Python.
Overview
| Works: | 296 works in 108 publications in 108 languages | |
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Titles
AI for robotics = toward embodied and general intelligence in the physical world /
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Multivariate analysis and machine learning techniques = feature analysis in data science using Python /
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Guide to distributed algorithms = design, analysis and implementation using Python /
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Time series forecasting using generative AI = leveraging AI for precision forecasting /
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Python adventures for young coders = explore the world of programming /
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Blender scripting with Python = automate tasks, write helper tools, and procedurally generate models in Blender 4 /
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Silicon valley Python engineer interview guide = data structure, algorithm, and system design /
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Practical Python design patterns = Pythonic solutions to common problems /
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Beginning Django = web application development and deployment with Python /
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Python machine learning case studies = five case studies for the data scientist /
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The Blender Python API = precision 3D modeling and add-on development /
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Building serverless applications with Python : = develop fast, scalable, and cost-effective web applications that are always available /
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MicroPython for the internet of things = a beginner's guide to programming with Python on microcontrollers /
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Python for the busy Java developer = the language, syntax, and ecosystem /
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Python 2 and 3 compatibility = with Six and Python-future libraries /
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Pro deep learning with TensorFlow = a mathematical approach to advanced artificial intelligence in Python /
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Deep learning with applications using Python = chatbots and face, object, and speech recognition with TensorFlow and Keras /
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Advanced data analytics using Python = with machine learning, deep learning and NLP examples /
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Good habits for great coding = improving programming skills with examples in Python /
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Practical web scraping for data science = best practices and examples with Python /
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Introduction to deep learning business applications for developers = from conversational bots in customer service to medical image processing /
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Deep learning for natural language processing = creating neural networks with Python /
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Pro machine learning algorithms = a hands-on approach to implementing algorithms in Python and R /
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Practical Docker with Python = build, release and distribute your Python App with Docker /
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Defending IoT infrastructures with the Raspberry Pi = monitoring and detecting nefarious behavior in real time /
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MySQL Connector/Python revealed = SQL and NoSQL data storage using MySQL for Python programmers /
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Learn Raspberry Pi programming with Python = learn to program on the world's most popular tiny computer /
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Personal finance with Python = using pandas, requests, and recurrent /
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Guide to programming for the digital humanities = lessons for introductory Python /
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Practical video game bots = automating game processes using C++, Python, and AutoIt /
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Learn to program with Python 3 = a step-by-step guide to programming /
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Applied deep learning = a case-based approach to understanding deep neural networks /
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Applied natural language processing with Python = implementing machine learning and deep learning algorithms for natural language processing /
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Python descriptors = understanding and using the descriptor protocol /
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Data analysis and visualization using Python = analyze data to create visualizations for BI systems /
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Practical computer vision applications using deep learning with CNNs = with detailed examples in Python using TensorFlow and Kivy /
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Practical quantum computing for developers = programming quantum rigs in the cloud using Python, Quantum Assembly Language and IBM QExperience /
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Learn computer vision using OpenCV = with deep learning CNNs and RNNs /
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Text analytics with Python = a practitioner's guide to natural language processing /
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Machine Learning with Microsoft technologies = selecting the right architecture and tools for your project /
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Foundations of Libvirt development = how to set up and maintain a virtual machine environment with Python /
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Game Development with Ren'Py = introduction to visual novel games using ren'py, tyranobuilder, and twine /
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The Python workbook = a brief introduction with exercises and solutions /
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以色彩辨識技術監測蔬果農藥殘留檢測之化學反應 = = Monitoring the Chemical Reaction of Vegetable Pesticide Residual Detection by Color Identification Technology /
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Python unit test automation = practical techniques for Python developers and testers /
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設計一自動治具系統建立超薄膜厚度與色度關係曲線 = = Design an Automatic Fixture System for Establishing the Relationship between the Thickness and Chromaticity of Ultra-thin Film /
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多孔性晶格結構在鞋中底緩衝G值的最佳化設計與測試 = = Optimized Design and Evaluation of Porous Lattice Structure for Shoe Midsoles Based on Cushion G Value /
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Python Data Analytics = Data Analysis and Science using pandas, matplotlib and the Python Programming Language /
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Python Descriptors = Understanding and Using the Descriptor Protocol /
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Practical Video Game Bots = Automating Game Processes using C++, Python, and AutoIt /
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Personal Finance with Python = Using pandas, Requests, and Recurrent /
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Practical Docker with Python = Build, Release and Distribute your Python App with Docker /
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Good Habits for Great Coding = Improving Programming Skills with Examples in Python /
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MySQL Connector/Python Revealed = SQL and NoSQL Data Storage Using MySQL for Python Programmers /
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Data Analysis and Visualization Using Python = Analyze Data to Create Visualizations for BI Systems /
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Learn to Program with Python 3 = A Step-by-Step Guide to Programming /
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Applied Deep Learning = A Case-Based Approach to Understanding Deep Neural Networks /
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Practical Machine Learning with Python = A Problem-Solver's Guide to Building Real-World Intelligent Systems /
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Applied Natural Language Processing with Python = Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /
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Practical Quantum Computing for Developers = Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience /
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Guide to Programming for the Digital Humanities = Lessons for Introductory Python /
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Pro Machine Learning Algorithms = A Hands-On Approach to Implementing Algorithms in Python and R /
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Learn Raspberry Pi Programming with Python = Learn to Program on the World's Most Popular Tiny Computer /
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Practical Computer Vision Applications Using Deep Learning with CNNs = With Detailed Examples in Python Using TensorFlow and Kivy /
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Practical Web Scraping for Data Science = Best Practices and Examples with Python /
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Make Your Own Python Text Adventure = A Guide to Learning Programming /
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Advanced Data Analytics Using Python = With Machine Learning, Deep Learning and NLP Examples /
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Introduction to Deep Learning Business Applications for Developers = From Conversational Bots in Customer Service to Medical Image Processing /
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Deep Learning for Natural Language Processing = Creating Neural Networks with Python /
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Introduction to Python for Engineers and Scientists = Open Source Solutions for Numerical Computation /
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Reinforcement Learning = With Open AI, TensorFlow and Keras Using Python /
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Defending IoT Infrastructures with the Raspberry Pi = Monitoring and Detecting Nefarious Behavior in Real Time /
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Statistical Physics and Computational Methods for Evolutionary Game Theory
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Deep Learning with Applications Using Python = Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras /
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Practical Python AI Projects = Mathematical Models of Optimization Problems with Google OR-Tools /
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Practical Cryptography in Python = Learning Correct Cryptography by Example /
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Python for the Life Sciences = A Gentle Introduction to Python for Life Scientists /
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Text Analytics with Python = A Practitioner's Guide to Natural Language Processing /
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Applied Reinforcement Learning with Python = With OpenAI Gym, Tensorflow, and Keras /
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Beginning Ethereum Smart Contracts Programming = With Examples in Python, Solidity, and JavaScript /
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Natural Language Processing Recipes = Unlocking Text Data with Machine Learning and Deep Learning using Python /
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Building Telegram Bots = Develop Bots in 12 Programming Languages using the Telegram Bot API /
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Expert Twisted = Event-Driven and Asynchronous Programming with Python /
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Learn Keras for Deep Neural Networks = A Fast-Track Approach to Modern Deep Learning with Python /
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Practical Machine Learning and Image Processing = For Facial Recognition, Object Detection, and Pattern Recognition Using Python /
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Machine Learning Applications Using Python = Cases Studies from Healthcare, Retail, and Finance /
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The Python Workbook = A Brief Introduction with Exercises and Solutions /
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Practical Django 2 and Channels 2 = Building Projects and Applications with Real-Time Capabilities /
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Numerical Python = Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib /
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Building Chatbots with Python = Using Natural Language Processing and Machine Learning /
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Learn PySpark = Build Python-based Machine Learning and Deep Learning Models /
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Learn Computer Vision Using OpenCV = With Deep Learning CNNs and RNNs /
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Advanced Applied Deep Learning = Convolutional Neural Networks and Object Detection /
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Machine Learning with Microsoft Technologies = Selecting the Right Architecture and Tools for Your Project /
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Game Development with Ren'Py = Introduction to Visual Novel Games Using Ren'Py, TyranoBuilder, and Twine /
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PowerShell and Python Together = Targeting Digital Investigations /
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Foundations of Libvirt Development = How to Set Up and Maintain a Virtual Machine Environment with Python /
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Beginning Anomaly Detection Using Python-Based Deep Learning = With Keras and PyTorch /
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Practical Data Science with Python 3 = Synthesizing Actionable Insights from Data /
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Building Android Apps in Python Using Kivy with Android Studio = With Pyjnius, Plyer, and Buildozer /
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Machine Learning with PySpark = With Natural Language Processing and Recommender Systems /
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Designing Microservices with Django = An Overview of Tools and Practices /
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Building REST APIs with Flask = Create Python Web Services with MySQL /
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Python Continuous Integration and Delivery = A Concise Guide with Examples /
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Python Projects for Beginners = A Ten-Week Bootcamp Approach to Python Programming /
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Learn TensorFlow 2.0 = Implement Machine Learning and Deep Learning Models with Python /
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Hands-on Scikit-Learn for Machine Learning Applications = Data Science Fundamentals with Python /
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Beginning Game Programming with Pygame Zero = Coding Interactive Games on Raspberry Pi Using Python /
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Hands On Google Cloud SQL and Cloud Spanner = Deployment, Administration and Use Cases with Python /
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Machine Learning in the Oil and Gas Industry = Including Geosciences, Reservoir Engineering, and Production Engineering with Python /
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Developing Cognitive Bots Using the IBM Watson Engine = Practical, Hands-on Guide to Developing Complex Cognitive Bots Using the IBM Watson Platform /
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Building Computer Vision Applications Using Artificial Neural Networks = With Step-by-Step Examples in OpenCV and TensorFlow with Python /
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Practical Blockchains and Cryptocurrencies = Speed Up Your Application Development Process and Develop Distributed Applications with Confidence /
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Python lernen in abgeschlossenen Lerneinheiten = Programmieren für Einsteiger mit vielen Beispielen /
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Hands-on Time Series Analysis with Python = From Basics to Bleeding Edge Techniques /
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IoT Machine Learning Applications in Telecom, Energy, and Agriculture = With Raspberry Pi and Arduino Using Python /
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Game Programming with Code Angel = Learn how to code in Python on Raspberry Pi or PC /
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Deep Neuro-Fuzzy Systems with Python = With Case Studies and Applications from the Industry /
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The Definitive Guide to Masonite = Building Web Applications with Python /
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Advanced Python Development = Using Powerful Language Features in Real-World Applications /
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Thinking in Pandas = How to Use the Python Data Analysis Library the Right Way /
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Django Standalone Apps = Learn to Develop Reusable Django Libraries /
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Building Versatile Mobile Apps with Python and REST = RESTful Web Services with Django and React /
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Ensemble Learning for AI Developers = Learn Bagging, Stacking, and Boosting Methods with Use Cases /
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Interaktive Datenvisualisierung in Wissenschaft und Unternehmenspraxis
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Quantum Computing Solutions = Solving Real-World Problems Using Quantum Computing and Algorithms /
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Practical Python Data Visualization = A Fast Track Approach To Learning Data Visualization With Python /
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Numerical Python in Astronomy and Astrophysics = A Practical Guide to Astrophysical Problem Solving /
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Generating a New Reality = From Autoencoders and Adversarial Networks to Deepfakes /
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Advanced Forecasting with Python = With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR /
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Decoupled Django = Understand and Build Decoupled Django Architectures for JavaScript Front-ends /
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Data Science Revealed = With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning /
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Introduction to Computational Thinking = Problem Solving, Algorithms, Data Structures, and More /
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Natural Language Processing Recipes = Unlocking Text Data with Machine Learning and Deep Learning Using Python /
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Python Testing with Selenium = Learn to Implement Different Testing Techniques Using the Selenium WebDriver /
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Basic Python for Data Management, Finance, and Marketing = Advance Your Career by Learning the Most Powerful Analytical Tool /
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Optimizing Visual Studio Code for Python Development = Developing More Efficient and Effective Programs in Python /
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Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment = Approaches, Case Studies and Python Applications /
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Practical Natural Language Processing with Python = With Case Studies from Industries Using Text Data at Scale /
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Hyperparameter Optimization in Machine Learning = Make Your Machine Learning and Deep Learning Models More Efficient /
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Deep Reinforcement Learning with Python = With PyTorch, TensorFlow and OpenAI Gym /
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Deep Learning with Python = Learn Best Practices of Deep Learning Models with PyTorch /
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Deploy Machine Learning Models to Production = With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform /
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Ontologies with Python = Programming OWL 2.0 Ontologies with Python and Owlready2 /
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A Python Data Analyst’s Toolkit = Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics /
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Foundation Db2 and Python = Access Db2 with Module-Based API Examples Using Python /
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Programming Microcontrollers with Python = Experience the Power of Embedded Python /
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Transactional Machine Learning with Data Streams and AutoML = Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python /
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Implementing Machine Learning for Finance = A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios /
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Mastering Voice Interfaces = Creating Great Voice Apps for Real Users /
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Visual Studio Code Distilled = Evolved Code Editing for Windows, macOS, and Linux /
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Introduction to Python for Kids = Learn Python the Fun Way by Completing Activities and Solving Puzzles /
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AI for Healthcare with Keras and Tensorflow 2.0 = Design, Develop, and Deploy Machine Learning Models Using Healthcare Data /
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基於語音辨識及語意分析技術開發公開發行公司股價智慧查詢系統 = = Developing an Intelligent Query System for the Stock Price of Public Companies Based on Speech Recognition and Semantic Analysis Technology /
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基於隨機森林之PM2.5預測系統開發 = = Development of PM2.5 Forecasting System based on Random Forest /
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Simulation with Python = Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences /
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Web Application Development with Streamlit = Develop and Deploy Secure and Scalable Web Applications to the Cloud Using a Pure Python Framework /
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The Absolute Beginner's Guide to Python Programming = A Step-by-Step Guide with Examples and Lab Exercises /
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Introduction to Transformers for NLP = With the Hugging Face Library and Models to Solve Problems /
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Secure Web Application Development = A Hands-On Guide with Python and Django /
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Finding Ghosts in Your Data = Anomaly Detection Techniques with Examples in Python /
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Automated Deep Learning Using Neural Network Intelligence = Develop and Design PyTorch and TensorFlow Models Using Python /
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Productive and Efficient Data Science with Python = With Modularizing, Memory profiles, and Parallel/GPU Processing /
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Computer Vision Projects with PyTorch = Design and Develop Production-Grade Models /
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Machine Learning on Geographical Data Using Python = Introduction into Geodata with Applications and Use Cases /
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Raspberry Pi Image Processing Programming = With NumPy, SciPy, Matplotlib, and OpenCV /
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Hands-on Machine Learning with Python = Implement Neural Network Solutions with Scikit-learn and PyTorch /
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Artificial Intelligence in Medical Sciences and Psychology = With Application of Machine Language, Computer Vision, and NLP Techniques /
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Python for MATLAB Development = Extend MATLAB with 300,000+ Modules from the Python Package Index /
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Human-Computer Interaction in Game Development with Python = Design and Develop a Game Interface Using HCI Technologies and Techniques /
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Adaptive Machine Learning Algorithms with Python = Solve Data Analytics and Machine Learning Problems on Edge Devices /
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Beginning PyQt = A Hands-on Approach to GUI Programming with PyQt6 /
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Applied Deep Learning with TensorFlow 2 = Learn to Implement Advanced Deep Learning Techniques with Python /
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Python Challenges = 100 Proven Programming Tasks Designed to Prepare You for Anything /
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Natural Language Processing Projects = Build Next-Generation NLP Applications Using AI Techniques /
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Hands-on Matplotlib = Learn Plotting and Visualizations with Python 3 /
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Modern Deep Learning Design and Application Development = Versatile Tools to Solve Deep Learning Problems /
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Practical Explainable AI Using Python = Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks /
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Data-Driven Alexa Skills = Voice Access to Rich Data Sources for Enterprise Applications /
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Data Science Solutions with Python = Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn /
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C and Python Applications = Embedding Python Code in C Programs, SQL Methods, and Python Sockets /
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Machine Learning with PySpark = With Natural Language Processing and Recommender Systems /
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Web App Development and Real-Time Web Analytics with Python = Develop and Integrate Machine Learning Algorithms into Web Apps /
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Practical Docker with Python = Build, Release, and Distribute Your Python App with Docker /
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Python Unit Test Automation = Automate, Organize, and Execute Unit Tests in Python /
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Econometrics and Data Science = Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems /
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投資報告書自動撰寫平台-以元宇宙概念股為例 = = Investment Report Automatic Writing Platform - Taking Metaverse Concept Stocks as an Example /
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Hands-on guide to Apache Spark 3 = build scalable computing engines for batch and stream data processing /
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Introduction to prescriptive AI = a primer for decision intelligence solutioning with Python /
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Quantitative trading strategies using Python = technical analysis, statistical testing, and machine learning /
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Practical implementation of a data lake = translating customer expectations into tangible technical goals /
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Building computer vision applications using artificial neural networks = with examples in OpenCV and TensorFlow with Python /
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Applied generative AI for beginners = practical knowledge on diffusion models, ChatGPT, and other LLMs /
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Introduction to responsible AI = implement ethical AI using Python /
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Distributed machine learning with Pyspark = migrating effortlessly from Pandas and Scikit-Learn /
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The art of reinforcement learning = fundamentals, mathematics, and implementations with Python /
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Python for natural language processing = programming with NumPy, scikit-learn, Keras, and PyTorch /
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Deep reinforcement learning with Python = RLHF for chatbots and large language models /
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Generative artificial intelligence = exploring the power and potential of generative AI /
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Empowering the public sector with generative AI = from strategy and design to real-world applications /
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Introduction to Python network automation.. Volume II,. Stepping up : beyond the essentials for success
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Introduction to Python and large language models = a guide to language models /
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Poster, Performed : = Understanding Public Opinions of Authorship in Generative Artificial Intelligence Models via Analogy.
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Architecting enterprise AI applications = a guide to designing reliable, scalable, and secure enterprise-grade AI solutions /
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Natural language processing on Oracle cloud infrastructure = building transformer-based nlp solutions using oracle ai and hugging face /
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Stochastic finance with Python = design financial models from probabilistic perspective /
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Building scalable deep learning pipelines on AWS = develop, train, and deploy deep learning models /
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Learning algorithms for Internet of Things = applying Python tools to improve data collection use for system performance /
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Snowflake recipes = a problem-solution approach to implementing modern data pipelines /
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Generative AI apps with LangChain and Python = a project-based approach to building real-world LLM apps /
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Hands-on deep learning = a guide to deep learning with projects and applications /
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Neural networks with TensorFlow and Keras = training, generative models, and reinforcement learning /
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Numerical Python = scientific computing and data science applications with Numpy, SciPy and Matplotlib /
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Data engineering for machine learning pipelines = from Python libraries to ML pipelines and cloud platforms /
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Large language models projects = apply and implement strategies for large language models /
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