Double-click the downloaded file and click continue to start the installation. Answer the prompts on the Introduction, Read Me, and License screens. Click the Install button to install Anaconda in your /opt directory (recommended): OR, click the Change Install Location button to install in another location (not recommended). Dec 27, 2019 Installing Anaconda. Anaconda is available for Windows, Mac OS X, and Linux, you can find the installation file in the anaconda official site. I suggest you choose the Python version 3.7 64-bit installer if you have a 64-bit machine, otherwise choose the 32-bit installer, instead.
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Dec 18, 2015 Anaconda Installation Guide for Mac Install Jupyter Notebook, Spyder, qtconsole and Jupyter Lab - Duration: 5:19. Machine Learning Tutorials 14,431 views 5:19. How to Install Anaconda on Mac OS X Locate the downloaded copy of Anaconda on your system. The name of this file varies, but normally it appears as. Double-click the installation file. You see an introduction dialog box. Click Continue. The wizard asks whether you want to review the Read Me. Search a library you want to install. $ anaconda search -t conda libraryname Get install command. $ anaconda show Package the name you searched Enter install command you just got. $ conda install -channel path package name If you make a mistake, uninstall it. $ conda uninstall package name For example, install betterexceptions.
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. If you’re looking for a hassle-free data science platform, this is the one for you.
Extensive packages
Anaconda is leading the way for innovative data science platforms for enterprises of all sizes.
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Anaconda provides you with more than 1,500 packages in its distribution. In it you will find the Anaconda navigator (a graphical alternative to command line interface), Conda package, virtual environment manager, and GUI. What makes Conda different from other PIP package managers is how package dependencies are managed. PIP installs Python package dependencies, even if they’re in conflict with other packages you’ve already installed. So, for example, a program can suddenly stop working when you’re installing a different package with a different version of the NumPy library. Everything will appear to work but, you data will produce different results because you didn’t install PIP in the same order. This is where Conda comes in. It analyzes your current environment and installations. This includes version limitations, dependencies, and incompatibility. As an open source package, it can be individually installed from the Anaconda repository, Anaconda Cloud or even the conda install command.
You can even create and share custom packages using the conda build command. The developers will then compile and build all the packages in the Anaconda repository, providing binaries for Windows, Linux and MacOS. Basically, you won’t worry about installing anything because Conda knows everything that’s been installed in your computer.
You can even create and share custom packages using the conda build command. The developers will then compile and build all the packages in the Anaconda repository, providing binaries for Windows, Linux and MacOS. Basically, you won’t worry about installing anything because Conda knows everything that’s been installed in your computer.
Extend your reach with Anaconda Navigator
The built in graphical user interface or GUI allows you to launch applications while managing Conda packages, environments and channels. This means the GUI will complete the process of installing packages without asking for a command-line command. It even includes these applications by default: JupyterLab & Jupyter Notebook / QtConsole / Spyder / Glueviz / Orange / RStudio / Visual Studio Code.
Where can you run this program?
Anaconda 2019.07 has these system requirements:
- Operating system: Windows 7 or newer, 64-bit macOS 10.10+, or Linux, including Ubuntu, RedHat, CentOS 6+.
- System architecture: Windows- 64-bit x86, 32-bit x86; MacOS- 64-bit x86; Linux- 64-bit x86, 64-bit Power8/Power9.
- 5 GB disk space or more.
- System architecture: Windows- 64-bit x86, 32-bit x86; MacOS- 64-bit x86; Linux- 64-bit x86, 64-bit Power8/Power9.
- 5 GB disk space or more.
Anaconda developers recommends you to install Anaconda for the local user so you won’t need administrator permissions. Or, you can opt to install Anaconda system wide, which does require administrator permissions.
Is there a better alternative?
If you’re looking for simple Python-dedicated environment, then you need PyCharm. Targeted specifically for Python programmers, this integrated development environment is filled with programming tools that can impress both new and experienced developers. It provides all the tools in a centralized system so you can increase your efficiency and effectiveness. Features like code analysis, graphical debugger, and unit tester helps you integrate Python programs with version control systems. In fact, every single output you make will be capable of web development from different web frameworks like Django, web2py, and Flask. It offers automated tools like code refactorings, PEP8 checks, and testing assistance to create your code, but what stands out the most is Smart Assistance. It fixes any of your errors or complete portions of your code. With PyCharm, you can expect a neat and maintainable code.
Our take
Anaconda’s host of innovative options makes it the best data science platform for all enterprises. By offering superior collaboration tools, scalability, and security, you never have to worry about gathering big data again.
Should you download it?
If you have experience with other package management and deployment programs, then make the big switch by downloading Anaconda.
5.0.0
Learning Outcomes
- Know how to install python on your own machine
- Know how to find where python is currently installed
Contents
- Mac OS X
- Exercises
It’s important not to skip steps. That is all.
We will use
anaconda
for simplicity. You can do what you like but I’ve installed python
in lots of different ways on Linux, Mac and Windows and anaconda
is by far the most straightforward for beginners.Make sure you tick the bit that asks you if you want to add anaconda to your
PATH
in the advanced settings. Otherwise you won’t be able to just runpython
nicely from the Terminal
.Google something like “How to install anaconda Windows” and follow the guide.
Macs are a bit annoying in that you can’t simply uninstall things nicely. To get around this we use
homewbrew
which is a package manager for Mac OS X.Google something like “installing hombrew mac os x” and at the time of writing it should take you to https://brew.sh/ with a line of code that you copy and paste into
Terminal
.Normally sholdn’t ever run code you don’t understand but this code is pretty legit.
You must install
anaconda
via the Terminal
and so we use brew
to install anaconda
.Therefore, google something like “install anaconda brew mac os x” (Note: You don’t want the graphical installer!!) I found this link decent at the time of writing.
Adding python
to your PATH
for Mac OS X
In Mac OS X you’ll need to add the location of your
python
installation into a special file that is ran when the Terminal
starts.To do this we use a command to create a file if it doesn’t exist
The
~/
is a shortcut for your root user file or home directory. On Windows this is C:usersyourname
. The .
at the beginning just denotes a hidden file.We can then add the
PATH
to the python executable to this file byNote that at the time of writing the
PATH
was /usr/local/anaconda3/bin
. This command adds the line export PATH=/path/to/your/conda/bin:'$PATH'
to the file ~/.bash_profile
by writing the output of the command echo
to the file specified after the operator >>
whcih signifies that you want to redirect the output and append to a file. For more information see hereIf you ever have weird things happen in the future when using
brew
check out https://hashrocket.com/blog/posts/keep-anaconda-from-constricting-your-homebrew-installsExercise 2.1: Verifying your python
executable
This exercise shows you how to debug a fairly common issue where users are running a different
python
executable to the one that they just installed.Check what
python
is your system defaultOn Windows
On Mac OS X
Exercise 2.2: Verifying your python
version
This exercise helps you check your python version. Another source of confusion for some beginners.
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Check you have python 3.6.5 or greater
If you don’t get
'Python 3.x.x :: Anaconda, Inc.'
for python
3.6.5 or greater than seek help / reinstall.Install Fportfolio Anaconda For Mac Os X
Exercise 2.3: Running a .py
file in python
This exercise aims to show you how python files can be executed from the command line.
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Run the file
~/pylrn/test.py
with python