Search results for "beginning chatgpt for python"
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ChatGPT for Conversational AI and Chatbots
Explore ChatGPT technologies to create state-of-the-art chatbots and voice assistants, and prepare to lead the AI revolution Key FeaturesLearn how to leverage ChatGPT to create innovative conversational AI solutions for your organizationHarness LangChain and delve into step-by-step LLM application development for conversational AIGain insights into security, privacy, and the future landscape of large language models and conversational AIPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionChatGPT for Conversational AI and Chatbots is a definitive resource for exploring conversational AI, ChatGPT, and large language models.This book introduces the fundamentals of ChatGPT and conversational AI automation. You’ll explore the application of ChatGPT in conversation design, the use of ChatGPT as a tool to create conversational experiences, and a range of other practical applications. As you progress, you’ll delve into LangChain, a dynamic framework for LLMs, covering topics such as prompt engineering, chatbot memory, using vector stores, and validating responses. Additionally, you’ll learn about creating and using LLM-enabling tools, monitoring and fine tuning, LangChain UI tools such as LangFlow, and the LangChain ecosystem. You’ll also cover popular use cases, such as using ChatGPT in conjunction with your own data. Later, the book focuses on creating a ChatGPT-powered chatbot that can comprehend and respond to queries directly from your unique data sources. The book then guides you through building chatbot UIs with ChatGPT API and some of the tools and best practices available.By the end of this book, you’ll be able to confidently leverage ChatGPT technologies to build conversational AI solutions.What you will learnGain a solid understanding of ChatGPT and its capabilities and limitationsUnderstand how to use ChatGPT for conversation designDiscover how to use advanced LangChain techniques, such as prompting, memory, agents, chains, vector stores, and toolsCreate a ChatGPT chatbot that can answer questions about your own dataDevelop a chatbot powered by ChatGPT APIExplore the future of conversational AI, LLMs, and ChatGPT alternativesWho this book is forThis book is for tech-savvy readers, conversational AI practitioners, engineers, product owners, business analysts, and entrepreneurs wanting to integrate ChatGPT into conversational experiences and explore the possibilities of this game-changing technology. Anyone curious about using internal data with ChatGPT and looking to stay up to date with the developments in large language models will also find this book helpful. Some expertise in coding and standard web design concepts would be useful, along with familiarity with conversational AI terminology, though not essential.
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Fun Python GUI Projects in easy steps
Fun Python GUI Projects in easy steps contains mostly outrageous projects and a few sensible ones. Get ready to embark on a thrilling adventure into the world of graphical user interfaces (GUIs) with guizero – an easy way to build GUIs with Python code. If you've ever wanted to add a splash of interactivity and charm to your Python projects, this is the book for you! Learn how to code fun apps and programs – in easy steps!The first chapter of Fun Python GUI Projects in easy steps gently introduces you to the world of GUI programming, explaining concepts in simple terms so that you'll never feel lost or overwhelmed. Once you've got the hang of the basics, it's time to start building and combining features. The book shows you how to code and use all sorts of fun GUI elements – buttons that trigger actions, text boxes for inputting data, labels to display information, and more. With guizero's intuitive syntax and easy-to-use functions, you'll be amazed at how quickly you can bring the projects and your ideas to life.Ever wanted to prank your friends with a virtual whoopee cushion? This book shows you how to create a hilarious application that emits fart sounds at the click of a button. If you’re curious about your compatibility with your crush, you'll learn how to create a fun calculator that predicts your compatibility with another person based on a set of quirky questions. Who knows, you might just uncover a surprising match! Have you ever wondered if you could outrun your favorite superhero? In this book you'll learn how to build a game that challenges players to react faster than iconic superheroes. It's a thrilling test of speed and reflexes! As you progress through Fun Python GUI Projects in easy steps, we'll delve deeper into the world of GUI design, exploring topics like mouse interaction, drawing, layout, and styling. You'll learn how to arrange your GUI elements in visually pleasing ways so that your applications not only work great but look awesome too. Most of this book’s projects use the Microsoft Windows platform. However, Python and guizero are both compatible with Linux and Apple computers. Before you begin, you will need install the compatible versions of Python and guizero. Comprehensive guides on installation and setup are included in the book. Let’s code and have fun! For kids and young adults aged 11+
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Python for Teenagers
This book, which is designed for middle-school through college-aged students, will arm beginners with solid programming foundations they can carry throughout life. It uses fun and simple language (and programming examples) to teach the fundamentals needed to start the down path of becoming a programmer. Python is a highly flexible language, allowing developers to enter any number of technical fields and is a welcome addition to any resume. With its low learning curve, it makes a great introductory language, as new developers can take the coding fundamentals they learn in Python and apply them to any other language. The second edition builds upon the foundation of the first book, revising all the chapters where the language has changed, updating the commands, code, and examples to bring it up to date with the current version of Python. Since Python is the most popular programming language in the world and can be used in conjunction with other languages - across multiple platforms - it can increase the reader's ability to qualify for a wider range of jobs than other languages. Finally, Python is fun - something not every programming language can boast! What You Will LearnInstall and configure PythonGrasp basic software development principles and syntaxUnderstand the best practices for coding in PythonCreate applications and debug code Who This Book Is ForThe book’s target audience is primarily middle school to college aged students looking to learn how to program computers and develop software. Older individuals and computer programmers who know other languages and want to add Python to their repertoire can also benefit from the book.
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Non-Programmers Tutorial For Python 2 and 3
This book is a tutorial for the Python 2 and 3 programming language designed for someone with no programming experience. All the examples work in Python 2.6 and Python 3.
R 414.02
Python Using GPT-5 and Gemini
Python Using GPT-5 and Gemini provides a practical, up-to-date guide that combines solid Python programming skills with real-world integration of today’s leading large language models. The book teaches essential Python techniques while showing readers exactly how to connect and use GPT-5, Google Gemini, Claude, Grok, Perplexity, and other major models in their daily work.Readers will gain a strong foundation in Python data structures, comprehensions, generators, regular expressions, and object-oriented programming. The book then moves into detailed coverage of GPT-5 (including GPT-5.4 and GPT-5.3 Instant), Gemini 3.1, Claude Mythos and Opus 4.6, along with practical Python code samples for chatbots, tool calling, data analysis, graphics generation, and integration with PowerPoint and Excel. Additional chapters explore LLM benchmarks, deceptive behaviors such as alignment faking and scheming, military AI applications, and comparisons between the major models, giving readers clear insight into their relative strengths and limitations.This book is written for intermediate Python developers, data scientists, technical professionals, and anyone who wants to move beyond basic prompting and build production-ready applications that effectively combine Python with the latest generation of large language models.
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Python for Experimental Psychologists
Python for Experimental Psychologists equips researchers who have no prior programming experience with the essential knowledge to independently script experiments and analyses in the programming language Python. The book offers an excellent introduction, whether you are an undergraduate, a PhD candidate, or an established researcher.This updated edition is on Python 3 (the most current version). It starts by teaching the fundamentals of programming in Python, and then offers several chapters on scripting experiments (displaying stimuli, obtaining and logging user input, precision timing, etc.) using the popular PsychoPy package. The remainder of the book is dedicated to data analysis, and includes chapters on reading/writing to text files, time series, eye tracking, data visualisation, and statistics.Access to a companion website enriches the learning experience with colour figures, example stimuli, datasets, scripts, and a portable Windows installation of Python. The book assumes no prior knowledge, and its informal and accessible tone helps readers with backgrounds in experimental psychology and cognitive neuroscience to quickly understand Python. It serves as a useful resource not only for researchers in these fields, but also for lecturers instructing on methodology and data analysis.Python for Experimental Psychologists demystifies programming complexities, and empowers researchers to proficiently conduct experiments and to analyse their results.
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Beginning Python Visualization
We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of data sources, big and small, into useful visual data. And, you will learn Python as part of the bargain.In this second edition you’ll learn about Spyder, which is a Python IDE with MATLAB® -like features. Here and throughout the book, you’ll get detailed exposure to the growing IPython project for interactive visualization. In addition, you'll learn about the changes in NumPy and Scipy that have occurred since the first edition. Along the way, you'll get many pointers and a few visual examples. As part of this update, you’ll learn about matplotlib in detail; this includes creating 3D graphs and using the basemap package that allows you to render geographical maps. Finally, you'll learn about image processing, annotating, and filtering, as well as how to make movies using Python. This includes learning how to edit/open video files and how to create your own movie, all with Python scripts. Today's big data and computational scientists, financial analysts/engineers and web developers – like you - will find this updated book very relevant.
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Learning Python: A Course in 16 Lessons for GCSE
This is an introductory text book that teaches Python programming. It is intended mainly for GCSE and IGCSE Computer Science students. It is a very practical book and assumes that the student knows little. The book starts by looking at the Python programming environment, then entering commands at the command prompt. Later on short programs,followed by longer programs. By the time the last chapter has been reached longer programs suitable for coursework are discussed. If used as a text book to learn programming, it is suggested that one lesson (chapter) from the book is studied each week. That way a student can learn Python in 4 months.
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Beginning Programming in 24 Hours, Sams Teach Yourself
Sams Teach Yourself Beginning Programming in 24 Hours explains the basics of programming in the successful 24 Hours format. The book's examples are easily readable and understandable by even those with no previous exposure to programming. This book covers the absolute basics of programming: Why program? What tools to use? How does a program tell the computer what to do? Readers will learn how to program the computer and will explore some of the most popular programming languages in use. This book will introduce the reader to common programming fundamentals using Python and will provide an overview of other common programming languages and their uses.
R 684.00
Python for non-Pythonians
The book uses a very simple and accessible language. All the descriptions of Python functionalities come with intuitive examples to make you learn by doing. This is not a theoretical book and does not cover some of the most internal features of Python. The intention of the authors is to allow business oriented people to start using Python. The main reason for such a choice of style is due to the increasing number of requests by non-technical professionals to solve daily problems and tasks. Whether we want to append multiple spreadsheets or profile the customer base, being able to use a solid infrastructure which enables to collect, check, process, analyze data, and report results has become a basic requirement in most industries. The structure of this book replicates the structure of a grammar book. It first introduces the building blocks of Python - i.e., objects - which can be compared to the different types of words (e.g., verbs, nouns) of a language. It introduces readers to the syntax rules of Python - i.e., statements, functions, and classes. It then provides introduces how to use this new language for managing data. One thing that we found particularly helpful for our students is to provide wrong Python codes with the error message that Python provides, and ask them to fix the code in order to make it work. As making mistakes is very common, we would say normal, in programming, learning how to interpret the error messages and fix codes is extremely important from a pedagogical perspective. The book always challenges students with a series of "fix the code" questions at the end of each a topic. We adopt this structure because we found that students learn how to successfully write algorithms in Python when they understand its logic and the meaning of every single element of the algorithm. We have experimented that this natural progression, from the most basic elements to very complex scripts, raises students' self-confidence and proficiency in writing their own algorithms. Hence, the structure of the textbook greatly helps students and instructors to gradually acquire the "programming" mindset. Also, our teaching experience indicates that, as with any other language, students learn by practicing. For this reason our textbook, is rich in exercises of increasing complexity.
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Python for Secret Agents
If you are a Python beginner who is looking to learn the language through interesting projects, this book is for you. A basic knowledge of programming and statistics is beneficial to get the most out of the book.
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Python for MBAs
From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech. For them and other professionals, having some basic coding knowledge is a must.This book is an introduction to programming with Python for MBA students and others in business positions who need a crash course. One of the most popular programming languages, Python is used for tasks such as building and running websites, data analysis, machine learning, and natural-language processing. Drawing on years of experience providing instruction in this material at Columbia Business School as well as extensive backgrounds in technology, entrepreneurship, and consulting, Mattan Griffel and Daniel Guetta teach the basics of programming from scratch. Beginning with fundamentals such as variables, strings, lists, and functions, they build up to data analytics and practical ways to derive value from large and complex datasets. They focus on business use cases throughout, using the real-world example of a major restaurant chain to offer a concrete look at what Python can do. Written for business students with no previous coding experience and those in business roles that include coding or working with coding teams, Python for MBAs is an indispensable introduction to a versatile and powerful programming language.
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Python Programming for Biology
Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.
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R 611.00
R 611.00
Python for Experimental Psychologists
Python for Experimental Psychologists equips researchers who have no prior programming experience with the essential knowledge to independently script experiments and analyses in the programming language Python. The book offers an excellent introduction, whether you are an undergraduate, a PhD candidate, or an established researcher.This updated edition is on Python 3 (the most current version). It starts by teaching the fundamentals of programming in Python, and then offers several chapters on scripting experiments (displaying stimuli, obtaining and logging user input, precision timing, etc.) using the popular PsychoPy package. The remainder of the book is dedicated to data analysis, and includes chapters on reading/writing to text files, time series, eye tracking, data visualisation, and statistics.Access to a companion website enriches the learning experience with colour figures, example stimuli, datasets, scripts, and a portable Windows installation of Python. The book assumes no prior knowledge, and its informal and accessible tone helps readers with backgrounds in experimental psychology and cognitive neuroscience to quickly understand Python. It serves as a useful resource not only for researchers in these fields, but also for lecturers instructing on methodology and data analysis.Python for Experimental Psychologists demystifies programming complexities, and empowers researchers to proficiently conduct experiments and to analyse their results.
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R 1,139.00
