Statistics with Julia
Ccurrently many of Julia's users are hard-core developers that contribute to the language's standard libraries, and to the extensive package eco-system that surrounds it. Therefore, much of the Julia material available at present is aimed at other developers rather than end users. This is where our book comes in, as it has been written with the end-user in mind. The code examples have been deliberately written in a simple format, sometimes at the expense of efficiency and generality, but with the advantage of being easily readable. Each of the code examples aims to convey a specific statistical point, while covering Julia programming concepts in parallel. In a way, the code examples are reminiscent of examples that a lecturer may use in a lecture to illustrate concepts. The content of the book is written in a manner that does not assume any prior statistical knowledge, and in fact only assumes some basic programming experience and a basic understanding of mathematical notation. ...
Ccurrently many of Julia's users are hard-core developers that contribute to the language's standard libraries, and to the extensive package eco-system that surrounds it. Therefore, much of the Julia material available at present is aimed at other developers rather than end users. This is where our book comes in, as it has been written with the end-user in mind. The code examples have been deliberately written in a simple format, sometimes at the expense of efficiency and generality, but with the advantage of being easily readable. Each of the code examples aims to convey a specific statistical point, while covering Julia programming concepts in parallel. In a way, the code examples are reminiscent of examples that a lecturer may use in a lecture to illustrate concepts. The content of the book is written in a manner that does not assume any prior statistical knowledge, and in fact only assumes some basic programming experience and a basic understanding of mathematical notation. ...
Deep Learning for Coders with fastai and PyTorch
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. ...
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. ...
Python re(gex)?
Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you learn Python Regular Expressions, a mini-programming language for all sorts of text processing needs. The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. You should have prior experience working with Python, should know concepts like string formats, string methods, list comprehension and so on. ...
Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you learn Python Regular Expressions, a mini-programming language for all sorts of text processing needs. The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. You should have prior experience working with Python, should know concepts like string formats, string methods, list comprehension and so on. ...
Libelf by Example
This tutorial introduces libelf, a library for reading and writing object code in the Extensible Linking Format (ELF) file format. - Getting started with libelf: obtaining a handle to an ELF object, establishing a working ELF version, and handling errors reported by libelf. - How ELF data structures are laid out in-memory and on disk, the notions of "file representation" and "memory representation", how to write applications that can handle non-native binaries. - ELF Segments and the ELF Program Header Table, retrieving the program header table from an ELF executable and the meaning of the fields of a program header table entry. - How data is stored inside ELF sections, the ELF Section Header Table, and how to traverse the sections in an ELF object. - How to create new ELF objects: the rules for ordering individual API calls, the default object layout implemented by libelf, and how to specify custom layouts. - ar archives: their structure, and how to read the contents of these ar ...
This tutorial introduces libelf, a library for reading and writing object code in the Extensible Linking Format (ELF) file format. - Getting started with libelf: obtaining a handle to an ELF object, establishing a working ELF version, and handling errors reported by libelf. - How ELF data structures are laid out in-memory and on disk, the notions of "file representation" and "memory representation", how to write applications that can handle non-native binaries. - ELF Segments and the ELF Program Header Table, retrieving the program header table from an ELF executable and the meaning of the fields of a program header table entry. - How data is stored inside ELF sections, the ELF Section Header Table, and how to traverse the sections in an ELF object. - How to create new ELF objects: the rules for ordering individual API calls, the default object layout implemented by libelf, and how to specify custom layouts. - ar archives: their structure, and how to read the contents of these ar ...
Practical Apache Lucene 8
Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications. This book explores the Java-based, high-performance text search engine library used to build search capabilities in your applications. Starting with the basics of Lucene and searching, you will learn about the types of queries used in it and also take a look at scoring models. Applying this basic knowledge, you will develop a hello world app using basic Lucene queries and explore functions like scoring and document level boosting. Along the way you will also uncover the concepts of partial searching and matching in Lucene and then learn how to integrate geographical information (geospatial data) in Lucene using spatial queries and n-dimensional indexing. This will prepare you to build a location-aware search engine with a representative data set that allows location constraints to be specified during a search. You'll also develop a text classifier using Lucene and Apache Mahout, ...
Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications. This book explores the Java-based, high-performance text search engine library used to build search capabilities in your applications. Starting with the basics of Lucene and searching, you will learn about the types of queries used in it and also take a look at scoring models. Applying this basic knowledge, you will develop a hello world app using basic Lucene queries and explore functions like scoring and document level boosting. Along the way you will also uncover the concepts of partial searching and matching in Lucene and then learn how to integrate geographical information (geospatial data) in Lucene using spatial queries and n-dimensional indexing. This will prepare you to build a location-aware search engine with a representative data set that allows location constraints to be specified during a search. You'll also develop a text classifier using Lucene and Apache Mahout, ...
70 Tips and Tricks for Mastering the CISSP Exam
Learn how to think and apply knowledge in a practical way. Tackling the CISSP exam is vastly different from simply understanding the subject matter. Even the most experienced security professionals can fail because the questions are tricky and ask the test taker to pick the best of the options given. The CISSP exam conducted by ISC2 is the hardest and most rewarded cybersecurity examination. The test has several domains and sub-domains and covers a wide range of topics on security, including cyber and physical building security fields. It also covers breaches, discovery of breaches, and how to report data breaches. Because the subject area is vast and the questions are almost never repeated, it is hard for the exam taker to memorize or quickly discover the correct solution. The four options given as answers typically have two very close matches to the question. With quick analysis, it is possible to discover from the verbiage of a question what is truly being asked and learn how t ...
Learn how to think and apply knowledge in a practical way. Tackling the CISSP exam is vastly different from simply understanding the subject matter. Even the most experienced security professionals can fail because the questions are tricky and ask the test taker to pick the best of the options given. The CISSP exam conducted by ISC2 is the hardest and most rewarded cybersecurity examination. The test has several domains and sub-domains and covers a wide range of topics on security, including cyber and physical building security fields. It also covers breaches, discovery of breaches, and how to report data breaches. Because the subject area is vast and the questions are almost never repeated, it is hard for the exam taker to memorize or quickly discover the correct solution. The four options given as answers typically have two very close matches to the question. With quick analysis, it is possible to discover from the verbiage of a question what is truly being asked and learn how t ...
Learn Microservices with Spring Boot, 2nd Edition
Build Java-based microservices architecture using the Spring Boot framework by evolving an application from a small monolith to an event-driven architecture composed of several services. This revised book follows an incremental approach in teaching the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per-environment configuration, and containerization. This updated book now covers what's been added to the latest Spring Boot release, including support for the latest Java SE; more deep-dive knowledge on how Spring Boot works; testing with JUnit 5; changes in the Spring Cloud tools used for service discovery and load balancing; building Docker images using cloud-native buildpacks; a basic centralized logging solution; E2E traceability with Sleuth; centralized configuration with Consul; many dependency upgrades; support for Spring Data Neumann; and more. Author Moises Ma ...
Build Java-based microservices architecture using the Spring Boot framework by evolving an application from a small monolith to an event-driven architecture composed of several services. This revised book follows an incremental approach in teaching the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per-environment configuration, and containerization. This updated book now covers what's been added to the latest Spring Boot release, including support for the latest Java SE; more deep-dive knowledge on how Spring Boot works; testing with JUnit 5; changes in the Spring Cloud tools used for service discovery and load balancing; building Docker images using cloud-native buildpacks; a basic centralized logging solution; E2E traceability with Sleuth; centralized configuration with Consul; many dependency upgrades; support for Spring Data Neumann; and more. Author Moises Ma ...
Machine Learning in the Oil and Gas Industry
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and prod ...
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and prod ...
Biopython: Tutorial and Cookbook
The Biopython Project is an international association of developers tools for computational molecular biology. Python is an object oriented, interpreted,flexible language that is becoming increasingly popular for scientific computing. Python is easy to learn, hasa very clear syntax and can easily be extended with modules written in C, C++ or FORTRAN. Thegoal of Biopython is to make it as easy as possible to use Python for bioinformatics by creating high-quality, reusable modules and classes. Biopython features include parsers for various Bioinformatics file formats (BLAST, Clustalw, FASTA, Genbank,...), access to online services (NCBI, Expasy,...), interfaces to commonand not-so-common programs (Clustalw, DSSP, MSMS...), a standard sequence class, various clusteringmodules, a KD tree data structure etc. ...
The Biopython Project is an international association of developers tools for computational molecular biology. Python is an object oriented, interpreted,flexible language that is becoming increasingly popular for scientific computing. Python is easy to learn, hasa very clear syntax and can easily be extended with modules written in C, C++ or FORTRAN. Thegoal of Biopython is to make it as easy as possible to use Python for bioinformatics by creating high-quality, reusable modules and classes. Biopython features include parsers for various Bioinformatics file formats (BLAST, Clustalw, FASTA, Genbank,...), access to online services (NCBI, Expasy,...), interfaces to commonand not-so-common programs (Clustalw, DSSP, MSMS...), a standard sequence class, various clusteringmodules, a KD tree data structure etc. ...
A Graduate Course in Applied Cryptography
Cryptography is an indispensable tool used to protect information in computing systems. It is used everywhere and by billions of people worldwide on a daily basis. It is used to protect data at rest and data in motion. Cryptographic systems are an integral part of standard protocols, most notably the Transport Layer Security (TLS) protocol, making it relatively easy to incorporate strong encryption into a wide range of applications. While extremely useful, cryptography is also highly brittle. The most secure cryptographic system can be rendered completely insecure by a single specification or programming error. No amount of unit testing will uncover a security vulnerability in a cryptosystem. Instead, to argue that a cryptosystem is secure, we rely on mathematical modeling and proofs to show that a particular system satisfies the security properties attributed to it. We often need to introduce certain plausible assumptions to push our security arguments through. ...
Cryptography is an indispensable tool used to protect information in computing systems. It is used everywhere and by billions of people worldwide on a daily basis. It is used to protect data at rest and data in motion. Cryptographic systems are an integral part of standard protocols, most notably the Transport Layer Security (TLS) protocol, making it relatively easy to incorporate strong encryption into a wide range of applications. While extremely useful, cryptography is also highly brittle. The most secure cryptographic system can be rendered completely insecure by a single specification or programming error. No amount of unit testing will uncover a security vulnerability in a cryptosystem. Instead, to argue that a cryptosystem is secure, we rely on mathematical modeling and proofs to show that a particular system satisfies the security properties attributed to it. We often need to introduce certain plausible assumptions to push our security arguments through. ...