Visit continuum.io and download theAnaconda Python distribution for your operating system (Windows/Mac OS/Linux).
Be sure to download the Python 3.X (where X is some number greater than or equal to 7) version, notthe 2.7 version.
Make sure that during the installation Anacondais added to your environment/path.
On Mac OS and Linux, this should happen by default.
For Windows users, we recommend installing for “just me” instead of “all users”. Windows users will need to check the upper box when the page shown below appears (disregard the “not recommended” warning from Anaconda).
To download the QuantEcon Data Science lectures, we use the Clone button on the toolbaras seen in the following image.
May 24, 2019 1. Installing Python Pandas on Windows. Here, we are going to discuss the two processes to install pandas on Windows-With pip; With anaconda; So, let’s start the first one-1.1 How to install pandas using pip? If you are using the latest version of Pandas, you will have pip already installed on your system. Therefore you need not follow from. Install XCode from App Store, this will install 3 compilers, clang, gcc ('apple') and gcc ('normal') Install macports (www.macports.org) or fink (www.finkproject.org) Never use your mac python again, and install all python modules trough the fink/macport and enjoy it taking care dependencies for you. Installing pandas in macports is as simple.
You can download the lectures through either Github Desktop or Terminal:
Github Desktop (Mac/Windows only), recommended for most users.
Terminal
In addition to Jupyter, the Anaconda Python distribution comes with two package management tools conda and pip.
These will help you ensure that you have the right packages (think of these as “add-ons” to Pythonthat give you additional functionality… We will discuss these more in depth later!) and help youkeep them all up to date.
We will work through an example below to install some new package functionality needed for somelater lectures. Generally, packages can be installed by using conda install <package name> orpip install <package name>.
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Linux/Mac
Press y and enter whenever you see Proceed [y]/n from your terminal.
Windows
Press y and enter whenever you see Proceed [y]/n from your terminal.
If you are told that you are missing a package at any point in time, we recommend trying to installthe package with conda first and, if that doesn’t work, installing with pip.
You can update a package by running:
Note: If you have errors using graphviz on Windows, then open a powershell terminal and execute the following two lines:
Start JupyterLab by following these steps:
If a web browser doesn’t open by default, look at the terminal text and find something that lookslike:
and copy/paste the line starting with http:// into your web browser.
Note
The terminal you opened must stay open while you are editing the notebooks.
Once the web browser is open, you should see the JupyterLab dashboard. You can open a new Jupyternotebook by clicking Python 3 when you see something like the following image in your browser:
Once the notebook is open, you should something similar to the following image:
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Note that:
See exercise 1 in the exercise list
Exercise 1
Open this file in Jupyter by navigating to the QuantEcon Data Science folder that we downloadedearlier, then click on the introduction folder, and select the getting_started.ipynb file.
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