Bash for Data Scientists

Name: Bash for Data Scientists | Get up and running with shell scripting with Bash
Brand: Mercury Learning & Information
Price: 67.99 EUR
Availability: OnlineOnly

Get up and running with shell scripting with Bash

Oswald Campesato(Autor*in)

Mercury Learning & Information (Verlag)

1. Auflage

Erschienen am 21. Dezember 2022

276 Seiten

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978-1-68392-972-7 (ISBN)

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Inhalt

Intro
Bash for Data Scientists
CONTENTS
PREFACE
WHAT IS THE GOAL?
IS THIS BOOK IS FOR ME AND WHAT WILL I LEARN?
HOW WERE THE CODE SAMPLES CREATED?
WHAT YOU NEED TO KNOW FOR THIS BOOK
WHICH BASH COMMANDS ARE EXCLUDED?
HOW DO I SET UP A COMMAND SHELL?
WHAT ARE THE "NEXT STEPS" AFTER FINISHING THIS BOOK?
CHAPTER 1 INTRODUCTION
WHAT IS UNIX?
Available Shell Types
WHAT IS BASH?
Getting Help for Bash Commands
Navigating Around Directories
The history Command
LISTING FILENAMES WITH THE LS COMMAND
DISPLAYING CONTENTS OF FILES
The cat Command
The head and tail Commands
The Pipe Symbol
The fold Command
FILE OWNERSHIP: OWNER, GROUP, AND WORLD
HIDDEN FILES
HANDLING PROBLEMATIC FILENAMES
WORKING WITH ENVIRONMENT VARIABLES
The env Command
Useful Environment Variables
Setting the PATH Environment Variable
Specifying Aliases and Environment Variables
FINDING EXECUTABLE FILES
THE printf COMMAND AND THE echo COMMAND
THE cut COMMAND
THE echo COMMAND AND WHITESPACES
COMMAND SUBSTITUTION ("BACK TICK")
THE PIPE SYMBOL AND MULTIPLE COMMA
USING A SEMICOLON TO SEPARATE COMMANDS
THE paste COMMAND
Inserting Blank Lines with the paste Command
A SIMPLE USE CASE WITH THE paste COMMAND
A SIMPLE USE CASE WITH cut AND paste COMMANDS
WORKING WITH META CHARACTERS
WORKING WITH CHARACTER CLASSES
WHAT ABOUT ZSH?
Switching between bash and zsh
Configuring zsh
SUMMARY
CHAPTER 2 FILES AND DIRECTORIES
CREATE, COPY, REMOVE, AND MOVE FILES
Creating Files
Copying Files
Copy Files with Command Substitution
Deleting Files
Moving Files
THE BASENAME, DIRNAME, AND FILE COMMANDS
THE wc COMMAND
THE more COMMAND AND THE less COMMAND
THE head COMMAND
THE tail COMMAND
FILE COMPARISON COMMANDS
THE PARTS OF A FILENA
WORKING WITH FILE PERMISSIONS
The chmod Command
The chown Command
The chgrp Command
The umask and ulimit Commands
WORKING WITH DIRECTORIES
Absolute and Relative Directories
Absolute and Relative Path Names
Creating Directories
Removing Directories
Changing Directories
Renaming Directories
USING QUOTE CHARACTERS
STREAMS AND REDIRECTION COMMANDS
METACHARACTERS AND CHARACTER CLASSES
Digits and Characters
Working with "^" and "\" and "!"
FILENAMES AND METACHARACTERS
SUMMARY
CHAPTER 3 USEFUL COMMANDS
THE join COMMAND
THE fold COMMAND
THE split COMMAND
THE sort COMMAND
THE uniq COMMAND
HOW TO COMPARE FILES
THE od COMMAND
THE tr COMMAND
A SIMPLE USE CASE
THE find COMMAND
THE tee COMMAND
FILE COMPRESSION COMMANDS
The tar command
The cpio Command
The gzip and gunzip Commands
The bunzip2 Command
The zip Command
COMMANDS FOR zip FILES AND bz FILES
INTERNAL FIELD SEPARATOR (IFS)
DATA FROM A RANGE OF COLUMNS IN A DATASET
WORKING WITH UNEVEN ROWS IN DATASETS
THE alias COMMAND
SUMMARY
CHAPTER 4 CONDITIONAL LOGIC AND LOOPS
ARITHMETIC OPERATIONS AND OPERATORS
WORKING WITH ARRAYS
ARRAYS AND TEXT FILES
WORKING WITH VARIABLES
Assigning Values to Variables
WORKING WITH OPERATORS FOR STRINGS AND NUMBERS
THE read COMMAND FOR USER INPUT
THE test COMMAND FOR VARIABLES, FILES, AND DIRECTORIES
Relational Operators
Boolean Operators
String Operators
File Test Operators
CONDITIONAL LOGIC WITH if/else STATEMENTS
THE case/esac STATEMENT
ARITHMETIC OPERATORS AND COMPARISONS
WORKING WITH STRINGS IN SHELL SCRIPTS
Working with Strings
WORKING WITH LOOPS
Using a for loop
WORKING WITH NESTED LOOPS
USING A while LOOP
THE while, case, AND if/elif/fi STATEMENTS
USING AN UNTIL LOOP
USER-DEFINED FUNCTIONS
CREATING A SIMPLE MENU FROM SHELL COMMANDS
SUMMARY
CHAPTER 5 PROCESSING DATASETS WITH GREPAND SED
WHAT IS THE grep COMMAND?
METACHARACTERS AND THE grep COMMAND
ESCAPING METACHARACTERS WITH THE grep COMMAND
USEFUL OPTIONS FOR THE grep COMMAND
Character Classes and the grep Command
WORKING WITH THE -C OPTION IN grep
MATCHING A RANGE OF LINES
USING BACK REFERENCES IN THE grep COMMAND
FINDING EMPTY LINES IN DATASETS
USING KEYS TO SEARCH DATASETS
THE BACKSLASH CHARACTER AND THE grep COMMAND
MULTIPLE MATCHES IN THE GREP COMMAND
THE grep COMMAND AND THE xargs COMMAND
Searching zip Files for a String
CHECKING FOR A UNIQUE KEY VALUE
Redirecting Error Messages
THE egrep COMMAND AND fgrep COMMAND
Displaying "Pure" Words in a Dataset with egrep
Redirecting Error Messages
THE egrep COMMAND AND fgrep COMMAND
Displaying "Pure" Words in a Dataset with egrep
The fgrep Command
DELETE ROWS WITH MISSING VALUES
A SIMPLE USE CASE
WHAT IS THE sed COMMAND?
The sed Execution Cycle
MATCHING STRING PATTERNS USING sed
SUBSTITUTING STRING PATTERNS USING sed
Replacing Vowels from a String or a File
Deleting Multiple Digits and Letters from a String
SEARCH AND REPLACE WITH sed
DATASETS WITH MULTIPLE DELIMITERS
USEFUL SWITCHES IN sed
WORKING WITH DATASETS
Printing Lines
Character Classes and sed
Removing Control Characters
COUNTING WORDS IN A DATASET
BACK REFERENCES IN sed
ONE-LINE sed COMMANDS
POPULATE MISSING VALUES WITH THE sed COMMAND
A DATASET WITH 1,000,000 ROWS
Numeric Comparisons
Counting Adjacent Digits
Average Support Rate
SUMMARY
CHAPTER 6 PROCESSING DATASETS WITH AWK
THE awk COMMAND
Built-in Variables that Control awk
How Does the awk Command Work?
ALIGNING TEXT WITH THE printf COMMAND
CONDITIONAL LOGIC AND CONTROL STATEMENTS
The while Statement
A for loop in awk
A for loop with a break Statement
The next and continue Statements
DELETING ALTERNATE LINES IN DATASETS
MERGING LINES IN DATASETS
Printing File Contents as a Single Line
Joining Groups of Lines in a Text File
Joining Alternate Lines in a Text File
MATCHING WITH METACHARACTERS AND CHARACTER SETS
PRINTING LINES USING CONDITIONAL LOGIC
SPLITTING FILENAMES WITH awk
WORKING WITH POSTFIX ARITHMETIC OPERATORS
NUMERIC FUNCTIONS IN awk
ONE-LINE awk COMMANDS
USEFUL SHORT awk SCRIPTS
PRINTING THE WORDS IN A TEXT STRING IN awk
COUNT OCCURRENCES OF A STRING IN SPECIFIC ROWS
PRINTING A STRING IN A FIXED NUMBER OF COLUMNS
PRINTING A DATASET IN A FIXED NUMBER OF COLUMNS
ALIGNING COLUMNS IN DATASETS
ALIGNING COLUMNS AND MULTIPLE ROWS IN DATASETS
DISPLAYING A SUBSET OF COLUMNS IN A TEXT FILE
SUBSETS OF COLUMN-ALIGNED ROWS IN DATASETS
COUNTING WORD FREQUENCY IN DATASETS
DISPLAYING ONLY "PURE" WORDS IN A DATASET
DELETE ROWS WITH MISSING VALUES
WORKING WITH MULTI-LINE RECORDS IN AWK
A SIMPLE USE CASE
ANOTHER USE CASE
A DATASET WITH 1,000,000 ROWS
Counting Adjacent Digits
Average Support Rate
SUMMARY
CHAPTER 7 PROCESSING DATASETS (PANDAS)
PREREQUISITES FOR THIS CHAPTER
ANALYZING MISSING DATA
Causes of Missing Data
PANDAS, CSV FILES, AND MISSING DATA
Single Column CSV Files
Two Column CSV Files
MISSING DATA AND IMPUTATION
Counting Missing Data Values
Drop Redundant Columns
Remove Duplicate Rows
Display Duplicate Rows
Uniformity of Data Values
Too Many Missing Data Values
Categorical Data
Data Inconsistency
Mean Value Imputation
Random Value Imputation
Multiple Imputation
Matching and Hot Deck Imputation
Is a Zero Value Valid or Invalid?
SKEWED DATASETS
CSV FILES WITH MULTI-ROW RECORDS
COLUMN SUBSET AND ROW SUBRANGE OF THE TITANIC CSV FILE
DATA NORMALIZATION
Assigning Classes to Data
Other Data Cleaning Tasks
DeepChecks and Data Validation
HANDLING CATEGORICAL DATA
Processing Inconsistent Categorical Data
Mapping Categorical Data to Numeric Values
Mapping Categorical Data to One Hot Encoded Values
WORKING WITH CURRENCY
WORKING WITH DATES
Find Missing Dates
Find Unique Dates
Switch Date Formats
WORKING WITH IMBALANCED DATASETS
Data Sampling Techniques
Removing Noisy Data
Cost-sensitive Learning
Detecting Imbalanced Data
Rebalancing Datasets
Specify stratify in Data Splits
WHAT IS SMOTE?
DATA WRANGLING
Data Transformation: What Does This Mean?
A DATASET WITH 1,000,000 ROWS
Dataset Details
Numeric Comparisons
Counting Adjacent Digits
SAVING CSV DATA TO XML, JSON, AND HTML FILES
SUMMARY
CHAPTER 8 NOSQL, SQLITE, AND PYTHON
NON-RELATIONAL DATABASE SYSTEMS
Advantages of Non-relational Databases
WHAT IS NOSQL?
What is NewSQL?
RDBMS VERSUS NOSQL: WHICH ONE TO USE?
Good Data Types for NoSQL
Some Guidelines for Selecting a Database
NoSQL Databases
WHAT IS MONGODB?
Features of MongoDB
Installing MongoDB
Launching MongoDB
USEFUL MONGO APIS
Metacharacters in Mongo Queries
MONGODB COLLECTIONS AND DOCUMENTS
Document Format in MongoDB
CREATE A MONGODB COLLECTION
WORKING WITH MONGODB COLLECTIONS
Find All Android Phones
Find All Android Phones in 2018
Insert a New Item (Document)
Update an Existing Item (Document)
Calculate the Average Price for Each Brand
Calculate the Average Price for Each Brand in 2019
Import Data with mongoimport
WHAT IS FUGUE?
WHAT IS COMPASS?
WHAT IS PYMONGO?
MYSQL, SQLALCHEMY, AND PANDAS
What is SQLAlchemy?
Read MySQL Data via SQLAlchemy
EXPORT SQL DATA FROM PANDAS TO EXCEL
MYSQL AND CONNECTOR/PYTHON
Establishing a Database Connection
Creating a Database Table
Reading Data from a Database Table
WHAT IS SQLITE?
SQLite Features
SQLite Installation
SQLiteStudio Installation
DB Browser for SQLite Installation
SQLiteDict (Optional)
WHAT IS TIMESCALEDB?
Install Timescaledb (Macbook)
Setting Up the TimescaleDB Extension
The rides Table
The Parallel Copy Command
Data Analysis
LARGE SCALE DATA IMPUTATION
SUMMARY
INDEX

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