Install/Manage Anaconda on My Macbook

This page is for recording/managing installation process of Anaconda on my MacBook Pro.

Installing Anaconda on Macbook

1. Checking Pre-installed Anaconda

• I have no idea whether I installed Anaconda on my Macbook. This can be checked by

$ conda --version
-bash: conda: command not found

2. Installing Anaconda on macOS

• Maybe, the easiest way is downloading .pkg file on the Anaconda download page (Python 3.8 version) and installing it.

• If you can find Anaconda Navigator on your LaunchPad, then the installation is successful.
• Open a new terminal, then the terminal may shows (base)
• Try

(base)... $ conda list

# packages in environment at /Users/yodacat/opt/anaconda3:
#
# Name                    Version                   Build  Channel
_ipyw_jlab_nb_ext_conf    0.1.0                    py38_0  
alabaster                 0.7.12                     py_0  
anaconda                  2020.11                  py38_0  
anaconda-client           1.7.2                    py38_0  
anaconda-navigator        1.10.0                   py38_0  
                                              ...

Managing Anaconda On My MacBook Pro

1. Create a Virtual Environment

• Create an virtual environment venv_0 with Python version = 3.8.5

(base)$ conda create -n venv_0 pip python=3.8.5

Collecting package metadata (current_repodata.json): done
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.9.2
  latest version: 4.10.0
...
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate venv_0
#
# To deactivate an active environment, use
#
#     $ conda deactivate

• venv_0 can be activated

(base)$ conda activate venv_0 

2. Installing Python Module within the Virtual Environment (venv_0)

• Within the virtual environment, install other Python modules

PyQT5

conda install -c anaconda pyqt

Matplotlib

conda install -c conda-forge matplotlib

Jupyter Notebook

conda install -c conda-forge jupyterlab

Pandas

conda install -c anaconda pandas

Scipy

conda install -c anaconda scipy

Gpxpy

conda install -c conda-forge gpxpy

utm

conda install -c conda-forge utm

gmplot

conda install -c mlgill gmplot

or pip install gmplot on the terminal after activating a virtual env.

basemap

conda install -c anaconda basemap

jsonlines

conda install -c conda-forge jsonlines

pynmea2

conda install -c conda-forge pynmea2

pyserial

conda install -c anaconda pyserial

pytest

conda install -c anaconda pytest

LatLon23(1.07) (Decimal <-> DMS)

conda install -c conda-forge latlon23

Plotly

conda install -c plotly plotly

Echo the installed modules within the virtual environment

conda list -n venv_0 , where venv_0 is name of the virtual environment.

# packages in environment at /Users/yodacat/opt/anaconda3/envs/venv_0:
#
# Name                    Version                   Build  Channel
ca-certificates           2021.1.19            hecd8cb5_1  
certifi                   2020.12.5        py38hecd8cb5_0  
libcxx                    10.0.0                        1  
libffi                    3.3                  hb1e8313_2  
ncurses                   6.2                  h0a44026_1  
openssl                   1.1.1k               h9ed2024_0  
pip                       21.0.1           py38hecd8cb5_0  
python                    3.8.5                h26836e1_1  
readline                  8.1                  h9ed2024_0  
setuptools                52.0.0           py38hecd8cb5_0  
sqlite                    3.35.4               hce871da_0  
tk                        8.6.10               hb0a8c7a_0  
wheel                     0.36.2             pyhd3eb1b0_0  
xz                        5.2.5                h1de35cc_0  
zlib                      1.2.11               h1de35cc_3  

3. Run a Virtual Env on VSCODE

https://mylogcenter.tistory.com/7

References

• Anaconda commands (in Korean)

Future plan