Is there any way to export data from a Datagrid to a CSV file or some kind of Excel format in Kony Visualizer?
I'm developing the application for a Desktop platform. There was a similar question asked earlier by someone else on Kony Base Camp, but it was never answered. Here is the unanswered question I'm referring to, particularly question 2.
https://basecamp.kony.com/s/question/0D56A00000RZXw7SAH/reg-pdf-viewingexporting-options-for-desktop-and-spa
You can achieve this using the platform-specific FFI libraries. You can utilize Kony Fabric to create a service that exports excel, word, or PDF documents.
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I am currently trying to search a group of ebooks to learn more about C#. The aim is to ask a question get a page in one or multiple of the ebooks to read. I went to the g_suite chat team and they have kindly directed me to vision commands that was easy enough to follow to make multiple json files.
https://cloud.google.com/vision/docs/pdf
I want to implement this files in to AUTO ML Natural Language Processing. To do so, a CSV file is required.
I do not know how to create a CSV file that would get me past this point and I am currently stuck.
How to create a CSV file using gcloud command and should not the Json file be Jsonl file to be accepted?
thanks for your answer in advance
The output from the Vision API (service) is a JSON file written to Cloud Storage.
The input dataset to Auto ML expects the data to be in CSV format and stored in Cloud Storage.
This isn't a gcloud issue but a general data-transformation problem: transforming JSON to CSV.
Google Cloud includes services that could help you with this but I suggest you start by writing a script that converts the data (i.e. loads then parses the JSON file creating a CSV file in the required format for Auto ML).
You may want to Google to see whether others have done similar and use their code as a starting point.
NOTE IIUC your solution, while an interesting use of these technologies may be overkill. If you're looking to learn Vision API and Auto ML, great. If not, most of this content is available more directly as searchable HTML and text on the web and indeed Stack overflow exists to answer developer questions on a myriad of topics including C#.
I want to automate some process, which is currently done by macro.
I want to read excel/csv file and perform some business logic and write the result back to csv.
I want to achieve it through .net web api core. Are there any open source libraries like csvhelper, EPPlus.Core etc?
Please help me
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I've created an app for iOS using Swift that is essentially a Latin dictionary. Users have the ability to create new words that aren't included in the app. The data is stored locally in the app's document directory in two SQLite databases. The first one holds the words that ship with the app. The second holds the words that are created by the user.
I want to have each word created by the user uploaded to a server at runtime and added to a master database of words. That server would then compare each incoming entry to William Whitaker's Words to see if it is in fact a valid Latin word and then to see if it is already in the master database. If it is valid and not already in the master DB, then the word would be added.
After every new entry to the master database, the server would generate a new SQLite database that includes the new word. Every time the app runs it will check for a newer version of the StandardData.sqlite file and if there is one, it is downloaded. Words that are common to the Standard library and the user's custom library would then be deleted from the custom library to prevent duplicates.
Over time a large library of Latin words would be created without me having to manually enter them in from a dictionary.
I'm somewhat familiar with MySQL (When using it with MySQL workbench) but beyond that I'm mostly unfamiliar with today's web programming tools: HTML5, CSS, JavaScript, Java, Ruby, Rails, PHP, etc. My budget is 0$ and ideally I would like to host the server on my own hardware. What is the best way to add a backend to my app?
This is a question of opinion, so I'm not sure this is the best forum. However you have several options, including some that could be completely free.
Rails and PHP as you have mentioned can be used to create a backend using mysql as the data layer. If you are new to both of those languages, you might look at Python using one of the many frameworks for it. If your app is completely iOS based, you might also look into using CloudKit, which is free up to certain sizes (which it sounds like you could easily stay below). The advantage of CloudKit would be that you don't even have to host the service on your own hardware. There are a few other similar options as well, included Firebase and Parse which both have free tiers that likely would provide all the storage you need.
With any of these three, you'd be using the API in swift in your iOS project, and not having to learn a new language.
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I've seen a lot of questions here about how to export a sql database to excel, but I have a ton of information from an excel file that I would like to export to sql database. The file is extensive and it could take me years to transfer the info manually... years! Is there a faster easier way to do this?
You don't actually need to write code to do this.
Save the Excel file to CSV format and then see one of the many related questions:
How to import CSV file to MySQL table
How I can Import data from CSV to MySQL?
Import CSV file directly into MySQL
The friendliest way is to use a graphical tool like HeidiSQL to match up the excel columns to the columns in your database.
You can use apache poi library to read the excel file line by line and jdbc to create connection to mysql database and execute insert statements.
In my project I used jruby with nurettin-jruby-poi fork of the jruby-poi gem to read the excel file and activerecord to insert the data into mysql.
Write a .NET Program (Console is simpler)
Access the Excel Worksheet/Workbook
Copy the Attributes and create appropriate Tables for the sheets in your Excel
Now copy the contents to SQL Tables appropriately
Since it is automated it will be faster
As Colin Pickard said, you can use CSV format that can be directly imported.
If you're using PHP, you can use the PHPExcel library here which can do the job !
Btw, you should tell us if you're using a certain language..
You can use a GUI Data Import tool, it supports direct import from *.XLS and *.XLSX (Excel 2007) files.
Use Talend Open Studio to visually design and then automate any kind of data integration job.
http://www.talend.com/index.php
My favorite tool for converting excel sheets into mysql database...
Full disclosure, I am the author.
http://excel2mysql.net
creating a CSV is better.
if we use CSV method we can export any character sets(unicode) also
ones we create a CSV file then, just use LOAD method available in mySql.
load method is used to import data to mysql directly(using sql query).
LOAD local permit you to import data from any location in your local machine
I need an alternative to exporting to a csv file. Basically, the requirement is to be able to allow the user to edit any amount of data from the database. Currently, the option is to export the data to csv and then the user can update them in Microsoft Excel. Thus, one can edit it without actually needing to have our web application installed. However, we are trying to avoid this approach due to some issues we encountered with working with CSV on Excel. Can someone recommend an alternative solution?
Most programming languages have libraries to allow you to import/export excel directly which avoids many of these issues. This means you won't have to tell you users to do special Save As when saving their files.
Java: http://poi.apache.org
Ruby: http://spreadsheet.rubyforge.org or http://roo.rubyforge.org
Google can provide options for other languages.