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Data Analysis with Python
Data Analysis with Python

Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you're likely to meet in today. The first of these is an image recognition application with TensorFlow - embracing the importance today of AI in your data analysis. The secon ...
Machine Learning for Finance
Machine Learning for Finance

Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself. The book is based on Jannes Klaas experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on advanced machine learning concepts and ideas that can be applied in a wide variety of ways. The book systematically explains how machine learning works on structured data, text, images, and time series. You'll cover generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. Later chapters will discuss how to fight bias in machine learning. The book ends with an exploration of Bayesian inference and prob ...
Learn Linux in a Month of Lunches
Learn Linux in a Month of Lunches

Learn Linux in a Month of Lunches shows you how to install and use Linux for all the things you do with your OS, like connecting to a network, installing software, and securing your system. Whether you're just curious about Linux or have to get up and running for your job, you'll appreciate how this book concentrates on the tasks you need to know how to do in 23 easy lessons. If you've only used Windows or Mac OS X, you may be daunted by the Linux operating system. And yet learning Linux doesn't have to be hard, and the payoff is great. Linux is secure, flexible, and free. It's less susceptible to malicious attacks, and when it is attacked, patches are available quickly. If you don't like the way it looks or behaves, you can change it. And best of all, Linux allows users access to different desktop interfaces and loads of software, almost all of it completely free. Learn Linux in a Month of Lunches shows you how to install and use Linux for all the things you do with your OS, lik ...
Text Analytics with Python, 2nd Edition
Text Analytics with Python, 2nd Edition

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You'll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conferenc ...
Beginning App Development with Flutter
Beginning App Development with Flutter

Create iOS and Android apps with Flutter using just one codebase. App development on multiple platforms has historically been difficult and complex. This book breaks down complex concepts and tasks into easily digestible segments with examples, pictures, and hands-on labs with starters and solutions. In doing so, you'll develop a basic understanding of the Dart programming language; the entire Flutter development toolchain; the differences between stateful and stateless widgets; and a working knowledge of the architecture of apps. All the most important parts of app development with Flutter are covered in this book. Work with themes and styles. Develop custom widgets. Teach your app to respond to gestures like taps, swipes, and pinches. Design, create and control the layout of your app. Create tools to handle form data entry from users. And ultimately create killer multiscreen apps with navigation, menus, and tabs. Flutter is Google's new framework for creating mobile apps that ...
Exploring Blazor
Exploring Blazor

Build and develop web applications with Blazor in C#. This book will cover all three types of Blazor – server-side, client-side, and hosted along with other features of the technology. You'll see that Blazor is a web UI framework based on C#, Razor, and HTML and how it runs front-end logic using C# either on the server or on the browser using WebAssembly. The author starts by introducing WebAssembly and gives an overview of Blazor along with its various categories. Next, you'll get started with Blazor where you learn the basics, including Razor syntax implementation. Here you will go over the major differences between Blazor and Razor and how the syntax works. A demo of the layout and navigation for server-side Blazor is followed by usage of Razor syntax to control an application in client-side Blazor. Further, you will go through the project layout, navigation, and routes for the API. Here, you will understand how to access the API from the front end and use the shared library fo ...
Developing Accessible iOS Apps
Developing Accessible iOS Apps

Any developer aiming for a global audience needs to cover a series of requisites for their apps, and one of them is to make them accessible. Just having an app in the App Store is not enough for it to be a global success anymore. More than that, it is arguably our duty as developers to create inclusive apps that anyone can use. Apple provides us with excellent tools for creating accessible apps. However, many developers just don't know about them or think they're difficult to us. This concise guide offers a focused look at breaking those myths and proving that creating accessible apps is very easy, and that it's just as easy to embed accessibility into the development process of your team. You'll have a look at the tools iOS provides. Some, like zoom, button shapes, etc., come integrated in the operating system. Others, like VoiceOver, Larger Accessibility Sizes with Dynamic Types, and Smart Inverted Colours will need extra work to support appropriately. Then go from the basics o ...
Foundations of Information Security
Foundations of Information Security

A high-level survey of the information security field by best-selling author Jason Andress. The book covers the basics of a wide variety of topics, from authentication and authorization to maintaining confidentiality and performing penetration testing. Using real-world security breaches as examples, Foundations of Information Security explores common applications of these concepts, such as operations security, network design, hardening and patching operating systems, securing mobile devices, as well as tools for assessing the security of hosts and applications. You'll also learn the basics of topics like: Multifactor authentication and how biometrics and hardware tokens can be used to harden the authentication process; The principles behind modern cryptography, including symmetric and asymmetric algorithms, hashes, and certificates; The laws and regulations that protect systems and data; Anti-malware tools, firewalls, and intrusion detection systems; Vulnerabilities such as buffe ...
Automate the Boring Stuff with Python, 2nd Edition
Automate the Boring Stuff with Python, 2nd Edition

If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised second edition of the best-selling classic Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. You'll learn the basics Python and explore Python's rich library of modules for performing specific tasks, like scraping data off websites, reading PDF and Word documents, and automating clicking and typing tasks. The second edition of this international fan favorite includes a brand-new chapter on input validation, as well as tutorials on automating Gmail and Google Sheets, plus tips on automatically updating CSV files. You'll learn how to create programs that effortlessly perform useful feats of automation to: Search for text in a file or ac ...
Prepare Your Data for Tableau
Prepare Your Data for Tableau

Focus on the most important and most often overlooked factor in a successful Tableau project - data. Without a reliable data source, you will not achieve the results you hope for in Tableau. This book does more than teach the mechanics of data preparation. It teaches you: how to look at data in a new way, to recognize the most common issues that hinder analytics, and how to mitigate those factors one by one. Tableau can change the course of business, but the old adage of "garbage in, garbage out" is the hard truth that hides behind every Tableau sales pitch. That amazing sales demo does not work as well with bad data. The unfortunate reality is that almost all data starts out in a less-than-perfect state. Data prep is hard. Traditionally, we were forced into the world of the database where complex ETL (Extract, Transform, Load) operations created by the data team did all the heavy lifting for us. Fortunately, we have moved past those days. With the introduction of the Tableau Dat ...
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