Anaconda Python 3.7 Download Mac

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.

1. Anaconda For Python Download
2. Anaconda For Python 3.7 Windows

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

To overcome the issue of outdated and/or multiple versions of python, we will use anaconda to install python version 3.x, and to run jupyter notebooks (explained later). Anaconda - Installation MAC - visit - on the middle of the page click on macOS - download 'Python 3.7. Ccleaner mac os x download windows 10. Scroll down a bit more. Make sure it says 'Anaconda 5.0.1 For macOS Installer' Download the installer by clicking the download button for Python 3.6 version. (Takes about 30 minutes depending on your internet speed) Once download is complete. Locate installer either by Opening 'Finder' - 'Downloads' folder.

Python Support¶

statsmodels supports Python 3.6, 3.7 and 3.8.

Anaconda¶

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

PyPI (pip)¶

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.

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.

Compilers¶

Linux¶

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

Windows¶

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

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.

Mac¶

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

Dependencies¶

Anaconda For Python Download

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.

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.

Anaconda For Python 3.7 Windows

Optional Dependencies¶

• 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.

• 3d floorplanner free. joblib >= 0.9 can be used to accelerate distributedestimation for certain models.

• jupyter is needed to run the notebooks.

To learn machine learning, we will use the Python programming language in this tutorial. So, in order to use Python for machine learning, we need to install it in our computer system with compatible IDEs (Integrated Development Environment).

In this topic, we will learn to install Python and an IDE with the help of Anaconda distribution.

Anaconda distribution is a free and open-source platform for Python/R programming languages. It can be easily installed on any OS such as Windows, Linux, and MAC OS. It provides more than 1500 Python/R data science packages which are suitable for developing machine learning and deep learning models.

Anaconda distribution provides installation of Python with various IDE's such as Jupyter Notebook, Spyder, Anaconda prompt, etc. Hence it is a very convenient packaged solution which you can easily download and install in your computer. It will automatically install Python and some basic IDEs and libraries with it.

Below some steps are given to show the downloading and installing process of Anaconda and IDE:

Step-1: Download Anaconda Python:

• To download Anaconda in your system, firstly, open your favorite browser and type Download Anaconda Python, and then click on the first link as given in the below image. Alternatively, you can directly download it by clicking on this link, https://www.anaconda.com/distribution/#download-section.

• After clicking on the first link, you will reach to download page of Anaconda, as shown in the below image:

• Since, Anaconda is available for Windows, Linux, and Mac OS, hence, you can download it as per your OS type by clicking on available options shown in below image. It will provide you Python 2.7 and Python 3.7 versions, but the latest version is 3.7, hence we will download Python 3.7 version. After clicking on the download option, it will start downloading on your computer.

Note: In this topic, we are downloading Anaconda for Windows you can choose it as per your OS.

Step- 2: Install Anaconda Python (Python 3.7 version):

Once the downloading process gets completed, go to downloads → double click on the '.exe' file (Anaconda3-2019.03-Windows-x86_64.exe) of Anaconda. It will open a setup window for Anaconda installations as given in below image, then click on Next.

• It will open a License agreement window click on 'I Agree' option and move further.

• In the next window, you will get two options for installations as given in the below image. Select the first option (Just me) and click on Next.

• Now you will get a window for installing location, here, you can leave it as default or change it by browsing a location, and then click on Next. Consider the below image:

• Now select the second option, and click on install.

• Once the installation gets complete, click on Next.

• Now installation is completed, tick the checkbox if you want to learn more about Anaconda and Anaconda cloud. Click on Finish to end the process.

Note: Here, we will use the Spyder IDE to run Python programs.

Step- 3: Open Anaconda Navigator

• After successful installation of Anaconda, use Anaconda navigator to launch a Python IDE such as Spyder and Jupyter Notebook.
• To open Anaconda Navigator, click on window Key and search for Anaconda navigator, and click on it. Consider the below image:

• After opening the navigator, launch the Spyder IDE by clicking on the Launch button given below the Spyder. It will install the Spyder IDE in your system.

Run your Python program in Spyder IDE.

• Open Spyder IDE, it will look like the below image:

• Write your first program, and save it using the .py extension.
• Run the program using the triangle Run button.
• You can check the program's output on console pane at the bottom right side.

Step- 4: Close the Spyder IDE.

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