Here you’ll find everything related to API tutorials, whether it’s requesting price data from various crypto exchanges (for example, coinbase API or the gate.io API) or broader explanations on how to access remote data via REST APIs.
REST APIs provide straightforward access to remote data sources. Data scientists should learn about REST APIs because APIs (Application Programming Interfaces) are an important way for data scientists to access data from other sources. By using REST APIs, data scientists can access data from a wide range of sources, including databases, web services, and other applications.
In a previous article, we looked at the value proposition of generative AI and ChatGPT (What is the Business Value of OpenAI’s GPT Models (ChatGPT)?). A standout feature of ChatGPT is its ability to write in different styles and tones. Whether you’re aiming for a professional message, a friendly vibe, a sprinkle of humor and … Read more
In this article, we will explore how to automate the creation of AI-generated art by integrating DALL-E with ChatGPT using the respective APIs in Python. ChatGPT, the state-of-the-art language model developed by OpenAI, has recently made waves in the tech community for its exceptional language abilities, such as code generation, prompt answering, and text completion. … Read more
ChatGPT, developed by San Francisco-based OpenAI, is a revolutionary AI chatbot that uses artificial intelligence to generate coherent responses to user inquiries. Unlike traditional search engines, ChatGPT uses artificial intelligence to generate coherent responses to user inquiries rather than providing standard answers. The results are surprisingly good and have created a massive worldwide sensation. Many … Read more
Pandas DataReader is a library that allows data scientists to easily read data from a variety of sources into a Pandas DataFrame. This is especially useful for accessing data that resides outside of their local development environment and needs to be accessed via APIs. The Pandas DataReader provides functions for loading data from various online … Read more
This tutorial develops a Twitter bot in Python that will generate automated trading signals. The bot will pull real-time price data on various cryptocurrencies (Bitcoin, Ethereum, Doge, etc.) from the crypto exchange Gate.io and analyze it using predefined rules. Whenever the bot detects a relevant price change, it automatically posts a tweet via Twitter. Simple … Read more
In this tutorial, we will demonstrate how to use the Gate.io spot market API to stream cryptocurrency prices in real-time using Python. Streaming prices is crucial for implementing use cases such as analyzing an incoming stream of price data in real-time for generating trading signals or conducting price analytics. One of the benefits of using … Read more
In a previous article, we have shown how to retrieve social media data via the Twitter API in Python. However, we can do many more cool things with the Twitter API. Another cool thing is interacting with the Twitter user account and posting automated tweets. This article shows how this works. We will use the … Read more
You can do various things with cryptocurrency price data, such as creating forecasting models, illustrating historical prices, or performing chart analysis. But first, you need to get hold of the data. Nowadays, several APIs provide access to cryptocurrency price data. One of the most important and trusted sources is Coinmarketcap.com. The website offers multiple API … Read more
Twitter is a rich source of data that can be used to understand current and future trends. Because tweets often include hashtags, they can be easily linked to specific contexts such as political discussions or financial instruments. This makes Twitter a valuable tool for collecting and analyzing data. In this article, we’ll demonstrate how to … Read more
REST APIs provide straightforward access to remote data sources. Data scientists should learn about REST APIs because APIs (Application Programming Interfaces) are an important way for data scientists to access data from other sources. By using REST APIs, data scientists can access data from a wide range of sources, including databases, web services, and other … Read more
