Functional Programming For Dummies by Mueller, John Paul -- Read -- Imperial Library of Trantor

Index

Cover Table of Contents 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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