Python project pro VOL-6
50 industry-ready projects for aspiring software professionals
Learn how to containerize applications with Docker, automate deployments using GitHub Actions, deploy Python applications to the cloud, integrate AWS S3, monitor applications with the ELK Stack, and build Slack bots for deployment notifications.
Master industry-standard tools including Docker, GitHub Actions, AWS, Heroku, Elasticsearch, Logstash, Kibana, Slack APIs, Flask, and Python
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About
About the Book
Python Project Pro: 50 Industry-Ready Projects for Aspiring Software Professionals (Vol. 6) takes readers beyond application development into the world of DevOps, Continuous Integration/Continuous Deployment (CI/CD), Cloud Computing, and Modern Software Delivery. As organizations increasingly adopt cloud-native architectures and automated deployment pipelines, DevOps has become one of the most valuable skills for software developers, cloud engineers, and IT professionals.
This volume bridges the gap between writing code and deploying production-ready applications. Rather than focusing solely on programming, readers will learn how to automate software delivery, containerize applications, integrate cloud services, monitor system health, and streamline deployment workflows using modern DevOps tools and best practices.
Through practical, real-world projects, readers will gain hands-on experience with Docker, GitHub Actions, Cloud Deployment Platforms, Amazon Web Services (AWS), Elastic Stack (ELK), Slack Integration, and Infrastructure Automation. Each project demonstrates how professional software teams build, test, deploy, monitor, and maintain applications efficiently and reliably.
The projects follow industry-standard DevOps workflows, covering version control, automated testing, containerization, cloud deployment, monitoring, logging, and team collaboration. By completing these projects, readers will build a portfolio that reflects the skills expected of modern DevOps Engineers, Cloud Engineers, Site Reliability Engineers (SREs), and Full-Stack Developers.
Inside this volume you'll learn
- DevOps Fundamentals
- Continuous Integration (CI)
- Continuous Deployment (CD)
- Docker Containerization
- GitHub Actions Automation
- Cloud Application Deployment
- AWS Cloud Services
- Amazon S3 Integration
- Deployment Automation
- Infrastructure as Code Concepts
- Centralized Logging
- ELK Stack Monitoring
- Slack Bot Integration
- DevOps Best Practices
- Production Deployment Strategies
- Professional Software Delivery Pipelines
Featured Projects
- Dockerized Flask Application
- CI/CD Pipeline using GitHub Actions
- Python Application Deployment on Heroku
- AWS S3 File Uploader Tool
- Monitoring Logs using the ELK Stack
- Slack Notification Bot for Deployment Updates
Who should read this book?
- BCA, MCA, B.Tech and M.Tech students
- Computer Science and IT professionals
- Python Developers
- Full-Stack Developers
- DevOps Engineers
- Cloud Engineers
- Site Reliability Engineers (SREs)
- Software Deployment Engineers
- Automation Engineers
- Freelancers
- Anyone interested in modern software delivery and cloud technologies
Whether you're preparing for cloud certifications, DevOps interviews, software engineering roles, or enterprise application deployment, this volume equips you with practical, industry-ready skills used by leading technology companies worldwide.
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About the Author
Anshuman Kumar Mishra, M.Tech (Computer Science) Assistant Professor, Doranda College, Ranchi University
Prolific Author of 50+ Books on AI, Machine Learning & Computer Science | 20+ Years Experience
Anshuman Kumar Mishra is a dedicated educator, researcher, and highly prolific author with over 20 years of experience in Computer Science and Information Technology. Holding an M.Tech in Computer Science from BIT Mesra, he brings a rare combination of academic depth and practical teaching expertise.
Currently serving as Assistant Professor at Doranda College under Ranchi University, he has mentored thousands of students, helping them build strong foundations in programming, data science, and artificial intelligence. His student-centric teaching style emphasizes conceptual clarity, hands-on practice, and real-world application.
Anshuman is a prolific author with more than 50 books published across a wide spectrum of computer science and emerging technology domains. From foundational programming languages to advanced topics in Artificial Intelligence, Machine Learning, Reinforcement Learning, Decision Theory, and Computer Vision — his books are widely appreciated by students, educators, and professionals for their clear explanations, strong theoretical foundation, and practical approach.
His extensive body of work reflects his deep commitment to making complex subjects accessible and meaningful for learners at all levels. He is particularly recognized for creating well-structured learning paths that help readers progress from beginner to advanced levels with confidence.
Driven by the mission to democratize quality technical education, Anshuman continues to write and update books that bridge the gap between academic theory and industry practice.
When not teaching or writing, he actively follows and explores new developments in AI, Quantum Machine Learning, and Ethical Intelligence systems.
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