Jupyter Notebook is an open-source web application that is used to create and share documents that contain data in different formats which includes live code, equations, visualizations, and text. Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. This page provides the instructions for how to install and run IPython and Jupyter Notebook in a virtualenv on Mac. Most probably your Mac has already come with Python installed (see step 1 and step 2 below to check whether Python and Python 3 is installed on your mac, because my Mac book air has both Python and Python3.6 installed, I will go ahead to step 3 to install virtualenv).
Download Source Code ffmpeg-snapshot.tar.bz2
More releases
More releases
If you find FFmpeg useful, you are welcome to contribute by donating. More downloading options
Get packages & executable files
FFmpeg only provides source code. Below are some links that provide it already compiled and ready to go.
Linux Packages
Linux Static Builds
Windows EXE Files
macOS
Get the Sources
You can retrieve the source code through Git by using the command:
Cannot access Git or wish to speed up the cloning and reduce the bandwidth usage?
![Jupyter Jupyter](/uploads/1/2/6/3/126344802/893396195.jpg)
FFmpeg has always been a very experimental and developer-driven project. It is a key component in many multimedia projects and has new features added constantly. Development branch snapshots work really well 99% of the time so people are not afraid to use them.
Git Repositories
Since FFmpeg is developed with Git, multiple repositories from developers and groups of developers are available.
Clone URL | Description |
---|---|
Main FFmpeg Git repository | |
https://git.ffmpeg.org/ffmpeg-web | Main ffmpeg.org website repository |
https://git.ffmpeg.org/fateserver | fate.ffmpeg.org server software repository |
Mirrors | |
Mirror of the main repository | |
Mirror of the website repository | |
Mirror of the FATE server repository |
Releases
Approximately every 6 months the FFmpeg project makes a new major release. Between major releases point releases will appear that add important bug fixes but no new features. Note that these releases are intended for distributors and system integrators. Users that wish to compile from source themselves are strongly encouraged to consider using the development branch (see above), this is the only version on which FFmpeg developers actively work. The release branches only cherry pick selected changes from the development branch, which therefore receives much more and much faster bug fixes such as additional features and security patches.
FFmpeg 4.3.1 '4:3'
4.3.1 was released on 2020-07-11. It is the latest stable FFmpeg release from the 4.3 release branch, which was cut from master on 2020-06-08.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 4.2.4 'Ada'
4.2.4 was released on 2020-07-09. It is the latest stable FFmpeg release from the 4.2 release branch, which was cut from master on 2019-07-21.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 4.1.6 'al-Khwarizmi'
4.1.6 was released on 2020-07-05. It is the latest stable FFmpeg release from the 4.1 release branch, which was cut from master on 2018-11-02.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 4.0.6 'Wu'
Install Jupyter Notebook On Mac
4.0.6 was released on 2020-07-03. It is the latest stable FFmpeg release from the 4.0 release branch, which was cut from master on 2018-04-16.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 3.4.8 'Cantor'
3.4.8 was released on 2020-07-04. It is the latest stable FFmpeg release from the 3.4 release branch, which was cut from master on 2017-10-11.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 3.2.15 'Hypatia'
3.2.15 was released on 2020-07-02. It is the latest stable FFmpeg release from the 3.2 release branch, which was cut from master on 2016-10-26.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 2.8.17 'Feynman'
2.8.17 was released on 2020-07-07. It is the latest stable FFmpeg release from the 2.8 release branch, which was cut from master on 2015-09-05. Amongst lots of other changes, it includes all changes from ffmpeg-mt, libav master of 2015-08-28, libav 11 as of 2015-08-28.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
Old Releases
Older versions are available at the Old Releases page.
![Jupyter Jupyter](/uploads/1/2/6/3/126344802/254941161.png)
Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Download Jupyter Lab
Jupyter has support for over 40 different programming languages and Python is one of them. Python is a requirement (Python 3.3 or greater, or Python 2.7) for installing the Jupyter Notebook itself.
Jupyter Notebook can be installed by using either of the two ways described below:
- Using Anaconda:
Install Python and Jupyter using the Anaconda Distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. To install Anaconda, go through How to install Anaconda on windows? and follow the instructions provided. - Using PIP:
Install Jupyter using the PIP package manager used to install and manage software packages/libraries written in Python. To install pip, go through How to install PIP on Windows? and follow the instructions provided.
Installing Jupyter Notebook using Anaconda:
Anaconda is an open-source software that contains Jupyter, spyder, etc that are used for large data processing, data analytics, heavy scientific computing. Anaconda works for R and python programming language. Spyder(sub-application of Anaconda) is used for python. Opencv for python will work in spyder. Package versions are managed by the package management system called conda.
To install Jupyter using Anaconda, just go through the following instructions:
- Launch Anaconda Navigator:
- Click on the Install Jupyter Notebook Button:
- Beginning the Installation:
- Loading Packages:
- Finished Installation:
Launching Jupyter:
Installing Jupyter Notebook using pip:
Online Jupyter Notebook
PIP is a package management system used to install and manage software packages/libraries written in Python. These files are stored in a large “on-line repository” termed as Python Package Index (PyPI).
pip uses PyPI as the default source for packages and their dependencies.
pip uses PyPI as the default source for packages and their dependencies.
Download Files From Jupyter Notebook
To install Jupyter using pip, we need to first check if pip is updated in our system. Use the following command to update pip:
After updating the pip version, follow the instructions provided below to install Jupyter:
Jupyter Download File
- Command to install Jupyter:
- Beginning Installation:
- Downloading Files and Data:
- Installing Packages:
- Finished Installation:
Launching Jupyter:
Use the following command to launch Jupyter using command-line:
Use the following command to launch Jupyter using command-line:
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