“…Grok and perform effective functional programming in Scala About This Book Understand functional programming patterns by comparing them with the traditional object-oriented design patterns Write robust, safer, and better code using the declarative programming paradigm An illustrative guide for programmers to create functional programming patterns with Scala Who This Book Is For If you have done Java programming before and have a basic knowledge of Scala and its syntax, then this book is an ideal choice to help you to understand the context, the traditional design pattern applicable, and the Scala way. …”

Tabla de Contenidos: “…Meet your new workforce -- Understand your workers, new habits -- Grok the empowered mindset -- Upgrade your operating models -- Create the conditions to thrive -- Enable your empowered workforce -- Pilot your expedition team -- Embrace your superpowers -- Emerge the empathic leader…”

“…Python Concurrency with asyncio introduces asynchronous, parallel, and concurrent programming through hands-on Python examples. Hard-to-grok concurrency topics are broken down into simple flowcharts that make it easy to see how your tasks are running. …”

“…This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can practice your new skills immediately. …”

“…"CSS Grid Layout will transform the way you design and develop for the web—and Rachel Andrew will change the way you grok the spec. Learn to use Grid Layout within a system that includes existing methods to perform the tasks they were designed for—and take advantage of this pivotal moment in the evolution of layout." -- A Book Apart…”

“…In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. …”

“…A friendly, framework-agnostic tutorial that will help you grok how streaming systems work--and how to build your own! …”

“…Take a tour of Python frameworks, from Appier, Cyclone, and Fantastico to Grok, Muffin, and Twisted Dive into details on the top six Python frameworks—Django, Flask, Tornado, Bottle, Pyramid, and CherryPy Review code examples, testing capabilities, best uses, and ways to get started with each of the top six Learn Python’s building blocks for creating your own framework, and explore why you’d want to pursue this option…”

“…The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what's great about DOP. Best of all, the paradigm is language-agnostic--you'll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#. …”

“…By following the numerous concrete examples, enlightening explanations, and engaging exercises, you’ll finally grok powerful techniques like generics, efficient error handling, protocol-oriented programming, and advanced Swift patterns. …”

“…The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family)…”

Tabla de Contenidos: “…. -- 50: Gran-Groi. -- 51: Grok-Grus. -- 52: Grut-Gz. -- 53: H-Hag. -- 54: Hah-Ham. -- 55: Han-Hao. -- 56: Hap-Hat. -- 57: Hau-Hec. -- 58: Hed-Hek. -- 59: Hel-Hep. -- 60: Her-Hes. -- 61: Het-Hil. -- 62: Him-Hofe. -- 63: Hoff-Hols. -- 64: Holt-Hor. -- 65: Hos-Hun. -- 66: Huo-Jahn. -- 67: Jaho-Jai. -- 68: Jak-Je. -- 69: Jf-Jok. -- 70: Jol-Juk. -- 71: Jul-Kak. -- 72: Kal-Kars. -- 73: Kart-Kea. -- 74: Keb-Kh. -- 75: Ki-Kis. -- 76: Kit-Kl. -- 77: Km-Koc. -- 78: Kod-Kon. -- 79: Koo-Koy. -- 80: Koz-Kret. -- 81: Kreu-Krz. -- 82: Ks-Kun. -- 83: Kuo-Lam. -- 84: Lan-Lat. -- 85: Lau-Leg. -- 86: Leh-Lem. -- 87: Len-Leu. -- 88: Lev-Lim. -- 89: Lin-Loc. -- 90: Lod-Luc. -- 91: Lud-Mac. -- 92: Mad-Mari. -- 93: Mark-May. -- 94: Maz-Meo. -- 95: Mep-Mey. -- 96: Mez-Mis. -- 97: Mit-Moc. -- 98: Mod-Mons. -- 99: Mont-Mui. -- 101: Mum-Nap. -- 102: Naq-Neu. -- 103: Nev-Nor. -- 104: Nos-On. -- 105: Oo-Oz. -- 106: P-Pat. -- 107: Pau-Pet. -- 108: Peti-Ph. -- 109: Pi-Pn. -- 110: Po-Pou. -- 111: Pov-Pr. -- 112: Ps-Raf. -- 113: Rag-Ray. -- 114: Raz-Reh. -- 115: Rei-Reini. -- 116: Reink-Reus. -- 117: Reut-Rie. -- 118: Rif-Rok. -- 119: Rol-Ros. -- 120: Rot-Rum. -- 121: Run-Sali. -- 122: Salk-Sam. -- 123: San-Schaf. -- 124: Schag-Schel. -- 125: Schem-Schil. -- 126: Schim-Schl. -- 127: Schm-Schmid. -- 128: Schmie-Schom. -- 129: Schon-Schril. -- 130: Schrim-Schult. -- 131: Schulu-Schv. -- 132: Schw-Sed. -- 133: See-Seo. -- 134: Sep-Sik. -- 135: Sil-Soc. -- 136: Sod-Spau. -- 137: Spav-Sr. -- 138: Ss-Stau. -- 139: Stav-Ster. -- 140: Stes-Stos. -- 141: Stot-Stuc. -- 142: Stud-Sv. -- 143: Sw-Tar. -- 144: Tas-That. -- 145: Thau-Tid. -- 146: Tie-Tref. -- 147: Treg-Tz. -- 148: U-Um. -- 149: Un-Uz. -- 150: V-Vero. -- 151: Verp-Voir. -- 152: Vois-Vor. -- 153: Vos-Wape. -- 154: Wapf-Weim. -- 155: Wein-Wer. -- 156: Wes-Wilk. -- 157: Will-Wok. -- 158: Wol-Wz. -- 159: X-Zei. -- 160: Zek-Zz. -- Nachträge…”

“…It lays out the principles of functional programming in a simple and concise way that will help you grok what FP is really all about. In Grokking Functional Programming you will learn: Designing with functions and types instead of objects Programming with pure functions and immutable values Writing concurrent programs using the functional style Testing functional programs Multiple learning approaches to help you grok each new concept If you've ever found yourself rolling your eyes at functional programming, this is the book for you. …”

“…As you go further, you'll start to grok the power of asynchronous communication in a distributed environment and take on practical tasks like deploying, debugging, and establishing performance guarantees…”

Tabla de Contenidos: “…CPU and memory requirements -- Disk requirements -- Analyze Index Disk Usage API -- ML node capacity -- Storage efficiency strategies -- Reducing dimensionality -- Quantization -- Excluding dense_vector from _source -- Summary -- Chapter 4: Performance Tuning - Working with Data -- Deploying an NLP model -- Loading a model into Elasticsearch -- Model deployment configurations -- Load testing -- Rally -- RAM estimation -- Troubleshooting slowdown -- Summary -- Part 3: Specialized Use Cases -- Chapter 5: Image Search -- Overview of image search -- The evolution of image search -- The mechanism behind image search -- The role of vector similarity search -- Image search in practice -- Vector search with images -- Image vectorization -- Indexing image vectors in Elasticsearch -- k-Nearest Neighbor (kNN) search -- Challenges and limitations with image search -- Multi-modal models for vector search -- Introduction and rationale -- Understanding the concept of vector space in multi-modal models -- Introduction to the OpenAI clip-ViT-B-32-multilingual-v1 model -- Implementing vector search for diverse media types -- Summary -- Chapter 6: Redacting Personal Identifiable Information Using Elasticsearch -- Overview of PII and redaction -- Types of data that may contain PII -- Risks of storing PII in logs -- How PII is leaked or lost -- Redacting PII with NER models and regex patterns -- NER models -- Regex patterns -- Combining NER models and regex (or grok) patterns for PII redaction -- PII redaction pipeline in Elasticsearch -- Generating synthetic PII -- Installing the default pipeline -- Expected results -- Expanding and customizing options for the PII redaction pipeline in Elasticsearch -- Customizing the default PII example -- Cloning the pipeline to create different versions for different data streams -- Fine-tuning NER models for particular datasets…”

Tabla de Contenidos: “….movingaverage() -- .trend() -- .range() -- .precision() -- Data source functions -- Elasticsearch -- Static/value -- World bank -- Setting the offset for data sources -- Saving Timelion graph -- Timelion sheet option -- Deleting Timelion sheet -- Timelion help -- Function reference -- Keyboard tips -- Timelion auto-refresh -- Summary -- Chapter 7: Interact with Your Data Using Dev Tools -- Console -- Copy as cURL -- Auto indent -- Multiple requests in console -- Profiling queries -- Query profile -- Aggregation profile -- Grok debugger -- Summary -- Chapter 8: Tweaking Your Configuration with Kibana Management -- Index pattern -- Creating the index pattern -- Setting the default index pattern -- Refreshing index pattern fields -- Deleting an index pattern -- Managing fields -- String -- Dates -- Geographic point field -- Numbers -- Saved objects -- Dashboards -- Searches -- Visualizations -- Advanced settings -- xPack:defaultAdminEmail -- search:queryLanguage -- search:queryLanguage:switcher:enable -- dateFormat -- dateFormat:tz -- dateFormat:dow -- defaultIndex -- Reporting -- Security -- Roles -- Users -- Watcher -- Creating the watch -- Threshold alert -- Advanced watch -- Deleting the watch -- Summary -- Chapter 9: Understanding X-Pack Features -- Installing X-Pack -- Installing X-Pack into Elasticsearch -- Installing X-Pack into Kibana -- Features of X-Pack -- Monitoring -- Elasticsearch monitoring -- Kibana monitoring -- Security settings -- Users -- Roles -- Machine learning -- Other options of X-Pack -- Application Performance Monitoring -- Logging -- Apache logs -- MySQL logs -- Nginx logs -- System logs -- Metrics -- Apache metrics -- Docker metrics -- Kubernetes metrics -- MySQL metrics -- Nginx metrics -- Redis metrics -- System metrics -- Summary -- Chapter 10: Machine Learning with Kibana -- Machine learning jobs -- Single metric Jobs…”

Tabla de Contenidos: “…Bucketing on geo-spatial data -- Geo distance aggregation -- GeoHash grid aggregation -- Pipeline aggregations -- Calculating the cumulative sum of usage over time -- Summary -- Chapter 5: Analyzing Log Data -- Log analysis challenges -- Logstash -- Installation and configuration -- Prerequisites -- Downloading and installing Logstash -- Installing on Windows -- Installing on Linux -- Running Logstash -- Logstash architecture -- Overview of Logstash plugins -- Installing or updating plugins -- Input plugins -- Output plugins -- Filter plugins -- Codec plugins -- Exploring plugins -- Exploring Input plugins -- File -- Beats -- JDBC -- IMAP -- Output plugins -- Elasticsearch -- CSV -- Kafka -- PagerDuty -- Codec plugins -- JSON -- Rubydebug -- Multiline -- Filter plugins -- Ingest node -- Defining a pipeline -- Ingest APIs -- Put pipeline API -- Get Pipeline API -- Delete pipeline API -- Simulate pipeline API -- Summary -- Chapter 6: Building Data Pipelines with Logstash -- Parsing and enriching logs using Logstash -- Filter plugins -- CSV filter -- Mutate filter -- Grok filter -- Date filter -- Geoip filter -- Useragent filter -- Introducing Beats -- Beats by Elastic.co -- Filebeat -- Metricbeat -- Packetbeat -- Heartbeat -- Winlogbeat -- Auditbeat -- Community Beats -- Logstash versus Beats -- Filebeat -- Downloading and installing Filebeat -- Installing on Windows -- Installing on Linux -- Architecture -- Configuring Filebeat -- Filebeat prospectors -- Filebeat global options -- Filebeat general options -- Output configuration -- Filebeat modules -- Summary -- Chapter 7: Visualizing data with Kibana -- Downloading and installing Kibana -- Installing on Windows -- Installing on Linux -- Configuring Kibana -- Data preparation -- Kibana UI -- User interaction -- Configuring the index pattern -- Discover -- Elasticsearch query string…”

“…What you will learn Acquaint yourself with the new standard library of Scala 2.13 Get to grips with the Grok functional paradigms Get familiar with type system to express domain constraints Understand the actor model and different Akka libraries Grasp the concept of building microservices using Lagom framework Deep dive into property-based testing and its practical applications Who this book is for This book is for beginner to intermediate level Scala developers who would like to advance and gain knowledge of the intricacies of the Scala language, expand their functional programming tools, and explore actor-based concurrency models…”