Tabla de Contenidos: “…Example - simple quiz -- Binary search trees -- Implementation -- Node -- Tree -- Lookup -- Insertion -- Removal -- Example - BST visualization -- AVL trees -- Implementation -- Example - keep the tree balanced -- Red-black trees -- Implementation -- Example - RBT-related features -- Binary heaps -- Implementation -- Example - heap sort -- Binomial heaps -- Fibonacci heaps -- Summary -- Chapter 6: Exploring Graphs -- Concept of graphs -- Applications -- Representation -- Adjacency list -- Adjacency matrix -- Implementation -- Node -- Edge -- Graph -- Example - undirected and unweighted edges -- Example - directed and weighted edges -- Traversal -- Depth-first search -- Breadth-first search -- Minimum spanning tree -- Kruskal's algorithm -- Prim's algorithm -- Example - telecommunication cable -- Coloring -- Example - voivodeship map -- Shortest path -- Example - game map -- Summary -- Chapter 7: Summary -- Classification of data structures -- Diversity of applications -- Arrays -- Lists -- Stacks -- Queues -- Dictionaries -- Sets -- Trees -- Heaps -- Graphs -- The last word -- Other Books You May Enjoy -- Index…”

“…What You Will Learn Learn how to set up your lab with Kali Linux Understand the core concepts of web penetration testing Get to know the tools and techniques you need to use with Kali Linux Identify the difference between hacking a web application and network hacking Expose vulnerabilities present in web servers and their applications using server-side attacks Understand the different techniques used to identify the flavor of web applications See standard attacks such as exploiting cross-site request forgery and cross-site scripting flaws Get an overview of the art of client-side attacks Explore automated attacks such as fuzzing web applications In Detail Web Penetration Testing with Kali Linux - Third Edition shows you how to set up a lab, helps you understand the nature and mechanics of attacking websites, and explains classical attacks in great depth. …”

“…Explore the world of data science from scratch with Julia by your side About This Book An in-depth exploration of Julia's growing ecosystem of packages Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn about deep learning using Mocha.jl and give speed and high performance to data analysis on large data sets Who This Book Is For This book is aimed at data analysts and aspiring data scientists who have a basic knowledge of Julia or are completely new to it. …”

“…What you will learn Get to grips with scraping a website to detect changes Search and process raw sales files to aggregate information in spreadsheets Explore techniques to extract information from an Excel spreadsheet and generate exciting reports with graphs Discover the techniques required to generate random, print-friendly codes to be used as single-use coupons Automatically generate a marketing campaign, contacting the recipients over different channels Identify and implement precise solutions Who this book is for The Python Automation Cookbook is for you if you are a developer or anyone who wants to automate monotonous manual tasks related to fields such as finance, sales, and HR, among others. …”

“…Explore functional programming and discover new ways of thinking about code. …”

Tabla de Contenidos:

Tabla de Contenidos: “…Notes Chapter 02: Data Management Exploration and Production Value Proposition Data Management Platform Array of Data Repositories Structured Data and Unstructured Data Extraction, Transformation, and Loading Processes Big Data Big Analytics Standard Data Sources Case Study: Production Data Quality Control Framework Best Practices Notes Chapter 03: Seismic Attribute Analysis Exploration and Production Value Propositions Time-Lapse Seismic Exploration Seismic Attributes Reservoir Characterization Reservoir Management Seismic Trace Analysis Case Studies Reservoir Properties defined by Seismic Attributes Notes Chapter 04 Reservoir Characterization and Simulation Exploration and Production Value Propositions Exploratory Data Analysis Reservoir Characterization Cycle Traditional Data Analysis Reservoir Simulation Models Case Studies Notes Chapter 05: Drilling and Completion Optimization Exploration and Production Value Propositions Workflow One: Mitigation of Non-Productive Time Workflow Two: Drilling Parameter Optimization 5.5 Case Studies: Steam Assisted Gravity Drainage Completion Notes Chapter 06: Reservoir Management Exploration and Production Value Propositions Digital Oilfield of the Future Analytical Centers of Excellence Analytical Workflows: Best Practices Case Studies Notes Chapter 07: Production Forecasting Exploration and Production Value Propositions Web-Based Decline Curve Analysis Solution Unconventional Reserves Estimation Case Study: Oil Production Prediction for Infill Well Notes Chapter 08: Production Optimization Exploration and Production Value Propositions Case Studies Notes Chapter 09: Exploratory and Predictive Data Analysis Exploration and Production Value Propositions EDA Components EDA Statistical Graphs and Plots Ensemble Segmentations Data Visualization Case Studies Notes Chapter 10: Big Data: Structured and Unstructured Exploration and Production Value Propositions Hybrid Expert and Data Driven System Case Studies Multivariate Geostatistics Big Data Workflows Integration of Soft Computing Techniques Notes Glossary About the Author Index …”

“…Explore the full potential of NHibernate to build robust data access code…”

“…Explore and crack the OOP code in Python, JavaScript, and C#…”