Tabla de Contenidos: “…-- #1 Finding Programs in the PATH -- The Code -- How It Works -- Running the Script -- The Results -- Hacking the Script -- #2 Validating Input: Alphanumeric Only -- The Code -- How It Works -- Running the Script -- The Results -- Hacking the Script -- #3 Normalizing Date Formats -- The Code -- How It Works -- Running the Script -- The Results -- Hacking the Script -- #4 Presenting Large Numbers Attractively -- The Code -- How It Works -- Running the Script -- The Results -- Hacking the Script -- #5 Validating Integer Input -- The Code -- How It Works -- Running the Script -- The Results -- Hacking the Script -- #6 Validating Floating-Point Input -- The Code -- How It Works -- Running the Script -- The Results -- Hacking the Script -- #7 Validating Date Formats -- The Code -- How It Works -- Running the Script -- The Results -- Hacking the Script -- #8 Sidestepping Poor echo Implementations -- The Code -- Running the Script -- The Results -- Hacking the Script -- #9 An Arbitrary-Precision Floating-Point Calculator -- The Code -- How It Works -- Running the Script -- The Results -- #10 Locking Files -- The Code -- How It Works -- Running the Script -- The Results -- Hacking the Script -- #11 ANSI Color Sequences -- The Code…”

Tabla de Contenidos:

Tabla de Contenidos: “…Considering the Off-the-Shelf Cross- Platform Scientific Distributions -- Getting Continuum Analytics Anaconda -- Getting Enthought Canopy Express -- Getting WinPython -- Installing Anaconda on Windows -- Installing Anaconda on Linux -- Installing Anaconda on Mac OS X -- Downloading the Datasets and Example Code -- Using Jupyter Notebook -- Defining the code repository -- Understanding the datasets used in this book -- Chapter 4 Working with Google Colab -- Defining Google Colab -- Understanding what Google Colab does -- Considering the online coding difference -- Using local runtime support -- Getting a Google Account -- Creating the account -- Signing in -- Working with Notebooks -- Creating a new notebook -- Opening existing notebooks -- Saving notebooks -- Downloading notebooks -- Performing Common Tasks -- Creating code cells -- Creating text cells -- Creating special cells -- Editing cells -- Moving cells -- Using Hardware Acceleration -- Executing the Code -- Viewing Your Notebook -- Displaying the table of contents -- Getting notebook information -- Checking code execution -- Sharing Your Notebook -- Getting Help -- Part 2 Getting Your Hands Dirty with Data -- Chapter 5 Understanding the Tools -- Using the Jupyter Console -- Interacting with screen text -- Changing the window appearance -- Getting Python help -- Getting IPython help -- Using magic functions -- Discovering objects -- Using Jupyter Notebook -- Working with styles -- Restarting the kernel -- Restoring a checkpoint -- Performing Multimedia and Graphic Integration -- Embedding plots and other images -- Loading examples from online sites -- Obtaining online graphics and multimedia -- Chapter 6 Working with Real Data -- Uploading, Streaming, and Sampling Data -- Uploading small amounts of data into memory -- Streaming large amounts of data into memory…”

Tabla de Contenidos: “…Sqoop -- Getting Sqoop -- Sqoop Connectors -- A Sample Import -- Text and Binary File Formats -- Generated Code -- Additional Serialization Systems -- Imports: A Deeper Look -- Controlling the Import -- Imports and Consistency -- Incremental Imports -- Direct-Mode Imports -- Working with Imported Data -- Imported Data and Hive -- Importing Large Objects -- Performing an Export -- Exports: A Deeper Look -- Exports and Transactionality -- Exports and SequenceFiles -- Further Reading -- Chapter 16. …”

Tabla de Contenidos: “…Day Operations Scenarios 71 -- 2.4.3 Large Emergency/Public Events 73 -- 2.4.4 Disaster Scenarios 76 -- References 80 -- 3 Future Mobile Broadband PPDR Communications Systems 81 -- 3.1 Paradigm Change for the Delivery of PPDR Broadband Communications 81.…”

Tabla de Contenidos: “…-- Experiments, trials, events, and sample spaces -- Sample spaces and probability -- Compound Events -- Union and intersection -- Intersection, again -- Conditional Probability -- Working with the probabilities -- The foundation of hypothesis testing -- Large Sample Spaces -- Permutations -- Combinations -- R Functions for Counting Rules -- Random Variables: Discrete and Continuous -- Probability Distributions and Density Functions -- The Binomial Distribution -- The Binomial and Negative Binomial in R -- Binomial distribution -- Negative binomial distribution -- Hypothesis Testing with the Binomial Distribution -- More on Hypothesis Testing: R versus Tradition -- Chapter 12 Probability Meets Regression: Logistic Regression -- Getting the Data -- Doing the Analysis -- Visualizing the Results…”

Tabla de Contenidos: “…Budgeting for a Better Bottom Line -- Brushing Up on Budgeting Basics -- Seeing the master budget and its component parts -- Why budgeting is important -- Considering the costs and benefits of data collection -- Leveraging AI and data analytics for effective budgeting -- Planning strategically -- Planning How to Plan: Factors That Impact Your Budgeting Process -- Experience counts -- Timing is everything -- People get you headed in the right direction -- Sales projections pay off -- The Nuts and Bolts (and Washers) of Budgeting -- Understanding the budgeting financials -- Reviewing revenue and production budgets -- Budgeting with Cash Accounting or Accrual Accounting -- Cash basis accounting: Using your checkbook to budget -- I accrue, you accrue, we all accrue with accrual accounting -- Budgeting to Produce the Income Statement and Balance Sheet -- The well-balanced balance sheet -- The incredible income statement -- Chapter 7 Constant Change: Variance Analysis -- Variance Analysis and Budgeting -- Using management by exception to recognize large variances -- Seeing the problem in using a static budget -- Opting for a flexible budget -- Investigating budget variances -- Analyzing in Material Price and Efficiency Variances -- Applying price variances to direct materials -- Applying efficiency variances to direct materials -- Implementing price variances for direct labor -- Sizing up efficiency variances for direct labor…”

Tabla de Contenidos: “…. -- There's more... -- Dealing with large tables with table partitioning -- How to do it... -- How it works... -- There's more... -- Finding good candidates for partition keys -- Getting ready -- How to do it... -- There's more... -- Consolidating data with MERGE -- Getting ready -- How to do it... -- There's more... -- Deciding when to use JSON data types -- Getting ready -- How to do it... -- Example: moving sparse columns to JSON -- Example: expose JSON data using a view -- There's more... -- Chapter 6: Security -- An overview of PostgreSQL security -- Typical user roles -- The PostgreSQL superuser -- How to do it... -- How it works... -- There's more... -- Other superuser-like attributes -- See also…”

Tabla de Contenidos: “…Summary -- Questions -- Further reading -- Chapter 9: AOP with PostSharp -- Technical requirements -- AOP -- AOP frameworks -- How AOP works with PostSharp -- Extending the aspect framework -- Project - Cross-cutting concerns reusable library -- Adding a caching concern -- Adding file logging capabilities -- Adding an exception-handling concern -- Adding a security concern -- Adding a validation concern -- Adding a transaction concern -- Adding a resource pool concern -- Adding a configuration settings concern -- Adding an instrumentation concern -- PostSharp and build pipeline considerations -- Dynamic AOP with Castle.DynamicProxy -- Summary -- Questions -- Further reading -- Chapter 10: Using Tools to Improve Code Quality -- Technical requirements -- Code analysis -- Using quick actions -- Using the JetBrains dotTrace profiler -- Using JetBrains ReSharper -- Using Telerik JustDecompile -- Continuous integration with GitHub Actions and CodeQL -- Summary -- Questions -- Further reading -- Chapter 11: Refactoring C# Code -- Technical requirements -- Application-level code smells -- Boolean blindness -- Combinatorial explosion -- Contrived complexity -- Data clump -- Deodorant comments -- Duplicate code -- Lost intent -- The mutation of variables -- The oddball solution -- Shotgun surgery -- Solution sprawl -- Uncontrolled side effects -- Class-level code smells -- Cyclomatic complexity -- Divergent change -- Downcasting -- Excessive literal use -- Feature envy -- Inappropriate intimacy -- Indecent exposure -- The large class (the God object) -- The lazy class (the freeloader and the lazy object) -- The middleman class -- The orphan class of variables and constants -- Primitive obsession -- Refused bequest -- Speculative generality -- Tell, Don't Ask -- Temporary fields -- Method-level smells -- The black sheep method -- Cyclomatic complexity…”

Tabla de Contenidos: “…-- 3.1.2 RSCT components -- 3.1.3 Resource Management and Control (RMC) subsystem -- 3.1.4 Security -- 3.1.5 Cluster environment -- 3.2 Cluster System Management -- 3.2.1 Supported platforms -- 3.2.2 Client install mechanisms -- 3.2.3 CSM 1.3.2.1 November 2003 -- 3.3 HACMP -- 3.3.1 HACMP overview -- 3.3.2 Role of HACMP -- 3.3.3 Physical components of an HACMP cluster -- 3.4 IBM Virtual Shared Disks -- 3.4.1 Overview of the Virtual Shared Disk components -- 3.4.2 Product packaging -- 3.4.3 Configuration repository -- 3.4.4 Shared external disk access -- 3.4.5 Quorum -- 3.4.6 IBM Recoverable Virtual Shared Disk overview -- 3.4.7 Recovery for concurrent Virtual Shared Disks -- 3.4.8 Disk cable and disk adapter failures -- 3.4.9 Communication adapter failures -- 3.4.10 Technical large pages overview -- 3.4.11 Restrictions for using Virtual Shared Disks -- 3.4.12 Overview of the subsystem device driver (SDD) -- 3.4.13 VSD configuration support for the SDD -- 3.4.14 HPS considerations when using the IP protocol for data transmissions -- 3.5 General Parallel File System 2.1 -- 3.5.1 GPFS overview -- 3.5.2 GPFS 2.1 (APAR IY47306) new features -- 3.5.3 Benefits of using GPFS -- 3.5.4 The basic GPFS structure -- 3.5.5 GPFS RPD cluster -- 3.5.6 GPFS HACMP cluster -- 3.5.7 Recoverability considerations -- 3.5.8 GPFS quorum considerations -- 3.6 Engineering applications -- 3.6.1 Low-level application programming interface (LAPI) -- 3.6.2 LoadLeveler -- 3.6.3 Message passing interface -- 3.6.4 Parallel Environment…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Packt is Searching for Authors Like You -- Table of Contents -- Preface -- Chapter 1: Giving Computers the Ability to Learn from Data -- Building intelligent machines to transform data into knowledge -- The three different types of machine learning -- Making predictions about the future with supervised learning -- Classification for predicting class labels -- Regression for predicting continuous outcomes -- Solving interactive problems with reinforcement learning -- Discovering hidden structures with unsupervised learning -- Finding subgroups with clustering -- Dimensionality reduction for data compression -- Introduction to the basic terminology and notations -- A roadmap for building machine learning systems -- Preprocessing - getting data into shape -- Training and selecting a predictive model -- Evaluating models and predicting unseen data instances -- Using Python for machine learning -- Installing Python and packages from the Python Package Index -- Using the Anaconda Python distribution and package manager -- Packages for scientific computing, data science, and machine learning -- Summary -- Chapter 2: Training Simple Machine Learning Algorithms for Classification -- Artificial neurons - a brief glimpse into the early history of machine learning -- The formal definition of an artificial neuron -- The perceptron learning rule -- Implementing a perceptron learning algorithm in Python -- An object-oriented perceptron API -- Training a perceptron model on the Iris dataset -- Adaptive linear neurons and the convergence of learning -- Minimizing cost functions with gradient descent -- Implementing Adaline in Python -- Improving gradient descent through feature scaling -- Large-scale machine learning and stochastic gradient descent -- Summary…”

Tabla de Contenidos: “…. -- How it works... -- Sampling large vectors -- How to do it... -- How it works... -- Generating permutations of input sequences -- How to do it... -- How it works... -- Implementing a dictionary merging tool -- How to do it... -- How it works... -- Chapter 6: Advanced Use of STL Algorithms -- Introduction -- Implementing a trie class using STL algorithms -- How to do it... -- How it works... -- Implementing a search input suggestion generator with tries -- How to do it... -- How it works... -- There's more... -- Implementing the Fourier transform formula with STL numeric algorithms -- How to do it... -- How it works... -- Calculating the error sum of two vectors -- How to do it... -- How it works... -- Implementing an ASCII Mandelbrot renderer -- How to do it... -- How it works... -- Building our own algorithm - split -- How to do it... -- How it works... -- There's more... -- Composing useful algorithms from standard algorithms - gather -- How to do it... -- How it works... -- Removing consecutive whitespace between words -- How to do it... -- How it works... -- Compressing and decompressing strings -- How to do it... -- How it works... -- There's more... -- Chapter 7: Strings, Stream Classes, and Regular Expressions -- Introduction -- Creating, concatenating, and transforming strings -- How to do it... -- How it works... -- Trimming whitespace from the beginning and end of strings -- How to do it... -- How it works... -- Getting the comfort of std::string without the cost of constructing std::string objects -- How to do it... -- How it works... -- Reading values from user input -- How to do it... -- How it works... -- Counting all words in a file -- How to do it... -- How it works... -- Formatting your output with I/O stream manipulators…”

Tabla de Contenidos: “…-- Crowdtesting operating models -- Crowdtesting as part of Testing Center of Excellence (TCOE) -- Key challenges of adopting crowdtesting -- The benefits of crowdtesting -- Conclusion -- References -- Chapter 6: Testing Goes an Extra Mile over Weekends -- Weekend testing - modus operandi -- Advantages -- Disadvantages -- Trends in the use of crowdsourced testing -- How can large IT organizations ride the weekend testing bandwagon? …”

Tabla de Contenidos: “…Cover -- Contents -- Chapter 1 System Considerations -- Basic Hardware Considerations -- Feature Considerations -- Processor Considerations -- Cache Considerations -- Memory Considerations -- I/O Card Considerations -- 10Gb Ethernet -- Converged Network Adapters -- Disk Drive Space Considerations -- Basic Hardware Considerations Summary -- Specific Hardware Considerations -- Blade Server Systems -- 1U Server Systems -- 2U Server Systems -- Large Server-Class Systems -- The Effects of External Storage -- Examples -- Example 1: Using Motherboard X and Esxi Will Not Install -- Example 2: Installing Esx and Expecting a Graphical Console -- Example 3: Existing Datacenter -- Example 4: Office in a Box -- Example 5: The Latest and Greatest -- Example 6: The San -- Example 7: Secure Environment -- Example 8: Disaster Recovery -- Hardware Checklist -- Conclusion -- Chapter 2 Version Comparison -- Vmware Esx/Esxi Architecture Overview -- Vmkernel Differences -- Esx Boot Differences -- Tool Differences -- Virtual Networking -- Vnetwork Distributed Switch -- Third-Party Virtual Switches -- Fault Tolerance (Ft) Logging -- Iscsi Participation -- Ipv6 Support -- Vmsafe-Net -- Summary -- Storage -- Grow a Vmfs Volume -- Storage Io Control (Sioc) -- Multipath Plug-in (Mpp) -- Iscsi and Nfs Improvements -- Fcoe -- Storage Summary -- Availability -- Host Profiles -- Fault Tolerance -- Dynamic Power Management -- High Availability (Ha) Improvements -- Vmotion -- Storage Vmotion -- Availability Summary -- Disaster Recovery and Business Continuity Differences -- Virtual Hardware -- Virtual Machine and Server Management -- Security Differences -- Installation Differences -- Licensing Differences -- Vmware Certification -- Conclusion -- Chapter 3 Installation -- Preinstallation Checklist -- Preinstallation/Upgrade Steps -- Step 1: Back Up Esx…”

Tabla de Contenidos: “…The Four Cardinal Sins that Undermine Good Customer Service -- Summary -- Test Your Understanding -- Suggested Further Readings -- Chapter 5 Ethics, Legislation, and Outsourcing -- Introduction -- Ethics -- The RadioShack Case -- The Tyco Case -- The WorldCom Case -- The Enron Case -- Legislation -- Sarbanes-Oxley Act -- Graham-Leach-Bliley Act -- California Senate Bill 1386 -- Outsourcing -- Summary -- Test Your Understanding -- Suggested Further Readings -- Chapter 6 Comparison to ITIL Processes -- Introduction -- Developments Leading Up To ITIL -- IT Service Management -- The Origins of ITIL -- Quality Approach and Standards -- Criteria to Differentiate Infrastructure Processes -- Comparison of Infrastructure Processes -- Ten Common Myths Concerning the Implementation of ITIL -- Myth #1: You Must Implement All ITIL or No ITIL at All -- Myth #2: ITIL is Based on Infrastructure Management Principles -- Myth #3: ITIL Applies Mostly to Data Center Operations -- Myth #4: Everyone Needs to be Trained on ITIL Fundamentals -- Myth #5: Full Understanding of ITIL Requires Purchase of Library -- Myth #6: ITIL Processes Should be Implemented Only One at a Time -- Myth #7: ITIL Provides Detailed Templates for Implementation -- Myth #8: ITIL Framework Applies Only to Large Shops -- Myth #9: ITIL Recommends Tools to Use for Implementation -- Myth #10: There Is Little Need to Understand ITIL Origins -- Summary -- Test Your Understanding -- Suggested Further Readings -- Chapter 7 Availability -- Introduction -- Definition of Availability -- Differentiating Availability from Uptime -- Differentiating Slow Response from Downtime -- Differentiating Availability from High Availability -- Desired Traits of an Availability Process Owner -- Methods for Measuring Availability -- The Seven Rs of High Availability -- Redundancy -- Reputation -- Reliability -- Repairability…”

Tabla de Contenidos: “…Approval of the design matrix -- Implementing a k-means clustering solution -- The vision -- The data -- The strategy -- The k-means clustering program -- The mathematical definition of k-means clustering -- The Python program -- Saving and loading the model -- Analyzing the results -- Bot virtual clusters as a solution -- The limits of the implementation of the k-means clustering algorithm -- Summary -- Questions -- Further reading -- Chapter 5: How to Use Decision Trees to Enhance K-Means Clustering -- Unsupervised learning with KMC with large datasets -- Identifying the difficulty of the problem -- NP-hard - the meaning of P -- NP-hard - the meaning of non-deterministic -- Implementing random sampling with mini-batches -- Using the LLN -- The CLT -- Using a Monte Carlo estimator -- Trying to train the full training dataset -- Training a random sample of the training dataset -- Shuffling as another way to perform random sampling -- Chaining supervised learning to verify unsupervised learning -- Preprocessing raw data -- A pipeline of scripts and ML algorithms -- Step 1 - training and exporting data from an unsupervised ML algorithm -- Step 2 - training a decision tree -- Step 3 - a continuous cycle of KMC chained to a decision tree -- Random forests as an alternative to decision trees -- Summary -- Questions -- Further reading -- Chapter 6: Innovating AI with Google Translate -- Understanding innovation and disruption in AI -- Is AI disruptive? …”

Tabla de Contenidos: “…Dubai's economy has been hard hit by the COVID-19 pandemic and the economic recession, but is expected to recover in 2021 -- Dubai has a very diverse population, made up predominantly of expatriates and individuals of working age -- Dubai's private school sector -- Governance -- Institutions -- Well-being as a key goal of KHDA's forward-looking strategy -- Funding -- The COVID-19 pandemic has exacerbated disparities in the private sector -- School choice is shaped by perceptions of quality, demographics and a unique job market -- Market pressures can encourage improvement, but may create unintended consequences -- Dubai's private education sector has become a profitable sector of the economy -- The sector has attracted professionals and centres that provide important services for strengthening well-being -- The structure of Dubai's private school system -- Dubai has a large and expanding private education system -- There is a wide diversity of curricula on offer -- Private schools in Dubai benefit from a high degree of autonomy over teaching and learning -- Teachers and teaching -- Dubai has a diverse teacher workforce, made up predominantly of expatriates -- Dubai's private sector benefits from a highly-qualified teacher workforce, with access to support and development opportunities -- Main trends in participation, outcomes and equity -- In the last three decades, Dubai's private student population has increased three-fold and enrolment is high -- Student learning outcomes are high, compared to benchmark countries -- Students' outcomes have improved in Dubai's private sector -- Disparities in performance across the sector and the student population -- Stakeholders, including parents and students, have high aspirations for their future -- References -- Notes -- 2. …”

Tabla de Contenidos: “…Familiarizing Yourself with the Default Values -- Using LIB_http -- Learning More About HTTP Headers -- Examining LIB_http's Source Code -- Final Thoughts -- 4: Parsing Techniques -- Parsing Poorly Written HTML -- Standard Parse Routines -- Using LIB_parse -- Splitting a String at a Delimiter: split_string() -- Parsing Text Between Delimiters: return_between() -- Parsing a Data Set into an Array: parse_array() -- Parsing Attribute Values: get_attribute() -- Removing Unwanted Text: remove() -- Useful PHP Functions -- Detecting Whether a String Is Within Another String -- Replacing a Portion of a String with Another String -- Parsing Unformatted Text -- Measuring the Similarity of Strings -- Final Thoughts -- Don't Trust a Poorly Coded Web Page -- Parse in Small Steps -- Don't Render Parsed Text While Debugging -- Use Regular Expressions Sparingly -- 5: Automating Form Submission -- Reverse Engineering Form Interfaces -- Form Handlers, Data Fields, Methods, and Event Triggers -- Form Handlers -- Data Fields -- Methods -- Event Triggers -- Unpredictable Forms -- JavaScript Can Change a Form Just Before Submission -- Form HTML Is Often Unreadable by Humans -- Cookies Aren't Included in the Form, but Can Affect Operation -- Analyzing a Form -- Final Thoughts -- Don't Blow Your Cover -- Correctly Emulate Browsers -- Avoid Form Errors -- 6: Managing Large Amounts of Data -- Organizing Data -- Naming Conventions -- Storing Data in Structured Files -- Storing Text in a Database -- Storing Images in a Database -- Database or File? …”

Tabla de Contenidos: “…Flushing pending output -- The Underlying Data Structure -- Asynchronous Notification -- The Driver's Point of View -- Seeking a Device -- The llseek Implementation -- Access Control on a Device File -- Single-Open Devices -- Restricting Access to a Single User at a Time -- Blocking open as an Alternative to EBUSY -- Cloning the Device on open -- Quick Reference -- Time, Delays, and Deferred Work -- Measuring Time Lapses -- Using the jiffies Counter -- Processor-Specific Registers -- Knowing the Current Time -- Delaying Execution -- Long Delays -- Busy waiting -- Yielding the processor -- Timeouts -- Short Delays -- Kernel Timers -- The Timer API -- The Implementation of Kernel Timers -- Tasklets -- Workqueues -- The Shared Queue -- Quick Reference -- Timekeeping -- Delays -- Kernel Timers -- Tasklets -- Workqueues -- Allocating Memory -- The Real Story of kmalloc -- The Flags Argument -- Memory zones -- The Size Argument -- Lookaside Caches -- A scull Based on the Slab Caches: scullc -- Memory Pools -- get_free_page and Friends -- A scull Using Whole Pages: scullp -- The alloc_pages Interface -- vmalloc and Friends -- A scull Using Virtual Addresses: scullv -- Per-CPU Variables -- Obtaining Large Buffers -- Acquiring a Dedicated Buffer at Boot Time -- Quick Reference -- Communicating with Hardware -- I/O Ports and I/O Memory -- I/O Registers and Conventional Memory -- Using I/O Ports -- I/O Port Allocation -- Manipulating I/O ports -- I/O Port Access from User Space -- String Operations -- Pausing I/O -- Platform Dependencies -- An I/O Port Example -- An Overview of the Parallel Port -- A Sample Driver -- Using I/O Memory -- I/O Memory Allocation and Mapping -- Accessing I/O Memory -- Ports as I/O Memory -- Reusing short for I/O Memory -- ISA Memory Below 1 MB -- isa_readb and Friends -- Quick Reference -- Interrupt Handling…”

Tabla de Contenidos: “…Capacity upgrades -- 8.1 Concurrent upgrades -- 8.2 Capacity Upgrade on Demand (CUoD) -- 8.3 Customer Initiated Upgrade (CIU) -- 8.4 On/Off Capacity on Demand (On/Off CoD) -- 8.5 Capacity BackUp (CBU) -- 8.6 Nondisruptive upgrades -- 8.6.1 Upgrade scenarios -- 8.6.2 Planning for nondisruptive upgrades -- 8.7 Capacity planning considerations -- 8.7.1 Balanced system design -- 8.7.2 Superscalar processors -- 8.7.3 Integrated hardware and system assists -- 8.8 Capacity measurements -- 8.8.1 Large Systems Performance Reference (LSPR) -- Chapter 9. …”