Python libraries to import data from sqlite to word doc












-1















I have data stored in sqlite database (text & images) and want this to be imported into a .doc/.docx format. I am using the below references to try and achieve the same.




  1. Python-docx

  2. docx-mailmerge


Both the above have documentation, but not any content for sourcing the data from sqlite db.



Look forward to your feedback on if these are the best libraries for the job? Would be very grateful if you could direct me to any documentation that serves the required purpose.



EDIT:
To avoid downvotes for lack of research effort, link here. This question is only to understand if there are other good alternatives to the one I'm currently using. Thank you










share|improve this question





























    -1















    I have data stored in sqlite database (text & images) and want this to be imported into a .doc/.docx format. I am using the below references to try and achieve the same.




    1. Python-docx

    2. docx-mailmerge


    Both the above have documentation, but not any content for sourcing the data from sqlite db.



    Look forward to your feedback on if these are the best libraries for the job? Would be very grateful if you could direct me to any documentation that serves the required purpose.



    EDIT:
    To avoid downvotes for lack of research effort, link here. This question is only to understand if there are other good alternatives to the one I'm currently using. Thank you










    share|improve this question



























      -1












      -1








      -1








      I have data stored in sqlite database (text & images) and want this to be imported into a .doc/.docx format. I am using the below references to try and achieve the same.




      1. Python-docx

      2. docx-mailmerge


      Both the above have documentation, but not any content for sourcing the data from sqlite db.



      Look forward to your feedback on if these are the best libraries for the job? Would be very grateful if you could direct me to any documentation that serves the required purpose.



      EDIT:
      To avoid downvotes for lack of research effort, link here. This question is only to understand if there are other good alternatives to the one I'm currently using. Thank you










      share|improve this question
















      I have data stored in sqlite database (text & images) and want this to be imported into a .doc/.docx format. I am using the below references to try and achieve the same.




      1. Python-docx

      2. docx-mailmerge


      Both the above have documentation, but not any content for sourcing the data from sqlite db.



      Look forward to your feedback on if these are the best libraries for the job? Would be very grateful if you could direct me to any documentation that serves the required purpose.



      EDIT:
      To avoid downvotes for lack of research effort, link here. This question is only to understand if there are other good alternatives to the one I'm currently using. Thank you







      python-3.x sqlite3 ms-word






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      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 13 '18 at 1:06







      Berch

















      asked Nov 12 '18 at 15:48









      BerchBerch

      458




      458
























          1 Answer
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          Sqlite is part of Python Standard Library. Here is a link to a concise tutorial on how to use it.
          Below is a short excerpt:



          import sqlite3
          conn = sqlite3.connect('sqlite_file')
          c = conn.cursor()

          # Create a table
          c.execute('CREATE TABLE {tn} ({nf} {ft})'
          .format(tn='my_table', nf='name', ft='VARCHAR'))

          conn.commit()
          # insert table
          c.execute("INSERT INTO {tn} ({cn}) VALUES ('test')".
          format(tn='my_table', cn='name'))
          conn.commit()
          # select rows
          c.execute('SELECT * FROM {tn}'.format(tn='my_table'))
          all_rows = c.fetchall()

          for row in all_rows:
          # do something





          share|improve this answer

























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            1 Answer
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            1 Answer
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            active

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            active

            oldest

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            active

            oldest

            votes









            0














            Sqlite is part of Python Standard Library. Here is a link to a concise tutorial on how to use it.
            Below is a short excerpt:



            import sqlite3
            conn = sqlite3.connect('sqlite_file')
            c = conn.cursor()

            # Create a table
            c.execute('CREATE TABLE {tn} ({nf} {ft})'
            .format(tn='my_table', nf='name', ft='VARCHAR'))

            conn.commit()
            # insert table
            c.execute("INSERT INTO {tn} ({cn}) VALUES ('test')".
            format(tn='my_table', cn='name'))
            conn.commit()
            # select rows
            c.execute('SELECT * FROM {tn}'.format(tn='my_table'))
            all_rows = c.fetchall()

            for row in all_rows:
            # do something





            share|improve this answer






























              0














              Sqlite is part of Python Standard Library. Here is a link to a concise tutorial on how to use it.
              Below is a short excerpt:



              import sqlite3
              conn = sqlite3.connect('sqlite_file')
              c = conn.cursor()

              # Create a table
              c.execute('CREATE TABLE {tn} ({nf} {ft})'
              .format(tn='my_table', nf='name', ft='VARCHAR'))

              conn.commit()
              # insert table
              c.execute("INSERT INTO {tn} ({cn}) VALUES ('test')".
              format(tn='my_table', cn='name'))
              conn.commit()
              # select rows
              c.execute('SELECT * FROM {tn}'.format(tn='my_table'))
              all_rows = c.fetchall()

              for row in all_rows:
              # do something





              share|improve this answer




























                0












                0








                0







                Sqlite is part of Python Standard Library. Here is a link to a concise tutorial on how to use it.
                Below is a short excerpt:



                import sqlite3
                conn = sqlite3.connect('sqlite_file')
                c = conn.cursor()

                # Create a table
                c.execute('CREATE TABLE {tn} ({nf} {ft})'
                .format(tn='my_table', nf='name', ft='VARCHAR'))

                conn.commit()
                # insert table
                c.execute("INSERT INTO {tn} ({cn}) VALUES ('test')".
                format(tn='my_table', cn='name'))
                conn.commit()
                # select rows
                c.execute('SELECT * FROM {tn}'.format(tn='my_table'))
                all_rows = c.fetchall()

                for row in all_rows:
                # do something





                share|improve this answer















                Sqlite is part of Python Standard Library. Here is a link to a concise tutorial on how to use it.
                Below is a short excerpt:



                import sqlite3
                conn = sqlite3.connect('sqlite_file')
                c = conn.cursor()

                # Create a table
                c.execute('CREATE TABLE {tn} ({nf} {ft})'
                .format(tn='my_table', nf='name', ft='VARCHAR'))

                conn.commit()
                # insert table
                c.execute("INSERT INTO {tn} ({cn}) VALUES ('test')".
                format(tn='my_table', cn='name'))
                conn.commit()
                # select rows
                c.execute('SELECT * FROM {tn}'.format(tn='my_table'))
                all_rows = c.fetchall()

                for row in all_rows:
                # do something






                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Nov 12 '18 at 22:17

























                answered Nov 12 '18 at 16:04









                jeevsjeevs

                1165




                1165






























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