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Mastering NetBeans

by David Salter

If you are a competent developer who wants to fast-track your application development with NetBeans IDE, then this book is for you. Reasonable knowledge and an understanding of Java programming and NetBeans IDE is assumed.

Mastering Nginx

by Dimitri Aivaliotis

This book is a practical step-by-step tutorial with well-explained code snippets, best-practice tips, and reference tables.If you are an experienced systems administrator or systems engineer, familiar with installing and configuring servers to meet specific needs and want to master NGINX, then this book is for you. You do not need to have experience using NGINX already.

Mastering Ninject for Dependency Injection

by Daniel Baharestani

Mastering Ninject for Dependency Injection teaches you the most powerful concepts of Ninject in a simple and easy-to-understand format using lots of practical examples, diagrams, and illustrations.Mastering Ninject for Dependency Injection is aimed at software developers and architects who wish to create maintainable, extensible, testable, and loosely coupled applications. Since Ninject targets the .NET platform, this book is not suitable for software developers of other platforms. Being familiar with design patterns such as singleton or factory would be beneficial, but no knowledge of dependency injection or IoC is assumed.

Mastering Node.js

by Sandro Pasquali

This book contains an extensive set of practical examples and an easy-to-follow approach to creating 3D objects.This book is great for anyone who already knows JavaScript and who wants to start creating 3D graphics that run in any browser. You don't need to know anything about advanced math or WebGL; all that is needed is a general knowledge of JavaScript and HTML. The required materials and examples can be freely downloaded and all tools used in this book are open source.

Mastering OAuth 2.0

by Charles Bihis

Create powerful applications to interact with popular service providers such as Facebook, Google, Twitter, and more by leveraging the OAuth 2.0 Authorization FrameworkAbout This BookLearn how to use the OAuth 2.0 protocol to interact with the world's most popular service providers, such as Facebook, Google, Instagram, Slack, Box, and moreMaster the finer details of this complex protocol to maximize the potential of your application while maintaining the utmost of securityStep through the construction of a real-world working application that logs you in with your Facebook account to create a compelling infographic about the most important person in the world--you!Who This Book Is ForIf you are an application developer, software architect, security engineer, or even a casual programmer looking to leverage the power of OAuth, Mastering OAuth 2.0 is for you. Covering basic topics such as registering your application and choosing an appropriate workflow, to advanced topics such as security considerations and extensions to the specification, this book has something for everyone. A basic knowledge of programming and OAuth is recommended.What You Will LearnDiscover the power and prevalence of OAuth 2.0 and use it to improve your application's capabilitiesStep through the process of creating a real-world application that interacts with Facebook using OAuth 2.0Examine the various workflows described by the specification, looking at what they are and when to use themLearn about the many security considerations involved with creating an application that interacts with other service providersDevelop your debugging skills with dedicated pages for tooling and troubleshootingBuild your own rich, powerful applications by leveraging world-class technologies from companies around the worldIn DetailOAuth 2.0 is a powerful authentication and authorization framework that has been adopted as a standard in the technical community. Proper use of this protocol will enable your application to interact with the world's most popular service providers, allowing you to leverage their world-class technologies in your own application. Want to log your user in to your application with their Facebook account? Want to display an interactive Google Map in your application? How about posting an update to your user's LinkedIn feed? This is all achievable through the power of OAuth.With a focus on practicality and security, this book takes a detailed and hands-on approach to explaining the protocol, highlighting important pieces of information along the way.At the beginning, you will learn what OAuth is, how it works at a high level, and the steps involved in creating an application. After obtaining an overview of OAuth, you will move on to the second part of the book where you will learn the need for and importance of registering your application and types of supported workflows. You will discover more about the access token, how you can use it with your application, and how to refresh it after expiration.By the end of the book, you will know how to make your application architecture robust. You will explore the security considerations and effective methods to debug your applications using appropriate tools. You will also have a look at special considerations to integrate with OAuth service providers via native mobile applications. In addition, you will also come across support resources for OAuth and credentials grant.Style and approachWith a focus on practicality and security, Mastering OAuth 2.0 takes a top-down approach at exploring the protocol. Discussed first at a high level, examining the importance and overall structure of the protocol, the book then dives into each subject, adding more depth as we proceed. This all culminates in an example application that will be built, step by step, using the valuable and practical knowledge you have gained.

Mastering Object-oriented Python

by Steven F. Lott

This book follows a standard tutorial approach with approximately 750 code samples spread through the 19 chapters. This amounts to over 5,900 lines of code that illustrate each concept. This book is aimed at programmers who have already learned the basics of object-oriented Python and need to write more sophisticated, flexible code that integrates seamlessly with the rest of Python. This book assumes a computer science background, with experience of common Python design patterns.

Mastering Online Marketing

by Mitch Meyerson Mary Eule Scarborough

Learn to avoid the #1 problem that plagues most online businesses-an under-performing website. The rise in online shopping has led countless entrepreneurs to jump on the e-commerce bandwagon-but despite their big dreams and hard work, most fail. This book shows them how to succeed in grabbing their piece of the e-commerce pie. Forgoing get-rich-quick hype for best practices and solid marketing principles, two world-class online marketers offer an unbeatable 12-step system that creates a profitable and sustainable online business. Hundreds of proven strategic and tactics, as well as dozens of time-saving web resources, help you jumpstart the process. The authors reveal the 10 most common e-commerce mistakes and offer fail-safe strategies for avoiding them. Innovative automation strategies save you time and money and help you create new streams of passive income. Featuring current technology-including Web 2.0 innovations, web conferencing, podcasts, blogging and more-this comprehensive manual puts website owners on the road to profitability.

Mastering OpenLayers 3

by Gabor Farkas

Create powerful applications with the most robust open source web mapping library using this advanced guide About This Book * Develop responsive and platform-independent web mapping applications with OpenLayers 3 * Learn the key points of creating great applications with native JavaScript through the step-by-step examples * Master the use of the library, from compiling custom builds to developing a complete WebGIS application Who This Book Is For This book is intended for front-end developers with basic understanding of JavaScript and GIS concepts, and preferably for those who are familiar with the fundamentals of OpenLayers 3. You might have never used OpenLayers 3 as a seasoned JavaScript developer. If this is the case and you are eager to learn web mapping, this book will definitely set you on the right track. What You Will Learn * Use the advanced functionality of the OpenLayers 3 library effectively * Implement the library in your application, shaping it to your needs * Manage layers and the layer stack dynamically * Create not only stunning but also accurate thematic maps * Extend OpenLayers 3 with your own custom classes * Develop mobile-friendly web mapping applications * Make stunning effects with canvas manipulation, or visualize point clouds with WebGL * Integrate third-party applications, and create custom builds that completely satisfy your needs In Detail OpenLayers 3 allows you to create stunning web mapping and WebGIS applications. It uses modern, cutting edge browser technologies. It is written with Closure Library, enabling you to build browser-independent applications without painful debugging ceremonies, which even have some limited fallback options for older browsers. With this guide, you will be introduced to the world of advanced web mapping and WebGIS. First, you will be introduced to the advanced features and functionalities available in OpenLayers 3. Next, you will be taken through the key points of creating custom applications with OpenLayers 3. You will then learn how to create the web mapping application of yours (or your company's) dream with this open source, expense-free, yet very powerful library. We'll also show you how to make amazing looking thematic maps and create great effects with canvas manipulation. By the end of this book, you will have a strong command of web mapping and will be well on your way to creating amazing applications using OpenLayers 3. Style and approach This is an advanced guide packed with comprehensive examples, and it concentrates on the advanced parts of OpenLayers 3 and JavaScript. It intentionally skips the basic and well-known methodologies, but discusses the hard-to-understand ones in great detail.

Mastering OpenVPN

by Jan Just Keijser Eric F Crist

Master building and integrating secure private networks using OpenVPN About This Book * Discover how to configure and set up a secure OpenVPN * Enhance user experience by using multiple authentication methods * Delve into better reporting, monitoring, logging, and control with OpenVPN Who This Book Is For If you are familiar with TCP/IP networking and general system administration, then this book is ideal for you. Some knowledge and understanding of core elements and applications related to Virtual Private Networking is assumed. What You Will Learn * Identify different VPN protocols (IPSec, PPTP, OpenVPN) * Build your own PKI and manage certificates * Deploy your VPN on various devices like PCs, mobile phones, tablets, and more * Differentiate between the routed and bridged network * Enhance your VPN with monitoring and logging * Authenticate against third-party databases like LDAP or the Unix password file * Troubleshoot an OpenVPN setup that is not performing correctly In Detail Security on the internet is increasingly vital to both businesses and individuals. Encrypting network traffic using Virtual Private Networks is one method to enhance security. The internet, corporate, and "free internet" networks grow more hostile every day. OpenVPN, the most widely used open source VPN package, allows you to create a secure network across these systems, keeping your private data secure. The main advantage of using OpenVPN is its portability, which allows it to be embedded into several systems. This book is an advanced guide that will help you build secure Virtual Private Networks using OpenVPN. You will begin your journey with an exploration of OpenVPN, while discussing its modes of operation, its clients, its secret keys, and their format types. You will explore PKI: its setting up and working, PAM authentication, and MTU troubleshooting. Next, client-server mode is discussed, the most commonly used deployment model, and you will learn about the two modes of operation using "tun" and "tap" devices. The book then progresses to more advanced concepts, such as deployment scenarios in tun devices which will include integration with back-end authentication, and securing your OpenVPN server using iptables, scripting, plugins, and using OpenVPN on mobile devices and networks. Finally, you will discover the strengths and weaknesses of the current OpenVPN implementation, understand the future directions of OpenVPN, and delve into the troubleshooting techniques for OpenVPN. By the end of the book, you will be able to build secure private networks across the internet and hostile networks with confidence. Style and approach An easy-to-follow yet comprehensive guide to building secure Virtual Private Networks using OpenVPN. A progressively complex VPN design is developed with the help of examples. More advanced topics are covered in each chapter, with subjects grouped according to their complexity, as well as their utility.

Mastering pandas

by Femi Anthony

This book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth.

Mastering Pasta

by David Joachim Marc Vetri

Award-winning chef Marc Vetri wanted to write his first book about pasta. Instead, he wrote two other acclaimed cookbooks and continued researching pasta for ten more years. Now, the respected master of Italian cuisine finally shares his vast knowledge of pasta, gnocchi, and risotto in this inspiring, informative primer featuring expert tips and techniques, and more than 100 recipes. Vetri's personal stories of travel and culinary discovery in Italy appear alongside his easy-to-follow, detailed explanations of how to make and enjoy fresh handmade pasta. Whether you're a home cook or a professional, you'll learn how to make more than thirty different types of pasta dough, from versatile egg yolk dough, to extruded semolina dough, to a variety of flavored pastas--and form them into shapes both familiar and unique. In dishes ranging from classic to innovative, Vetri shares his coveted recipes for stuffed pastas, baked pastas, and pasta sauces. He also shows you how to make light-as-air gnocchi and the perfect dish of risotto. Loaded with useful information, including the best way to cook and sauce pasta, suggestions for substituting pasta shapes, and advance preparation and storage notes, Mastering Pasta offers you all of the wisdom of a pro. For cooks who want to take their knowledge to the next level, Vetri delves deep into the science of various types of flour to explain pasta's uniquely satisfying texture and how to craft the very best pasta by hand or with a machine. Mastering Pasta is the definitive work on the subject and the only book you will ever need to serve outstanding pasta dishes in your own kitchen.From the Hardcover edition.

Mastering Perl

by Brian D Foy

This is the third in O'Reilly's series of landmark Perl tutorials, which started with Learning Perl, the bestselling introduction that taught you the basics of Perl syntax, and Intermediate Perl, which taught you how to create re-usable Perl software. Mastering Perl pulls everything together to show you how to bend Perl to your will. It convey's Perl's special models and programming idioms. This book isn't a collection of clever tricks, but a way of thinking about Perl programming so you can integrate the real-life problems of debugging, maintenance, configuration, and other tasks you encounter as a working programmer. The book explains how to: Use advanced regular expressions, including global matches, lookarounds, readable regexes, and regex debugging Avoid common programing problems with secure programming techniques Profile and benchmark Perl to find out where to focus your improvements Wrangle Perl code to make it more presentable and readable See how Perl keeps track of package variables and how you can use that for some powerful tricks Define subroutines on the fly and turn the tables on normal procedural programming. Modify and jury rig modules to fix code without editing the original source Let your users configure your programs without touching the code Learn how you can detect errors Perl doesn't report, and how to tell users about them Let your Perl program talk back to you by using Log4perl Store data for later use in another program, a later run of the same program, or to send them over a network Write programs as modules to get the benefit of Perl's distribution and testing tools Appendices include "brian's Guide to Solving Any Perl Problem" to improve your troubleshooting skills, as well as suggested reading to continue your Perl education. Mastering Perl starts you on your path to becoming the person with the answers, and, failing that, the person who knows how to find the answers or discover the problem.

Mastering Photoshop Layers

by Juergen Gulbins

Photoshop's layers are arguably the most powerful aspect of the software's user interface and are the key to successful image editing in Photoshop. Layers allow for both global and local adjustments to images and can be used to create a number of special effects. Best of all, layers allow for nondestructive editing of your original image. New Photoshop users often see layers as too complicated, and they miss out on the program's full potential. This book will remove the confusion factor by providing an in-depth introduction to layers. Clear, step-by-step instructions and illustrations help the reader quickly master the tools that are relevant for photographers. In this book you will learn about: Working with and building multiple layers Blending layers and which Options to use Using layers to enhance and retouch your images Creating and using layer masks Creating luminosity and saturation layer masks Using Smart Objects and Smart Filters Advanced layer techniques Time-saving shortcuts, tips, and tricks

Mastering PowerCLI

by Sajal Debnath

Master PowerCLI to automate all aspects of VMware environments About This Book * Leverage PowerCLI to perform administration tasks in a more effective and efficient way * Escape from daily tedious and repetitive tasks by unleashing the full potential of your creative side through scripting * Master the intricate workings of PowerShell and PowerCLI through easy and real-life examples Who This Book Is For If you are a system administrator with working knowledge of PowerShell and PowerCLI who wants to perform quick and easy scripting but at the same time achieve complex results and write production grade scripts, then this book is for you. What You Will Learn * Use GitHub for collaboration and Pester to automate unit tests * Write advanced reusable functions and dynamic variables and learn about error handling in PowerShell * Automate ESXi host installation using Auto-Deploy, host profile, and host image * Implement security best practices in a vSphere data center * Manage SRM, vCloud Air, and vRealize Operations environments * Access and utilize vSphere APIs to manage advanced aspects of vSphere and work with .NET view objects * Utilize REST APIs to manage vRealize Automation environments * Create a Windows GUI through the use of PowerShell and Sapien PrimalForms CE In Detail Have you ever wished that every morning you could automatically get a report with all the relevant information about your datacenter in exactly the same format you want? Or whether you could automate that boring, exhausting task? What if some crucial task needs to be performed on a regular basis without any error? PowerCLI scripts do all that and much more for VMware environments. It is built on top of the popular Windows PowerShell, with which you can automate server tasks and reduce manual input, allowing you to focus on more important tasks. This book will help you to achieve your goals by starting with a short refresher on PowerShell and PowerCLI and then covering the nuances of advanced functions and reusable scripts. Next you will learn how to build a vSphere-powered virtualized datacenter using PowerCLI while managing different aspects of the environment including automated installation, network, and storage. You will then manage different logical constructs of vSphere environment and different aspects of a virtual machine. Later, you will implement the best practices for a security implementation in vSphere Environment through PowerCLI before discovering how to manage other VMware environments such as SRM, vCloud Director and vCloud Air through PowerCLI. You will also learn to manage vSphere environments using advanced properties by accessing vSphere API and REST APIs through PowerCLI. Finally, you will build a Windows GUI application using PowerShell followed by a couple of sample scripts for reporting and managing vSphere environments with detailed explanations of the scripts. By the end of the book, you will have the required in-depth knowledge to master the art of PowerCLI scripting. Style and approach In this book, every topic is explained in a very easy-to-follow fashion with real-life, simple examples so that you get an idea of not only the topic but also the context in which it should be used or where it can be best utilized.

Mastering Predictive Analytics with R

by Rui Miguel Forte

This book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions, and how to move data around. No prior experience with machine learning or predictive modeling is assumed, however you should have a basic understanding of statistics and calculus at a high school level.

Mastering Probabilistic Graphical Models Using Python

by Ankur Ankan Abinash Panda

If you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian learning or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.

Mastering Public Relations

by Shannon A. Bowen Brad Rawlins Thomas Martin

This book provides an executive review of the field of public relations with a focus on what managers need to know in order to master the function quickly and effectively. Throughout the text, we integrate the academic with the professional by asking, how can an executive use this knowledge to make the most of the public relations function, department, and initiatives in order to help their whole organization be successful? , , , and of the book provide the busy manager with the taxonomy of the public relations field, provide research on the theory of public relations, and examine the structure of organizations and where public relations fits within that structure. , , , and examine how public relations should be conducted in order to achieve maximum results and provide a comprehensive review of public relations strategy, including how to conduct a public relations campaign. , , , and discuss the organizational settings most common in public relations: corporate, agency, government, or public affairs and nonprofit or advocacy groups and the public relations approaches common in each. We review what research finds regarding the most excellent ways to manage public relations and the best ways to analyze and address the ethical challenges to be faced in public relations. We occasionally use short case examples to illustrate and apply the main points managers will need to know in order to manage public relations effectively. Throughout this book, we focus on the managerial pursuits in public relations, such as strategic relationship maintenance, segmentation of publics, and conducting research. We offer insight into the managerial activities of issues management, lobbying and advocacy, creating stakeholder relationships, reputation management, ethical counsel, and corporate communication. We examine the most current thought in public relations to help the busy manager master the most important concepts in the field quickly, accessibly, and with an eye toward helping an organization or client achieve the most effective results through cutting-edge, modern, research-based strategic public relations management.

Mastering PyCharm

by Quazi Nafiul Islam

Use PyCharm with fluid efficiency to write idiomatic python codeAbout This BookUnderstand how PyCharm works and how you can leverage its strength to develop applications quicklyMaster PyCharm's editor to get a fast workflowFull of examples and illustrations that focus on the practical aspects of using PyCharmWho This Book Is ForIf you know PyCharm but want to understand it better and leverage its more powerful but less obvious tool set, this is the book for you. Serving as a launch pad for those who want to master PyCharm and completely harness its best features, it would be helpful if you were familiar with some of Python's most prominent tools such as virtualenv and Python's popular docstring formats such as reStructuredText and EpyType.What You Will LearnUnderstand the internal workings of the IntelliJ PlatformLeverage PyCharm's powerful search tools, and learn which ones are the best for you and your workflowCustomize PyCharm's enhanced Python interpreter and its inbuilt terminalDevelop web applications quickly and easily with different frameworks such as Flask and DjangoUnderstand how code completion works in PyCharm for Python and JavaScriptMake calls to external tools, and use PyCharm macros to your advantageIn DetailPyCharm is addictive, with powerful and configurable code completion, superb editing tools, top-notch support, diverse plugins, and a vibrant ecosystem to boot. Learning how PyCharm works and maximising the synergy of its powerful tools will help you to rapidly develop applications.From leveraging the power of the editor to understanding PyCharm's internals, this book will give you a comprehensive view of PyCharm and allow you to make your own choices about which workflow and tools are best for you.You will start by getting comfortable with PyCharm and making it look exactly like you want. You can customize the tools and taskbars to suit individual developers' coding styles. You also learn how to assign keyboard shortcuts. You will master debugging by inserting breakpoints, collecting runtime data, and debugging from the console. You will understand how PyCharm works underneath and how plugins such as Codemap, Vim, Bitbucket, Assets compressor, markdown, bash file, shortcut translator, and .gitignore leverage the power of the IntelliJ platform.You will become comfortable using the VCS interface in PyCharm and see the benefits of using it for some simple tasks as well as some more complex tasks such as partial commits using changelists.You will take an in-depth look at the various tools in PyCharm, improving your workflow drastically. Finally, you will deploy powerful PyCharm tools for Django, Flask, GAE, and Pyramid Development, becoming well acquainted with PyCharm's toolset for web development with popular platforms.Packed with insider tricks, this book will help you boost productivity with PyCharm.Style and approachAn easy-to-follow guide with plenty of examples and screenshots. Each topic starts off with the goal of enhancing or changing a part of PyCharm to make it suit your needs.

Mastering Python Data Visualization

by Kirthi Raman

Generate effective results in a variety of visually appealing charts using the plotting packages in PythonAbout This BookExplore various tools and their strengths while building meaningful representations that can make it easier to understand dataPacked with computational methods and algorithms in diverse fields of scienceWritten in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuseWho This Book Is ForIf you are a Python developer who performs data visualization and wants to develop existing knowledge about Python to build analytical results and produce some amazing visual display, then this book is for you. A basic knowledge level and understanding of Python libraries is assumed.What You Will LearnGather, cleanse, access, and map data to a visual frameworkRecognize which visualization method is applicable and learn best practices for data visualizationGet acquainted with reader-driven narratives and author-driven narratives and the principles of perceptionUnderstand why Python is an effective tool to be used for numerical computation much like MATLAB, and explore some interesting data structures that come with itExplore with various visualization choices how Python can be very useful in computation in the field of finance and statisticsGet to know why Python is the second choice after Java, and is used frequently in the field of machine learningCompare Python with other visualization approaches using Julia and a JavaScript-based framework such as D3.jsDiscover how Python can be used in conjunction with NoSQL such as Hive to produce results efficiently in a distributed environmentIn DetailPython has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, biological sciences, social science, health care, and many more. The variety of tools and approaches available within Python community is stunning, and can bolster and enhance visual story experiences.This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, which explains the transformation of data into information and eventually knowledge, this book subsequently covers the complete visualization process using the most popular Python libraries with working examples. You will learn the usage of Numpy, Scipy, IPython, MatPlotLib, Pandas, Patsy, and Scikit-Learn with a focus on generating results that can be visualized in many different ways. Further chapters are aimed at not only showing advanced techniques such as interactive plotting; numerical, graphical linear, and non-linear regression; clustering and classification, but also in helping you understand the aesthetics and best practices of data visualization. The book concludes with interesting examples such as social networks, directed graph examples in real-life, data structures appropriate for these problems, and network analysis.By the end of this book, you will be able to effectively solve a broad set of data analysis problems.Style and approachThe approach of this book is not step by step, but rather categorical. The categories are based on fields such as bioinformatics, statistical and machine learning, financial computation, and linear algebra. This approach is beneficial for the community in many different fields of work and also helps you learn how one approach can make sense across many fields

Mastering Python Design Patterns

by Sakis Kasampalis

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.

Mastering Python for Data Science

by Samir Madhavan

Explore the world of data science through Python and learn how to make sense of data About This Book * Master data science methods using Python and its libraries * Create data visualizations and mine for patterns * Advanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of data science is assumed. What You Will Learn * Manage data and perform linear algebra in Python * Derive inferences from the analysis by performing inferential statistics * Solve data science problems in Python * Create high-end visualizations using Python * Evaluate and apply the linear regression technique to estimate the relationships among variables. * Build recommendation engines with the various collaborative filtering algorithms * Apply the ensemble methods to improve your predictions * Work with big data technologies to handle data at scale In Detail Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide helps you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science. Beginning with the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden patterns and trends. You will use the matplot library to create high-end visualizations in Python and uncover the fundamentals of machine learning. Next, you will apply the linear regression technique and also learn to apply the logistic regression technique to your applications, before creating recommendation engines with various collaborative filtering algorithms and improving your predictions by applying the ensemble methods. Finally, you will perform K-means clustering, along with an analysis of unstructured data with different text mining techniques and leveraging the power of Python in big data analytics. Style and approach This book is an easy-to-follow, comprehensive guide on data science using Python. The topics covered in the book can all be used in real world scenarios.

Mastering Python for Finance

by James Ma Weiming

If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.

Mastering Python Forensics

by Dr Michael Spreitzenbarth

If you are a network security professional or forensics analyst who wants to gain a deeper understanding of performing forensic analysis with Python, then this book is for you. Some Python experience would be helpful.

Mastering Python High Performance

by Fernando Doglio

Measure, optimize, and improve the performance of your Python code with this easy-to-follow guide About This Book * Master the do's and don'ts of Python performance programming * Learn how to use exiting new tools that will help you improve your scripts * A step-by-step, conceptual guide to teach you how to optimize and fine-tune your critical pieces of code Who This Book Is For If you're a Python developer looking to improve the speed of your scripts or simply wanting to take your skills to the next level, then this book is perfect for you. What You Will Learn * Master code optimization step-by-step and learn how to use different tools * Understand what a profiler is and how to read its output * Interpret visual output from profiling tools and improve the performance of your script * Use Cython to create fast applications using Python and C * Take advantage of PyPy to improve performance of Python code * Optimize number-crunching code with NumPy, Numba, Parakeet, and Pandas In Detail Simply knowing how to code is not enough; on mission-critical pieces of code, every bit of memory and every CPU cycle counts, and knowing how to squish every bit of processing power out of your code is a crucial and sought-after skill. Nowadays, Python is used for many scientific projects, and sometimes the calculations done in those projects require some serious fine-tuning. Profilers are tools designed to help you measure the performance of your code and help you during the optimization process, so knowing how to use them and read their output is very handy. This book starts from the basics and progressively moves on to more advanced topics. You'll learn everything from profiling all the way up to writing a real-life application and applying a full set of tools designed to improve it in different ways. In the middle, you'll stop to learn about the major profilers used in Python and about some graphic tools to help you make sense of their output. You'll then move from generic optimization techniques onto Python-specific ones, going over the main constructs of the language that will help you improve your speed without much of a change. Finally, the book covers some number-crunching-specific libraries and how to use them properly to get the best speed out of them. After reading this book, you will know how to take any Python code, profile it, find out where the bottlenecks are, and apply different techniques to remove them. Style and approach This easy-to-follow, practical guide will help you enhance your optimization skills by improving real-world code.

Mastering Python Regular Expressions

by Víctor Romero Félix López

A short and straight to the point guide that explains the implementation of Regular Expressions in Python. This book is aimed at Python developers who want to learn how to leverage Regular Expressions in Python. Basic knowledge of Python is required for a better understanding.

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