Mr. Ritesh Jain
Assistant Professor at Guru Nanak Dev, under the Directorate of Training and Technical Education, Government of NCT of Delhi.
Whether you are taking your first steps into programming or strengthening your technical skills, this book helps you understand concepts, practice confidently, and discover what you can create with Python.
Learn. Practice. Experiment. Innovate.
Meet the Authors
Dr. Preeti Saini
Dr. Preeti Saini is serving as an Assistant Professor in the Department of Computer Engineering at Guru Nanak Dev DSEU Campus, Delhi Skill and Entrepreneurship University. Her teaching and research interests include Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Python Programming, Data Structures, and E-Commerce.
Prior to her current role, she has worked with the Department of Education (DOE) and various affiliated institutes of GGSIPU, gaining rich experience in teaching and research. She completed her M.Tech from Banasthali Vidyapith, a premier women’s university, and is a qualified CBSE-UGC-NET candidate. She has also cleared multiple national-level competitive examinations.
Dr. Preeti Saini has a keen interest in Artificial Intelligence (AI) and continues to contribute to this evolving field through research, teaching, and active academic involvement. She is committed to fostering industry-oriented learning, innovation, and research among students through project-based learning, mentoring, and interdisciplinary research.
Awards, Achievements, and Recognitions
- D. in Computer Science & Engineering from NSUT East Campus (formerly AIACTR), affiliated with Guru Gobind Singh Indraprastha University (GGSIPU), Delhi.
- Qualified UGC-NET (Computer Science & Applications).
- Published research papers in reputed SCIE, ESCI, and Scopus-indexed journals.
- Reviewer for reputed international journals and conferences, including Springer, Elsevier, SCIE/ESCI-indexed journals, and IEEE conferences.
- Appointed to the Department of Training and Technical Education (DTTE), Government of NCT of Delhi, through the Union Public Service Commission (UPSC)
- Actively involved in curriculum development, academic administration, student mentoring, and Outcome-Based Education (OBE) implementation.
- Participated in and presented research at various national and international conferences in the fields of Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
Published Journals
- Saini P, Nagpal B (2023) PSO-CNN-Bi-LSTM: A Hybrid Optimization-Enabled Deep Learning Model for Smart Farming. Environmental Modeling & Assessment, 1-18. https://doi.org/10.1007/s10666-023-09920-2 [Status: Accepted & Published, SCIE, IF=2.4, Springer]
- Saini P, Nagpal B (2023) Analysis of Missing Data and Comparing the Accuracy of Imputation Methods Using Wheat Crop Data. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-17178-9 [Status: Accepted & Published, SCIE, IF=3.6, Springer]
- Saini P, Nagpal B, Garg P, Kumar S (2023) CNN-BI-LSTM-CYP: A Deep Learning Approach for Sugarcane Yield Prediction. Sustainable Energy Technologies and Assessments. 57. 103263. https://doi.org/10.1016/j.seta.2023 [Status: Accepted & Published, SCIE, IF=8, Elsevier]
- Saini P, Nagpal B, Garg P, Kumar S (2023) Evaluation of Remote Sensing and Meteorological Parameters for Yield Prediction of Sugarcane (Saccharum officinarum L.) Crop. Brazilian Archives of Biology and Technology, 66: e23220781, ISSN 1678-4324. https://doi.org/10.1590/1678-4324-2023220781 [Status: Accepted & Published, SCIE, IF=1.18]
- Saini P, Nagpal B (2022) Empirical Survey Analysis For Crop Yield Prediction & Identification of Factors Affecting Yield Gaps. Journal of Pharmaceutical Negative Results, 13, 1318–1329. https://doi.org/10.47750/pnr.2022.13. S05.207 [Status: Accepted & Published, ESCI & Scopus Indexed]
- Saini P, Nagpal B (2022) Efficient Crop Yield Prediction of Kharif Crop using Deep Neural Network. IEEE International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), 376-380. https://doi.org 10.1109/CISES54857.2022.9844369. [IEEE Xplore: Presented & Published]
- Saini P, Nagpal B (2022) Deep-LSTM Model for Wheat Crop Yield Prediction in India. IEEE International Conference on Computational Intelligence and Communication Technologies (CCICT), ISBN:978-1-6654-7224-1, 73-78. https://doi.org 10.1109/CCiCT56684.2022.00025. [IEEE Xplore: Presented & Published]
Mr. Ritesh Jain
Mr. Ritesh Jain is currently serving as an Assistant Professor at Guru Nanak Dev DSEU Campus, Sector-15, Rohini, New Delhi, under the Directorate of Training and Technical Education (DTTE), Government of NCT of Delhi. He brings over 17 years of experience in teaching, mentoring, and guiding students in the fields of Computer Engineering and Information Technology.
Academic & Professional Background:
- Current Designation:Assistant Professor, Guru Nanak Dev DSEU Campus, Rohini, New Delhi.
- Prior Experience:Contributed to several engineering institutions, including Delhi Technological University (DTU / formerly DCE), Chaudhary Brahm Prakash Government Engineering College, and Ambedkar Institute of Technology (Shakarpur).
- Education:
- Tech.in Computer Engineering from Jamia Hamdard.
- Tech.in Computer Engineering from Career Institute of Management & Technology, Faridabad (affiliated with MDU).
BOOKS BY RITESH JAIN
The authors’ work extends beyond Python programming. Ritesh Jain has contributed to books covering emerging technologies, software engineering, Internet of Things, and personal development.
1. DBMS Made Easy: A Practical Guide to Learning Database Management Systems
Authors: Ritesh Jain, Anjali Arora
Overview: Designed to make DBMS simple, practical, and engaging for polytechnic and engineering students and educators. Features short chapters, visual diagrams, and hands-on practical exercises covering SQL, Oracle Database, Data Warehousing, and Data Mining.
2. INTERNET OF THINGS WITH IPv6 Architectures, Standards, and Integration for IoT6
Authors: Ritesh Jain, Swati Rehal
Overview: A structured and visual introduction to IoT6 and IPv6 integration, designed to help beginners and diploma and engineering students understand the architecture and technologies behind the next generation of connected devices.
The book explores IoT-A architecture, cloud computing, standards, integration, and real-world implementation challenges.
3. Modern Approaches to Software Analysis and Design - Concepts, Principles, and Frameworks for the Future of Software
Authors: Swati Rehal, Mr. Ritesh Jain, Dr. Lalan Kumar
Overview: A comprehensive guide that connects theoretical software concepts with practical system modelling and development.
The book covers software analysis and design, UI design, data modelling, software testing, and agile methodologies.
4. A BETTER ME: Reflections of the Inner Journey
Author: Ritesh Jain
Overview: A Better Me is an inspirational collection of reflections, life lessons, and quiet observations focused on personal growth, self-reliance, and inner clarity.
Through relatable reflections and thoughtful observations, the book encourages readers to pause, look inward, learn from their experiences, and develop a deeper understanding of themselves.
5. Fundamentals of Python Programming for Engineering and Data Science
Authors: Dr. Preeti Saini , Mr. Ritesh Jain
Overview: This book covers essential topics such as variables, data types, loops, functions, and data structures, along with error handling, modular programming, and iterative techniques. It also introduces key libraries like NumPy, Pandas, and Matplotlib for practical data analysis and visualization. Designed for beginners and professionals alike, it offers clear explanations, practical examples, chapter summaries, and practice questions. Whether you’re a student, educator, or industry professional, this book serves as a comprehensive resource to build programming skills, experiment confidently, and innovate effectively with Python.
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THE AUTHORS' VISION
Making Knowledge Practical & Accessible
Books can do more than explain concepts.
They can make difficult subjects approachable, encourage curiosity, and give learners the confidence to explore further.
Through their academic and professional work, Dr. Preeti Saini and Ritesh Jain aim to create resources that bridge the gap between theory and application.
From Python and data science to IoT, software engineering, and personal development, their books reflect a commitment to continuous learning and accessible knowledge.
Learn Today. Apply Tomorrow. Keep Exploring.
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