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Posts by Radek Zítek

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About Radek Zítek
axios

Axios: The Go-To HTTP Client for JavaScript Developers

Posted by By Radek Zítek May 21, 2025Posted inFrontendNo Comments
Axios: The Go-To HTTP Client for JavaScript Developers
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alembic

Alembic: Keeping Your Python Database Schemas in Sync

Posted by By Radek Zítek May 21, 2025Posted inBackendNo Comments
Alembic is a powerful database migration tool for Python, created by the same author as SQLAlchemy.
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sqlalchemy

SQLAlchemy: Bridging Python and Databases with Elegance

Posted by By Radek Zítek May 21, 2025Posted inBackendNo Comments
SQLAlchemy stands as one of the most powerful and widely adopted SQL toolkits and Object Relational Mappers (ORMs) in the Python ecosystem.
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node.js

Node.js: Powering the Server-Side with JavaScript

Posted by By Radek Zítek May 21, 2025Posted inFrontendNo Comments
Node.js is an open-source, cross-platform JavaScript runtime environment that executes JavaScript code outside of a web browser.
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vuetify

Vuetify 3: Crafting Beautiful Vue.js Interfaces with Material Design

Posted by By Radek Zítek May 21, 2025Posted inFrontendNo Comments
Vuetify 3 stands as a leading UI component library for Vue.js, empowering developers to build rich, responsive, and visually appealing web applications with speed and precision.
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vue.js

Vue.js: The Progressive JavaScript Framework for Modern Web UIs

Posted by By Radek Zítek May 21, 2025Posted inFrontendNo Comments
Vue.js is a popular open-source JavaScript framework designed for building user interfaces (UIs) and single-page applications (SPAs).
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logfire

Pydantic Logfire: Simplified Observability for Python

Posted by By Radek Zítek May 20, 2025Posted inBackendNo Comments
Pydantic Logfire is an innovative observability solution designed to make it incredibly easy for Python developers to understand what's happening inside their applications.
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Pydantic

Pydantic: Robust data models. Zero boilerplate.

Posted by By Radek Zítek May 20, 2025Posted inBackendNo Comments
Pydantic is a Python library for data validation and settings management using Python type hints. It enforces type hints at runtime and provides user-friendly errors when data is invalid.
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