python-sql

python-sql

Python Software Foundation
+

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About

Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies in need of a big data solution

Audience

Developers searching for a solution offering a library to write SQL queries

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/databricks/

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Company Information

scikit-learn
United States
scikit-learn.org/stable/

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Amazon EMR

Amazon
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

Axonius
Azure Confidential Computing
Azure Data Lake
Azure Data Lake Storage
Bobsled
Datagaps ETL Validator
Guild AI
HStreamDB
Keepsake
KloudMate
LOGIQ
Mage Platform
Mage Sensitive Data Discovery
NLP Lab
Nucleon Database Master
Python
Qlik Staige
Tabular
Tonic Ephemeral
Zing Data

Integrations

Axonius
Azure Confidential Computing
Azure Data Lake
Azure Data Lake Storage
Bobsled
Datagaps ETL Validator
Guild AI
HStreamDB
Keepsake
KloudMate
LOGIQ
Mage Platform
Mage Sensitive Data Discovery
NLP Lab
Nucleon Database Master
Python
Qlik Staige
Tabular
Tonic Ephemeral
Zing Data

Integrations

Axonius
Azure Confidential Computing
Azure Data Lake
Azure Data Lake Storage
Bobsled
Datagaps ETL Validator
Guild AI
HStreamDB
Keepsake
KloudMate
LOGIQ
Mage Platform
Mage Sensitive Data Discovery
NLP Lab
Nucleon Database Master
Python
Qlik Staige
Tabular
Tonic Ephemeral
Zing Data
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