Python (Computer program language)
Resource Information
The concept Python (Computer program language) represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
The Resource
Python (Computer program language)
Resource Information
The concept Python (Computer program language) represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
- Label
- Python (Computer program language)
A sample of Items that share the Concept Python (Computer program language) See All
Context
Context of Python (Computer program language)Subject of
No resources found
No enriched resources found
- 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 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
- Basic Python for data management, finance, and marketing : advance your career by learning the most powerful analytical tool
- 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 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 data science applications with FastAPI : develop, manage, and deploy efficient machine learning applications with Python
- 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
- 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
- DATA SCIENCE SOLUTIONS WITH PYTHON : fast and scalable models using keras, pyspark mllib, h2o ..., xgboost, and scikit-learn
- Dancing with Python : Learn Python Software Development from Scratch and Get Started with Quantum Computing
- 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 gaining valuable insights from real data with machine learning
- 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
- Demonstrating solarPILOT's Python API through heliostat optimal aimpoint strategy use case : preprint
- 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 Db2 and Python : access Db2 with module-based API examples using Python
- 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 Streamlit for data science : create and deploy Streamlit web applications from scratch in Python
- 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
- 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 Markov models with Python : implement probabilistic models for learning complex data sequences using Python ecosystem
- 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 analysis, classifaction and change detection in remote sensing : with algorithms for ENVI/IDL and Python
- Image processing and acquisition using Python
- Image processing and acquisition using Python
- Image processing and acquisition using Python
- Implementing cryptography using Python