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1. Sep 12, 2019 Orion markup 3 02. Multiple database support. SQLPro supports many database types including MySQL, MariaDB, Postgres, Microsoft SQL Server (2005.
2. Orion Markup delivers a well-organized user interface where you can import documents and highlight certain areas or include annotations without having to go through complicated procedures. Within the Orion Markup dynamic, you just have to drag and drop the annotation tools to the canvas area.

Orion Markup 3.04 MacOSX 36 MB The app lets you open an image (including, of course, screenshots taken from your own Mac), and add all sorts of annotations in the form of text, graphical.

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Released:

SQL for Humans

Project description

Records: SQL for Humans™

Records is a very simple, but powerful, library for making raw SQL queriesto most relational databases.

Just write SQL. No bells, no whistles. This common task can besurprisingly difficult with the standard tools available.This library strives to make this workflow as simple as possible,while providing an elegant interface to work with your query results.

Paperless 3 0 71 percent. Database support includes RedShift, Postgres, MySQL, SQLite, Oracle, and MS-SQL (drivers not included).

If you're interested in financially supporting Kenneth Reitz open source, consider visiting this link. Your support helps tremendously with sustainability of motivation, as Open Source is no longer part of my day job.

☤ The Basics

We know how to write SQL, so let's send some to our database:

Grab one row at a time:

Or iterate over them:

Values can be accessed many ways: row.user_email, row['user_email'], or row[3].

Fields with non-alphanumeric characters (like spaces) are also fully supported.

Or store a copy of your record collection for later reference:

If you're only expecting one result:

Other options include rows.as_dict() and rows.as_dict(ordered=True).

☤ Features

• Iterated rows are cached for future reference.
• $DATABASE_URL environment variable support.
• Convenience Database.get_table_names method.
• Command-line records tool for exporting queries.
• Safe parameterization: Database.query('life=:everything', everything=42).
• Queries can be passed as strings or filenames, parameters supported.
• Transactions: t = Database.transaction(); t.commit().
• Bulk actions: Database.bulk_query() & Databse.bulk_query_file().

Records is proudly powered by SQLAlchemyand Tablib.

☤ Data Export Functionality

Records also features full Tablib integration, and allows you to exportyour results to CSV, XLS, JSON, HTML Tables, YAML, or Pandas DataFrames with a single line of code.Excellent for sharing data with friends, or generating reports.

Comma Separated Values (CSV)

YAML Ain't Markup Language (YAML)

JavaScript Object Notation (JSON)

Microsoft Excel (xls, xlsx)

Pandas DataFrame

You get the point. All other features of Tablib are also available,so you can sort results, add/remove columns/rows, remove duplicates,transpose the table, add separators, slice data by column, and more.

See the Tablib Documentationfor more details.

☤ Installation

Of course, the recommended installation method is pipenv:

☤ Command-Line Tool

As an added bonus, a records command-line tool is automaticallyincluded. Here's a screenshot of the usage information:

☤ Thank You

Thanks for checking this library out! I hope you find it useful.

Of course, there's always room for improvement. Feel free to open an issue so we can make Records better, stronger, faster.

v0.5.1 (09-01-2017)

• Depend on tablib[pandas].
• Support for Bulk quies: Database.bulk_query() & Database.bulk_query_file().

v0.5.0 (11-15-2016)

• Support for transactions: t = Database.transaction(); t.commit()

Orion Markup 3 02 Download Free Torrent

v0.4.2 (02-15-2016)

• Packaging fix.

v0.4.0 (02-13-2016)

• Refactored to be fully powered by SQLAlchemy!
• Support for all major databases (thanks, SQLAlchemy!).
• Support for non-alphanumeric column names.
• New Record class, for representing/accessing result rows.
• ResultSet renamed RecordCollection.
• Removed Interactive Mode from the CLI.

v0.3.0 (02-11-2016)

• New record command-line tool available!
• Various improvements.

v0.2.0 (02-10-2016)

• Results are now represented as Record, a namedtuples class with dict-like qualities.
• New ResultSet.export method, for exporting to various formats.
• Slicing a ResultSet now works, and results in a new ResultSet.
• Lots of bugfixes and improvements!

Project details

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