Using Pandas DataReader to Access Online Data Sources in Python
Pandas DataReader is a library that allows data scientists to easily read data from a variety of sources into a … Read more
Requesting Data via REST APIs
Data scientists use APIs to request data from web-based servers. To do this, the data scientist would make a request using a specific URL and a set of parameters that specify the type of data being requested and any other relevant information. The server would then respond to the request by providing the data in a specified format, such as JSON. The data scientist can then use this data in their analysis, either by directly working with the data in its raw format, or by importing it into a data science tool or framework for further processing.
Streaming Tweets and Images via the Twitter API in Python
Twitter is a rich source of data that can be used to understand current and future trends. Because tweets often … Read more
Accessing Remote Data Sources via REST APIs in Python
REST APIs provide straightforward access to remote data sources. Data scientists should learn about REST APIs because APIs (Application Programming … Read more