- How To Download Anaconda Python On Mac Os
- How To Download Anaconda Python On Mac Keyboard
- Anaconda Python Mac
- How To Download Anaconda Python On Mac Computer
- How To Download Anaconda Python On Mac Windows 10
Mar 13, 2016 (1.b) Make Anaconda your default python installation. For data science, Anaconda rules. Ideally, when you’re in Terminal and you type python, you’d like for the Anaconda python installation to be the default python that starts running instead of what comes installed by default on a typical Macbook. Installing Python 3 on a Mac Steps. Head to python.org. Click 'Downloads', then download the latest version from there: This downloads the 64-bit version of the latest Python release (3.8.5 as of August 2020). This is how you launch IDLE for Anaconda Python: Open up a Terminal. Type in idle3 &, followed by ENTER. Aug 30, 2020 In this tutorial, you will learn “ How to download and install anaconda on windows/mac/Linux? The best environment to learn and execute your code in python is Anaconda. Anaconda is an open-source platform with an inbuilt package of different software required for a developer to execute his skill. Whether you’re a big, small or medium enterprise, Anaconda will support your organization. As a free and open-source distribution of Python and R programming language, it’s aim is to easily scale a single user on one laptop to thousands of machines. In this video, we go step by step and install Anaconda on windows 10. Anaconda is a great choice for anyone using python! Download Anaconda: https://www.anac.
This is the first of a 4 articles series on how to get you started with Deep Learning in Python.
In this guide I'll show you how to:
- download and install Anaconda Python on your laptop
- create a conda environment for your deep learning development
- install the required packages in that environment
Anaconda is the leading open data science platform powered by Python. The open source version of Anaconda is a high performance distribution of Python and R and includes over 100 of the most popular Python, R and Scala packages for data science.
It can be downloaded here. Python comes in two major versions: 2.7 and 3.x. Python 2.7 is considered legacy, while 3.x is the present and future of Python. Despite this, I often recommend to install Python 2.7, because of the larger library support. If you are a complete beginner, you may want to start directly with Python 3.x. A detailed explanation of the differences between 2.7 and 3.x can be found here, and here you can find a discussion about what version to choose.
In Dataweekends workshops we use Python 2.7, because that's what most of our users are already familiar with.
Once you've downloaded Anaconda, you should install it on your Mac following the instructions provided by the Graphical installer.
Here are a couple of screenshots of key steps:
Unless you have very specific reasons to do so, we recommend to install anaconda for the local user only.
The guys at Continuum have developed an extremely versatile package manager called
conda
. It is a package manager that quickly installs, runs, and updates packages and their dependencies. It can also query and search the package index and current installation, create new environments, and install and update packages into existing conda environments.Conda environments are coherent collections of packages with specific versions that can be used to ensure portability of your python code. For example, imagine you developed a short python program that uses version 1.2 of a certain package. Let's say you want to share your code with a friend, but are not sure if she has the same package on her laptop. You ask your friend, and she is currently using version 1.0 of that package, because she uses it as part of another project. So, your friend doesn't want to update the library to 1.2 and would also like to test your script, which requires the upgrade. An environment solves this problem by allowing your friend to have both versions of the library, 1.0 and 1.2, in two separate environments, so that they do not interfere with one another.
Let's create an environment for our data science development, we'll call this environment
dataweekends
, but you can call it with any name you want.In a terminal window type:
How To Download Anaconda Python On Mac Os
hit
Enter
and answer y
when prompted to proceed. If all goes to plan at the end you should see this message:![How To Download Anaconda Python On Mac How To Download Anaconda Python On Mac](/uploads/1/3/3/2/133297648/559447904.png)
You can then go ahead and activate the environment typing:
This will prepend
(dataweekends)
to your terminal prompt. You can verify that you are in the correct active environment by typing:which should return:
Great! We have created an environment and successfully activated it. Now let's install
keras
.Tensorflow is an Open Source Software Library for Machine Intelligence originally developed by researchers and engineers working on the Google Brain Team. Version 1.0 has been announced in February, so that's the version we will install. There are several ways to install it, we'll use the
pip
method for this tutorial. In your active dataweekends
environment terminal type:Keras is a high-level neural networks api specification, implemented in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation and it allows to go from idea to result with the least possible delay.
Although Keras is also provided by community channel of Anaconda packages (conda-forge), it's most recent version is best installed with
pip
, so we'll go ahead and use that version. In your active dataweekends
environment terminal type:At the time of writing this installs
keras
version 1.2.2. Also, at the Tensorflow Dev Summit it was announced that keras
will become part of Tensorflow
from version 1.1
, so in the future it will be already installed whith Tensorflow.Voilà! You are done installing Anaconda, Tensorflow and Keras.
To test your installation you can type:
which will start the ipython console:
You can then type:
to which it should reply: Using TensorFlow backend.
Congratulations!!! You have successfully set up your Mac for development with Python, Keras and Tensorflow!
To stop the ipython console just type
CTRL+D
twice.How To Download Anaconda Python On Mac Keyboard
To exit the
dataweekends
environment, type:Anaconda Python Mac
Check the version of installed package
If you are not sure about the version of a
Tensorflow
(or any other package), it's easy to check that. In the ipython console (make sure you started it from within your environment)If you are not at the current version, you can always upgrade it using pip as explained earlier.
Switching Keras backend
Keras' backend is set in a hidden file stored in your home path. You can find it at
$/.keras/keras.json
. You can open it with a text editor and you should see something like this:Switching backend is as easy as replacing
tensorflow
with theano
in the last key. Then save the file and close it. If you then open ipython
and import keras
you should see:How To Download Anaconda Python On Mac Computer
You are now ready to step to the second part of this tutorial.
How To Install Jupyter Notebook and Anaconda on a Mac in 8 Easy Steps
Have a machine learning project ahead of you? Get up and running with Jupyter Notebook and Anaconda on a MAC in 8 easy steps.
![Mac Mac](/uploads/1/3/3/2/133297648/195549034.jpg)
How To Download Anaconda Python On Mac Windows 10
Jupyter Notebook can be installed using the Anaconda Distribution or Python’s package manager, pip. There are instructions available on the Jupyter Notebook website which outline both options. As an experienced Python user, you may wish to install Jupyter Notebook via pip. For beginners, I recommend selecting the Anaconda Distribution option, which offers an easy click-and-drag setup. This particular installation option will direct you to the Anaconda website.
At the Anaconda website, select your preferred installation for Windows, macOS, or Linux. You can find instructions available on the Anaconda website according to your choice of operating system.
The Terminal should open automatically and will generate a URL for you to copy and paste into your web browser. If Terminal does not automatically open, open Terminal and enter: jupyter notebook
Once you have Jupyter Notebook open in your browser, click on ‘New’ in the top right-hand corner of the web application to create a new ‘Notepad’ project and then select ‘Python 3’.