AfterShip ODBC Driver for Python Connection

Accessing the AfterShip database can be fast and seamless by using the Open Database Connectivity (ODBC) solution. Providing full interoperability, the ODBC driver for AfterShip allows you to access live AfterShip data directly from Python. It enables you to retrieve data to Python, and review and modify these data right in this application.

AfterShip Key Features

  • Customization and flexibility
  • Forecasting and analytics
  • Files sync and share
  • Sales automation

Python Key Features

  • Extensive libraries and frameworks
  • Data manipulation and analysis
  • Web development and APIs
  • Machine learning and data science
Native Connectivity to AfterShip

Direct Connection

Our data connector enables various ODBC-aware applications to establish a direct connection to AfterShip via TCP/IP to eliminate the need for a AfterShip client. A direct connection increases the speed of data transmission between Python and AfterShip for real-time analytics. It streamlines the deployment process since there is no need to distribute any additional client-side software with the ODBC driver for AfterShip.

What are some reasons to choose Devart ODBC Driver for AfterShip?

Integration

Integration

ODBC Driver for AfterShip is compatible with Python allowing extraction of data by executing SQL statements.

Platforms Variety

Platforms Variety

ODBC Driver for AfterShip can be used with 32-bit and 64-bit applications on both x32 and x64 platforms, so there is no need to additionally configure the driver, applications, or environment.

Fully Unicode-Compliant Driver

Fully Unicode-Compliant Driver

With our fully Unicode-compliant driver, you can properly retrieve and modify any data in multilingual AfterShip databases, regardless of their character set: Latin, Cyrillic, Hebrew, Chinese, etc., and in any language environment.

How to download, install, and configure ODBC Driver for AfterShip?

Download the driver. Run the installer and follow the instructions in the wizard. Open ODBC Data Sources. In the System DSN tab, click Add. Select the needed driver and click Finish.
In the License tab of the Configuration dialog, click Input Activation Key and enter your key. Click OK.
In the General tab of the Configuration dialog, fill in the fields with the database connection data. To test the connectivity, click Test Connection. To save the DSN, click OK.
Tools

Steps to connect to AfterShip database in Python
with pyodbc module

Install the driver and configure an ODBC data source in the driver settings

01.Import the pyodbc module and create a connection to the database.

import pyodbc 
cnxn = pyodbc.connect('DRIVER={Devart ODBC Driver for SQLite};Direct=True;Database=mydatabase')
                
Start SQL Server Management Studio and create a linked server

02.Execute an INSERT statement to test the connection to the database.

cursor = cnxn.cursor()  
cursor.execute("INSERT INTO EMP (EMPNO, ENAME, JOB, MGR) VALUES (535, 'Scott', 'Manager', 545)")
                
Run a query against the data storage

03.Retrieve a result set from a query, iterate over it and print out all records.

cursor.execute("SELECT * FROM EMP")
row = cursor.fetchone() 
while row: 
    print (row)
    row = cursor.fetchone()   
                

Advantages of Connectivity to AfterShip from Python via ODBC Driver

Secure Connection

Secure Connection

Every operation with AfterShip becomes significantly faster using such capabilities of our driver as local data caching, connection pooling, and much more.

Working with Python using Multiple Functions

Working with Python using Multiple Functions

Using Python, you can create tables, add data, select, delete, sort, edit, combine data from several database tables, and find unique values quickly and easily.

ODBC Conformance

ODBC Conformance

The driver fully supports the ODBC interface, its data types, and functions. It offers advanced connection string parameters and allows any ODBC-compliant desktop or web application to connect to AfterShip from Python on various platforms.

Simple SQL Querying on Python Files

Simple SQL Querying on Python Files

Python processes SQL through its SQL dialect. Using ODBC connection, it is simple to execute different SQL queries to retrieve entire tables or specific columns from Excel, filter data, formate data, numbers, etc.

Cost-Effective Deployment

Cost-Effective Deployment

Installing the driver is easy with the standalone installation file. There is no need in deploying and configuring any additional software which results in a reduction in deployment costs.

Sharing Your Data with Excel

Sharing Your Data with Python

You can share your data with other users in Python quickly and easily. Upload your Python data to the SharePoint lists so that it can be available for you and others to use to create reports, data models, dashboards, etc.

Popular Python Integrations Using ODBC Driver