Using Python to Access Web Data

Start Date: 07/05/2020

Course Type: Common Course

Course Link: https://www.coursera.org/learn/python-network-data

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About Course

This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.

Course Syllabus

In this section you will install Python and a text editor. In previous classes in the specialization this was an optional assignment, but in this class it is the first requirement to get started. From this point forward we will stop using the browser-based Python grading environment because the browser-based Python environment (Skulpt) is not capable of running the more complex programs we will be developing in this class.

Deep Learning Specialization on Coursera

Course Introduction

Using Python to Access Web Data This 1-week, accelerated online class teaches learners how to use Python to access and manipulate the huge variety of web data available online. The course focuses on the basics of using Python within a web server environment, as well as the use of popular package management tools such as yum and apt-get to automate tasks in the background. We cover such topics as retrieving content from sites, implementing reverse engineering, and parsing and manipulation of webpages. We will also discuss how to use Python to implement some of the common web application programming models, such as application programming interfaces (APIs), and how these can provide a reliable interface for web applications to the Python interpreter. Finally, we cover basic web server configuration topics such as caching, indexing, and indexing of webpages. This is the third and final course in the Python 3 Programming Specialization. The course assumes prior knowledge of programming in Python 3. A basic understanding of Python is assumed, but no prior programming experience is needed.Instructions on Using Python in a Virtual Machine Python Package Management Accessing & Manipulating Web Pages Using Python within a Web Server Web Analytics: Exploring, Predicting & Using the Data An introduction to data analytics and how to use it within a web analytics environment. This course will cover the fundamental techniques for web analytics, including data mining, machine learning, and probabilistic machine learning methods

Course Tag

Json Xml Python Programming Web Scraping

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