Apr 14, 2025 · 3.1.1. GET data for a specific entity. If you notice the URL, you will see the additional /posts at the end of the URL. This is how most APIs are designed; the /posts at the end of the URL represents the business entity posts.. You can imagine other entities in this (assuming blog posting website) application, such as /

Python provides some great tools not only to get data from REST APIs but also to build your own Python REST APIs. In this tutorial, you’ll learn: By using Python and REST APIs, you can retrieve, parse, update, and manipulate the data provided by any web service you’re interested in.

Nov 18, 2024 · In this hands-on guide, I’ll walk you through building a complete data pipeline using Python and PostgreSQL. By the end of this guide, you’ll know how to: Fetch data from APIs using Python’s requests library. Transform the data for efficient storage. Load it into a PostgreSQL database for further analysis.

Dec 25, 2024 · Learn how to automate API data ingestion with Python. Build an ETL pipeline to fetch, transform, and load API data into PostgreSQL or Redshift seamlessly.

May 14, 2024 · Learn how to build a robust data pipeline using Python, REST API, and Apache Airflow. Fetch weather data, store it in CSV and SQL data warehouses like Snowflake, Redshift, and BigQuery, and schedule incremental loads.

Jan 3, 2023 · In this article, we will build a data pipeline from an API source (pokeAPI) to a data warehouse (AWS Redshift) using Python + AWS. We will leverage the relationalize python package to do most...

Python, with its simplicity and extensive libraries, is a popular choice for building these APIs. Enter FastAPI, a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. This guide will walk you through the process of building a RESTful API using Python and FastAPI.

Sep 11, 2024 · Python has emerged as a favorite tool for building such pipelines due to its scripting simplicity, extensive libraries, powerful frameworks, and strong community support. This blog will explore how you can build a data pipeline python, including the options available for each step in the pipeline’s life cycle, tools, and frameworks, etc.

Apr 7, 2025 · A REST API (Representational State Transfer API) is a way for applications to communicate over the web using standard HTTP methods.It allows clients (such as web or mobile apps) to interact with a server by sending requests and receiving responses, typically in JSON format.. REST APIs follow a stateless architecture, meaning each request from a client to the server is independent and does not ...

Mar 17, 2025 · This guide will teach you to build a scalable data pipeline using Python, Apache Airflow for orchestration, Apache Spark for processing, and Docker for containerization. 2. Technical Background. ETL (Extract, Transform, Load): Common data pipeline pattern. Batch vs. Stream Processing: Processing data in batches vs. real-time streams.