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Let's navigate to the Py3 Coursera course, download the Jupyter Notebook files with the ipynb extensions, and their accompanying data files, and put those into the Py3 directory on our own computer. To run these files, simply navigate to our folder in terminal and type 'jupyter notebook' There you should see a folder for your files, and you'll. To be clear: jupyter notebook opens a notebook in the browser; it does not install jupyter. That should just come as part of anaconda installation. – Rick supports Monica Sep 29 '16 at 20:51 2. Installing statsmodels¶. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing.

It means you will install Ipython, Jupyter, and TensorFlow in an appropriate folder inside our machine. On top of this, you will add one essential library for data science: 'Pandas'. The Pandas library helps to manipulate a data frame. Install Anaconda. Download Anaconda version 4.3.1 (for Python 3.6) for the appropriate system.

For more information about using the conda package manager in Anaconda Prompt(terminal on Linux or macOS), see the conda documentation.

You can also use the graphical interfaceAnaconda Navigator to install conda packageswith just a few clicks.

If you're new to all this, the Jupyter Project recommends installing Anaconda, which installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. First, navigate to the Anaconda downloads page, select your platform (Windows, Mac, Linux), and download the installer including Python 3.6+. What is Jupyterlab for Mac. JupyterLab is the next-generation user interface for Project Jupyter offering all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user interface. JupyterLab will eventually replace the classic Jupyter Notebook. Download the latest version and execute the embedded shell script to install. Installing Jupyter on Mac is done through the command line using the conda install command.

Open an Anaconda Prompt (terminal on Linux or macOS) and follow theseinstructions.

Installing a conda package¶

  1. Good luck on your Python journey, whoever you are, and wherever in the world you may be! Its gonna be a challenging learning curve - BUT THERE ARE TWO T.
  2. Download the get-pip.py file and store it. How to download and install Python Latest Version on macOS / Mac OS X. How to install Jupyter Notebook.

Enter the command:

Installing specific versions of conda packages¶

Include the desired version number or its prefix after the package name:

To specify only a major version, run:

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These commands install into the environment that is currently active. Toinstall into a named environment, run:

If the package is specific to a Python version, conda uses the versioninstalled in the current or named environment. For details on versions,dependencies and channels, seeConda FAQ andConda Troubleshooting.

Installing packages on a non-networked (air-gapped) computer¶

To directly install a conda package from your local computer, run:

Conda installs packages into the anaconda/pkgs directory.

To install a .tar file containing many conda packages, run the following command:

If conda cannot find the file, try using an absolute path name instead of a relative path name.


Installing packages directly from the file does not resolve dependencies. If your installed package does not work, it may have missing dependencies that need to be resolved manually.

The easiest way to install statsmodels is to install it as part of the Anacondadistribution, a cross-platform distribution for data analysis and scientificcomputing. This is the recommended installation method for most users.

Instructions for installing from PyPI, source or a development version are also provided.

Python Support¶

statsmodels supports Python 3.6, 3.7 and 3.8.


statsmodels is available through conda provided byAnaconda. The latest release canbe installed using:

PyPI (pip)¶

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To obtain the latest released version of statsmodels using pip:

Follow this link to our PyPI page to directlydownload wheels or source.

For Windows users, unofficial recent binaries (wheels) are occasionallyavailable here.

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Obtaining the Source¶

We do not release very often but the master branch of our source code isusually fine for everyday use. You can get the latest source from ourgithub repository. Or if youhave git installed:

If you want to keep up to date with the source on github just periodically do:

in the statsmodels directory.

Installation from Source¶

You will need a C compiler installed to build statsmodels. If you are buildingfrom the github source and not a source release, then you will also needCython. You can follow the instructions below to get a C compiler setup forWindows.

If your system is already set up with pip, a compiler, and git, you can try:

If you do not have pip installed or want to do the installation more manually,you can also type:

Or even more manually

statsmodels can also be installed in develop mode which installs statsmodelsinto the current python environment in-place. The advantage of this is thatedited modules will immediately be re-interpreted when the python interpreterrestarts without having to re-install statsmodels.

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If you are using Linux, we assume that you are savvy enough to install gcc onyour own. More than likely, it is already installed.

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It is strongly recommended to use 64-bit Python if possible.

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Getting the right compiler is especially confusing for Windows users. Over time,Python has been built using a variety of different Windows C compilers.This guide should helpclarify which version of Python uses which compiler by default.


Installing statsmodels on MacOS requires installing gcc which providesa suitable C compiler. We recommend installing Xcode and the Command LineTools.


The current minimum dependencies are:

  • Python >= 3.6

  • NumPy >= 1.15

  • SciPy >= 1.2

  • Pandas >= 0.23

  • Patsy >= 0.5.1

Cython is required to build from a git checkout but not to run or install from PyPI:

  • Cython >= 0.29 is required to build the code fromgithub but not from a source distribution.

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Given the long release cycle, statsmodels follows a loose time-based policy fordependencies: minimal dependencies are lagged about one and a half to twoyears. Our next planned update of minimum versions is expected in the firsthalf of 2020.

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Optional Dependencies¶

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  • cvxopt is required for regularized fitting ofsome models.

  • Matplotlib >= 2.2 is needed for plottingfunctions and running many of the examples.

  • If installed, X-12-ARIMA orX-13ARIMA-SEATS can be usedfor time-series analysis.

  • pytest is required to runthe test suite.

  • IPython >= 5.0 is required to build thedocs locally or to use the notebooks.

  • joblib >= 0.9 can be used to accelerate distributedestimation for certain models.

  • jupyter is needed to run the notebooks.