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What is PostgreSQL Data Access Components?

PostgreSQL stands out for its exceptional performance and vast potential. The PostgreSQL Data Access Components (PgDAC) is a suite of tools designed to facilitate seamless connectivity to PostgreSQL through C++Builder and Delphi. Additionally, it supports Lazarus and Free Pascal for both 32-bit and 64-bit systems. PgDAC was developed to empower programmers to build efficient, faster, and cleaner applications for PostgreSQL databases without the necessity of additional libraries. It serves as a viable alternative to conventional PostgreSQL connectivity options, providing a more effective solution than the typical dbExpress drivers and the Borland Database Engine. With PgDAC, developers can access PostgreSQL directly, eliminating the need for the PostgreSQL client. Furthermore, PgDAC enables developers to enhance their database applications by leveraging the complete range of features provided by PostgreSQL, ultimately leading to more robust and responsive software solutions. This flexibility makes PgDAC an invaluable resource for modern database application development.

What is NumPy?

Quick and versatile, the principles of vectorization, indexing, and broadcasting in NumPy have established themselves as the standard for modern array computations. This robust library offers a comprehensive suite of mathematical functions, random number generation tools, linear algebra operations, Fourier transformations, and much more. NumPy's compatibility with a wide range of hardware and computing platforms allows it to work effortlessly with distributed systems, GPU libraries, and sparse array structures. At its foundation, NumPy is constructed with highly optimized C code, enabling users to benefit from the speed typical of compiled languages while still enjoying the flexibility provided by Python. The intuitive syntax of NumPy enhances its user-friendliness and efficiency for programmers of all levels and expertise. By merging the computational power of languages such as C and Fortran with Python’s approachability, NumPy streamlines complex processes, leading to solutions that are both clear and elegant. As a result, this library equips users to confidently and easily address a diverse array of numerical challenges, making it an essential tool in the world of data science and numerical analysis. Furthermore, the active community around NumPy continuously contributes to its development, ensuring that it remains relevant and powerful in the face of evolving computational needs.

Media

Media

Integrations Supported

3LC
ADO.NET Data Providers
Amazon Aurora
Azure SQL Database
C++Builder
Coiled
Cython
Dash
Gensim
JAX
MPI for Python (mpi4py)
Microsoft 365
Oracle Cloud Infrastructure
PyCharm
Unify AI
Visual Studio
Visual Studio Code
Yandex Data Proc
imageio
scikit-learn

Integrations Supported

3LC
ADO.NET Data Providers
Amazon Aurora
Azure SQL Database
C++Builder
Coiled
Cython
Dash
Gensim
JAX
MPI for Python (mpi4py)
Microsoft 365
Oracle Cloud Infrastructure
PyCharm
Unify AI
Visual Studio
Visual Studio Code
Yandex Data Proc
imageio
scikit-learn

API Availability

Has API

API Availability

Has API

Pricing Information

$199.95 per year
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Devart

Date Founded

1997

Company Location

Czech Republic

Company Website

www.devart.com/pgdac/

Company Facts

Organization Name

NumPy

Company Website

numpy.org

Categories and Features

Categories and Features

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