Coursera archive download






















This course introduces innovations in CAD and digital manufacturing, speaking to the rapid changes taking place that are forever transforming the future of making. Through a series of lectures and hands-on exercises, this course provides the core philosophy behind the software.

By understanding how designs are both made and assembled, you'll learn to create better designs from the start. The course is perfect for starters with limited or no knowledge about digital design, engineering and manufacturing. It lays out pretty good doundations and great overview of Fusion Otherwise, Python's argparse module will think that what you are passing is the name of the netrc file that you want to use.

See issue Have you installed the right project? Warning : If you installed the script using PyPi pip please verify that you installed the correct project. We had to use a different name in pip because our original name was already taken. Remember to install it using:.

If you are from China and you're having problems downloading videos, adding " Many old courses have already closed enrollment so often it's not an option. In this case, try downloading with --preview option. Some courses allow to download lecture materials without enrolling, but it's not common and is not guaranteed to work for every course. Finally, you can download the videos if you have, at least, the index file that lists all the course materials. Maybe your friend who is enrolled could save that course page for you.

Alternatively you may want to try this various browser extensions designed for this problem. Coursera-dl supports external downloaders but note that they are only used to download materials after the syllabus has been parsed, e. If you experience problems with downloading such materials, you may want to start using external downloader and configure its timeout values.

For example, you can use aria2c downloader by passing --aria option:. If you're on Windows behind a proxy, set up the environment variables before running the script as follows:. Related discussion: Source: issue StackOverflow.

This is a known error, please do not report about this error message! The problem is in YOUR environment. To fix it, do the following:. If you still have the problem, please read the following issues for more ideas on how to fix it: When saving a course page, we enabled MathJax rendering for math equations, by injecting MathJax. The script is using a cdn service provided by mathjax.

Verify that you are running the latest version of the script, and the recommended versions of its dependencies, see them in the file requirements. Use the following command if in doubt:.

If the problem persists, feel free to open an issue in our bugtracker, please fill the issue template with as much information as possible. When reporting bugs against coursera-dl , please don't forget to include enough information so that you can help us help you:.

Knowledge will flood the World a little more thanks to your script! I've been using it in Kenya for my non-profit to get online courses to places where internet is really expensive and unreliable.

Mostly kids here can't afford high school, and downloading one of these classes by the usual means would cost more than the average family earns in one week. Time constraints don't allow me to attend all the courses I want at the same time. I came across your script, and I am very happily using it!

Great stuff and thanks for making this available on Github - well done! Web icon An illustration of a computer application window Wayback Machine Texts icon An illustration of an open book. Books Video icon An illustration of two cells of a film strip. Video Audio icon An illustration of an audio speaker.

Audio Software icon An illustration of a 3. Software Images icon An illustration of two photographs. In the top-right, click the Coursera or Jupyter logo.

You'll see a file view page that lists all Jupyter resources in your current course. Click the New , then select Terminal to open the system command line. You'll see a shell prompt open. In the file view, select workspace. Your browser will download the workspace archive, which is yours to keep. URL Name. Properties Title. Download Jupyter Workspace files. Help Center. Number of Views 3.



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