Python (Computer program language)
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Python (Computer program language)
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The concept Python (Computer program language) represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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- 20 Python libraries you aren't using (but should)
- 40 algorithms every programmer should know : hone your problem-solving skills by learning different algorithms and their implementation in Python
- 5 questions on Python
- 5 questions on Python
- A Python data analyst's toolkit : learn Python and Python-based libraries with applications in data analysis and statistics
- A concise introduction to programming in Python
- A primer on scientific programming with Python
- A primer on scientific programming with Python
- A primer on scientific programming with Python
- A primer on scientific programming with Python
- A whirlwind tour of Python
- AI Crash Course : a fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python
- AWS with Python and Boto3 : managing EC2 and VPC
- Advanced Python 3 programming techniques
- Advanced Python development : using powerful language features in real-world applications
- Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
- Advanced analytics in power BI with R and Python : ingesting, transforming, visualizing
- Advanced applied deep learning : convolutional neural networks and object detection
- Advanced data analytics using Python : with machine learning, deep learning and NLP examples
- Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
- Advanced deep learning with Python
- Advanced forecasting with Python : with state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR
- Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
- Advanced machine learning with scikit-learn : tools and techniques for predictive analytics in Python
- Advanced web development in Python with Django
- Algorithmen kapieren : visuell lernen und verstehen mit Illustrationen, Alltagsbeispielen und Python-Code
- An introduction to Flask
- Analyzing data using Spark 2.0 DataFrames with Python : learning the basics of Python and Spark DataFrames, and how they work with big data
- Analyzing data with Python
- Apache Spark Streaming with Python and PySpark
- Apache Spark with Python : big data with PySpark and Spark
- Applied data science using Pyspark : learn the end-to-end predictive model-building cycle
- Applied data science with Python and Jupyter
- Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
- Applied natural language processing with Python : implementing machine learning and deep learning algorithms for natural language processing
- Applied neural networks with TensorFlow 2 : API oriented deep learning with Python
- Applied reinforcement learning with Python : with OpenAI Gym, Tensorflow and Keras
- Applied supervised learning with Python : use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
- Applied text analysis with Python : enabling language-aware data products with machine learning
- Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python
- Applying math with Python : practical recipes for solving computational math problems using Python programming and its libraries
- Apprendre à programmer avec Python 3 : avec 60 pages d'exercices corrigés! : objet, multithreading, bases de données, événements, programmation Web, programmation réseau, unicode, impression PDF, Python 2.7 & 3.2, tkinter, cherrypy
- ArcPy and ArcGIS-geospatial analysis with Python : use the ArcPy module to automate the analysis and mapping of geospatial data in ArcGIS
- Artificial intelligence and machine learning fundamentals
- Artificial intelligence and machine learning fundamentals
- Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases
- Artificial intelligence in finance : a Python-based guide
- Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you
- Artificial intelligence with Python : deep neural networks
- Asyncio recipes : a problem-solution approach
- Automate the boring stuff with Python : practical programming for total beginners
- Automate the boring stuff with Python : practical programming for total beginners
- Automated software testing with Python
- Bayesian analysis with Python : introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
- Bayesian analysis with Python : unleash the power and flexibility of the Bayesian framework
- Become a Python data analyst
- Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python
- Become more productive by using IPython
- Begin to code with Python
- Beginning Django : web application development and deployment with Python
- Beginning Django e-commerce
- Beginning Python : from novice to professional
- Beginning Python : from novice to professional
- Beginning Python : using Python 2.6 and Python 3.1
- Beginning Python games development : with Pygame
- Beginning Python visualization : crafting visual transformation scripts
- Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch
- Beginning data analysis with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insight from your existing data
- Beginning data science with Python and Jupyter
- Beginning ethical hacking with Python
- Beginning game programming with Pygame Zero : coding interactive games on Raspberry Pi using Python
- Beginning programming
- Beginning programming with Python for dummies
- Beginning programming with Python® for dummies®
- Best practices in Python : built-in data types
- Beyond basic programming : intermediate Python
- Beyond the basic stuff with Python : best practices for writing clean code
- Big data processing with Apache Spark
- Bioinformatics programming in Python : a practical course for beginners
- Bioinformatics programming using Python
- Bioinformatics with Python Cookbook
- Bioinformatics with Python cookbook : learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology
- Bite-size Python : an introduction to Python programming
- Black hat Python : Python programming for hackers and pentesters
- Block trace analysis and storage system optimization : a practical approach with MATLAB/Python tools
- Build and deploy Lambda functions : AWS with Python and Boto3
- Building Android Apps in Python Using Kivy with Android Studio : With Pyjnius, Plyer, and Buildozer
- Building Python Real-Time Applications with Storm
- Building REST APIs with Flask : create Python web services with MySQL
- Building RESTful Python web services : create web services that are lightweight, maintainable, scalable, and secure using the best tools and techniques designed for Python
- Building Recommender systems with machine learning and AI
- Building advanced OpenCV 3 projects with Python
- Building chatbots with Python : using natural language processing and machine learning
- Building data pipelines with Python : understanding pipeline frameworks, workflow automation, and Python toolsets
- Building machine learning systems with Python : explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
- Building scalable web apps with Python and Google Cloud platform
- Building serverless Python web services with Zappa : build and deploy serverless applications on AWS using Zappa
- Building serverless applications with Python : develop fast, scalable, and cost-effective web applications that are always available
- Building serverless microservices in Python : a complete guide to building, testing, and deploying microservices using serverless computing on AWS
- Building versatile mobile apps with Python and REST : RESTful web services with Django and React
- Building web applications with Flask : use Python and Flask to build amazing web applications, just the way you want them!
- Building web applications with Python and Neo4j : develop exciting and real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django
- Building web apps using Flask and Neo4j : a guide for Python developers
- Classic Computer Science Problems in Python Video Edition
- Classic computer science problems in Python
- Clean Python : elegant coding in Python
- Clean code in Python : refactor your legacy code base
- Cleaning data for effective data science : doing the other 80% of the work with Python, R, and command-line tools
- Cloud native Python : practical techniques to build apps that dynamically scale to handle any volume of data, traffic, or users
- Complex network analysis in Python : recognize - construct - visualize - analyze - interpret
- Computational thinking : just enough math
- Computer vision projects with OpenCV and Python 3 : six end-to-end projects build using machine learning with OpenCV, Python, and TensorFlow
- Core Python Programming
- Core Python applications programming
- Core Python programming
- Cracking codes with Python : an introduction to building and breaking ciphers
- Creating apps in Kivy
- Cython
- Daniel Arbuckle's Mastering Python : building powerful Python applications
- Data Science Programming All-In-One for Dummies
- Data Science mit Python : das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn
- Data analysis and visualization using Python : analyze data to create visualizations for BI systems
- Data analysis with Pandas and Python
- Data analysis with Python : a modern approach
- Data analytics with Spark using Python
- Data engineering with Python and AWS Lambda
- Data exploration in Python
- Data science and machine learning with Python--Hands on!
- Data science for marketing analytics
- Data science from scratch
- Data science from scratch : first principles with Python
- Data science fundamentals for Python and MongoDB
- Data science fundamentals, Part 1, Learning basic concepts, data wrangling, and databases with Python
- Data science fundamentals, Part 2, Machine learning and statistical analysis
- Data science in the cloud with Microsoft Azure machine learning and Python
- Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn
- Data science with Python : combine Python with machine learning principles to discover hidden patterns in raw data
- Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules
- Data science with Python and Dask
- Data science with Python and R
- Data statistics with full stack Python
- Data visualization basics with Python : tips, techniques, and best practices for effective chart visualizations with matplotlib
- Data visualization recipes in Python
- Data visualization with Python and JavaScript : scrape, clean, explore & transform your data
- Data wrangling and analysis with Python
- Data wrangling with Python : creating actionable data from raw sources
- Data wrangling with Python : tips and tools to make your life easier
- Datenanalyse mit Python
- Datenanalyse mit Python : Auswertung von Daten mit Pandas, NumPy und IPython
- Deep Learning - Grundlagen und Implementierung : Neuronale Netze mit Python und PyTorch programmieren
- Deep Learning for Beginners
- Deep Learning mit Python und Keras : Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek
- Deep Learning with PyTorch
- Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition
- Deep learning Kochbuch : Praxisrezepte für einen schnellen Einstieg
- Deep learning cookbook : practical recipes to get started quickly
- Deep learning for coders with fastai and PyTorch : AI applications without a PhD
- Deep learning for natural language processing : creating neural networks with Python
- Deep learning from scratch : building with Python from first principles
- Deep learning receptury
- Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
- Deep learning with PyTorch
- Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
- Deep learning with PyTorch quick start guide : learn to train and deploy neural network models in Python
- Deep learning with Python
- Deep learning with Python : a hands-on introduction
- Deep learning with Python : learn best practices of deep learning models with PyTorch
- Deep learning with Python video edition
- Deep learning with TensorFlow 2 and Keras : regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API
- Deep learning with applications using Python : chatbots and face, object, and speech recognition with TensorFlow and Keras
- Deep neuro-fuzzy systems with Python : with case studies and applications from the industry
- Deep reinforcement learning with Python : with Pytorch, Tensorflow and OpenAI Gym
- Dependency grammar and tagging with SpaCy : learn to represent a parse natural language using dependency grammar
- Deploy machine learning models to production : with Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform
- Derivatives analytics with Python
- Designing data structures in Python : principles & practice
- Designing microservices with Django : an overview of tools and practices
- DevOps in Python : infrastructure as Python
- Developing advanced plots with Matplotlib
- Developing with S3 : AWS with Python and Boto3 series
- Distributed computing with Python : harness the power of multiple computers using Python through this fast-paced informative guide
- Django 2 by example : build powerful and reliable Python web applications from scratch
- Django 2 web development cookbook : 100 practical recipes on building scalable Python web apps with Django 2
- Django 2.2 and Python : the ultimate web development bootcamp
- Django : web development with Python : from an idea to a prototype--a complete guide for web development with the Django framework
- Django RESTful web services : the easiest way to build Python RESTful APIs and web services with Django
- Django project blueprints : develop stunning web application projects with the Django framework
- Doing math with Python : use programming to explore algebra, statistics, calculus, and more!
- ENTERPRISE ARCHITECTURE PATTERNS WITH PYTHON : how to apply ddd, ports and adapters, and ... enterprise architecture design patterns in a pytho
- Effective Python : 59 specific ways to write better Python
- Effective Python : 90 specific ways to write better Python
- Effective Python LiveLessons (video training)
- Effective Python penetration testing : pen test your system like a pro and overcome vulnerabilities by leveraging Python scripts, libraries, and tools
- Effective computation in physics
- Effektiv Python programmieren : 59 Wege für bessere Python-Programme
- Einführung in Data Science : Grundprinzipien der Datenanalyse mit Python
- Einführung in Data Science : Grundprinzipien der Datenanalyse mit Python
- Einführung in Machine Learning mit Python : Praxiswissen Data Science
- Einführung in Python
- Elegant sciPy : the art of scientific Python
- Ensemble learning for AI developers : learn bagging, stacking, and boosting methods with use cases
- Ensemble machine learning cookbook : over 35 practical recipes to explore ensemble machine learning techniques using Python
- Enterprise automation with Python
- Enterprise software with Python : architecture and best practices
- Essential SQLAlchemy
- Essential SQLAlchemy : [mapping Python to databases]
- Expert Python programming : become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7
- Expert Python programming : become an ace Python programmer by learning the best coding practices and advanced-level concepts with Python 3.5
- Expert twisted : event-driven and asynchronous programming with Python
- Financial modelling in Python
- Flask blueprints : dive into the world of the Flask microframework to develop an array of web applications
- Flask by example : unleash the full potential of the Flask web framework by creating simple yet powerful web applications
- Flask framework cookbook : over 80 proven recipes and techniques for Python web development with Flask
- Flask web development
- Flask web development : developing web applications with Python
- Fluent Python : clear, concise, and effective programming
- Foundation dynamic web pages with Python : create dynamic web pages with Django and Flask
- Foundations for analytics with Python : from non-programmer to hacker
- Foundations of Blockchain : the pathway to cryptocurrencies and decentralized blockchain applications
- Foundations of Libvirt development : how to set up and maintain a virtual machine environment with Python
- Foundations of PyGTK development : GUI creation with Python
- Foundations of Python network programming
- Foundations of Python network programming : the comprehensive guide to building network applications with Python
- Foundations of deep reinforcement learning : theory and practice in Python
- Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark
- Function Python programming : create succinct and expressive implementations with functional programming in Python
- Function Python programming : discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads
- Functional programming & Python
- Functional programming in Python
- Functional programming with Python : techniques for maintainable, modular, and testable Python code
- Fundamentals of data analytics in Python LiveLessons
- GANs mit PyTorch selbst programmieren
- Game development with PyGame : write your own games, simulations and demonstrations with Python
- Game programming with Code Angel : learn how to code in Python on Raspberry Pi or PC
- Generative adversarial networks cookbook : over 100 recipes to build generative models using Python, TensorFlow, and Keras
- Geoprocessing with Python
- Get programming : learn to code with Python
- Get programming with Python in motion
- Getting started with BeagleBone
- Getting started with Processing.py
- Getting started with Python : understand key data structures and use Python in object-oriented programming
- Getting started with Python for the Internet of Things : leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi
- Getting started with Python web scraping
- Getting started with Raspberry Pi
- Getting started with Raspberry Pi : getting to know the inexpensive ARM-powered Linux computer
- Getting started with machine learning in Python
- Getting started with pyparsing
- Getting started with the micro:bit : coding and making with the BBC's Open Development Board
- Good habits for great coding : improving programming skills with examples in Python
- Gray hat Python : Python programming for hackers and reverse engineers
- Grokking algorithms : video edition
- Grokking deep learning
- HANDS-ON DATA ANALYSIS WITH PANDAS - : a python data science handbook for data collection,... wrangling, analysis, and visualization
- Hadoop with Python
- Hands on Google Cloud SQL and Cloud Spanner : deployment, administration and use cases with Python
- Hands-On Explainable AI (XAI) with Python
- Hands-On Natural Language Processing with PyTorch 1.x
- Hands-On Vision and Behavior for Self-Driving Cars : Explore Visual Perception, Lane Detection, and Object Classification with Python 3 and OpenCV 4
- Hands-on Bitcoin programming with Python : build powerful online payment centric applications with Python
- Hands-on Blockchain for Python developers : gain blockchain programming skills to build decentralized applications using Python
- Hands-on Docker for microservices with Python : design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes
- Hands-on GPU computing with Python : explore the capabilities of GPUs for solving high performance computational problems
- Hands-on GPU programming with Python and CUDA : explore high-performance parallel computing with CUDA
- Hands-on MQTT programming with Python : work with the lightweight IoT protocol in Python
- Hands-on NLP with NLTK and Scikit-learn
- Hands-on Python natural language processing : explore tools and techniques to analyze and process text with a view to building real-world NLP applications
- Hands-on Q-learning with Python : practical Q-learning with OpenAI Gym, Keras, and TensorFlow
- Hands-on RESTful Python Web Services : Develop RESTful web services or APIs with modern Python 3.7
- Hands-on Scikit-Learn for machine learning applications : data science fundamentals with Python
- Hands-on artificial intelligence for search : building intelligent applications and perform enterprise searches
- Hands-on automated machine learning : a beginner's guide to building automated machine learning systems using AutoML and Python
- Hands-on big data analytics with PySpark : analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
- Hands-on convolutional neural networks with TensorFlow : solve computer vision problems with modeling in TensorFlow and Python
- Hands-on cryptography with Python : leverage the power of Python to encrypt and decrypt data
- Hands-on data analysis with NumPy and Pandas : implement Python packages from data manipulation to processing
- Hands-on data analysis with Pandas : efficiently perform data collection, wrangling, analysis, and visualization using Python
- Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark
- Hands-on data science for marketing : improve your marketing strategies with machine learning using Python and R
- Hands-on data structures and algorithms with Python : write complex and powerful using the latest features of Python 3.7
- Hands-on data visualization with Bokeh : interactive web plotting for Python using Bokeh
- Hands-on deep learning algorithms with Python : master deep learning algorithms with extensive math by implementing them using TensorFlow
- Hands-on deep learning with TensorFlow : uncover what is underneath your data!
- Hands-on ensemble learning with Python : build highly optimized ensemble machine learning models using scikit-learn and Keras
- Hands-on enterprise application development with Python : design data-intensive application with Python 3
- Hands-on enterprise automation with Python : automate common administrative and security tasks with Python
- Hands-on genetic algorithms with Python : applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
- Hands-on image processing with Python : expert techniques for advanced image analysis and effective interpretation of image data
- Hands-on machine learning for algorithmic trading : design and implement investment strategies based on smart algorithms that learn from data using Python
- Hands-on machine learning with IBM Watson : leverage IBM Watson to implement machine learning techniques and algorithms using Python
- Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems
- Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems
- Hands-on machine learning with scikit-learn and scientific Python toolkits : a practical guide to implementing supervised and unsupervised machine learning algorithms in Python
- Hands-on meta learning with Python : meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
- Hands-on natural language processing with PyTorch
- Hands-on natural language processing with Python : a practical guide to applying deep learning architectures to your NLP applications
- Hands-on neuroevolution with Python : build high-performing artificial neural network architectures using neuroevolution-based algorithms
- Hands-on penetration testing with Python : enhance your ethical hacking skills to build automated and intelligent systems
- Hands-on predictive analytics with Python : master the complete predictive analytics process, from problem definition to model deployment
- Hands-on reactive programming with Python
- Hands-on reactive programming with Python : event-driven development unraveled with RxPY
- Hands-on recommendation systems with Python : start building powerful and personalized, recommendation engines with Python
- Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
- Hands-on simulation modeling with Python : develop simulation models to get accurate results and enhance decision-making processes
- Hands-on software engineering with Python : move beyond basic programming and construct reliable and efficient software with complex code
- Hands-on time series analysis with Python : from basics to bleeding edge techniques
- Hands-on transfer learning with Python : implement advanced deep learning and neural network models using TensorFlow and Keras
- Hands-on unsupervised learning using Python : how to discover hidden patterns in unlabeled data
- Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
- Hands-on web scraping with Python : perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
- Head first Python
- Head first Python
- Head first learn to code
- Head first programming : [a learner's guide to programming using the Python language]
- Healthcare analytics made simple : techniques in healthcare computing using machine learning and Python
- Hello Raspberry Pi! : Python programming for kids and other beginners
- Hello world! : computer programming for kids and other beginners
- Hello! Python
- High performance Python
- High performance python : practical performant programming for humans
- High-performance computing with Python 3.x
- Hitchhiker's Guide für Python : Best Practices für Programmierer
- How do I handle missing dictionary keys in Python?
- How to make mistakes in Python
- IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook
- IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python
- Image analysis and text classification using CNNs in PyTorch : learn to build powerful image and document classifiers in minutes
- Image processing and acquisition using Python
- Image processing and acquisition using Python
- Image processing and acquisition using Python
- Implementing cryptography using Python
- Implementing stateful objects or state machines in Python
- Impractical Python projects : playful programming activities to make you smarter
- Integrating Python with Leading Computer Forensics Platforms
- Intelligent projects using Python : 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
- Interactive Spark using PySpark
- Intermediate Python programming : tools and tips for developers
- Internet of Things programming projects : build modern IoT solutions with the Raspberry Pi 3 and Python