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Learn Autonomous Programming with Python | AI, ML & RPA Guide |Varun P Divadkar | New Editions| BPB Publications ( English Medium)
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| 607-747 |
Learn Autonomous Programming with Python | AI, ML & RPA Guide |Varun P Divadkar | New Editions| BPB Publications ( English Medium)
"Learn Autonomous Programming with Python" is a comprehensive guide that delves into the world of artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) using the popular programming language, Python. Authored by Varun P Divadkar, this new edition from BPB Publications is designed to help beginners and experienced programmers alike to master the concepts and techniques required to build autonomous systems.
The book starts with an introduction to Python programming, covering the basics of syntax, data types, control structures, functions, and classes. It then progresses to more advanced topics such as AI algorithms, ML models, and RPA frameworks. Readers will learn how to create intelligent systems that can analyze data, make predictions, automate tasks, and much more.
Key features of "Learn Autonomous Programming with Python" include:
- Step-by-step explanations and examples that make complex concepts easy to understand
- Hands-on projects that allow readers to apply their knowledge in real-world scenarios
- Practical tips and best practices for developing efficient and reliable autonomous systems
- Guidance on using popular libraries and frameworks such as TensorFlow, Scikit-Learn, OpenCV, and UiPath
Whether you are a student looking to explore the exciting field of AI or a professional seeking to enhance your skills in ML and RPA, this book has something for everyone. By the end of it, you will be equipped with the knowledge and confidence to create your own autonomous programs and solutions.
Don't miss out on this opportunity to learn from one of the leading experts in autonomous programming. Get your copy of "Learn Autonomous Programming with Python" today!
Publisher : BPB Publications, Publication date : 2 February 2024, Language : English, Print length : 324 pages, ISBN-10 : 9355517637, ISBN-13 : 978-9355517630, Reading age : 18 years and up, Item Weight : 538 g, Dimensions : 19.05 x 1.85 x 23.5 cm, Country of Origin : India, Packer : BPB Publications, 20 Ansari Road, Darya Ganj, New Delhi-110002, India
Learn Autonomous Programming with Python by Varun P Divadkar is a forward-looking and practical guide that empowers developers to harness Python’s capabilities in cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), deep learning, and robotic process automation (RPA). Designed for modern learners and professionals, this book provides a comprehensive pathway to understanding and implementing automation-driven solutions in today’s rapidly evolving digital landscape.
With the rise of Industry 4.0, the demand for intelligent systems and automated workflows has grown significantly. This book addresses that need by introducing readers to the core concepts and tools required to build autonomous systems using Python. It begins with foundational topics and gradually progresses into advanced applications, ensuring a smooth and structured learning experience.
One of the key highlights of this book is its integration of multiple advanced domains into a single cohesive guide. Readers will explore how Python can be used to develop AI and ML models, enabling systems to learn from data and make intelligent decisions. The book also delves into deep learning techniques, providing insights into building neural networks and working with complex data structures for high-level problem solving.
In addition to AI and ML, the book emphasizes robotic process automation (RPA), a technology that is transforming business operations by automating repetitive tasks. Readers will learn how to automate everyday activities such as web interactions, email processing, spreadsheet management, and data extraction from PDFs and images. These practical applications make the book highly relevant for professionals looking to improve productivity and efficiency.
The book also introduces tools and platforms that enhance automation capabilities, including integration with UiPath and the use of PyScript for building interactive web-based applications. It explores how to design workflows, orchestrate processes, and implement hyperautomation strategies that combine multiple technologies for maximum impact.
Practical examples and real-world scenarios are a core part of the learning experience. The book provides hands-on guidance for building automation scripts, developing intelligent applications, and testing solutions effectively. This ensures that readers not only understand theoretical concepts but also gain the skills needed to apply them in real projects.
Another important aspect covered in the book is test automation, which plays a critical role in ensuring the reliability and performance of automated systems. By learning how to design and execute automated tests, readers can build robust and scalable solutions that meet industry standards.
This book is ideal for developers, data enthusiasts, IT professionals, and anyone interested in exploring the intersection of Python and automation technologies. Whether you are looking to enhance your technical skills, transition into AI and automation roles, or build innovative solutions, this guide provides the knowledge and tools required to succeed.
By the end of this book, you will have a strong understanding of how to leverage Python for autonomous programming and automation. Learn Autonomous Programming with Python equips you with the expertise to create intelligent systems, streamline workflows, and stay competitive in the era of smart technologies.
Search Keywords - Learn Autonomous Programming with Python book, Varun P Divadkar books, AI ML RPA guide, Python programming for beginners, Best books on artificial intelligence, Machine learning tutorials with Python, Top programming books for AI enthusiasts, BPB Publications latest editions, How to build autonomous systems using Python, Popular libraries for AI development, Step-by-step guide for ML projects, Introduction to robotic process automation, Beginner-friendly AI books, Hands-on projects in Python, Practical tips for developing intelligent systems, TensorFlow tutorials for beginners, Scikit-Learn documentation, OpenCV programming guide, UiPath automation tools, Where to buy Learn Autonomous Programming with Python ||Varun P Divadkar ||BPB Publications 1. Learn Autonomous Programming with Python book, 2. Varun P Divadkar book, 3. AI, ML & RPA Guide book, 4. BPB Publications book, 5. New Editions of Learn Autonomous Programming with Python, 6. Best Python programming books, 7. Autonomous programming for beginners, 8. Python programming guide for AI and ML, 9. How to learn Python for robotics, 10. Top books on artificial intelligence and machine learning
| SKU / BOOK Code: | PY-AUTO-VPD-2024 |
| Publisher: | BPB Publications |
| Author: | Varun P Divadkar (Author) |
| Binding Type: | Paperback |
| No. of Pages: | 324 |
| ISBN-10: | 9355517637 |
| ISBN-13: | 978-9355517630 |
| Edition: | New Editions |
| Language: | English Medium |
| Publish Year: | 2024-02 |
| Weight (g): | 538 |
| Product Condition: | New |
| Reading Age: | Above 18 Years |
| Country of Origin: | India |
| Genre: | Computers & Internet |
| Manufacturer: | BPB Publications |
| Importer: | BPB Publications |
| Packer: | Fullfilled by Supplier |
Learn Autonomous Programming with Python | AI, ML & RPA Guide |Varun P Divadkar | New Editions| BPB Publications ( English Medium)
"Learn Autonomous Programming with Python" is a comprehensive guide that delves into the world of artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) using the popular programming language, Python. Authored by Varun P Divadkar, this new edition from BPB Publications is designed to help beginners and experienced programmers alike to master the concepts and techniques required to build autonomous systems.
The book starts with an introduction to Python programming, covering the basics of syntax, data types, control structures, functions, and classes. It then progresses to more advanced topics such as AI algorithms, ML models, and RPA frameworks. Readers will learn how to create intelligent systems that can analyze data, make predictions, automate tasks, and much more.
Key features of "Learn Autonomous Programming with Python" include:
- Step-by-step explanations and examples that make complex concepts easy to understand
- Hands-on projects that allow readers to apply their knowledge in real-world scenarios
- Practical tips and best practices for developing efficient and reliable autonomous systems
- Guidance on using popular libraries and frameworks such as TensorFlow, Scikit-Learn, OpenCV, and UiPath
Whether you are a student looking to explore the exciting field of AI or a professional seeking to enhance your skills in ML and RPA, this book has something for everyone. By the end of it, you will be equipped with the knowledge and confidence to create your own autonomous programs and solutions.
Don't miss out on this opportunity to learn from one of the leading experts in autonomous programming. Get your copy of "Learn Autonomous Programming with Python" today!
Publisher : BPB Publications, Publication date : 2 February 2024, Language : English, Print length : 324 pages, ISBN-10 : 9355517637, ISBN-13 : 978-9355517630, Reading age : 18 years and up, Item Weight : 538 g, Dimensions : 19.05 x 1.85 x 23.5 cm, Country of Origin : India, Packer : BPB Publications, 20 Ansari Road, Darya Ganj, New Delhi-110002, India
Learn Autonomous Programming with Python by Varun P Divadkar is a forward-looking and practical guide that empowers developers to harness Python’s capabilities in cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), deep learning, and robotic process automation (RPA). Designed for modern learners and professionals, this book provides a comprehensive pathway to understanding and implementing automation-driven solutions in today’s rapidly evolving digital landscape.
With the rise of Industry 4.0, the demand for intelligent systems and automated workflows has grown significantly. This book addresses that need by introducing readers to the core concepts and tools required to build autonomous systems using Python. It begins with foundational topics and gradually progresses into advanced applications, ensuring a smooth and structured learning experience.
One of the key highlights of this book is its integration of multiple advanced domains into a single cohesive guide. Readers will explore how Python can be used to develop AI and ML models, enabling systems to learn from data and make intelligent decisions. The book also delves into deep learning techniques, providing insights into building neural networks and working with complex data structures for high-level problem solving.
In addition to AI and ML, the book emphasizes robotic process automation (RPA), a technology that is transforming business operations by automating repetitive tasks. Readers will learn how to automate everyday activities such as web interactions, email processing, spreadsheet management, and data extraction from PDFs and images. These practical applications make the book highly relevant for professionals looking to improve productivity and efficiency.
The book also introduces tools and platforms that enhance automation capabilities, including integration with UiPath and the use of PyScript for building interactive web-based applications. It explores how to design workflows, orchestrate processes, and implement hyperautomation strategies that combine multiple technologies for maximum impact.
Practical examples and real-world scenarios are a core part of the learning experience. The book provides hands-on guidance for building automation scripts, developing intelligent applications, and testing solutions effectively. This ensures that readers not only understand theoretical concepts but also gain the skills needed to apply them in real projects.
Another important aspect covered in the book is test automation, which plays a critical role in ensuring the reliability and performance of automated systems. By learning how to design and execute automated tests, readers can build robust and scalable solutions that meet industry standards.
This book is ideal for developers, data enthusiasts, IT professionals, and anyone interested in exploring the intersection of Python and automation technologies. Whether you are looking to enhance your technical skills, transition into AI and automation roles, or build innovative solutions, this guide provides the knowledge and tools required to succeed.
By the end of this book, you will have a strong understanding of how to leverage Python for autonomous programming and automation. Learn Autonomous Programming with Python equips you with the expertise to create intelligent systems, streamline workflows, and stay competitive in the era of smart technologies.
Search Keywords - Learn Autonomous Programming with Python book, Varun P Divadkar books, AI ML RPA guide, Python programming for beginners, Best books on artificial intelligence, Machine learning tutorials with Python, Top programming books for AI enthusiasts, BPB Publications latest editions, How to build autonomous systems using Python, Popular libraries for AI development, Step-by-step guide for ML projects, Introduction to robotic process automation, Beginner-friendly AI books, Hands-on projects in Python, Practical tips for developing intelligent systems, TensorFlow tutorials for beginners, Scikit-Learn documentation, OpenCV programming guide, UiPath automation tools, Where to buy Learn Autonomous Programming with Python ||Varun P Divadkar ||BPB Publications 1. Learn Autonomous Programming with Python book, 2. Varun P Divadkar book, 3. AI, ML & RPA Guide book, 4. BPB Publications book, 5. New Editions of Learn Autonomous Programming with Python, 6. Best Python programming books, 7. Autonomous programming for beginners, 8. Python programming guide for AI and ML, 9. How to learn Python for robotics, 10. Top books on artificial intelligence and machine learning
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