Intermediate Python Skills

Format:

Book

Author/Creator:

Royal Statistical Society

Language:

English

Subjects (All):

Social sciences.

Physical Description:

Online course : (25 hr.)

Place of Publication:

London : SAGE Publishing 2020

Summary:

This course teaches the required skills to manipulate and visualize a variety of data types using Python. This course will help learners to: •Review essential elements of Python programming. •Understand data extraction and visualization techniques applied to social science research using Python. •Make appropriate decisions when dealing with and manipulating data taken from the web and APIs. MODULE ONE: OVERVIEW Introduction •Why the Intermediate Python course? •Course goal and structure. •Prerequisites. Installing Python •Anaconda for Windows and MAC. •PyCharm for Windows and MAC. •PRAW. •PIP. Functions and scripts •What is a function? •Creating a function. •Writing a script. •Using a function. Reading from the web and files •Getting data into Python from the web. •Opening and writing files. MODULE TWO: MANIPULATING DATA Pandas series •Defining a Series using a Dictionary. •Defining a Series using Lists. •Operating on elements of a series using Numpy. •Other methods of Series. Matplotlib series •Importing Matplotlib. •Types of plots in Series (line, histogram, box, horizontal box, density). •How to edit the plots in Matplotlib. Pandas DataFrames •Transforming data structures (lists, series, tuples and dictionary) in DataFrames. •How to access elements of the DataFrame. •Editing DataFrames. •Introduction the ILOC method. •Additional ways to access DataFrames. Matplotlib DataFrames •Types of plots in DataFrames (box, density, line, scatter). •Preparing the data for plotting. •Editing the data for plotting. MODULE THREE: EXTRACTING DATA Authentication •The definition of authentication. •The methods and process of authentication. •Using PRAW to access Reddit. Introduction to JSON •What is JSON? •JSON in Python. •Writing a JSON file. •Reading a JSON file. •Application: Websites that use JSON. •Extracting data from JSON API. Introduction to XML •What is XML and lxml? •Writing a XML file. •Reading a XML file. •Application: Websites that use XML. •Extracting data from XML API. Web scraping using HTML •What is HTML? •HTML Tags. •HTML Page Structure. Web scraping using BeautifulSoup4 •What is Web Scraping? •Scraping Rules. •Inspecting the Page. •BeautifulSoup4. •Application: Identity site for scraping. •Web Scraping. MODULE FOUR: PRACTICAL APPLICATION Planning a research task •Examine the research methodology and explore how Python can be used for a research task. 3-part structured activity: Data analysis challenge •Part 1: Data acquisition using reddit. •Part 2: Data examination using Pandas. •Part 3: Data visualization using Matplotlib. Conclusion •Wrapping up. What’s next?

ISBN:

1-5297-5431-3

OCLC:

1200116956