Design, simulate, and program interactive robots Key Features Design, simulate, build, and program an interactive autonomous mobile robot Leverage the power of ROS, Gazebo, and Python to enhance your robotic skills A hands-on guide to creating an autonomous mobile robot with the help of ROS and PythonBook DescriptionRobot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implement different capabilities in a rob...
Interaktive Datenvisualisierung in Wissenschaft Und Unternehmenspraxis
* Quick start to learning python-very example oriented approach * Book has its own Web site established by the author: http://diveintopython.org/ Author is well known in the Open Source community and the book has a unique quick approach to learning an object oriented language.
If C and C++ are the languages of choice for game programmers, why should you consider using Python? Game Programming with Python explores this question in depth and teaches you why and how Python can reduce your development time, improve your technical designs, and make the entire development process more efficient. Game Programming with Python is about building games using Python. It deals with general concepts of game development and specifics that apply when using Python for game developmen...
Leverage the simplicity of Python and available libraries to build web security testing tools for your applicationKey FeaturesUnderstand the web application penetration testing methodology and toolkit using PythonWrite a web crawler/spider with the Scrapy libraryDetect and exploit SQL injection vulnerabilities by creating a script all by yourselfBook DescriptionWeb penetration testing is the use of tools and code to attack a website or web app in order to assess its vulnerability to external thr...
A Practical Guide to Quantum Machine Learning and Quantum Optimization
by Elias Fernandez-Combarro Alvarez and Samuel Gonzalez Castillo
Work with fully explained algorithms and ready-to-use examples that can be run on quantum simulators and actual quantum computers with this comprehensive guideKey Features Get a solid grasp of the principles behind quantum algorithms and optimization with minimal mathematical prerequisites Learn the process of implementing the algorithms on simulators and actual quantum computers Solve real-world problems using practical examples of methods Book DescriptionThis book provides deep coverage of m...
This invaluable resource offers tutorials and real-world examples as well as thorough language references for Web markup languages (HTML/XHTML and CSS), and popular scripting languages (JavaScript, Perl, and PHP)Examines the role of JavaScript, CGI (with examples in Perl and Python), and PHP on the Web and shows how to best use them allIncludes a valuable reference section on each technology that can be used for review and consultation
Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and using syntactic dependencies. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to...
A Comprehensive Guide to Python Programming Language
by Israel Edosomwan
Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how to write Python code to obtain, transform, and analyse data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this com...
Python Made Simple: Learn Python programming in easy steps with examples
by Rydhm Beri
No detailed description available for "TensorFlow Pocket Primer".
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks...
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks...