Python programming Опции

[Williams]

Burkhard A. Meier- Python GUI Programming Cookbook, 2nd Edition

Packt Publishing, 2017
PDF, EPUB, AZW3 - 422 pages, english
ISBN 139781787129450



Master over 80 object-oriented recipes to create amazing GUIs in Python and revolutionize your applications today

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary.

This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common theme running through all of them. As our GUIs keep expanding, using more and more widgets, we start to talk to networks, databases, and graphical libraries that greatly enhance our GUI’s functionality. This book is what you need to expand your knowledge on the subject of GUIs, and make sure you’re not missing out in the long run.

http://m.turbobit.net/c38qyc46plic.html
27 Mb

[Williams]

Aymen El Amri - OpenAI GPT For Python Developers: The art and science of developing intelligent apps with OpenAI GPT-3, DALL·E 2, CLIP, and Whisper

Leanpub , 2023
pdf, 235 pages, english
ISBN: 978-5-4461-1908-0



Explore the fascinating world of Artificial Intelligence and solve real-world problems!
In this practical guide, you will build intelligent real-world applications using GPT-3, DALL-E, Whisper, CLIP, and more tools from the OpenAI and AI/ML ecosystem.

Rest assured, you don't need to be a data scientist or machine learning engineer to follow this guide. It was designed in a way that suits a programmer with a basic/intermediate level.
The knowledge you gain from this guide will be applicable to GPT-3 and will likely also be relevant to GPT-4, should it ever be released.

OpenAI provides APIs (Application Programming Interfaces) to access their AI. The goal of an API is to abstract the underlying models by creating a universal interface for all versions, allowing users to use GPT regardless of its version.

The goal is to provide a step-by-step guide to using GPT-3 in your projects through this API but not only - many other tools and models built by OpenAI such as Whisper (an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data), CLIP (Contrastive Language-Image Pre-Training), a neural network trained on a variety of (image, text) pairs and DALL·E 2, a new AI system that can create realistic images and art from a description in natural language.

Whether you’re building a chatbot, an AI (voice) assistant, a semantic search engine, a classification system, a recommendation engine a web app providing AI-generated data, or any other sort of natural language/image/voice processing and generation platform, this guide will help you reach your goals.

The explanations in this book are crystal clear and easy to understand, employing simple Python code, examples, and hands-on exercises.

This guide is focused on practical, hands-on learning and is designed to help the reader build real-world applications. The guide is example-driven and provides a lot of practical examples to help the reader understand the concepts and apply them to real-life scenarios to solve real-world problems.

By the end of your learning journey, you will have built applications such as:
A fine-tuned medical chatbot assistant
An intelligent coffee recommendation system
An intelligent conversational system with memory and context
An AI voice assistant like Alexa but smarter
A Chatbot assistant to help with Linux commands
A semantic search engine
A news category prediction system
An image recognition intelligent system
An image generator
This guide helps you:

Understand different models and when to use them
Generate human-like text for various purposes
Control creativity and generate high-quality text
Transform and edit text for useful tasks
Optimize GPT models' performance
Stem, lemmatize, and reduce bills when using the API
Practice advanced techniques like Context Stuffing and chaining
Learn how Tesla and Notion use text embedding
Implement semantic search and other advanced tools
Create prediction algorithms and zero-shot techniques and evaluate accuracy
Practice and improve few-shot learning
Leverage fine-tuning to create your own models
Use best practices to create models
Train and classify using GPT
Create advanced fine-tuned models
Use OpenAI Whisper and other tools for voice assistants
Implement image classification with OpenAI CLIP
Generate and edit images with OpenAI DALL-E 2

https://www.upload.ee/files/15251988/it9819.7z.html

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