Initial settings for Mac (for data analysts)

My MacBook Pro has arrived at my house. You've come often, welcome. I was impressed because I used a MacBook Air with 4 GB of memory until just a few days ago. I `ll stick it~. So, I think it's the nth decoction, but I'll write down the software I put in and the environment construction instead of a memo.

spec

• MacBook Pro 2020
• OS Catalina (10.15.6)
• CPU: 1.7 GHz quad core Intel Core i7
• RAM: 16GB 2133 MHz LPDDR3
• Graphics: Intel Iris Plus Graphics 645 1536 MB
• Storage: 500GB SSD

Software put in

• Google Chrome
• Google Japanese Input (Mac default is shit)
• Slack (For users)
• Zoom (For those who also use this)
• Spectacle (Window can be freely moved up, down, left and right to full screen)
• Clipy (You can follow the history of command + C)
• Evernote (charged and used up)
• SublimeText3 (Since it will be a war, the editor's story is omitted)
• 1Password (security is important)
• Bandwith + (Measure traffic)
• Docker for Mac (Virtual environment construction)

Environment

Terminal appearance settings

After all, refer to this. → "Your terminal is not good" I use black letters (Ritchy) on the back of Japanese paper. You don't have to get tired of your eyes.

Sublime Text preferences

• Added llake8 (Python notation disciplinary committee member) linter.

Prompt settings

• When I tried to change ~ / .bashrc, it just became \ u \ W %` ``
• zsh seems to have a different grammar from bash. It's troublesome!
• Reference: https://qiita.com/ktr_type23/items/3eb782f98c7a5f4c60b0
• ʻExport PS1 ='% n:% ~% # Write ‘to.zshrc` and finish

Install Xcode developer tools

$ xcode-select --install

Homebrew installation

From Homebrew Official HP

$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"

wget

$ brew install wget

miniconda I want to manage various things by myself, so I will do it in the miniconda environment instead of anaconda.

• Download Miniconda3 MacOSX 64-bit bash from Official HP

$ cd ~/Downloads
$ bash Miniconda3-latest-MacOSX-x86_64.sh

• Reboot the terminal to enter the conda environment.

$ conda -V #conda version check
$ python -V #Python version check

Python package installation

$ conda install -c conda-forge numpy

Like this, it basically pulls from conda-forge. If there is no package, we will respond accordingly. What I put in for the time being

• numpy
• pandas
• scipy
• scikit-learn
• matplotlib
• seaborn
• iPyhton

Well, let's put the rest each time.

R Torima latest ver.4.0.2. Dropped from Cran page. Then install normally. Recently, I'm using R on Jupyter, so I can't install RStudio.

Julia Let's include Julia as well. From Official HP. Go to the download page and drop it. It's still a young language, so it may have changed a lot. So the latest version (v1.5.1). Then install normally.

$ exec '/Applications/Julia-1.5.app/Contents/Resources/julia/bin/julia'
               _
   _       _ _(_)_     |  Documentation: https://docs.julialang.org
  (_)     | (_) (_)    |
   _ _   _| |_  __ _   |  Type "?" for help, "]?" for Pkg help.
  | | | | | | |/ _` |  |
  | | |_| | | | (_| |  |  Version 1.5.1 (2020-08-25)
 _/ |\__'_|_|_|\__'_|  |  Official https://julialang.org/ release
|__/                   |

julia> 

did it.

Jupyter

$ conda install jupyter

I want to be able to use R and Julia as well as Python with jupyter notebook. Confirm.

$ jupyter kernelspec list
  python3    /Users/user/miniconda3/share/jupyter/kernels/python3

Since it is not included, set it. Julia Reference: Procedure to enable Julia on Jupyter Notebook on macOS Start Julia,

(@v1.5) pkg> add IJulia

R Reference: Use R with Jupyter.

$ R
> install.packages(c('repr', 'IRdisplay', 'evaluate', 'crayon', 'pbdZMQ', 'devtools', 'uuid', 'digest'))
> devtools::install_github('IRkernel/IRkernel')
> IRkernel::installspec()

How about this.

$ jupyter kernelspec list
Available kernels:
  ir           /Users/yamauchi/Library/Jupyter/kernels/ir
  julia-1.5    /Users/yamauchi/Library/Jupyter/kernels/julia-1.5
  python3      /Users/yamauchi/miniconda3/share/jupyter/kernels/python3

When I launch it ...

$ jupyter notebook

It's in! OK.

Finally

I think this kind of article is deadly upward compatible, but please forgive me. .. ..