Python (Computer program language).

Lean Python = Learn Just Enough Python to Build Useful Tools / by: (Language materials, printed)

Python Descriptors by: (Language materials, printed)

Python Recipes Handbook = A Problem-Solution Approach / by: (Language materials, printed)

Python Descriptors = Understanding and Using the Descriptor Protocol / by: (Language materials, printed)

Practical Video Game Bots = Automating Game Processes using C++, Python, and AutoIt / by: (Language materials, printed)

Computational Metrics for Soccer Analysis = Connecting the dots / by: (Language materials, printed)

Personal Finance with Python = Using pandas, Requests, and Recurrent / by: (Language materials, printed)

Practical Docker with Python = Build, Release and Distribute your Python App with Docker / by: (Language materials, printed)

Good Habits for Great Coding = Improving Programming Skills with Examples in Python / by: (Language materials, printed)

MySQL Connector/Python Revealed = SQL and NoSQL Data Storage Using MySQL for Python Programmers / by: (Language materials, printed)

Data Analysis and Visualization Using Python = Analyze Data to Create Visualizations for BI Systems / by: (Language materials, printed)

Learn to Program with Python 3 = A Step-by-Step Guide to Programming / by: (Language materials, printed)

Applied Deep Learning = A Case-Based Approach to Understanding Deep Neural Networks / by: (Language materials, printed)

Website Scraping with Python = Using BeautifulSoup and Scrapy / by: (Language materials, printed)

Practical Machine Learning with Python = A Problem-Solver's Guide to Building Real-World Intelligent Systems / by: (Language materials, printed)

Python Data Analytics = With Pandas, NumPy, and Matplotlib / by: (Language materials, printed)

Applied Natural Language Processing with Python = Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / by: (Language materials, printed)

Practical Quantum Computing for Developers = Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience / by: (Language materials, printed)

Python for Data Mining Quick Syntax Reference by: (Language materials, printed)

Applied Scientific Computing = With Python / by: (Language materials, printed)

Guide to Programming for the Digital Humanities = Lessons for Introductory Python / by: (Language materials, printed)

Pro Machine Learning Algorithms = A Hands-On Approach to Implementing Algorithms in Python and R / by: (Language materials, printed)

Learn Raspberry Pi Programming with Python = Learn to Program on the World's Most Popular Tiny Computer / by: (Language materials, printed)

Practical Computer Vision Applications Using Deep Learning with CNNs = With Detailed Examples in Python Using TensorFlow and Kivy / by: (Language materials, printed)

Practical Social Network Analysis with Python by: (Language materials, printed)

Practical Web Scraping for Data Science = Best Practices and Examples with Python / by: (Language materials, printed)

Make Your Own Python Text Adventure = A Guide to Learning Programming / by: (Language materials, printed)

Advanced Data Analytics Using Python = With Machine Learning, Deep Learning and NLP Examples / by: (Language materials, printed)

Introduction to Deep Learning Business Applications for Developers = From Conversational Bots in Customer Service to Medical Image Processing / by: (Language materials, printed)

Data Science Fundamentals for Python and MongoDB by: (Language materials, printed)

wxPython Recipes = A Problem - Solution Approach / by: (Language materials, printed)

Python Graphics = A Reference for Creating 2D and 3D Images / by: (Language materials, printed)

Deep Learning for Natural Language Processing = Creating Neural Networks with Python / by: (Language materials, printed)

Introduction to Python for Engineers and Scientists = Open Source Solutions for Numerical Computation / by: (Language materials, printed)

Reinforcement Learning = With Open AI, TensorFlow and Keras Using Python / by: (Language materials, printed)

Defending IoT Infrastructures with the Raspberry Pi = Monitoring and Detecting Nefarious Behavior in Real Time / by: (Language materials, printed)

Learn Data Analysis with Python = Lessons in Coding / by: (Language materials, printed)

Statistical Physics and Computational Methods for Evolutionary Game Theory by: (Language materials, printed)

Deep Learning with Applications Using Python = Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras / by: (Language materials, printed)

Practical Python AI Projects = Mathematical Models of Optimization Problems with Google OR-Tools / by: (Language materials, printed)

asyncio Recipes = A Problem-Solution Approach / by: (Language materials, printed)

Practical Cryptography in Python = Learning Correct Cryptography by Example / by: (Language materials, printed)

Python for the Life Sciences = A Gentle Introduction to Python for Life Scientists / by: (Language materials, printed)

A Beginners Guide to Python 3 Programming by: (Language materials, printed)

Text Analytics with Python = A Practitioner's Guide to Natural Language Processing / by: (Language materials, printed)

DevOps in Python = Infrastructure as Python / by: (Language materials, printed)

Applied Reinforcement Learning with Python = With OpenAI Gym, Tensorflow, and Keras / by: (Language materials, printed)

Beginning Ethereum Smart Contracts Programming = With Examples in Python, Solidity, and JavaScript / by: (Language materials, printed)

PyTorch Recipes = A Problem-Solution Approach / by: (Language materials, printed)

Natural Language Processing Recipes = Unlocking Text Data with Machine Learning and Deep Learning using Python / by: (Language materials, printed)

Python, PyGame, and Raspberry Pi Game Development by: (Language materials, printed)

Building Telegram Bots = Develop Bots in 12 Programming Languages using the Telegram Bot API / by: (Language materials, printed)

Expert Twisted = Event-Driven and Asynchronous Programming with Python / by: (Language materials, printed)

Learn Keras for Deep Neural Networks = A Fast-Track Approach to Modern Deep Learning with Python / by: (Language materials, printed)

Practical Machine Learning and Image Processing = For Facial Recognition, Object Detection, and Pattern Recognition Using Python / by: (Language materials, printed)

Machine Learning Applications Using Python = Cases Studies from Healthcare, Retail, and Finance / by: (Language materials, printed)

The Python Workbook = A Brief Introduction with Exercises and Solutions / by: (Language materials, printed)

Practical Django 2 and Channels 2 = Building Projects and Applications with Real-Time Capabilities / by: (Language materials, printed)

Foundations of PyGTK Development = GUI Creation with Python / by: (Language materials, printed)

Numerical Python = Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib / by: (Language materials, printed)

Building Chatbots with Python = Using Natural Language Processing and Machine Learning / by: (Language materials, printed)

Learn PySpark = Build Python-based Machine Learning and Deep Learning Models / by: (Language materials, printed)

Learn Computer Vision Using OpenCV = With Deep Learning CNNs and RNNs / by: (Language materials, printed)

Advanced Applied Deep Learning = Convolutional Neural Networks and Object Detection / by: (Language materials, printed)

Machine Learning with Microsoft Technologies = Selecting the Right Architecture and Tools for Your Project / by: (Language materials, printed)

Advanced Guide to Python 3 Programming by: (Language materials, printed)

Game Development with Ren'Py = Introduction to Visual Novel Games Using Ren'Py, TyranoBuilder, and Twine / by: (Language materials, printed)

Pro Python 3 = Features and Tools for Professional Development / by: (Language materials, printed)

PySpark SQL Recipes = With HiveQL, Dataframe and Graphframes / by: (Language materials, printed)

PowerShell and Python Together = Targeting Digital Investigations / by: (Language materials, printed)

Python for Teenagers = Learn to Program like a Superhero! / by: (Language materials, printed)

Deep Learning for NLP and Speech Recognition by: (Language materials, printed)

Foundations of Libvirt Development = How to Set Up and Maintain a Virtual Machine Environment with Python / by: (Language materials, printed)

Beginning Anomaly Detection Using Python-Based Deep Learning = With Keras and PyTorch / by: (Language materials, printed)

Practical Data Science with Python 3 = Synthesizing Actionable Insights from Data / by: (Language materials, printed)

Building Android Apps in Python Using Kivy with Android Studio = With Pyjnius, Plyer, and Buildozer / by: (Language materials, printed)

Machine Learning with PySpark = With Natural Language Processing and Recommender Systems / by: (Language materials, printed)

Designing Microservices with Django = An Overview of Tools and Practices / by: (Language materials, printed)

Building REST APIs with Flask = Create Python Web Services with MySQL / by: (Language materials, printed)

Python for SAS Users = A SAS-Oriented Introduction to Python / by: (Language materials, printed)

Python Continuous Integration and Delivery = A Concise Guide with Examples / by: (Language materials, printed)

Clean Python = Elegant Coding in Python / by: (Language materials, printed)

Python Projects for Beginners = A Ten-Week Bootcamp Approach to Python Programming / by: (Language materials, printed)

Learn TensorFlow 2.0 = Implement Machine Learning and Deep Learning Models with Python / by: (Language materials, printed)

Hands-on Scikit-Learn for Machine Learning Applications = Data Science Fundamentals with Python / by: (Language materials, printed)

Beginning PyQt = A Hands-on Approach to GUI Programming / by: (Language materials, printed)

Beginning Game Programming with Pygame Zero = Coding Interactive Games on Raspberry Pi Using Python / by: (Language materials, printed)

Hands On Google Cloud SQL and Cloud Spanner = Deployment, Administration and Use Cases with Python / by: (Language materials, printed)

Machine Learning in the Oil and Gas Industry = Including Geosciences, Reservoir Engineering, and Production Engineering with Python / by: (Language materials, printed)

Developing Cognitive Bots Using the IBM Watson Engine = Practical, Hands-on Guide to Developing Complex Cognitive Bots Using the IBM Watson Platform / by: (Language materials, printed)

Building Computer Vision Applications Using Artificial Neural Networks = With Step-by-Step Examples in OpenCV and TensorFlow with Python / by: (Language materials, printed)

Practical Blockchains and Cryptocurrencies = Speed Up Your Application Development Process and Develop Distributed Applications with Confidence / by: (Language materials, printed)

Python lernen in abgeschlossenen Lerneinheiten = Programmieren für Einsteiger mit vielen Beispielen / by: (Language materials, printed)

Hands-on Time Series Analysis with Python = From Basics to Bleeding Edge Techniques / by: (Language materials, printed)

IoT Machine Learning Applications in Telecom, Energy, and Agriculture = With Raspberry Pi and Arduino Using Python / by: (Language materials, printed)

Game Programming with Code Angel = Learn how to code in Python on Raspberry Pi or PC / by: (Language materials, printed)

Deep Neuro-Fuzzy Systems with Python = With Case Studies and Applications from the Industry / by: (Language materials, printed)

The Definitive Guide to Masonite = Building Web Applications with Python / by: (Language materials, printed)

Finite Element Analysis for Civil Engineering with DIANA Software by: (Language materials, printed)

Advanced Python Development = Using Powerful Language Features in Real-World Applications / by: (Language materials, printed)

Thinking in Pandas = How to Use the Python Data Analysis Library the Right Way / by: (Language materials, printed)

Django Standalone Apps = Learn to Develop Reusable Django Libraries / by: (Language materials, printed)

Building Versatile Mobile Apps with Python and REST = RESTful Web Services with Django and React / by: (Language materials, printed)

Ensemble Learning for AI Developers = Learn Bagging, Stacking, and Boosting Methods with Use Cases / by: (Language materials, printed)

Interaktive Datenvisualisierung in Wissenschaft und Unternehmenspraxis by: (Language materials, printed)

Introduction to Data Systems = Building from Python / by: (Language materials, printed)

Quantum Computing Solutions = Solving Real-World Problems Using Quantum Computing and Algorithms / by: (Language materials, printed)

Practical Python Data Visualization = A Fast Track Approach To Learning Data Visualization With Python / by: (Language materials, printed)

Numerical Python in Astronomy and Astrophysics = A Practical Guide to Astrophysical Problem Solving / by: (Language materials, printed)

Generating a New Reality = From Autoencoders and Adversarial Networks to Deepfakes / by: (Language materials, printed)

Advanced Forecasting with Python = With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR / by: (Language materials, printed)

Decoupled Django = Understand and Build Decoupled Django Architectures for JavaScript Front-ends / by: (Language materials, printed)

Data Science Revealed = With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning / by: (Language materials, printed)

Introduction to Computational Thinking = Problem Solving, Algorithms, Data Structures, and More / by: (Language materials, printed)

Natural Language Processing Recipes = Unlocking Text Data with Machine Learning and Deep Learning Using Python / by: (Language materials, printed)

Python Testing with Selenium = Learn to Implement Different Testing Techniques Using the Selenium WebDriver / by: (Language materials, printed)

Basic Python for Data Management, Finance, and Marketing = Advance Your Career by Learning the Most Powerful Analytical Tool / by: (Language materials, printed)

Programming Basics = Getting Started with Java, C#, and Python / by: (Language materials, printed)

Optimizing Visual Studio Code for Python Development = Developing More Efficient and Effective Programs in Python / by: (Language materials, printed)

Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment = Approaches, Case Studies and Python Applications / by: (Language materials, printed)

Practical Natural Language Processing with Python = With Case Studies from Industries Using Text Data at Scale / by: (Language materials, printed)

Hyperparameter Optimization in Machine Learning = Make Your Machine Learning and Deep Learning Models More Efficient / by: (Language materials, printed)

Deep Reinforcement Learning with Python = With PyTorch, TensorFlow and OpenAI Gym / by: (Language materials, printed)

Deep Learning with Python = Learn Best Practices of Deep Learning Models with PyTorch / by: (Language materials, printed)

Deploy Machine Learning Models to Production = With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform / by: (Language materials, printed)

Ontologies with Python = Programming OWL 2.0 Ontologies with Python and Owlready2 / by: (Language materials, printed)

A Python Data Analyst’s Toolkit = Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics / by: (Language materials, printed)

Foundation Db2 and Python = Access Db2 with Module-Based API Examples Using Python / by: (Language materials, printed)

Algebra and Geometry with Python by: (Language materials, printed)

Explainable AI with Python by: (Language materials, printed)

Programming Microcontrollers with Python = Experience the Power of Embedded Python / by: (Language materials, printed)

Transactional Machine Learning with Data Streams and AutoML = Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python / by: (Language materials, printed)

Introduction to Python Network Automation = The First Journey / by: (Language materials, printed)

Implementing Machine Learning for Finance = A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios / by: (Language materials, printed)

Mastering Voice Interfaces = Creating Great Voice Apps for Real Users / by: (Language materials, printed)

Visual Studio Code Distilled = Evolved Code Editing for Windows, macOS, and Linux / by: (Language materials, printed)

Introduction to Python for Kids = Learn Python the Fun Way by Completing Activities and Solving Puzzles / by: (Language materials, printed)

Algorithms on Trees and Graphs = With Python Code / by: (Language materials, printed)

AI for Healthcare with Keras and Tensorflow 2.0 = Design, Develop, and Deploy Machine Learning Models Using Healthcare Data / by: (Language materials, printed)

Simulation with Python = Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences / by: (Language materials, printed)

Web Application Development with Streamlit = Develop and Deploy Secure and Scalable Web Applications to the Cloud Using a Pure Python Framework / by: (Language materials, printed)

Programming in Two Semesters = Using Python and Java / by: (Language materials, printed)

The Absolute Beginner's Guide to Python Programming = A Step-by-Step Guide with Examples and Lab Exercises / by: (Language materials, printed)

Applied Time Series Analysis and Forecasting with Python by: (Language materials, printed)

Introduction to Transformers for NLP = With the Hugging Face Library and Models to Solve Problems / by: (Language materials, printed)

Secure Web Application Development = A Hands-On Guide with Python and Django / by: (Language materials, printed)

Finding Ghosts in Your Data = Anomaly Detection Techniques with Examples in Python / by: (Language materials, printed)

Automated Deep Learning Using Neural Network Intelligence = Develop and Design PyTorch and TensorFlow Models Using Python / by: (Language materials, printed)

DevOps in Python = Infrastructure as Python / by: (Language materials, printed)

Productive and Efficient Data Science with Python = With Modularizing, Memory profiles, and Parallel/GPU Processing / by: (Language materials, printed)

Computer Vision Projects with PyTorch = Design and Develop Production-Grade Models / by: (Language materials, printed)

Hands-on AIOps = Best Practices Guide to Implementing AIOps / by: (Language materials, printed)

Machine Learning on Geographical Data Using Python = Introduction into Geodata with Applications and Use Cases / by: (Language materials, printed)

Raspberry Pi Image Processing Programming = With NumPy, SciPy, Matplotlib, and OpenCV / by: (Language materials, printed)

Hands-on Machine Learning with Python = Implement Neural Network Solutions with Scikit-learn and PyTorch / by: (Language materials, printed)

Pragmatic Python Programming = Learning Python the Smart Way / by: (Language materials, printed)

Artificial Intelligence in Medical Sciences and Psychology = With Application of Machine Language, Computer Vision, and NLP Techniques / by: (Language materials, printed)

Python for MATLAB Development = Extend MATLAB with 300,000+ Modules from the Python Package Index / by: (Language materials, printed)

Human-Computer Interaction in Game Development with Python = Design and Develop a Game Interface Using HCI Technologies and Techniques / by: (Language materials, printed)

Adaptive Machine Learning Algorithms with Python = Solve Data Analytics and Machine Learning Problems on Edge Devices / by: (Language materials, printed)

Beginning PyQt = A Hands-on Approach to GUI Programming with PyQt6 / by: (Language materials, printed)

Artificial Intelligence with Python by: (Language materials, printed)

Applied Deep Learning with TensorFlow 2 = Learn to Implement Advanced Deep Learning Techniques with Python / by: (Language materials, printed)

Luminescence Signal Analysis Using Python by: (Language materials, printed)

Python Challenges = 100 Proven Programming Tasks Designed to Prepare You for Anything / by: (Language materials, printed)

Natural Language Processing Projects = Build Next-Generation NLP Applications Using AI Techniques / by: (Language materials, printed)

Hands-on Matplotlib = Learn Plotting and Visualizations with Python 3 / by: (Language materials, printed)

Modern Deep Learning Design and Application Development = Versatile Tools to Solve Deep Learning Problems / by: (Language materials, printed)

Practical Explainable AI Using Python = Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks / by: (Language materials, printed)

Data-Driven Alexa Skills = Voice Access to Rich Data Sources for Enterprise Applications / by: (Language materials, printed)

Data Science Solutions with Python = Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn / by: (Language materials, printed)

C and Python Applications = Embedding Python Code in C Programs, SQL Methods, and Python Sockets / by: (Language materials, printed)

Machine Learning with PySpark = With Natural Language Processing and Recommender Systems / by: (Language materials, printed)

Web App Development and Real-Time Web Analytics with Python = Develop and Integrate Machine Learning Algorithms into Web Apps / by: (Language materials, printed)

Practical Docker with Python = Build, Release, and Distribute Your Python App with Docker / by: (Language materials, printed)

Python Unit Test Automation = Automate, Organize, and Execute Unit Tests in Python / by: (Language materials, printed)

Econometrics and Data Science = Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems / by: (Language materials, printed)

R and Python for oceanographers = a practical guide with applications / by: (Language materials, printed)

Bootstrapping = an integrated approach with python and stata / by: (Language materials, printed)