The aim of the author of this article is to show the users of Geographical Information Systems how to present the distortions in a simple way. The intention of the author is also to popularize the ...knowledge in the scope of map projections and to inform the users of the maps that, despite all the advanced modern tools, an elimination of the problem, connected with the map projections and cartographical distortions occurring in them, has failed so far.
The author presents a brief overview of the measures in the scope of distortions and methods of their presentation. It is also shown how the users can generate the maps, presenting a distortion by themselves. It is much easier to perform this type of visualization with the help of “matplotlib library”, basically everyone can compile such a map.
Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python Key Features * * A step by step approach to creating interactive plots with Bokeh * Go from nstallation ...all the way to deploying your very own Bokeh application * Work with a real time datasets to practice and create your very own plots and applications Book Description Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free. This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization. The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh application from scratch. By the end of the book you will be able to create your very own Bokeh application. You will have gone through a step by step process that starts with understanding what Bokeh actually is and ends with building your very own Bokeh application filled with interactive and visually aesthetic plots. What you will learn * * Installing Bokeh and understanding its key concepts * Creating plots using glyphs, the fundamental building blocks of Bokeh * Creating plots using different data structures like NumPy and Pandas * Using layouts and widgets to visually enhance your plots and add a layer of interactivity * Building and hosting applications on the Bokeh server * Creating advanced plots using spatial data Who this book is for This book is well suited for data scientists and data analysts who want to perform interactive data visualization on their web browsers using Bokeh. Some exposure to Python programming will be helpful, but prior experience with Bokeh is not required.
Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn ...machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart-it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand. - Python data science-manipulating data and data visualization - Data cleansing - Understanding Machine learning algorithms - Supervised learning algorithms - Unsupervised learning algorithms - Deploying machine learning models Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level.
This book teaches you to leverage deep learning models in performing various NLP tasks along with showcasing the best practices in dealing with the NLP challenges. The book equips you with practical ...knowledge to implement deep learning in your linguistic applications using NLTk and Python's popular deep learning library, TensorFlow.
Become a master at penetration testing using machine learning with Python Key Features * Identify ambiguities and breach intelligent security systems * Perform unique cyber attacks to breach robust ...systems * Learn to leverage machine learning algorithms Book Description Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it's important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you've gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you'll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you'll focus on topics such as network intrusion detection and AV and IDS evasion. We'll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will learn * Take an in-depth look at machine learning * Get to know natural language processing (NLP) * Understand malware feature engineering * Build generative adversarial networks using Python libraries * Work on threat hunting with machine learning and the ELK stack * Explore the best practices for machine learning Who this book is for This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary.
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.
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