python-sql

python-sql

Python Software Foundation

About

Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.

About

Eclipse Ceylon is a language for writing large programs in teams. To learn more, read the 15 minute quick intro, before taking the tour of the language. The best way to try it out is to download the IDE and write some code. Then you can explore the modules in Ceylon Herd. Or you can try it online. This is a community project. Everything we produce is open source and all our work happens out in the open on GitHub and GitHub. Eclipse Ceylon's powerful flow-sensitive static type system catches many bugs while letting you express more, more easily: union and intersection types, tuples, function types, mixin inheritance, enumerated types, and reified generics. We spend more time reading other people's code than writing our own. Therefore, Eclipse Ceylon prioritizes readability, via a highly regular syntax, support for treelike structures, and elegant syntax sugar where appropriate.

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

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users and developers requiring a static compiler for both Python and Cython programming languages

Audience

DevOps teams looking for a Programming Language solution for writing large programs in teams

Audience

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

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

Support

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Phone Support
24/7 Live Support
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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

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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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

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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

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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

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Review this Software

Training

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cython
United States
cython.org

Company Information

Eclipse Ceylon
ceylon-lang.org

Company Information

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

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

Alternatives

Swift

Swift

Apple

Alternatives

Alternatives

waiting

waiting

Python Software Foundation

Categories

Categories

Categories

Categories

Integrations

Anaconda
C
C++
Domino Enterprise MLOps Platform
Fortran
Gensim
NumPy
PyCharm
Python
Typora
scikit-image

Integrations

Anaconda
C
C++
Domino Enterprise MLOps Platform
Fortran
Gensim
NumPy
PyCharm
Python
Typora
scikit-image

Integrations

Anaconda
C
C++
Domino Enterprise MLOps Platform
Fortran
Gensim
NumPy
PyCharm
Python
Typora
scikit-image

Integrations

Anaconda
C
C++
Domino Enterprise MLOps Platform
Fortran
Gensim
NumPy
PyCharm
Python
Typora
scikit-image
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