Python for Programmers: with Big Data and Artificial Intelligence Case Studies – eBook

Description

### Discover the Power of Python with Python for Programmers: with Big Data and Artificial Intelligence Case Studies (PDF)

Dive into the fascinating world of programming with Python for Programmers: with Big Data and Artificial Intelligence Case Studies, your essential guide crafted for skilled programmers seeking to enhance their knowledge of Python while exploring the captivating realms of artificial intelligence. This comprehensive ebook, ideal for those already familiar with another high-level programming language.

The world of computing is rapidly evolving, and Python stands at the forefront of this revolution as one of the most sought-after and rapidly growing programming languages. Within these pages, you will find hands-on instruction and well-structured examples that systematically guide you through the core concepts and advanced features of Python, all while encouraging practical engagement with today’s most relevant computing technologies. For a preview of what’s inside, be sure to check out the Table of Contents and the Preface located at the beginning of the book.

This resource boasts an impressive collection of over 500 real-world examples, ranging from concise code snippets to intricate scripts and comprehensive case studies. You will harness the power of the interactive IPython interpreter with code arranged in Jupyter Notebooks, facilitating an efficient learning experience as you practice and master modern Python coding techniques. After thoroughly exploring Chapters 1—5 and significant elements from Chapters 6—7, you will confidently tackle exciting AI projects detailed in Chapters 11—16, packed with contemporary and dynamic examples. Featured topics include natural language processing, sentiment analysis from Twitter data, cognitive computing using IBM Watson™, supervised and unsupervised machine learning techniques, computer vision via deep learning and convolutional neural networks, and explorations into big data with Hadoop, Spark™, and NoSQL databases. You will also engage with cloud-based services such as IBM Watson, Google Translate™, Microsoft Azure, and more, directly and indirectly enhancing your coding skills.

#### Key Features
– Experience the synergy of IPython combined with Jupyter Notebooks for interactive coding.
– Engage with static, interactive, and dynamic visualizations that bring data to life.
– Work hands-on with real-world datasets, providing invaluable practical experience.
– Comprehensive coverage of key programming paradigms: procedural, functional-style, and object-oriented programming.
– Explore over 500 actionable real-world examples, encompassing snippets and larger case studies.
– In-depth treatment of collections including lists, tuples, dictionaries, sets, NumPy arrays, pandas Series, and DataFrames.
– Extensive coverage of Python fundamentals: control structures, functions, strings, file operations, JSON serialization, CSV management, and exception handling.
– Dedicated chapters focusing on Data Science introductions, covering essential AI concepts, statistics, simulations, animations, and more.
– Leverage a library-centric approach with the Python Standard Library and vital data science libraries to achieve significant outcomes with minimal code.
– Utilize open-source libraries such as NumPy, pandas, Seaborn, Matplotlib, scikit-learn, SciPy, NLTK, and Keras among others.
– Engage with case studies on AI, big data, and cloud data science covering a range of modern techniques: machine learning, NLP, computer vision, and IoT applications.

P.S. Don’t miss out on our comprehensive test bank and additional instructor resources for Python for Programmers. Reach out for more information!

### Hear What Readers Are Saying
“This ebook is a treasure for anyone venturing into Data Science with Python. It covers essential technologies and the machine learning chapter is a highlight! The dynamic visualizations enrich the learning experience.” — Ramon Mata-Toledo, Professor, James Madison University

“I appreciate the integration of computer science, data science, and statistics in the curriculum. This resource seamlessly teaches critical data science concepts while using Python as a foundational language.” — Lance Bryant, Shippensburg University

“The book provides an excellent introduction to modern Python syntax and community best practices. The engaging case studies encourage deeper understanding, making it a valuable addition to any coder’s library!” — Elizabeth Wickes, Lecturer, School of Information Sciences, University of Illinois at Urbana-Champaign

“A fantastic introduction to Big Data and its concepts. The practical examples help bridge programming and data science effectively. The engaging hands-on material makes complex topics accessible.” — Garrett Dancik, Eastern Connecticut State University

“This engaging ebook is crucial for aspiring data scientists. It covers a broad spectrum of topics, from statistics to machine learning, making difficult concepts approachable and enjoyable to learn.” — Jamie Whitacre, Data Science Consultant

“Well-organized and meticulously written, the book spans a wide array of modern data science topics. The visual examples captivate the reader and make for rewarding learning experiences.” — Alison Sanchez, Assistant Professor in Economics, University of San Diego

**NOTE: Only the PDF ebook Python for Programmers is included in this purchase. Additional resources are not part of this offer.**