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Step 1 – Download and Install Anaconda
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Download Mac OS X 64-bit/32-bit x86-64/i386 Installer; Python 2.6.9 - Oct. No files for this release. Python 3.2.5 - May 15, 2013. Download Mac OS X 32-bit.
Installing Pytorch with Cuda on a 2012 Macbook Pro Retina 15. The best laptop ever produced was the 2012-2014 Macbook Pro Retina with 15 inch display. It has a Cuda-capable GPU, the NVIDIA GeForce GT 650M. This GPU has 384 cores and 1 GB of VRAM, and is cuda capability 3. How long does it take to download Anaconda Python? I’ve been waiting for over two hours now. I have a MacBook Pro. Log in or sign up to leave a comment Log In Sign Up. Download Anaconda; Sign In; obspy / packages / obspy. Anaconda login and then, one of the following: pip install -i https://pypi.anaconda.
Go to: https://www.anaconda.com/download/
Click on the download button for the python 3 installer for your browser.
Once the installer has downloaded, double-click on the installer and follow directions to install anaconda on your machine. (You can leave the default install location as is).
You can leave all the settings as default. If by default it says that you cannot install on that disk, select your main disk to install on.
Step 2 – Open Jupyter Notebook
Method 1: Open from the command line –
Open Command Prompt (Windows) or Terminal (Mac). This application will be already on your computer. To find it, simply search your computer (e.g. for Windows press the Windows button then type Command and the Command Prompt application should be found).
In the box that pops up, type the following line:
jupyter notebook [and then press enter]
Jupyter notebook should open in your default web browser.
Method 2: Open from Anaconda Navigator:
Find Anaconda Navigator on your system (e.g. in Mac, type Anaconda into the search bar and press enter).
Click Launch under Jupyter Notebook.
Step 3 – Navigate to where you want to create your notebook
In the browser window that pops up, navigate to the folder where you want to create your notebook.
If you don’t know where to start (and if you left the install defaults as they were), just click on Documents. This will place you in your Documents folder and all your work will be saved there.
Step 4 Create a new notebook
Once you are in the folder you want to create the new notebook, look to the top right. Click the button below the logout button which says New. A menu will drop down and click on Python 3.
Step 5 – Begin coding
Try typing the following in the first box:
print(“Hello World”)
After you’ve typed that click Cell in the menu bar and then click the Run Cells option (or press shift-enter).
![For For](https://www.wallpaperpimper.com/wallpapers/186e4t/macbook-pro-15/hawaii.jpg)
If you would like to start working with some of the libraries you have, try importing them. For example type:
import pandas [and then press shift-enter]
It should run and you have successfully import the pandas library and are ready to begin working with pandas. Anaconda has automatically installed a number of libraries (including pandas, numpy, and sklearn) for you to start using.
Step 6 – Save your notebook.
![Download Anaconda For Macbook Pro Download Anaconda For Macbook Pro](/uploads/1/3/3/9/133993114/412507799.jpg)
Click on the title of the notebook (Currently it has the title “Untitled“)
Then, within Jupyter menu bar click File and then Save and Checkpoint (or press control-s for Windows or command-s for mac)
The notebook will be saved to the folder you navigated to when you created your notebook. (E.g. if you navigated to Documents, the notebook will be in your documents folder). Note – to reopen the notebook, you need to open Jupyter Notebooks and navigate to your folder again in Jupyter Notebook’s file browser (you can’t simply click on the notebook in your system’s file browser like you would be able to do with another file type like a word document).
Note about Jupyter’s cell types:
Jupyter notebooks can, amongst other things, process text as well as code. If you can run the code, check the kind of cell that you have. If the code simply appears as text, you have a “markdown” cell. Click on the
If you can’t run the code, check the kind of cell that you have. If the code simply appears as text, you have a “markdown” cell. Click on the drop-down menu and change the cell to “code”. You should see “In” and two square brackets to the left of the cell. It will look like this:
In [ ]:
Note about installing other libraries:
Anaconda comes with a lot of libraries, but if you want more, you open Terminal (for Mac) or Command Prompt (for Windows) and type in the following:
conda install package_name
For example, to install seaborn you would type
conda install seaborn [and then press enter]
Installers often ask for yes/no confirmation, in which case you type:
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y [and then press enter]
Python for Mac OS X
Python comes pre-installed on Mac OS X so it is easy to startusing. However, to take advantage of the latest versions ofPython, you will need to download and install newer versionsalongside the system ones. The easiest way to do that is toinstall one of the binary installers for OS X from thePython Download page. Installers areavailable for the latest Python 3 and Python 2 releases thatwill work on all Macs that run Mac OS X 10.5 and later.
Python releases include IDLE, Python's built-in interactivedevelopment environment. If you download and install Pythonfrom the release page, you may also need to download and installa newer version of Tcl/Tk for OS X. See theIDLE and Tkinter on OS X page formore information.
You can run a Python interpreter by double-clicking onApplications / Utilities / Terminal and typing python3 (if you'veinstalled a version of Python 3) or python (to use Python 2) inthe window that opens up. You can also launch IDLE for the Pythonversion you have installed by double-clicking its icon inthe appropriate Python version folder in the Applications folderor you can also just type idle3 or idle in a terminal window.
There are many thousands of additional Python software packagesavailable through PyPI, the PythonPackage Index. We recommend you use thepip tool to simplifyinstalling and managing additional packages. pip is includedwith Python 3.4 releases; for earlier releases, follow the pipinstall instructions.
Among the packages available through PyPI are some that arespecifically for OS X environments. Among these are:
- pyobjc which providesa bridge between Python and Objective-C, allowing you to writefull-featured native Cocoa applications in pure Python.
- py2app which allowsyou to make standalone OS X double-clickable application bundlesand plugins from Python scripts.
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For more information about Python on OS X, see the mailing list and archivesfor thePython-Macintosh Special Interest Group.
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Alternative Packages for Mac OS X.
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- ActiveState ActivePython(commercial and community versions, including scientific computing modules).
- Enthought Python DistributionThe Enthought Python Distribution provides scientists with a comprehensive setof tools to perform rigorous data analysis and visualization.
Python and a comprehensive set of third-party packages and libraries are alsoavailable from several open source package manager projects for OS X,including: