Python 3 The Essential Guide
Download Python 3 The Essential Guide PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Python 3 The Essential Guide book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Python 3 : The Essential Guide
Python 3 : The Essential Guide is an immersive journey into the world of Python programming, meticulously crafted to empower beginners and seasoned developers alike. From laying the foundational concepts to mastering advanced techniques, this book offers a comprehensive roadmap for anyone eager to harness the power of Python. Embark on a seamless learning experience as you delve into the essential principles of programming with Python. With clear explanations, practical examples, and hands-on exercises, each chapter is designed to foster a deep understanding of Python's syntax, data structures, and core functionalities. Discover the art of crafting elegant and efficient code through detailed discussions on topics such as string manipulation, data types, control flow, and object-oriented programming. Whether you're a novice coder or an experienced developer, the book's structured approach ensures a gradual progression from fundamental concepts to sophisticated problem-solving strategies. Explore the versatility of Python as you learn how to install and set up Python 3 on various operating systems, write your first Python program, and leverage built-in functions for common tasks. Dive deeper into Python's rich ecosystem by mastering essential libraries, handling exceptions, and exploring advanced topics like list comprehensions, decorators, and context managers. With its user-friendly format and comprehensive coverage, Python 3 : The Essential Guide serves as both a tutorial for newcomers and a reference manual for experienced programmers. Whether you aspire to build web applications, automate mundane tasks, or dive into data science and machine learning, this book equips you with the skills and confidence to unlock Python's full potential. Written by seasoned professionals with a passion for teaching and a deep understanding of Python's intricacies, this book is more than just a guide—it's your companion on the journey to becoming a proficient Python programmer. Let Python 3 : The Essential Guide be your gateway to the exciting world of Python development, where creativity knows no bounds and innovation thrives.
Python Data Visualization Essentials Guide
Build your data science skills. Start data visualization Using Python. Right away. Become a good data analyst by creating quality data visualizations using Python. KEY FEATURES ● Exciting coverage on loads of Python libraries, including Matplotlib, Seaborn, Pandas, and Plotly. ● Tons of examples, illustrations, and use-cases to demonstrate visual storytelling of varied datasets. ● Covers a strong fundamental understanding of exploratory data analysis (EDA), statistical modeling, and data mining. DESCRIPTION Data visualization plays a major role in solving data science challenges with various capabilities it offers. This book aims to equip you with a sound knowledge of Python in conjunction with the concepts you need to master to succeed as a data visualization expert. The book starts with a brief introduction to the world of data visualization and talks about why it is important, the history of visualization, and the capabilities it offers. You will learn how to do simple Python-based visualization with examples with progressive complexity of key features. The book starts with Matplotlib and explores the power of data visualization with over 50 examples. It then explores the power of data visualization using one of the popular exploratory data analysis-oriented libraries, Pandas. The book talks about statistically inclined data visualization libraries such as Seaborn. The book also teaches how we can leverage bokeh and Plotly for interactive data visualization. Each chapter is enriched and loaded with 30+ examples that will guide you in learning everything about data visualization and storytelling of mixed datasets. WHAT YOU WILL LEARN ● Learn to work with popular Python libraries and frameworks, including Seaborn, Bokeh, and Plotly. ● Practice your data visualization understanding across numerous datasets and real examples. ● Learn to visualize geospatial and time-series datasets. ● Perform correlation and EDA analysis using Pandas and Matplotlib. ● Get to know storytelling of complex and unstructured data using Bokeh and Pandas. ● Learn best practices in writing clean and short python scripts for a quicker visual summary of datasets. WHO THIS BOOK IS FOR This book is for all data analytics professionals, data scientists, and data mining hobbyists who want to be strong data visualizers by learning all the popular Python data visualization libraries. Prior working knowledge of Python is assumed. TABLE OF CONTENTS 1. Introduction to Data Visualization 2. Why Data Visualization 3. Various Data Visualization Elements and Tools 4. Using Matplotlib with Python 5. Using NumPy and Pandas for Plotting 6. Using Seaborn for Visualization 7. Using Bokeh with Python 8. Using Plotly, Folium, and Other Tools for Data Visualization 9. Hands-on Examples and Exercises, Case Studies, and Further Resources
The Essential Guide to Prompt Engineering
Author: Vladimir Geroimenko
language: en
Publisher: Springer Nature
Release Date: 2025-03-17
This book provides a concise yet comprehensive guide to mastering the entire spectrum of prompt engineering, from fundamental concepts to pro-level techniques and essential security considerations. Filled with practical examples and detailed explanations, it delivers actionable knowledge that can be directly applied to AI projects. The guide includes dedicated chapters on key challenges and security issues, equipping readers to overcome significant obstacles they may encounter. It outlines a clear pathway to the art and science of prompt engineering, offering the tools and insights for a successful journey into the rapidly evolving world of generative AI. With its holistic approach and coherent structure, this book is an indispensable resource for AI developers, professionals in related fields, enthusiasts, graduate and undergraduate students, and anyone keen to enhance the efficiency of their interactions with AI models.