Data science fundamentals for Python and MongoDB. (2018)

• Record Type: Book
• Further Information: Note: David Paper.
• Authors: Paper, David
• Contents: Intro; Table of Contents; About the Author; About the Technical Reviewer; Acknowledgments; Chapter 1: Introduction; Python Fundamentals; Functions and Strings; Lists, Tuples, and Dictionaries; Reading and Writing Data; List Comprehension; Generators; Data Randomization; MongoDB and JSON; Visualization; Chapter 2: Monte Carlo Simulation and Density Functions; Stock Simulations; What-If Analysis; Product Demand Simulation; Randomness Using Probability and Cumulative Density Functions; Chapter 3: Linear Algebra; Vector Spaces; Vector Math; Matrix Math; Basic Matrix Transformations. Pandas Matrix Applications; Chapter 4: Gradient Descent; Simple Function Minimization (and Maximization); Sigmoid Function Minimization (and Maximization); Euclidean Distance Minimization Controlling for Step Size; Stabilizing Euclidean Distance Minimization with Monte Carlo Simulation; Substituting a NumPy Method to Hasten Euclidean Distance Minimization; Stochastic Gradient Descent Minimization and Maximization; Chapter 5: Working with Data; One-Dimensional Data Example; Two-Dimensional Data Example; Data Correlation and Basic Statistics; Pandas Correlation and Heat Map Examples. Various Visualization Examples; Cleaning a CSV File with Pandas and JSON; Slicing and Dicing; Data Cubes; Data Scaling and Wrangling; Chapter 6: Exploring Data; Heat Maps; Principal Component Analysis; Speed Simulation; Big Data; Twitter; Web Scraping; Index.
• Publisher Details: Berkeley, CA : Apress
• Publication Date: 2018
• Extent: 1 online resource (xiii, 214 pages), illustrations
• Subjects: 006.3/12; Computer science; Data mining; Python (Computer program language); COMPUTERS -- General; Data mining; Python (Computer program language); Computer Science; Big Data; Python; Computers -- Programming Languages -- Python; Programming & scripting languages: general; Big data; Python (Computer program language); Computers -- Database Management -- General; Databases; Electronic books
• Languages: English
• ISBNs: 9781484235973; 1484235975
• Related ISBNs: 9781484235966; 1484235967
• Notes: Note: Online resource; title from PDF title page (EBSCO, viewed May 17, 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.