Data File Access using Python
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | SRT | Size: 1.80 GB | Duration: 5h 32m

What you'll learn
How to use Python to access data stored in text files in a variety of common formats.
How to read and write comma-separated value (CSV) files using both the Python Standard Library and pandas.
How to read and write eXtensible Markup Language (XML) files using the Python Standard Library.
How to read and write jаvascript Object Notation (JSON) files using the Python Standard Library.
How to use standard Python features to process data retrieved from data files.
How to set up a development environment to write data-access Python code.
How to process JSON data received from an API.
Requirements
Good knowledge of Python, including common datatypes, loops, conditional statements, functions, classes, comprehensions, modules and code syntax.
Access to a Windows, Linux or MacOS machine for exercises.
Description
This course is designed for anyone with a good grounding in Python who wants to be able to work with data from CSV, XML or JSON files. We'll cover:

Reading & writing CSV, XML and JSON files using the Python Standard Library

Reading & writing CSV files using pandas

Manipulating the data you've read in from these files

Getting JSON data from APIs

We will be covering these topics in lecture/demonstrations, which are followed by coding exercises and assignments to help you to solidify your learning.

Who this course is for:
Python developers who want to learn how to access data from a range of file types.

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