1. Beginning Programming with Python For Dummies
For those embarking on their coding journey, John Paul Mueller’s Beginning Programming with Python For Dummies is an indispensable guide. With a clear and approachable style, this book demystifies programming concepts, making them accessible even to complete novices. It covers fundamental Python concepts while providing practical examples and interactive exercises to enhance learning retention.
This book also equips readers with essential problem-solving skills and an understanding of programming logic, laying a solid foundation for further exploration in tech.
2. \\u0b8e\u0bb3\u0bbf\u0baf \\u0ba4\u0bae\u0bbf\u0bb4\u0bbf\u0bb2\u0bcd Python & Google Colab (Tamil Edition)
FHA Shibly’s எழுத்தின் களம் Python & Google Colab (Tamil Edition) provides Tamil speakers access to essential Python programming skills. The book covers Python fundamentals using Google Colab, combining powerful programming tools with user-friendly instruction. Readers benefit from real-world applications tailored for the Tamil-speaking audience.
At just $2.00, this edition breaks down barriers to learning coding in one’s native language, ensuring a wider range of people can develop valuable tech skills.
3. Modern Natural Language Processing in Python
Alan Schoenberger’s Modern Natural Language Processing in Python is perfect for those looking to venture into the world of NLP. This book delves deep into advanced topics such as Seq2seq models and Transformer networks, complete with TensorFlow 2 integration.
Schoenberger’s approach is hands-on; readers will engage with practical examples directly applicable to current industry trends, making this a must-read for data scientists and machine learning enthusiasts.
4. Python Programming: With Google Colab Development Environment
Kumar AM Govind’s Python Programming: With Google Colab Development Environment uniquely combines the power of Python with the accessibility of Google Colab. It offers clear guidance on utilizing Colab for diverse coding challenges, making it an excellent choice for beginners and experienced coders alike.
This book enhances reader engagement by introducing collaborative features, paving the way for learners to share their Python projects with others seamlessly.
5. Evolutionary Deep Learning
Delve into the fascinating intersection of genetic algorithms and neural networks with Micheal Lanham’s Evolutionary Deep Learning. This book illustrates the synergy between these two powerful techniques, showcasing how they can be combined to enhance machine learning applications.
For anyone looking to innovate in AI, this comprehensive overview serves as both a reference and a jumping-off point for practical applications.
6. Image Analysis, Classification and Change Detection in Remote Sensing
Morten John Canty’s Image Analysis, Classification and Change Detection in Remote Sensing is a comprehensive exploration of remote sensing techniques that includes algorithms implemented in Python. Ideal for researchers and professionals in the field, the text provides extensive practical guidance on image processing.
This book elevates understanding and application of remote sensing technologies, promising to inspire advancements across numerous domains.
7. Python Web Scraping for Google Search
In today’s data-driven world, Alex Hart’s Python Web Scraping for Google Search is an essential tool for developers and data analysts. This book offers insights into the tactical aspects of web scraping, advocating for ethical scraping while extracting valuable data from Google.
The integration of Selenium emphasizes automation, making significant data collection endeavors efficient and straightforward. It’s an absolute necessity for any aspiring data professional.
8. Photo Forensics and Digital Forensics
Prof. (Dr.) Bishwajeet Pandey’s Photo Forensics and Digital Forensics tackles a critical realm of digital literacy, teaching readers to analyze and authenticate images effectively. With practical applications in tools like Steghide and Quickstego, this guide is pivotal for professionals in cybersecurity and media.
At only $3.00, it is a budget-friendly introduction to a crucial skill set that could safeguard careers in various fields.
9. AI FOR ENGINEERS: Practical Applications with Python and Google Colab
As AI technologies become increasingly integrated into engineering, AI FOR ENGINEERS: Practical Applications with Python and Google Colab by Shashikant Bakre and Ashpana Shiralkar sets an essential foundation for engineers. This book provides practical insights tailored for engineers seeking to apply AI methodologies through Python, making it accessible and pragmatic.
Readers will find valuable use cases highlighting real-world scenarios to implement AI, maximizing the effectiveness of their engineering projects.
10. TPOT + COLAB: An Early Foray into the Genetic Space of Auto-ML with Cloud Compute
Dr. Jason TW Teo’s TPOT + COLAB embarks on the enthralling world of Genetic Programming and Auto-ML, leveraging the ease of cloud computing through Google Colab. This book paves the way for future innovators and practitioners aiming to harness the full potential of automated machine learning techniques.
Featuring step-wise guidance and extensive training, it amplifies the toolkit of budding data scientists and encourages experimentation and exploration in Auto-ML.
