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Anacondafor mac
Anacondafor mac




anacondafor mac
  1. #Anacondafor mac install
  2. #Anacondafor mac update

In a nutshell a Jupyter notebook is a web-based (i.e. The material of the tutorial is in the form of Jupyter notebooks.

#Anacondafor mac install

If you go the Environments tab on the left, and select the root environment (we will talk about the concept of Python environments later in the workshop) you can then search, select and install available packages, including the ones mentionned above. in Windows select Cmd.exe, on Mac the Terminal application in Utilities, the $ sign signifies the command prompt, so do not enter it !, also when prompted do you want to proceed? just enter yes ( y) :Īll of this can also be done using the Anaconda Navigator GUI (Graphical User Interface) which looks like below

#Anacondafor mac update

Once you have installed Anaconda, you can update to the latest compatible versions of all the pre-installed packages by running, at the command line, i.e. I suggest installing Anaconda in /Users/USERNAME/anaconda on Macs, and C:\Users\USERNAME\anaconda on Windows You should not need administrator rights, as Anaconda is completely self-contained and can be installed in your HOME directory. The Anaconda python distribution ( NOTE: select the version shipping with Python 3.6) must be downloaded from: The full list of packages is available at: all the main packages we will be using during the tutorial. In particular it provides Numpy, Scipy, Pandas, Matplotlib, etc.

anacondafor mac

It includes the python interpreter itself, the python standard library as well as a set of packages exposing data structures and methods for data manipulation and scientific computing and visualization. It is a completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing. Installation of Some additional librariesįor this tutorial, I strongly recommend installing the Anaconda Python distribution.NIWA Auckland / Climate and Weather Applications, Forecasting ServicesĪuckland, New Zealand, 31 August and 1 September 2017 Python for Climate and Meteorological Data Analysis and Visualisation






Anacondafor mac