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Teradata Python DevOps Module Build Status

The Teradata Python Module is a freely available, open source, library for the Python programming language, whose aim is to make it easy to script powerful interactions with Teradata Database. It adopts the philosophy of udaSQL, providing a DevOps focused SQL Execution Engine that allows developers to focus on their SQL and procedural logic without worrying about Operational requirements such as external configuration, query banding, and logging.

INSTALLATION

[sudo] pip install teradata

The module is hosted on PyPi: https://pypi.python.org/pypi/teradata

DOCUMENTATION

Documentation for the Teradata Python Module is available on the Teradata Downloads site.

UNIT TESTS

To execute the unit tests, you can run the following command at the root of the project checkout.

python -m unittest discover -s test

The unit tests use the connection information specified in test/udaexec.ini. The unit tests depend on Teradata ODBC being installed and also on access to Teradata REST Services.

About

A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Teradata Python DevOps Module Build Status
The Teradata Python Module is a freely available, open source, library for the Python programming language, whose aim is to make it easy to script powerful interactions with Teradata Database. It adopts the philosophy of udaSQL, providing a DevOps focused SQL Execution Engine that allows developers to focus on their SQL and procedural logic without worrying about Operational requirements such as external configuration, query banding, and logging.
INSTALLATION
[sudo] pip install teradata

The module is hosted on PyPi: https://pypi.python.org/pypi/teradata
DOCUMENTATION
Documentation for the Teradata Python Module is available on the Teradata Downloads site.
UNIT TESTS
To execute the unit tests, you can run the following command at the root of the project checkout.
python -m unittest discover -s test
The unit tests use the connection information specified in test/udaexec.ini. The unit tests depend on Teradata ODBC being installed and also on access to Teradata REST Services.
About
A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.
Resources
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MIT license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
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} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Teradata Python DevOps Module Build Status
The Teradata Python Module is a freely available, open source, library for the Python programming language, whose aim is to make it easy to script powerful interactions with Teradata Database. It adopts the philosophy of udaSQL, providing a DevOps focused SQL Execution Engine that allows developers to focus on their SQL and procedural logic without worrying about Operational requirements such as external configuration, query banding, and logging.
INSTALLATION
[sudo] pip install teradata

The module is hosted on PyPi: https://pypi.python.org/pypi/teradata
DOCUMENTATION
Documentation for the Teradata Python Module is available on the Teradata Downloads site.
UNIT TESTS
To execute the unit tests, you can run the following command at the root of the project checkout.
python -m unittest discover -s test
The unit tests use the connection information specified in test/udaexec.ini. The unit tests depend on Teradata ODBC being installed and also on access to Teradata REST Services.
About
A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.
Resources
Readme
MIT license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
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var ref = document.referrer;
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Teradata Python DevOps Module Build Status
The Teradata Python Module is a freely available, open source, library for the Python programming language, whose aim is to make it easy to script powerful interactions with Teradata Database. It adopts the philosophy of udaSQL, providing a DevOps focused SQL Execution Engine that allows developers to focus on their SQL and procedural logic without worrying about Operational requirements such as external configuration, query banding, and logging.
INSTALLATION
[sudo] pip install teradata

The module is hosted on PyPi: https://pypi.python.org/pypi/teradata
DOCUMENTATION
Documentation for the Teradata Python Module is available on the Teradata Downloads site.
UNIT TESTS
To execute the unit tests, you can run the following command at the root of the project checkout.
python -m unittest discover -s test
The unit tests use the connection information specified in test/udaexec.ini. The unit tests depend on Teradata ODBC being installed and also on access to Teradata REST Services.
About
A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.
Resources
Readme
MIT license
Activity
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Teradata Python DevOps Module Build Status
The Teradata Python Module is a freely available, open source, library for the Python programming language, whose aim is to make it easy to script powerful interactions with Teradata Database. It adopts the philosophy of udaSQL, providing a DevOps focused SQL Execution Engine that allows developers to focus on their SQL and procedural logic without worrying about Operational requirements such as external configuration, query banding, and logging.
INSTALLATION
[sudo] pip install teradata

The module is hosted on PyPi: https://pypi.python.org/pypi/teradata
DOCUMENTATION
Documentation for the Teradata Python Module is available on the Teradata Downloads site.
UNIT TESTS
To execute the unit tests, you can run the following command at the root of the project checkout.
python -m unittest discover -s test
The unit tests use the connection information specified in test/udaexec.ini. The unit tests depend on Teradata ODBC being installed and also on access to Teradata REST Services.
About
A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.
Resources
Readme
MIT license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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})();
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Teradata Python DevOps Module Build Status
The Teradata Python Module is a freely available, open source, library for the Python programming language, whose aim is to make it easy to script powerful interactions with Teradata Database. It adopts the philosophy of udaSQL, providing a DevOps focused SQL Execution Engine that allows developers to focus on their SQL and procedural logic without worrying about Operational requirements such as external configuration, query banding, and logging.
INSTALLATION
[sudo] pip install teradata

The module is hosted on PyPi: https://pypi.python.org/pypi/teradata
DOCUMENTATION
Documentation for the Teradata Python Module is available on the Teradata Downloads site.
UNIT TESTS
To execute the unit tests, you can run the following command at the root of the project checkout.
python -m unittest discover -s test
The unit tests use the connection information specified in test/udaexec.ini. The unit tests depend on Teradata ODBC being installed and also on access to Teradata REST Services.
About
A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.
Resources
Readme
MIT license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
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var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Teradata Python DevOps Module Build Status
The Teradata Python Module is a freely available, open source, library for the Python programming language, whose aim is to make it easy to script powerful interactions with Teradata Database. It adopts the philosophy of udaSQL, providing a DevOps focused SQL Execution Engine that allows developers to focus on their SQL and procedural logic without worrying about Operational requirements such as external configuration, query banding, and logging.
INSTALLATION
[sudo] pip install teradata

The module is hosted on PyPi: https://pypi.python.org/pypi/teradata
DOCUMENTATION
Documentation for the Teradata Python Module is available on the Teradata Downloads site.
UNIT TESTS
To execute the unit tests, you can run the following command at the root of the project checkout.
python -m unittest discover -s test
The unit tests use the connection information specified in test/udaexec.ini. The unit tests depend on Teradata ODBC being installed and also on access to Teradata REST Services.
About
A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.
Resources
Readme
MIT license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
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filter: invert(1) hue-rotate(180deg) !important;
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.ace_editor, .ace_editor *,
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.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
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filter: none !important;
}
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filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Teradata Python DevOps Module Build Status
The Teradata Python Module is a freely available, open source, library for the Python programming language, whose aim is to make it easy to script powerful interactions with Teradata Database. It adopts the philosophy of udaSQL, providing a DevOps focused SQL Execution Engine that allows developers to focus on their SQL and procedural logic without worrying about Operational requirements such as external configuration, query banding, and logging.
INSTALLATION
[sudo] pip install teradata

The module is hosted on PyPi: https://pypi.python.org/pypi/teradata
DOCUMENTATION
Documentation for the Teradata Python Module is available on the Teradata Downloads site.
UNIT TESTS
To execute the unit tests, you can run the following command at the root of the project checkout.
python -m unittest discover -s test
The unit tests use the connection information specified in test/udaexec.ini. The unit tests depend on Teradata ODBC being installed and also on access to Teradata REST Services.
About
A Python Module to make it easy to script powerful interactions with Teradata Database in a DevOps friendly way.
Resources
Readme
MIT license
Activity
Stars
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