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Python for Data Science, AI & Development

Working with Data in Python

  • Explain how Pandas use data frames.
  • Use Pandas for library and data analysis by using commands.
  • Read text files using Python libraries including open and with.
  • Use NumPy to create one-dimensional and two-dimensional arrays.
  • Write and save files in Python.

Pandas

  • loc vs. iloc

APIs, and Data Collection

  • Explain the use of the HTTP protocol using the Requests Library method.
  • Describe how the URL Request Response HTTP protocol works.
  • Learn to apply simple, open-source APIs.
  • Perform basic webscraping using Python.
  • Work with different file formats using Python.
  • Explain the difference between APIs and REST APIs.
  • Summarize how APIs receive and send information.

  • HTTP methods are a way of transmitting data over the internet We tell the Rest API’s what to do by sending a request. The request is usually communicated via an HTTP message.
  • The HTTP message usually contains a JSON file. This contains instructions for what operation we would like the service to perform.
  • This operation is transmitted to the webservice via the internet. The service performs the operation. In the similar manner, the webservice returns a response via an HTTP message, where the information is usually returned via a JSON file. This information is transmitted back to the client.

Python Cheat Sheet - Basics