Python data analytics : with Pandas, NumPy, and Matplotlib /: with Pandas, NumPy, and Matplotlib. ([2018])

• Record Type: Book
• Further Information: Note: Fabio Nelli.
• Authors: Nelli, Fabio
• Contents: Intro; Table of Contents; About the Author; About the Technical Reviewer; Chapter 1: An Introduction to Data Analysis; Data Analysis; Knowledge Domains of the Data Analyst; Computer Science; Mathematics and Statistics; Machine Learning and Artificial Intelligence; Professional Fields of Application; Understanding the Nature of the Data; When the Data Become Information; When the Information Becomes Knowledge; Types of Data; The Data Analysis Process; Problem Definition; Data Extraction; Data Preparation; Data Exploration/Visualization; Predictive Modeling; Model Validation; Deployment Quantitative and Qualitative Data AnalysisOpen Data; Python and Data Analysis; Conclusions; Chapter 2: Introduction to the Python World; Python-The Programming Language; Python-The Interpreter; Cython; Jython; PyPy; Python 2 and Python 3; Installing Python; Python Distributions; Anaconda; Enthought Canopy; Python(x, y); Using Python; Python Shell; Run an Entire Program; Implement the Code Using an IDE; Interact with Python; Writing Python Code; Make Calculations; Import New Libraries and Functions; Data Structure; Functional Programming; Indentation; IPython; IPython Shell The Jupyter ProjectJupyter QtConsole; Jupyter Notebook; PyPI-The Python Package Index; The IDEs for Python; Spyder; Eclipse (pyDev); Sublime; Liclipse; NinjaIDE; Komodo IDE; SciPy; NumPy; Pandas; matplotlib; Conclusions; Chapter 3: The NumPy Library; NumPy: A Little History; The NumPy Installation; Ndarray: The Heart of the Library; Create an Array; Types of Data; The dtype Option; Intrinsic Creation of an Array; Basic Operations; Arithmetic Operators; The Matrix Product; Increment and Decrement Operators; Universal Functions (ufunc); Aggregate Functions; Indexing, Slicing, and Iterating IndexingSlicing; Iterating an Array; Conditions and Boolean Arrays; Shape Manipulation; Array Manipulation; Joining Arrays; Splitting Arrays; General Concepts; Copies or Views of Objects; Vectorization; Broadcasting; Structured Arrays; Reading and Writing Array Data on Files; Loading and Saving Data in Binary Files; Reading Files with Tabular Data; Conclusions; Chapter 4: The pandas Library-An Introduction; pandas: The Python Data Analysis Library; Installation of pandas; Installation from Anaconda; Installation from PyPI; Installation on Linux; Installation from Source A Module Repository for WindowsTesting Your pandas Installation; Getting Started with pandas; Introduction to pandas Data Structures; The Series; Declaring a Series; Selecting the Internal Elements; Assigning Values to the Elements; Defining a Series from NumPy Arrays and Other Series; Filtering Values; Operations and Mathematical Functions; Evaluating Vales; NaN Values; Series as Dictionaries; Operations Between Series; The DataFrame; Defining a Dataframe; Selecting Elements; Assigning Values; Membership of a Value; Deleting a Column; Filtering; DataFrame from Nested dict
• Publisher Details: New York, NY : Apress
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 005.13/3; Computer science; Python (Computer program language); Data mining; COMPUTERS -- Programming Languages -- Python; Computers -- Database Management -- General; Computers -- Computer Science; Databases; Program concepts / learning to program; Python (Computer program language); Big data; Electronic data processing; Programming & scripting languages: general; Electronic books
• Languages: English
• ISBNs: 9781484239131
• Related ISBNs: 148423913X; 9781484239124
• Notes: Note: Online resource; title from PDF title page (EBSCO, viewed October 2, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.