Metadata-Version: 2.1
Name: devart-ase-connector
Version: 1.3.0
Summary: New level of functionality and performance in data access via Python
Home-page: https://devart.com
Author: Devart
Author-email: support@devart.com
License: Other/Proprietary License
Project-URL: Homepage, https://devart.com/python/ase/
Project-URL: Download, https://devart.com/python/ase/download.html
Project-URL: History, https://devart.com/python/ase/revision_history.html
Project-URL: License, https://www.devart.com/python/eula.html
Project-URL: Documentation, https://docs.devart.com/python/ase/overview.htm
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# Python Connector for ASE #

Python Connector for ASE is a connectivity solution for accessing ASE
databases from Python applications. It fully implements the Python DB API 2.0
specification. The connector is distributed as a wheel package for Windows,
macOS, and Linux.

Direct connection

The connector enables you to establish a direct connection to ASE from
a Python application via TCP/IP, eliminating the need for the database client
library. A direct connection increases the speed of data transmission between
the application and ASE database server. It also streamlines the deployment
process since you don't have to distribute any client libraries with
the application.

Secure communication

## Connecting ##

To establish a connection to an ASE database, import the connector and use
the `connect()` method with your connection parameters.

### Import the connector ###

First, import the ASE connector module:

```
import devart.ase as ase
```

### Establish a connection ###

Call the `connect()` method with the connection parameters for your ASE server and obtain a `connection` object.

```
my_connection = ase.connect(
Server="your_server",    Database="your_database",    UserId="your_username",    Password="your_password"
)
```

Replace the example values with your actual connection values.

## Querying data ##

Once connected to ASE, you can execute SQL queries to retrieve data from
your ASE database.

### Execute a query ###

Create a `cursor` object using the `cursor()` connection method.
```
my_cursor = my_connection.cursor()
```
Execute a SQL query using the `execute()` cursor method.
```
my_cursor.execute("SELECT * FROM employees")
```
Retrieve results using one of the `fetch*()` methods.
```
for row in my_cursor.fetchall():
    print(row)
```

### Parameterized queries ###

You can use parameterized queries to pass variable values to your SQL statements. This allows you to reuse the same query with different data and helps to prevent SQL injection attacks.

Pass parameters as a list or tuple to the `execute()` method:

```
query = "SELECT Id, Name FROM Contact WHERE Name = ? AND Email = ?"
params = ["Jordan Sanders", "jordansanders@example.com"]
my_cursor.execute(query, params)
results = my_cursor.fetchall()
for row in results:
    print(row)
```

Each placeholder `?` in the query is replaced with a corresponding value from the parameter list.

## Ordering and activating the license ##

You can purchase a license for the connector on the ordering page:             
https://www.devart.com/python/ase/ordering.html

To activate the license, follow the instructions in the documentation:             
https://docs.devart.com/python/ase/activate-a-license.htm

## What's new ##

Python Connector for ASE 1.3

- Added support for Python 3.14
- Added support for the Bearer Token authentication when using an HTTP tunnel
- Added support for connection via the SSL protocol
- Added support for a password-protected private key for the SSL protocol
