For this chapter, there should be just one project folder containing process_large_data.py, the Python code for the second demonstration. The project folder should also contain a data folder containing the Chapter 9 dataset.
- Preface
- Programming with Data
- Introduction to Programming in Python
- Reading, Exploring, and Modifying Data - Part I
- External resources
- Logistical overview
- Introducing a basic data wrangling work flow
- Introducing the JSON file format
- Opening and closing a file in Python using file I/O
- Reading the contents of a file
- Exploring the contents of a data file
- Modifying a dataset
- Outputting the modified data to a new file
- Specifying input and output file names in the Terminal
- Summary
- Reading, Exploring, and Modifying Data - Part II
- Logistical overview
- Understanding the CSV format
- Introducing the CSV module
- Using the CSV module to read CSV data
- Using the CSV module to write CSV data
- Using the pandas module to read and process data
- Handling non-standard CSV encoding and dialect
- Understanding XML
- Using the XML module to parse XML data
- Summary
- Manipulating Text Data - An Introduction to Regular Expressions
- Logistical overview
- Understanding the need for pattern recognition
- Introducting regular expressions
- Writing and using a regular expression
- Special characters
- Matching whitespace
- Matching the start of string
- Matching the end of a string
- Matching a range of characters
- Matching any one of several patterns
- Matching a sequence instead of just one character
- Putting patterns together
- Extracting a pattern from a string
- The regex split() function
- Python regex documentation
- Looking for patterns
- Quantifying the existence of patterns
- Extracting patterns
- Summary
- Cleaning Numerical Data - An Introduction to R and RStudio
- Simplifying Data Manipulation with dplyr
- Getting Data from the Web
- Working with Large Datasets
File system setup
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.