Metadata-Version: 1.1
Name: pipulate
Version: 0.2.3
Summary: Free and Open Source SEO Software (Auto-Update Google Sheets).
Home-page: https://github.com/miklevin/pipulate
Author: Mike Levin SEO in NYC, alum of Commodore & 360i, Creator of HitTail.com, currently with J2/Ziff-Davis/IGN/Mashable.
Author-email: miklevin@gmail.com
License: MIT
Download-URL: https://github.com/miklevin/pipulate/archive/0.2.3.tar.gz
Description: :Author: `Mike Levin SEO in NYC, alum of Commodore & 360i, Creator of HitTail, currently with J2/Ziff-Davis/IGN/Mashable. <http://mikelev.in>`_
        
        Pipulate Free and Open Source SEO Software (Automate Google Sheets for Dashboards)
        ##################################################################################
        
        .. image:: https://raw.githubusercontent.com/miklevin/Pipulate/master/pipulate-logo.svg?sanitize=true
        
        - Do you make Spreadsheet Reports using Google Analytics, GSC and other Data?
        - Are you using expensive plug-ins or products to keep these Reports Updated?
        - Do you feel all this stuff should be FREE if only you could wire it all up?
        
        Then It's Time To Learn a Little Python!
        ========================================
        
        Pipulate is designed to make playing with data in Jupyter Notebook easy. The
        easiest way to install Pipulate from Jupyter is to execute these commands from
        within a Notebook::
        
        	import sys
        	!{sys.executable} -m pip install --upgrade --no-cache-dir pipulate
        
        If you're not using Anaconda, then you will have to install Pandas first.
        
        The first time you import Pipulate, you will receive a Google OAuth prompt to
        allow access to the Google Spreadsheet you want to edit.  Click the big link
        and paste the resulting token back into the field shown in Jupyter Notebook or
        your command-line. Once this is done, the basic use is::
        
            import pipulate as gs
            cl, df = gs.pipulate(tab, rows, cols)
            # Do stuff to df
            gs.populate(tab, cl, df)
        
        This loads the rectangular region you defined with the rows and columns into
        memory in a way where you can treat it a lot like a tab in Microsoft Excel or
        table in SQL. You can manipulate the pandas "DataFrame" (abbreviated as df),
        and then push the changes back out to the Google Sheet. For example::
        
            import pipulate as gs
            sheet = gs.key('119mnC8Day68KexU_yv7J_wfA3p7iZeXa0YEtmg1Igu4')  # your key
            tab = sheet.worksheet('Sheet1')
            cl, df = gs.pipulate(tab, rows=(1, 5), cols=('A', 'C'))
            df['A'] = 'foo'
            df['B'] = 'bar'
            df['C'] = df['A'] + df['B']
            gs.populate(tab, cl, df)  # Watch the sheet update :)
        
        And that's it. All Pipulate does is pull down the rectangular cell-range you
        define and plop it into df. What you do with the Pandas DataFrame (df) is up to
        you. I'll load the examples directory with ideas, but this is very open-ended,
        designed to make automation of traditional tedious tasks in SEO much simpler.
        Once you're happy with your script, you can copy/paste it into a .py file and
        schedule it with a standard Linux scheduler, which is another part of this
        project I'll be expanding considerably (generic task-scheduling under Linux).
        
        The Shameless Hype
        ==================
        
        Why is this billed as "SEO software" when all it does is make updating Google
        Sheets easy? It's because this is the main missing ingredient in building all
        those custom reports necessary to surface actionable data every day. It's also
        your easy route into data manipulation with Python/Pandas and the repurposing
        of your aging SEO career into something simultaneously more timely and
        timeless. Learning just the right Linux, Python, vim and git (LPvg) will
        set you on a good course for the next 10-years and beyond.
        
        
Keywords: open source,seo software,google sheets,linux scheduling,datamaster,datamasterng,pandas,gspread
Platform: UNKNOWN
