Learn Autonomous Programming With Python

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Learn Autonomous Programming with Python

Unleash the hidden potential of Python to emerge as a change maker of contemporary industry KEY FEATURES ● Explore Python commands for RPA, workflows and hyperautomation. ● Concise chapters with lucid examples and elaborate codes that make learning interesting. ● Practical industry use case at the end of every chapter to highlight its real world application. DESCRIPTION The current industry (also called Industry 4.0) has witnessed an unprecedented expansion of technology in a short span of time, owing to an exponential increase in computational power coupled with internet technology. Consequently, domains like artificial intelligence, machine learning, deep learning and robotic process automation have gained prominence and become the backbone of organizations, making it inevitable for professionals to upgrade their skills in these domains. Orchestrate your work with AI and ML. Learn RPA's power, conduct web symphonies, utilize spreadsheets, and automate emails. You can also extract data from PDFs and images, choreograph applications, and play with deep learning. Design workflows, create hyperautomation finales, and combine Python with UiPath. You can further build a solid stage for your projects with PyScript, and continue with test automation. This book equips you to revolutionize your work, one Python script at a time. This book can be used as ready to reference as well as a user manual for quick solutions to common organizational needs and even for brushing up on key technical domain concepts. WHAT YOU WILL LEARN ● You will have a clear understanding of Python and create concise, flexible and maintainable applications for current industry needs. ● You will explore web scraping techniques using powerful libraries to extract valuable data from the web. ● You will have a high level overview of fundamentals in ML, deep learning, RPA, and hyperautomation. ● You will learn to write compact and maintainable code in Python catering to typical applications in contemporary industries. ● You will also learn how to apply your learnings to real world industry scenarios using the practical Python use cases presented at the end of each chapter. WHO THIS BOOK IS FOR This book is specifically meant for students and professionals who have prior working knowledge of Python from a basic to intermediate level and would want to expand their horizon of Python programming. TABLE OF CONTENTS 1. Why Python for Automation? 2. RPA Foundations 3. Getting Started with AI/ML in Python 4. Automating Web Scraping 5. Automating Excel and Spreadsheets 6. Automating Emails and Messaging 7. Working with PDFs and Images 8. Mechanizing Applications, Folders and Actions 9. Intelligent Automation Part 1: Using Machine Learning 10. Intelligent Automation Part 2: Using Deep Learning 11. Automating Business Process Workflows 12. Hyperautomation 13. Python and UiPath 14. Architecting Automation Projects 15. The PyScript Framework 16. Test Automation in Python
Artificial Intelligence with Python

Author: Prateek Joshi
language: en
Publisher: Packt Publishing Ltd
Release Date: 2017-01-27
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Learn Robotics Programming

Build and program intelligent robots using Python and Raspberry Pi with this beginner-friendly guide packed with hands-on projects that introduce core concepts in robotics, automation, and AI Key Features Get up and running with robotics by building your first intelligent robot using Python and Raspberry Pi Learn to integrate sensors, motors, and wireless controls to create interactive, autonomous behaviors powered by real-world input Discover beginner-friendly AI concepts like speech recognition and image processing, and control your robot remotely using Wi-Fi or mobile devices Book DescriptionWe live in an age where the most difficult human tasks are now automated. Smart and intelligent robots, which will perform different tasks precisely and efficiently, are the requirement of the hour. A combination of Raspberry Pi and Python works perfectly when making these kinds of robots. Learn Robotics Programming starts by introducing you to the basic structure of a robot, along with how to plan, build, and program it. As you make your way through the book, you will gradually progress to adding different outputs and sensors, learning new building skills, and writing code for interesting behaviors with sensors. You’ll also be able to update your robot, and set up web, phone, and Wi-Fi connectivity in order to control it. By the end of the book, you will have built a clever robot that can perform basic artificial intelligence (AI) operations.What you will learn Configure a Raspberry Pi for use in a robot Interface motors and sensors with a Raspberry Pi Implement code to make interesting and intelligent robot behaviors Understand the first steps in AI behavior such as speech recognition visual processing Control AI robots using Wi-Fi Plan the budget for requirements of robots while choosing parts Who this book is for This book is ideal for beginner programmers, developers, and tech enthusiasts interested in robotics and developing a fully functional robot. Whether you're a self-learner or a maker with an interest in automation, this hands-on guide will help you build real working robots from scratch. No prior experience in robotics or electronics is required — just basic programming knowledge and a curiosity to learn.