1. Google Drive For Mac
2. Google Docs For Mac Os X Downloads

Google Docs is arguably the best online word processor since it is incredibly easy to use. Also, you can comfortably collaborate with others. That said, it's not a pretty picture with all browsers. For instance, if you use Google Docs using Safari on your Mac, you will run into a major problem—you can't use it offline. So you won't be able to access and work on your documents if you lose internet connectivity.

Download the app. Open AndroidFileTransfer.dmg. Drag Android File Transfer to Applications. Use the USB cable that came with your Android device and connect it to your Mac. Double click Android File Transfer. Browse the files and folders on your Android device and copy files. Chrome theme designed for Mac OS X 10.10 Yosemite. Download Google Chrome. View and edit Microsoft Word, Excel, and PowerPoint files with Google Docs, Sheets, and Slides. Office Editing for Docs, Sheets & Slides. Chrome favorites in. Install the Google Chrome Extension “Office Editing for Docs, Sheets & Slides” 2. Right-click a.docx file and choose Get Info 3. Choose Open With: Google Chrome (you might have to choose Other to find it) 4. Click the button Change All.

The support for offline mode function in Google Docs is limited to Google Chrome. In short, you'll have to install Chrome on your Mac if you want to use Google Docs in offline mode.

That said, you can also use Google Docs offline with Chromium-based web browsers (Edge, Opera, Vivaldi, etc.) as long as you are willing to use a workaround. But, that experience won't be as polished as you get on Chrome.

Let's set up Chrome and figure out how to work on Google Docs offline. We shall then look at what you must do to get offline Google Docs functionality in the officially unsupported Chromium web browsers.

Also on Guiding Tech

How to Create a Custom Template in Google Docs

Read More

Install Google Chrome

Google Chrome is a prerequisite to use Google Docs offline. Although you may not want to have another web browser on your Mac, the convenience and peace of mind are worth the hassle.

Download Google Chrome

That said, Google Chrome is quite easy to install on the Mac. Download the Chrome installer file and open it. Then, drag and drop the Chrome app to the Applications folder.

Open Chrome, and you can choose to sign into it with your Google Account at the browser level if you want to set up Chrome sync.

Or, you can use the browser without signing into it. It would help if you disabled the Allow Chrome Sign-in feature (Settings > Sync and Google Services > Allow Chrome Sign-in). If you don't do that, Chrome will automatically log you in at the browser level once you sign in to Google Docs later.

Chrome will also prompt you to set it as the default browser. It's up to you to decide whether you want to do that. If you prefer your current browser for your main browsing activities, you can use Chrome just for working on Google Docs.

Add Google Docs Offline Extension

After installing Google Chrome, you must add the Google Docs Offline extension to the browser. As its name implies, the extension allows you to use Google Docs Offline. It is only available for Chrome, but you can also install it on alternative Chrome-based browsers as you will later on.

Download Google Docs Offline Extension

Head into the Chrome Web Store, search for 'Google Docs Offline' (or click the Download button above). Then, click Add to Chrome to add the extension to Chrome.

Once you've done that, you are ready to start using Google Docs offline. But, you must first enable the functionality.

Enable Google Docs Offline

Load Google Docs in a new Chrome tab and sign in to Google Docs. If you are already signed into Chrome at the browser level, you do not have to sign in to Google Docs again.

On the Google Docs dashboard, select the 3-stacked lines to the top-left of the screen. Then, select the option labeled Settings. On the Settings pop-up that shows up, turn on the switch next to Offline.

Finally, click OK to enable offline functionality in Google Docs. The web app will then start to cache the most recent documents offline.

That means you can load the Google Docs web app in Chrome and start working on your documents. The Google Docs Offline extension will save your changes offline. Once you reconnect to the internet, your changes will automatically sync with Google Drive.

Google Docs also lets you keep working if connectivity drops in the midst of working on a document. Again, the web app will save your changes offline and upload them once you re-establish a connection. However, you can't create new Google Docs documents while you are offline.

Also on Guiding Tech

#chrome

Click here to see our chrome articles page

Set Document As Offline

Additionally, Google Docs allows you to set any document to be always available offline. To do that, click the three-dot icon next to a document within the Google Docs dashboard and turn on the switch next to Offline Access.

Alternatively, you can do that while working on a document — open the File menu and select Make Available Offline.

Alternative Chromium Browsers

If you prefer an alternative Chromium-based web browser over Chrome (such as Microsoft Edge, Opera GX, or Vivaldi), you can use Google Docs offline.

Start by installing the Google Docs Offline extension from above. Chromium-based browsers support Chrome Web Store extensions, so you should have no trouble installing it.

Follow by adding the User-Agent Switcher and Manager extension. That allows you to masquerade the browser as Chrome by modifying the user agent string.

Install User-Agent Switcher and Manager

Once you've done that, select the User-Agent Switcher and Manager icon and set the user-agent string to Chrome—you can do that for a single tab or the browser in general.

Once you've done that, you can enable Offline functionality by diving into the Google Docs Settings pane. You can then keep working in Google Docs even after you lose internet connectivity.

But, the fact that you must always set the user agent string of the browser to Chrome, combined with the fact that the Google Docs Offline extension isn't officially supported, may put your work at risk. Hence, it's best to use Chrome itself to work in Google Docs offline, if possible.

Also on Guiding Tech

How to Reset Google Docs Settings

Read More

Don't Stress Out

Google should have supported offline functionality in all browsers, but considering where they are coming from, it's obvious that they want people to start using their browser. Chrome is absolutely worth installing on Mac if you love using Google Docs and want to make the best out of it.

Next up:Do you have issues with Google Docs not working offline in Chrome? Click on the next link to refer to the guide for fixing Google Docs offline problems.

The above article may contain affiliate links which help support Guiding Tech. However, it does not affect our editorial integrity. The content remains unbiased and authentic.

Read Next

What Does Make Available Offline Mean in Google Drive

Do you want to use

Jeffrey Scudder, Google Data APIs Team
August 2007

• Installing Python

Introduction

So you've decided to use theGoogle Data Python client library towrite an application using one of the manyGoogle Data services. Excellent choice!My aim with this short tutorial is to quickly get you started in using the client libraryto develop your application.

You probably want to jump in and start creating your application right away.First though, you may need to configureyour development environment and set up the tools you'll need to run the modules includedin the client library. Follow the steps below and you'll be running code in no time.

Installing Python

If you're going to be developing with the Python client library, you'll needa working version of Python 2.2 or higher. Many operating systems come with a versionof Python included, so you may be able to skip the installation step.To see which version of Python you have, run python -V in acommand line terminal. (Note: the V is uppercase.)This should result in something like:

If you see version 2.2 or higher, then you can startinstalling dependencies. Otherwise, look below to find installation/upgradeinstructions for your operating system.

Installing Python on Windows

There are quite a few implementations of Python to choose from in Windows, but for purposes of this guide, I'llbe using the .msi installer found on python.org.

1. Begin by downloading the installer from the Python download page.
2. Run the installer - you can accept all the default settings
3. To see if your install is working as expected, open a command prompt and run python -V.

Installing Python on Mac OS X

The list of downloads on python.org has .dmg installers for the Mac users out there.Here are the steps to install one of them:

1. Navigate to http://www.python.org/download/mac/
2. From this page, download the installer for the appropriate version of Mac OS X. Note: The Python installation page forMac OS X 10.3.8 and below is different than newer versions of Mac OS X. To find your OS X version, chooseAbout This Mac from the Apple menu in the top-left corner of your screen.
3. After the download finishes, double-click the new disk image file (ex. python-2.5-macosx.dmg) to mount it.If you're running Safari, this has already been done for you.
4. Open the mounted image and double-click the installer package inside.
5. Follow the installation instructions and read the information and license agreements asthey're presented to you. Again, the default settings will work fine here.
6. Verify the installation by opening Terminal.app (in /Applications/Utilities) and running python -V.The installation's version should appear.

Installing Python on Linux

To install on Linux and other *nix style operating systems,I prefer to download the source code and compile it.However, you may be able to use your favorite package manager to install Python.(For example, on Ubuntu this can be as easy asrunning sudo apt-get install python on the command line.) To install from source, follow these steps:

1. Download the source tarball from the Python download page.
2. Once you've downloaded the package, unpack it using the command line. You can use the following
3. Next, you'll need to compile and install the source code for the Python interpreter. In the decompressed directory, run ./configure to generate a makefile.
4. Then, run make. This will create a working Python executable file in the local directory. If you don't have root permission or you just want to use Python from your home directory, you can stop here. You'll be able to run Python from this directory, so you might want to add it to your PATH environment variable.
5. I prefer to have Python installed in /usr/bin/ where most Python scripts look for the interpreter. If you have root access, then run make install as root. This will install Python in the default location and it will be usable by everyone on your machine.
6. Check to see if your install is working as expected by opening a terminal and running python -V.

Installing Dependencies

Currently, the only external dependency is an XML library namedElementTree.If you are using Python version 2.5 or higher, you won't need to installElementTree since it comes with the Python package.

To see if ElementTree is already present on your system, do the following:

1. Run the Python interpreter. I usually do this by executing python on the command line.
2. Try importing the ElementTree module. If you are using Python 2.5 or higher, enter the following in the interpreter: For older versions, enter:
3. If the import fails, then you will need to continue reading this section. If it works, then you can skip to Installing the Google Data library.
4. Download a version which is appropriate for your operating system. For example, if you are using Windows, download elementtree-1.2.6-20050316.win32.exe. For other operating systems, I recommend downloading a compressed version.
5. If you are using a .tar.gz or .zip version of the library, first unpack, then install it by running ./setup.py install.

Running ./setup.py install attempts to compile the library and place it in the system directory for your Python modules. If you do not haveroot access, you can install the modules in your home directory or an alternate location by running ./setup.py install --home=~. This willplace the code in your home directory.

There is another option which avoids installing altogether. Once you decompress the download, you will find a directory named elementtree. Thisdirectory contains the modules which you will need to import. When you call import from within Python, it looks for a module with the desired name in several places. Thefirst place it looks is in the current directory, so if you are always running your code from one directory, you could just put the elementtree directorythere. Python will also look at the directories listed in yourPYTHONPATH environment variable. For instructions on editing yourPYTHONPATH,see the Appendix at the end of this article.I recommend using ./setup.py install for elementtree.

Installing the Google Data Library

Download the Google Data Python library if you haven't done so.Look for the latest version on the Python project's downloads page.

After downloading the library, unpack it using unzip or tar zxvf depending on the type of download you chose.

Now you are ready to install the library modules so that they can be imported into Python. There are several ways you can do this:

• If you have the ability to install packages for all users to access, you can run ./setup.py install from theunpacked archive's main directory.
• If you want to install these modules for use in your home directory, you can run ./setup.py install --home=<your home directory>.

• In some cases, you want to avoid installing the modules altogether. To do that, modify your PYTHONPATH environment variable to includea directory which contains the gdata and atom directories for the Google Data Python client library. For instructions on modifying your PYTHONPATH,see the Appendix at the end of this article.

• One final option that I'll mention, is copying the gdata and atom directories from the src directory into whateverdirectory you are in when you execute python.Python will look in the current directory when you do an import, but I don't recommend this method unless you are creating something quick and simple.

Once you've installed the Google Data library, you're ready to take the library for a test drive.

Running Tests and Samples

The Google Data Python client library distributions includesome test cases which are used in the development of the library. They can also serve as a quickcheck to make sure that your dependencies and library installation are working. From the top level directory where you've unpacked your copy of the library, try running:

If this script runs correctly, you should see output on the command line like this:

If you did not see any errors as the tests execute, then you have probably set up your environment correctly. Congratulations!

Now you can start running something more interesting. The distribution contains a samples directory which contains code which can providea starting point for writing your application. If you'd like to try out a simple interactive sample, try running ./samples/docs/docs_example.py.The Google Documents List API sample will prompt you for the email address and password for your Google account. If you have any documents or spreadsheets inGoogle Documents, you can list them by entering 1 for your selected operation. (If you don't have anydocuments or spreadsheets, you'll get a 404 error.)

If there is a particular Google Data service which interestes you, take a look at the sample for it to geta basic idea of how you can use the library. Most, but not all, of the features are demonstrated in the sample code, so you might want to take a look at the documentationfor the service you plan to work with to get a clear picture of what you can do with the API.

Writing a 'Hello World' Example

Let's start with a simple example. Here's a short program to print a list of all of the documents in yourGoogle Documents account:

Either save the above code snippet as a file and run it, or paste the code into the Python interpreter to see the Google DataPython client library at work.

Conclusion

Now that you've installed and tested the Google Data Pythonclient library, you're ready to start writing the next great application using:

As you continue to develop your application, you may hit a snag. If so, please check out the list of resources below:

If you happen to think of a great new feature for the library (or by chance find a bug),please enter it in thediscussion group.We're always interested in your feedback!

Happy coding :-)

Google Drive For Mac

Appendix: Modifying the PYTHONPATH

Google Docs For Mac Os X Downloads

When you import a package or module in Python, the interpreter looks for the file in a series of locationsincluding all of the directories listed in the PYTHONPATH environment variable. I often modify my PYTHONPATH topoint to modules where I have copied the source code for a library I am using. This prevents the need to install a moduleeach time it is modified because Python will load the module directly from directory which contains the modified source code.

I recommend the PYTHONPATH approach if you are making changes to the client library code, or if you do not haveadmin rights on your system. By editing the PYTHONPATH, you can put the required modules anywhere you like.

I modified my PYTHONPATH on a *nix and Mac OS X system by setting it in my .bashrc shell configuration file.If you are using the bash shell,you can set the variable by adding the following line to your ~/.bashrc file.

You can then apply these changes to your current shell session by executing source ~/.bashrc.

For Windows XP, pull up the Environment Variables for your profile: Control Panel > System Properties > Advanced > Environment Variables. From there, you can either create or edit the PYTHONPATH variable and add the location of your local library copy.