Anaconda For Mac
- Anaconda 的镜像地址默认在国外，用 conda 安装包的时候会很慢，目前可用的国内镜像源地址有清华大学的。修改 /.condarc (Linux/Mac) 或 C:Users当前用户名.condarc (Windows) 配置：.
- The first time I decided to download Anaconda, I went through the normal graphical Mac installation. It worked fine as an application, but it just wouldn’t work with my terminal. Unwilling to give up, I uninstalled Anaconda and then tried the command-line installation.
Install PyCharm and Anaconda (Windows /Mac/Ubuntu) Michael Galarnyk. Jul 16, 2017 4 min read. Installing PyCharm and Anaconda Youtube Video. PyCharm comes bundled with a JRE on. Anaconda 的镜像地址默认在国外，用 conda 安装包的时候会很慢，目前可用的国内镜像源地址有清华大学的。修改 /.condarc (Linux/Mac) 或 C: Users 当前用户名.condarc (Windows) 配置：.
MacOS graphical install¶. Download the graphical macOS installer for your version of Python. RECOMMENDED: Verify data integrity with SHA-256.For more information on hashes, see What about cryptographic hash verification? Dec 26, 2016 While I previously made a video on how to manually install anaconda, the way below utilizes bash scripts which are a faster way to install a Python 3 or Python 2 version of Anaconda.
MacOS Catalina was released on October 7, 2019, and has been causing quite a stir for Anaconda users. Apple has decided that Anaconda’s default install location in the root folder is not allowed. It moves that folder into a folder on your desktop called “Relocated Items,” in the Security folder. If you’ve used the .pkg installer for Anaconda, this probably broke your Anaconda installation. Many users discuss the breakage at https://github.com/ContinuumIO/anaconda-issues/issues/10998.
There is unfortunately no simple fix for your current installation. Some people have recommended moving the Anaconda folder from the “Relocated Items” folder back to your home folder, followed by modifying PATH to point at the new location. This is a partial fix, and may restore some core functionality for you. Unfortunately, many files in a given conda environment contain hard-coded paths to their install path (AKA prefix). When you copy or move folders around, these hard-coded paths are not accurate, and programs in your environment might look for other things in the wrong place and break.
So, where to go from here? You have several options.
Reinstallation
Choose one:
- Start fresh with a new Anaconda installation. Pay attention during installation to make sure that your install path is a subfolder of your home folder, such as /Users/me/anaconda3
- Start fresh using the .sh installer instead of the .pkg installer. This installer makes it simpler to choose the destination path, and gives you more choice on how you want your shell to behave.
We have tested the currently available shell installers, and found them to work fine with Catalina. If you rely on the GUI installer instead, you’ll need to wait for the soon-to-be-released Anaconda 2019.10 installer, which will be signed and notarized in accordance with Apple’s more stringent policies.
Repair
This is experimental, but will allow you to fix your old installation and keep all of your old environments. To do this, you’ll use our self-contained prefix replacement tool at https://repo.anaconda.com/pkgs/misc/cpr-exec/cpr-0.1.1-osx-64.exe Note that although these files have a “.exe” file suffix, they are not Windows executables. We use the .exe suffix to indicate a standalone executable.
The experimental tool uses pyinstaller to make a standalone execution from code at https://github.com/conda/conda-prefix-replacement, which is a consolidated collection of the prefix detection and replacement code that is spread between conda and conda-build. We’ve added a novel feature to CPR for “rehoming” environments, which is the functionality needed to address the moved environment problem. Specifically, given the current (new) prefix, rehoming attempts to detect the old prefix from files within, and then adjust the detected files to have the new prefix value.
In steps:
1. At a terminal, download the file and make it executable:
2. Run the CPR tool to fix embedded paths:
Let’s say you started with an install to /Anaconda3, which Apple helpfully moved to “Relocated Items.” You have moved that folder to ~/anaconda3. Example commands for using CPR to fix this are:
Again, that finds your old prefix by looking in some files that are known to record the prefix in a readily parseable way. If that fails, you can still fix things as long as you know what the original path was:
The CPR command is recursive. Because environments default to the envs folder within your Anaconda[2 3] folder, CPR will fix all of your environments within your base prefix as well.
3. Re-run conda init to fix your conda shell command:
NOTE: if you use a shell other than bash, specify it in the conda init command:
4. Fix your ~/.conda/environments.txt file:
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Open the ~/.conda/environments.txt file, and find/replace all instances of the old install location (e.g. /Anaconda3) with the new one (e.g. ~/anaconda3).
5. Find any remaining references to the old environment in other configuration files:
Many packages in Anaconda manage their own configuration files, typically in some subfolder of your home directory. You can use a tool like grep or ripgrep to find these files. You’ll then need to edit them and fix the paths as you did with the environments.txt file. An example grep command might be:
We hope this helps you get back on track.
R is a programming language. To use R, we need to install an Integrated Development Environment (IDE). Rstudio is the Best IDE available as it is user-friendly, open-source and is part of the Anaconda platform.
In this tutorial, we will learn
Install Anaconda
What is Anaconda?
Anaconda free open source is distributing both Python and R programming language. Anaconda is widely used in the scientific community and data scientist to carry out Machine Learning project or data analysis.
Why use Anaconda?
Anaconda will help you to manage all the libraries required for Python, or R. Anaconda will install all the required libraries and IDE into one single folder to simplify package management. Otherwise, you would need to install them separately.
Mac User
Step 1) Go to https://www.anaconda.com/download/ and Download Anaconda for Python 3.6 for your OS.
By default, Chrome selects the downloading page of your system. In this tutorial, installation is done for Mac. If you run on Windows or Linux, download Anaconda 5.1 for Windows installer or Anaconda 5.1 for Linux installer.
Step 2) You are now ready to install Anaconda. Double-click on the downloaded file to begin the installation. It is .dmg for mac and .exe for windows.You will be asked to confirm the installation. Click Continue button.
You are redirected to the Anaconda3 Installer.
Step 3) Next window displays the ReadMe. After you are done reading the document, click Continue
Step 4) This window shows the Anaconda End User License Agreement. Click Continue to agree.
Step 5) You are prompted to agree, click Agree to go to the next step.
Step 6) Click Change Install Location to set the location of Anaconda. By default, Anaconda is installed in the user environment: Users/YOURNAME/.
Select the destination by clicking on Install for me only. It means Anaconda will be accessible only to this user.
Step 7) You can install Anaconda now. Click Install to proceed. Anaconda takes around 2.5 GB on your hard drive.
A message box is prompt. You need to confirm by typing your password. Hit Install Software
The installation may take sometimes. It depends on your machine.
Step 8) Anaconda asks you if you want to install Microsoft VSCode. You can ignore it and hit Continue
Step 9) The installation is completed. You can close the window.
You are asked if you want to move 'Anaconda3' installer to the Trash. Click Move to Trash
You are done with the installation of Anaconda on a macOS system
Windows User
Step 1) Open the downloaded exe and click Next
Step 2) Accept the License Agreement
Step 3) Select Just Me and click Next
Step 4) Select Destination Folder and Click Next
Step 5) Click Install in next Screen
Step 6) Installation will begin
Once done, Anaconda will be installed.
Install R
Mac users
Step 1) Anaconda uses the terminal to install libraries. The terminal is a quick way to install libraries. We need to be sure to point the installation toward the right path. In our case, we set the location of Anaconda to the Users/USERNAME/. We can confirm this by checking anaconda3 folder.
Open Computer and select Users, USERNAME and anaconda3. It confirms that we installed Anaconda on the right path. Now, let's see how macOS write the path. Right-click, and then Get Info
Select the path Where and click Copy
Step 2) For Mac user:
- The shortest way is to use the Spotlight Search and write terminal.
The terminal sets the default working directory to Users/USERNAME. As you can see in the figure below, the path of anaconda3 and the working directory are identical. In macOS, the latest folder is shown before the $. For me, it is Thomas. The terminal will install all the libraries in this working directory.
If the path on the text editor does not match the working directory, you can change it by writing cd PATH in the terminal. PATH is the path you pasted in the text editor. Don't forget to wrap the PATH with 'PATH'. This action will change the working directory to PATH.
Step 4) We are ready to install R. I recommend you to install all packages and dependencies with the conda command in the terminal.
r-essentials means conda will install R and all the necessary libraries used by data scientist.
Conda is downloading the libraries
It takes some time to upload all the libraries. Be patient..you are all set.
In the terminal, you should see Executing transaction: done. If so, you have successfully installed R.
You can check where R is located.
Windows User
Step 1) Open the Anaconda command prompt
Step 2) In the command prompt
- Enter the R install command
- Environment will be determined
- List of packages to be installed will be listed
Step 3) Enter y and hit the return key to start installation
Step 4) Installation will take time, and you will get done message.
Install Rstudio
Mac User
In the terminal, write the following code:
In the terminal, you should see Executing transaction: done. If so, you have successfully installed Rstudio.
You are all set now, congratulation!
Windows User
Step 1) Enter command to install R Studio in the Anaconda prompt
Step 2) You will be shown a list of packages that will be installed. Enter y
Step 3) R Studio will be installed
Warning
Avoid as much as you can to install a library using pip for Python, and R. Conda libraries gather a lot of packages, you don't need to install libraries outside of conda environment.
Run Rstudio
Directly run the command line from the terminal to open Rstudio. You open the terminal and write rstudio. You can also use Desktop Shortcut
Or
A new window will be opened with Rstudio.
Test
Open Rstudio from the terminal and open a script. Write the following command:
- ## In Rstudio summary(cars)
- Click Run
- Check Output
If you can see the summary statistics, it works. You can close Rstudio without saving the files.
Install package
Install package with anaconda is trivial. You go to your favorite browser, type the name of the library followed by anaconda r.
You choose the link that points to anaconda. You copy and paste the library into the terminal.
For instance, we need to install randomForest for the tutorial on random forest; we go https://anaconda.org/r/r-randomforest.
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Run conda install -c r r-randomforest --yes from the terminal.
The installation is completed.
Note that Thorough this tutorial, you won't need to install many libraries as the most used libraries came with the r-essential conda library. It includes ggplot for the graph and caret for the machine learning project.
Open a library
Anaconda For Mac 10.7.5
To run the R function randomForest(), we need to open the library containing the function. In the Rstudio script, we can write library(randomForest)
Anaconda For Mac 10.15
Warning: Avoid as much as possible to open unnecessary packages. You might ended up creating conflicts between libraries.
Run R code
We have two ways to run codes in R
Anaconda For Mac Os X
- We can run the codes inside the Console. Our data will be stored in the Global Environment but no history is recorded. We won't be able to replicate the results once R is closed. We need to write the codes all over again. This method is not recommended if we want to replicate our save our codes
Anaconda For Mac Mojave
- Write the code in the script. We can write as many lines of codes as we want. To run the code, we simple select the rows we want to return. Finally, click on run. We can see the output in the Console. We can save our script and open it later. Our results won't we lost.
Warning: In we point the cursor at the second row (i.e., slice_vector[1:5]), the Console displays an error. That's, we didn't run the line number 1.
Similarly, if we point the cursor to an empty row and click on run, R return an empty output.