I should probably add to this discussion about one of my new websites (yes, I am the author) called Python GIS Resources that aims to provide exactly what this question asks for.

The website is meant to be a one-stop resource-hub for Python open-source GIS tools, so that instead of having to scour a dozen webpages and forums you can find it gathered and compared on one website in an organized manner. Specifically you will find:

• An attempt at a comprehensive and updated list of available Python libraries to use for GIS organized according to what they do on different category pages. Each module get a brief description, list of dependencies, and a link for downloading, though I haven't done this for all yet. Since some of them can be difficult to install or use I will also try to add installation instructions and example scripts for each in the future.
• A list of links with descriptions to blogs dealing with Python and GIS (as opposed to pure-GIS blogs which there are much more of).
• And a list of books and/or online resources for learning about geospatial Python programming.
• The occasional post about major version releases for existing libraries, announcing and featuring newcomer Python packages, and/or posts about other useful learning resources that might be of interest.

If there are any resources that are missing you can also contribute and help keep the website up-to-date by posting a reply somewhere or sending an email. I still need to add some stuff, especially for books and online learning material.

The website Python GIS Resources is a site that I run which hopefully provides exactly what this question asks for. On the website you will find:

• A large and continually maintenanced index list of available GIS-related Python modules/packages/libraries, each with a short description, category, and link.

The website is meant to be a one-stop resource-hub for Python open-source GIS tools.

If there are any resources that are missing you can also contribute and help keep the website up-to-date by posting a reply somewhere or sending an email.

I should probably add to this discussion about one of my new websites (yes, I am the author) called Python GIS Resources that aims to provide exactly what this question asks for.

The website is meant to be a one-stop resource-hub for Python open-source GIS tools, so that instead of having to scour a dozen webpages and forums you can find it gathered and compared on one website in an organized manner. Specifically you will find:

• An attempt at a comprehensive and updated list of available Python libraries to use for GIS organized according to what they do on different category pages. Each module get a brief description, list of dependencies, and a link for downloading, though I haven't done this for all yet. Since some of them can be difficult to install or use I will also try to add installation instructions and example scripts for each in the future.
• A list of links with descriptions to blogs dealing with Python and GIS (as opposed to pure-GIS blogs which there are much more of).
• And a list of books and/or online resources for learning about geospatial Python programming.
• The occasional post about major version releases for existing libraries, announcing and featuring newcomer Python packages, and/or posts about other useful learning resources that might be of interest.

If there are any resources that are missing you can also contribute and help keep the website up-to-date by posting a reply somewhere or sending an email. I still need to add some stuff, especially for books and online learning material.

You can find the website at http://pythongisresources.wordpress.com/

I should probably add to this discussion about one of my new websites (yes, I am the author) called Python GIS Resources that aims to provide exactly what this question asks for.

The website is meant to be a one-stop resource-hub for Python open-source GIS tools, so that instead of having to scour a dozen webpages and forums you can find it gathered and compared on one website in an organized manner. Specifically you will find:

• An attempt at a comprehensive and updated list of available Python libraries to use for GIS organized according to what they do on different category pages. Each module get a brief description, list of dependencies, and a link for downloading, though I haven't done this for all yet. Since some of them can be difficult to install or use I will also try to add installation instructions and example scripts for each in the future.
• A list of links with descriptions to blogs dealing with Python and GIS (as opposed to pure-GIS blogs which there are much more of).
• And a list of books and/or online resources for learning about geospatial Python programming.
• The occasional post about major version releases for existing libraries, announcing and featuring newcomer Python packages, and/or posts about other useful learning resources that might be of interest.

If there are any resources that are missing you can also contribute and help keep the website up-to-date by posting a reply somewhere or sending an email. I still need to add some stuff, especially for books and online learning material.