
- 324 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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.
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Table of contents
- Cover Page
- Title Page
- Copyright Page
- Dedication
- About the Author
- About the Reviewer
- Acknowledgement
- Preface
- 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
- Index
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