Data is the new oil, but it comes crude. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis - you first need to wrestle and wrangle with data. Data ...Wrangling with Python teaches you the essentials that will get you up and running with data wrangling in no time.
Explore the features included in the latest versions of MQTT for IoT and M2M communications and use them with modern Python 3. Key Features * * Make your connected devices less prone to attackers by ...understanding security mechanisms * Take advantage of MQTT features for IoT and Machine-to-Machine communications * The only book that covers MQTT with a single language, Python Book Description MQTT is a lightweight messaging protocol for small sensors and mobile devices. This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python. The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. You will use different utilities and diagrams to understand the most important concepts related to MQTT. You will learn tomake all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server. You will also work with the different Quality of Service levels and later analyze and compare their overheads. You will write Python 3.x code to control a vehicle with MQTT messages delivered through encrypted connections (TLS 1.2), and learn how leverage your knowledge of the MQTT protocol to build a solution based on requirements. Towards the end, you will write Python code to use the PubNub cloud-based real-time MQTT provider to monitor a surfing competition. In the end, you will have a solution that was built from scratch by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards. What you will learn * * Learn how MQTT and its lightweight messaging system work * Understand the MQTT puzzle: clients, servers (formerly known as brokers), and connections * Explore the features included in the latest versions of MQTT for IoT and M2M communications * Publish and receive MQTT messages with Python * Learn the difference between blocking and threaded network loops * Take advantage of the last will and testament feature * Work with cloud-based MQTT interfaces in Python Who this book is for This book is for developers who want to learn about the MQTT protocol for their IoT projects. Prior knowledge of working with IoT and Python will be helpful.
This book demonstrates a set of simple to complex problems you may encounter while building machine learning models. You'll not only learn the best possible solutions to these problems but also find ...out how to build projects based on each problem mentioned in the book, with a practical approach and easy-to-follow examples.
This book helps machine learning professionals in developing AutoML systems that can be utilized to build ML solutions. This book covers the necessary foundations and shows the most practical ways ...possible to get to speed with regards to creating AutoML modules.
Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. This practical guide demonstrates the Python implementation of a number of ...functional programming techniques and design patterns. Through this book, you'll understand what functional programming is all about, its impact on.
Raspberry Pi 3 is a tiny affordable chip used to learn and program through interactive projects. It has gained a lot of traction as the first choice in single-board computers due to its versatility. ...It extends a wide range of support to Python programming. This recipe-based guide will allow you to showcase the capabilities of Raspberry Pi 3.
This book gives you the skills you need to use Python for penetration testing, with the help of detailed code examples. This book has been updated for Python 3.6.3 and Kali Linux 2018.1.
Your one-stop guide to using Python, creating your own hacking tools, and making the most out of resources available for this programming language Key Features * Comprehensive information on building ...a web application penetration testing framework using Python * Master web application penetration testing using the multi-paradigm programming language Python * Detect vulnerabilities in a system or application by writing your own Python scripts Book Description Python is an easy-to-learn and cross-platform programming language that has unlimited third-party libraries. Plenty of open source hacking tools are written in Python, which can be easily integrated within your script. This book is packed with step-by-step instructions and working examples to make you a skilled penetration tester. It is divided into clear bite-sized chunks, so you can learn at your own pace and focus on the areas of most interest to you. This book will teach you how to code a reverse shell and build an anonymous shell. You will also learn how to hack passwords and perform a privilege escalation on Windows with practical examples. You will set up your own virtual hacking environment in VirtualBox, which will help you run multiple operating systems for your testing environment. By the end of this book, you will have learned how to code your own scripts and mastered ethical hacking from scratch. What you will learn * Code your own reverse shell (TCP and HTTP) * Create your own anonymous shell by interacting with Twitter, Google Forms, and SourceForge * Replicate Metasploit features and build an advanced shell * Hack passwords using multiple techniques (API hooking, keyloggers, and clipboard hijacking) * Exfiltrate data from your target * Add encryption (AES, RSA, and XOR) to your shell to learn how cryptography is being abused by malware * Discover privilege escalation on Windows with practical examples * Countermeasures against most attacks Who this book is for This book is for ethical hackers; penetration testers; students preparing for OSCP, OSCE, GPEN, GXPN, and CEH; information security professionals; cybersecurity consultants; system and network security administrators; and programmers who are keen on learning all about penetration testing.
This book is a useful resource to perform data visualization with Python using the latest version of Matplotlib (2.1.x). You will create a variety of graphs and charts, and embed your plots within ...different third party tools. By the end of the book, you will build attractive, insightful and powerful visualizations to make better sense of your data.
Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and RAbout This BookThis easy-to-follow guide takes you through every step of the ...data wrangling process in the best possible wayWork with different types of datasets, and reshape the layout of your data to make it easier for analysisGet simple examples and real-life data wrangling solutions for data pre-processingWho This Book Is ForIf you are a data scientist, data analyst, or a statistician who wants to learn how to wrangle your data for analysis in the best possible manner, this book is for you. As this book covers both R and Python, some understanding of them will be beneficial.What You Will LearnRead a csv file into python and R, and print out some statistics on the dataGain knowledge of the data formats and programming structures involved in retrieving API dataMake effective use of regular expressions in the data wrangling processExplore the tools and packages available to prepare numerical data for analysisFind out how to have better control over manipulating the structure of the dataCreate a dexterity to programmatically read, audit, correct, and shape dataWrite and complete programs to take in, format, and output data setsIn DetailAround 80% of time in data analysis is spent on cleaning and preparing data for analysis. This is, however, an important task, and is a prerequisite to the rest of the data analysis workflow, including visualization, analysis and reporting. Python and R are considered a popular choice of tool for data analysis, and have packages that can be best used to manipulate different kinds of data, as per your requirements. This book will show you the different data wrangling techniques, and how you can leverage the power of Python and R packages to implement them.You’ll start by understanding the data wrangling process and get a solid foundation to work with different types of data. You’ll work with different data structures and acquire and parse data from various locations. You’ll also see how to reshape the layout of data and manipulate, summarize, and join data sets. Finally, we conclude with a quick primer on accessing and processing data from databases, conducting data exploration, and storing and retrieving data quickly using databases.The book includes practical examples on each of these points using simple and real-world data sets to give you an easier understanding. By the end of the book, you’ll have a thorough understanding of all the data wrangling concepts and how to implement them in the best possible way.Style and approachThis is a practical book on data wrangling designed to give you an insight into the practical application of data wrangling. It takes you through complex concepts and tasks in an accessible way, featuring information on a wide range of data wrangling techniques with Python and R
