Efnisyfirlit

• Cover
• Introduction
  • About This Book
  • Foolish Assumptions
  • Icons Used in This Book
  • Beyond the Book
  • Where to Go from Here
• Part 1: Getting Started with Functional Programming
  • Chapter 1: Introducing Functional Programming
    • Defining Functional Programming
    • Considering Other Programming Paradigms
    • Using Functional Programming to Perform Tasks
    • Discovering Languages That Support Functional Programming
    • Finding Functional Programming Online
  • Chapter 2: Getting and Using Python
    • Working with Python in This Book
    • Obtaining Your Copy of Anaconda
    • Downloading the Datasets and Example Code
    • Creating a Python Application
    • Running the Python Application
    • Understanding the Use of Indentation
    • Adding Comments
    • Closing Jupyter Notebook
    • Getting Help with the Python Language
  • Chapter 3: Getting and Using Haskell
    • Working with Haskell in This Book
    • Obtaining and Installing Haskell
    • Testing the Haskell Installation
    • Compiling a Haskell Application
    • Using Haskell Libraries
    • Getting Help with the Haskell Language
• Part 2: Starting Functional Programming Tasks
  • Chapter 4: Defining the Functional Difference
    • Comparing Declarations to Procedures
    • Understanding How Data Works
    • Seeing a Function in Haskell
    • Seeing a Function in Python
  • Chapter 5: Understanding the Role of Lambda Calculus
    • Considering the Origins of Lambda Calculus
    • Understanding the Rules
    • Performing Reduction Operations
    • Creating Lambda Functions in Haskell
    • Creating Lambda Functions in Python
  • Chapter 6: Working with Lists and Strings
    • Defining List Uses
    • Creating Lists
    • Evaluating Lists
    • Performing Common List Manipulations
    • Understanding the Dictionary and Set Alternatives
    • Considering the Use of Strings
• Part 3: Making Functional Programming Practical
  • Chapter 7: Performing Pattern Matching
    • Looking for Patterns in Data
    • Understanding Regular Expressions
    • Using Pattern Matching in Analysis
    • Working with Pattern Matching in Haskell
    • Working with Pattern Matching in Python
  • Chapter 8: Using Recursive Functions
    • Performing Tasks More than Once
    • Understanding Recursion
    • Using Recursion on Lists
    • Passing Functions Instead of Variables
    • Defining Common Recursion Errors
  • Chapter 9: Advancing with Higher-Order Functions
    • Considering Types of Data Manipulation
    • Performing Slicing and Dicing
    • Mapping Your Data
    • Filtering Data
    • Organizing Data
  • Chapter 10: Dealing with Types
    • Developing Basic Types
    • Composing Types
    • Parameterizing Types
    • Dealing with Missing Data
    • Creating and Using Type Classes
• Part 4: Interacting in Various Ways
  • Chapter 11: Performing Basic I/O
    • Understanding the Essentials of I/O
    • Manipulating I/O Data
    • Using the Jupyter Notebook Magic Functions
    • Receiving and Sending I/O with Haskell
  • Chapter 12: Handling the Command Line
    • Getting Input from the Command Line
    • Accessing the Command Line in Haskell
    • Accessing the Command Line in Python
  • Chapter 13: Dealing with Files
    • Understanding How Local Files are Stored
    • Ensuring Access to Files
    • Interacting with Files
    • Manipulating File Content
    • Completing File-related Tasks
  • Chapter 14: Working with Binary Data
    • Comparing Binary to Textual Data
    • Using Binary Data in Data Analysis
    • Understanding the Binary Data Format
    • Working with Binary Data
    • Interacting with Binary Data in Haskell
    • Interacting with Binary Data in Python
  • Chapter 15: Dealing with Common Datasets
    • Understanding the Need for Standard Datasets
    • Finding the Right Dataset
    • Loading a Dataset
    • Manipulating Dataset Entries
• Part 5: Performing Simple Error Trapping
  • Chapter 16: Handling Errors in Haskell
    • Defining a Bug in Haskell
    • Understanding the Haskell-Related Errors
    • Fixing Haskell Errors Quickly
  • Chapter 17: Handling Errors in Python
    • Defining a Bug in Python
    • Understanding the Python-Related Errors
    • Fixing Python Errors Quickly
• Part 6: The Part of Tens
  • Chapter 18: Ten Must-Have Haskell Libraries
    • binary
    • Hascore
    • vect
    • vector
    • aeson
    • attoparsec
    • bytestring
    • stringsearch
    • text
    • moo
  • Chapter 19: Ten (Plus) Must-Have Python Packages
    • Gensim
    • PyAudio
    • PyQtGraph
    • TkInter
    • PrettyTable
    • SQLAlchemy
    • Toolz
    • Cloudera Oryx
    • funcy
    • SciPy
    • XGBoost
  • Chapter 20: Ten Occupation Areas that Use Functional Programming
    • Starting with Traditional Development
    • Going with New Development
    • Creating Your Own Development
    • Finding a Forward-Thinking Business
    • Doing Something Really Interesting
    • Developing Deep Learning Applications
    • Writing Low-Level Code
    • Helping Others in the Health Care Arena
    • Working as a Data Scientist
    • Researching the Next Big Thing
• Index
• About the Author
• Connect with Dummies
• End User License Agreement

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