path of Anaconda. You will create a.
Jupyter Notebooks 1.0 for Mac is free to download from our software library. This Mac download was scanned by our antivirus and was rated as virus free. The application lies within Developer Tools, more precisely DB Tools. The actual developer of this free Mac application is Project Jupyter.
Let’s first understand what are Anaconda and Jupyter Notebook.
What is Anaconda
Anaconda is a distribution software which is used to install Python. A distribution software is a bundle of many packages. In Anaconda distribution, Python and many packages come pre-loaded.
Anaconda has the following key components:
- Conda – package manager(a program to update and install various packages)
- Python language
- Various packages (Eg. pandas, numpy)
- Integrated Development Environment(IDE) – To write and execute the code(e.g. Jupyter, Spyder)
What is Jupyter Notebook
Jupyter notebook is the most used Python IDE by Data Scientists to code in Python. This is a browser-based IDE, that means you don’t need to open it in some application. Once you start a jupyter server(it’s a program which we will explain later), a notebook will open in your internet browser. So, all we need to do is install Anaconda and then start the jupyter server. Jupyter notebook looks like this in the browser:
Linux & Mac come with Python already installed nowadays. To know if Python is already installed in your system, go to command line/Terminal and type python and hit enter. If you see some version of Python, it means python is already installed in your system. However, we strongly recommend that you install Anaconda and use its Python for this course.
Anaconda installation for different Operating Systems
Windows
- First of all, download Anaconda from the official page and install the latest version(Python 3.* )here
- Now, install anaconda following the steps mentioned: Here
- After successful installation, open command line(command prompt) by typing cmd in Search/Run in your windows.
- Type ‘Jupyter Notebook’ in the command line which will open Jupyter Notebook in your browser with URL ‘http://localhost:8888’. 8888 is port number. If you want to start the server on some other port, then type ‘jupyter notebook –port 9999
We will illustrate the windows installation process using the screenshots below.
Mac
- First of all, download Anaconda from the official page and install the latest version(Python 3.* )here
- Now, install anaconda following the steps mentioned: Here
- After successful installation, open command line(Terminal)
- Type ‘Jupyter Notebook’ in the command line which will open Jupyter Notebook in your browser with URL ‘http://localhost:8888’. 8888 is port number. If you want to start the server on some other port, then type ‘jupyter notebook –port 9999
Linux
- First of all, download Anaconda from the official page and install the latest version(Python 3.* )here
- Now, install anaconda following the steps mentioned: Here
- After successful installation, open command line(Terminal)
- Type ‘Jupyter Notebook’ in the command line which will open Jupyter Notebook in your browser with URL ‘http://localhost:8888’. 8888 is port number. If you want to start the server on some other port, then type ‘jupyter notebook –port 9999
Anaconda installation process on Windows
Step 1
Open your web browser and go to https://www.anaconda.com/download. Click on the Windows icon.
Step 2
Next page will show you two Python options, as below. There are two Python version – Python 2 & Python 3. There is no much difference in terms of efficiency or the tasks you can get done using any of them. But, for this course, we will be using Python 3. At the time of creating this chapter, Python 3.6 is the latest version.
Now, choose the 32 or 64-bit option as below. Most of the computers are 64-bit these days. You can check your System type by right clicking on This PC or My Computer.
Step 3
Anaconda will start downloading on your computer. As it’s a big file, it will take some time to download depending upon your internet speed.
Step 4
Now, double click on the downloaded Anaconda file and Click on Next on the popped up window.
Step 5
Click on I Agree
Step 6
Download Jupyter Notebook For Mac
Let just me (Recommended) option remain selected and click on Next.
Step 7
Now, it will ask for the location to install the Anaconda. Let the default location be there and click on Next.
Step 8
Select Register Anaconda as my default Python 3.6 and click on Install
Step 9
The installation will start.
Step 10
This will take some time to complete
Step 11
Next button will be enabled once it’s complete. Click on Next button.
Step 12
This window is asking if you want to install Microsoft Visual Studio Code editor to write code. We will not be using this for writing code. Click on Skip button.
Step 13
Uncheck both checked options and click on Finish button, and your Anaconda installation is complete.
Step 14
Now, let’s access Anaconda Prompt. Go to Search/Run and type Anaconda Prompt and hit enter.
Step 15
A black window like below will open. This is Anaconda Prompt.
Step 16
We will now start jupyter notebook from anaconda prompt. Just type jupyter notebook and hit enter.
Step 17
Jupyter notebook will open in your web browser automatically.
CONGRATULATIONS ? You are doing great. We are excited. Let’s come to coding straight without wasting any more time.
Latest version 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
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](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.
⚠️ NOTE On Mac OS X follow carefully the Miniconda [installation instructions](https://conda.io/projects/conda/en/latest/user-guide/install/macos.html). |
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
⚠️ 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
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
Jupyter Notebook On Mac
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