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)
595 Items that share the Concept Python (Computer program language)
Context
Context of Python (Computer program language)Subject of
No resources found
No enriched resources found
- 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
- Advanced Python 3 programming techniques
- Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
- Advanced data analytics using Python : with machine learning, deep learning and NLP examples
- Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
- Algorithmen kapieren : visuell lernen und verstehen mit Illustrationen, Alltagsbeispielen und Python-Code
- Apache Spark 2 for beginners : develop large-scale distributed data processing applications using Spark 2 in Scala and Python
- Apache Spark with Python : big data with PySpark and Spark
- Applied Text Analysis with Python
- Applied data science with Python and Jupyter
- ArcGIS blueprints : explore the robust features of Python to create real-world ArcGIS applications through exciting, hands-on projects
- ArcPy and ArcGIS : automating ArcGIS for desktop and ArcGIS online with Python
- 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 with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you
- Asyncio recipes : a problem-solution approach
- Automate the boring stuff with Python : practical programming for total beginners
- Bayesian analysis with Python : unleash the power and flexibility of the Bayesian framework
- BeagleBone By Example
- BeagleBone essentials : harness the power of the BeagleBone Black to manage external environments using C, Bash, and Python/PHP programming
- 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 ethical hacking with Python
- Beginning programming
- Beginning programming with Python® for dummies®
- Beginning python : from novice to professional
- Bioinformatics programming in Python : a practical course for beginners
- Bioinformatics programming using Python
- Bioinformatics with Python Cookbook
- Black hat Python : Python programming for hackers and pentesters
- Blender 2.49 scripting : extend the power and flexibility of Blender with the help of Python: a high-level, easy-to-learn scripting language
- Building Machine Learning Systems with Python
- Building Python Real-Time Applications with Storm
- 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 mapping applications with QGIS : create your own sophisticated applications to analyze and display geospatial information using QGIS and Python
- Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications
- Building serverless microservices in Python : a complete guide to building, testing, and deploying microservices using serverless computing on AWS
- 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
- Classic computer science problems in Python
- Clean Python : elegant coding in Python
- Cloud Native Python
- Complex network analysis in Python : recognize - construct - visualize - analyze - interpret
- Computer Vision with Python 3
- Core Python 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 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 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 2, Machine learning and statistical analysis
- 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 visualization with Python : create an impact with meaningful data insights using interactive and engaging visuals
- Data visualization with Python and JavaScript : scrape, clean, explore & transform your data
- 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 mit Python und Keras : Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek
- Deep Learning with Python
- Deep learning Kochbuch : Praxisrezepte für einen schnellen Einstieg
- Deep learning from scratch : building with Python from first principles
- Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
- Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
- Deep learning with Python : a hands-on introduction
- Deep learning with applications using Python : chatbots and face, object, and speech recognition with TensorFlow and Keras
- Derivatives analytics with Python : data analysis, models, simulation, calibration and hedging
- Designing machine learning systems with Python : design efficient machine learning systems that give you more accurate results
- DevOps in Python : infrastructure as Python
- Developing decentralized applications on the Ethereum network
- Distributed computing with Python : harness the power of multiple computers using Python through this fast-paced informative guide
- Django 1. 2 e-commerce : build powerful e-commerce applications using Django, a leading Python web framework
- Django 1.1 testing and debugging : building rigorously tested and bug-free Django applications
- Django : web development with Python : from an idea to a prototype--a complete guide for web development with the Django framework
- Django fundamentals
- 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!
- Effective Python : 59 specific ways to write better Python
- Effective Python penetration testing : pen test your system like a pro and overcome vulnerabilities by leveraging Python scripts, libraries, and tools
- Effektiv Python programmieren : 59 Wege für bessere Python-Programme
- 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
- Essential SQLAlchemy
- Essential SQLAlchemy : [mapping Python to databases]
- Expert Python programming : learn best practices to designing, coding, and distributing your Python software
- Flask : building Python web services : unleash the full potential of the Flask web framework by creating small to large and powerful web applications : a course three modules
- Flask Web Development, 2nd Edition
- 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 web development
- Flask web development : developing web applications with Python
- Fluent Python
- Foundations for Analytics with Python : From Non-Programmer to Hacker
- 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
- Frank Kane's Taming big data with Apache Spark and Python : real-world examples to help you analyze large datasets with Apache Spark
- Functional Python Programming
- Fundamentals of Python® : data structures
- Geoprocessing with Python
- Geospatial development by example with Python : build your first interactive map and build location-aware applications using cutting-edge examples in Python
- Getting Started with Raspberry Pi
- 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 and Raspberry Pi : learn to design and implement reliable Python applications on Raspberry Pi, using a range of external libraries, the Raspberry Pi's GPIO port, and the camera module
- Getting started with Python data analysis : learn to use powerful Python libraries for effective data processing and analysis
- Getting started with Raspberry Pi : [getting to know the inexpensive ARM-powered Linux computer]
- 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
- Good habits for great coding : improving programming skills with examples in Python
- Gray hat Python : Python programming for hackers and reverse engineers
- Hands-on AI with Python and Keras
- Hands-on Python 3.x GUI programming
- Hands-on big data analytics with PySpark : analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
- Hands-on data science for marketing : improve your marketing strategies with machine learning using Python and R
- Hands-on enterprise automation with Python : automate common administrative and security tasks with Python
- Hands-on machine learning with IBM Watson : leverage IBM Watson to implement machine learning techniques and algorithms using Python
- Hands-on natural language processing with PyTorch
- Hands-on supervised machine learning with Python
- Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
- Head first Python
- Head first learn to code : a brain-friendly guide
- Head first programming : [a learner's guide to programming using the Python language]
- 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 computing with Python 3.x
- Hitchhiker's Guide für Python : Best Practices für Programmierer
- IPython Interactive Computing and Visualization Cookbook
- IPython Notebook Essentials
- Image processing and acquisition using Python
- Image processing and acquisition using Python
- Implementing stateful objects or state machines in Python
- Instant Django 1.5 application development starter : jump into Django with this hands-on guide to practical web application development with Python
- Instant Minecraft: Pi Edition coding how-to : expand your Minecraft world by learning to code with Minecraft: Pi Edition
- Instant Pygame for Python game development how-to
- Instant data intensive apps with pandas how-to : manipulate, visualize, and analyze your data with pandas
- Interactive Spark using PySpark
- Internet of things with Python : interact with the world and rapidly prototype IoT applications using Python
- Introducing Python
- Introducing data science : big data, machine learning, and more, using Python tools
- Introduction to Python : learn how to program today with Python
- Introduction to Python and data science
- Introduction to Python for engineers and scientists : open source solutions for numerical computation
- Introduction to Python programming and developing GUI applications with PyQT
- Introduction to Tornado
- Introduction to computing using Python : an application development focus
- Introduction to machine learning with Python : a guide for data scientists
- Introduction to programming concepts with case studies in Python
- Introduction to programming in Python : an interdisciplinary approach
- IronPython in action
- Jupyter cookbook : over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
- Jython essentials
- K-means and hierarchical clustering with Python
- Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
- Kivy : interactive applications in Python : create cross-platform UI/UX applications and games in Python
- Kivy blueprints : build your very own app-store-ready, multi-touch games and applications with Kivy!
- Kivy cookbook : enhance your skills in developing multitouch applications with Kivy
- Kivy--interactive applications and games in Python : create responsive cross-platform UI/UX applications and games in Python and using the open source Kivy library
- Large scale machine learning with python : learn to build powerful machine learning models quickly and deploy large-scale predictive applications
- Learn More Python 3 the Hard Way : The Next Step for New Python Programmers
- Learn Python 3 the hard way : a very simple introduction to the terrifyingly beautiful world of computers and code
- Learn Python in 7 days : get up-and-running with Python
- Learn Python the hard way : a very simple introduction to the terrifyingly beautiful world of computers and code
- Learn Raspberry Pi Programming with Python : Learn to Program on the World's Most Popular Tiny Computer
- Learn Raspberry Pi programming with Python
- Learn data analysis with Python : lessons in coding
- Learn to program with Minecraft : transform your world with the power of Python
- Learn to program with Python
- Learning BeagleBone Python programming : unleash the potential of BeagleBone using Python
- Learning Cython Programming
- Learning Cython programming : learn the fundamentals of Cython to extend the legacy of your applications
- Learning Django web development : from idea to prototype, a learner's guide for web development wih the Django application framework
- Learning Geospatial Analysis with Python : master GIS and remote sensing analysis using Python with these easy to follow tutorials
- Learning IPython for interactive computing and data visualization
- Learning IPython for interactive computing and data visualization : get started with Python for data analysis and numerical computing in the Jupyter notebook
- Learning NumPy Array
- Learning OpenCV 3 computer vision with Python : unleash the power of computer vision with Python using OpenCV
- Learning Python
- Learning Python
- Learning Python
- Learning Python
- Learning Python
- Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language
- Learning Python application development : take Python beyond scripting to build robust, reusable, and efficient applications
- Learning Python data visualization : master how to build dynamic HTML5-ready SVG charts using Python and the pygal library
- Learning Python design patterns : a practical and fast-paced guide exploring Python design patterns
- Learning Python for forensics : learning the art of designing, developing, and deploying innovative forensic solutions through Python
- Learning Python network programming : utilize Python 3 to get network applications up and running quickly and easily
- Learning Python networking : a complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible
- Learning Python testing : a straightforward and easy approach to testing your Python projects
- Learning Python with Raspberry Pi
- Learning SciPy for numerical and scientific computing : quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy
- Learning Scrapy : learn the art of efficient web scraping and crawling with Python
- Learning concurrency in Python : speed up your Python code with clean, readable, and advanced concurrency techniques
- Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models
- Learning data mining with Python : use Python to manipulate data and build predictive models
- Learning object-oriented programming : explore and crack the OOP code in Python, JavaScript, and C#
- Learning pandas : get to grips with pandas--a versatile and high-performance Python library for data manipulation, analysis, and discovery
- Learning penetration testing with Python : utilize Python scripting to execute effective and efficient penetration tests
- Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python
- Learning robotics using Python : design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and Open-CV!
- Learning scikit-learn : machine learning in Python : experience the benefits of machine learning techniques by applying them to real-world problems using Python and the open source scikit-learn library
- Learning selenium testing tools with Python : a pratical guide on automated web testing with Selenium using Python
- Let's play Minecraft : Plugins entwickeln mit Python : Programmieren lernen ohne Vorkenntnisse
- Linear regression with Python
- Machine Learning Kochbuch : Praktische Lösungen mit Python: von der Vorverarbeitung der Daten bis zum Deep Learning
- Machine Learning mit Python : das Praxis-Handbuch für Data Science, Predictive Analytics und Deep Learning
- Machine Learning mit Python und Scikit-learn und TensorFlow : das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics
- Machine Learning with Microsoft Technologies : Selecting the Right Architecture and Tools for Your Project
- Machine Learning with Python Cookbook
- Machine learning : kurz & gut
- Machine learning for OpenCV : advanced methods and deep learning
- Machine learning for the web : explore the web and make smarter predictions using Python
- Machine learning series : K-Means Clustering in Python
- Machine learning series : decision tree algorithm in Python
- Machine learning series : the Support Vector Machine (SVM) in Python
- Machine learning with PySpark : with natural language processing and recommender systems
- Machine learning with Python for everyone
- Make a Raspberry Pi-controlled robot
- Making Music with Computers : Creative Programming in Python
- Making classes support comparison operations in Python
- Marketing data science : modeling techniques in predictive analytics with R and Python
- Mastering ArcGIS Enterprise Administration
- Mastering Flask : gain expertise in Flask to create dynamic and powerful web applications
- Mastering IPython 4.0 : get to grips with the advanced concepts of interactive computing to make the most out of IPython
- Mastering Machine Learning with scikit-learn
- Mastering Matplotlib 3
- Mastering Object-oriented Python
- Mastering OpenCV 4 with Python : a practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
- Mastering Probabilistic Graphical Models Using Python
- Mastering PyCharm
- Mastering Python : master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers
- Mastering Python Data Analysis
- Mastering Python Forensics
- Mastering Python data visualization : generate effective results in a variety of visually appealing charts using the plotting packages in Python
- Mastering Python design patterns : create various design patterns to master the art of solving problems using Python
- Mastering Python for Finance
- Mastering Python for data science : explore the world of data science through Python and learn how to make sense of data
- Mastering Python for finance : implement advanced state-of-the-art financial statistical applications using Python
- Mastering Python high performance : measure, optimize, and improve the performance of your Python code with this easy-to-follow guide
- Mastering Python networking : advanced networking with Python
- Mastering Python regular expressions : leverage regular expressions in Python even for the most complex features
- Mastering Python scientific computing : a complete guide for Python programmers to master scientific computing using Python APIs and tools
- Mastering SciPy
- Mastering data mining with Python : find patterns hidden in your data : learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniques
- Mastering machine learning with Python in six steps : a practical implementation guide to predictive data analytics using Python
- Mastering matplotlib : a practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
- Mastering natural language processing with Python : maximize your NLP capabilities while creating amazing NLP projects in Python
- Mastering pandas : master the features and capabilities of pandas, a data analysis toolkit for Python
- Mastering pandas for finance : master pandas, an open source Python data analysis library, for financial data analysis
- Mastering predictive analytics with Python : exploit the power of data in your business by building advanced predictive modeling applications with Python
- Mastering social media mining with Python : acquire and analyze data from all corners of the social web with Python
- Math adventures with Python : an illustrated guide to exploring math with code
- Matplotlib for Python developers : build remarkable publication quality plots the easy way
- Matplotlib for Python developers : effective techniques for data visualization with Python
- Matplotlib plotting cookbook : learn how to create professional scientific plots using matplotlib, with more than 60 recipes that cover common use cases
- Maya programming with Python cookbook : master complex workflows and conquer the world with Python and Maya
- Mehr Hacking mit Python : eigene Tools entwickeln für Hacker and Pentester
- Mobile python : rapid prototyping of applications on the mobile platform
- Modeling techniques in predictive analytics with Python and R : a guide to data science
- Modern Python cookbook : the latest in modern Python recipes for the busy modern programmer
- Modular programming with Python : introducing modular techniques for building sophisticated programs using Python
- Monetizing machine learning : quickly turn Python ML ideas into web applications on the serverless cloud
- MongoDB and Python
- More Python programming for the absolute beginner
- NLTK essentials : build cool NLP and machine learning applications using NLTK and other Python libraries
- Natural Language Processing with Python Cookbook
- Natural language processing : Python and NLTK : learning path : learn to build expert NLP and machine learning projects using NLTK and other Python libraries
- Natural language processing fundamentals
- Natural language processing recipes : unlocking text data with machine learning and deep learning using Python
- Natural language processing with Python
- Network science with Python and NetworkX quick start guide : explore and visualize network data effectively
- Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects
- Next-generation web frameworks in Python
- Nonlinear digital filtering with Python : an introduction
- NumPy 1.5 beginner's guide : an action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples
- NumPy : beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library
- NumPy beginner's guide : an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library
- NumPy cookbook
- NumPy cookbook : over 90 fascinating recipes to learn and perform
- NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy
- Numerical Python : a practical techniques approach for industry
- Numerical Python : scientific computing and data science applications with Numpy, SciPy and Matplotlib
- Numerical methods in engineering with Python
- Numerical methods in engineering with Python
- Numerical methods in engineering with Python 3 : /
- OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules
- OpenCV Computer Vision with Python
- OpenCV computer vision examples with Python : a complete guide for dummies
- OpenCV with Python blueprints : design and develop advanced computer vision projects using OpenCV with Python
- OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python
- Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python
- Parallel programming with Python : develop efficient parallel systems using the robust Python environment
- Perl to Python migration
- Practical Convolutional Neural Networks : Implement advanced deep learning models using Python
- Practical Data Wrangling
- Practical Maya Programming with Python
- Practical Maya programming with Python : unleash the power of Python in Maya and unlock your creativity
- Practical Python AI projects : mathematical models of optimization problems with Google OR-tools
- Practical Time Series Analysis
- Practical Web Scraping for Data Science : Best Practices and Examples with Python
- Practical computer vision with SimpleCV
- Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python
- Practical machine learning and image processing : for facial recognition, object detection, and pattern recognition using Python
- Practical machine learning with Python : a problem-solver's guide to building real-world intelligent systems
- Practical programming : an introduction to computer science using Python 3
- Practical programming : an introduction to computer science using Python 3.6
- Praxiseinstieg Deep Learning : mit Python, Caffe, TensorFlow und Spark eigene Deep-Learning-Anwendungen erstellen
- Pro Android Python with SL4A
- Pro DLR in .NET 4
- Pro Django
- Pro Django
- Pro Python best practices : debugging, testing and maintenance
- Pro Python system administration
- Pro Python system administration
- Professional Ironpython : design and develop IronPython techniques
- Program arcade games : with Python and Pygame
- Programmieren lernen mit Python
- Programmieren von Kopf bis Fuss
- Programming ArcGIS 10.1 with Python Cookbook
- Programming ArcGIS with Python cookbook : over 85 hands-on recipes to teach you how to automate your ArcGIS for Desktop geoprocessing tasks using Python
- Programming Python
- Programming Python
- Programming Python
- Programming Python
- Programming computer vision with Python
- Programming for computations -- Python : a gentle introduction to numerical simulations with Python
- Programming with MicroPython : embedded programming with microcontrollers and Python
- PySide GUI application development : develop more dynamic and robust GUI applications using an open source cross-platform UI framework
- PySpark SQL Recipes : with HiveQL, Dataframe and Graphframes
- PySpark recipes : a problem-solution approach with PySpark2
- PyTorch deep learning in 7 days
- PyTorch recipes : a problem-solution approach
- Pyomo-- Optimization modeling in Python
- Pyomo-- Optimization modeling in Python
- Python
- Python 2 and 3 compatibility : with Six and Python-future libraries
- Python 2.6 graphics cookbook : over 100 great recipes for creating and animating graphics using Python
- Python 2.6 text processing : beginner's guide : the easiest way to learn how to manipulate text with Python
- Python 3 : Lernen und professionell anwenden : das umfassende Praxisbuch
- Python 3 : Lernen und professionell anwenden : das umfassende Praxisbuch
- Python 3 : Lernen und professionell anwenden. Das umfassende Praxisbuch
- Python 3 object oriented programming : harness the power of Python 3 objects
- Python 3 object-oriented programming : unleash the power of Python 3 objects
- Python 3 web development beginner's guide : use Python to create, theme and deploy unique web applications
- Python : data analytics and visualization : understand, evaluate, visualize data
- Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules
- Python : end-to-end data analysis : leverage the power of Python to clean, scrape, analyze, and visualize your data : a course in three modules
- Python : essential reference
- Python : journey from novice to expert : learn core concepts of Python and unleash its power to script highest quality Python programs
- Python : kurz & gut
- Python : master the art of design patterns : ensure your code is sleek, efficient and elegant by mastering powerful Python design patterns : a course in three modules
- Python : penetration testing for developers : unleash the power of Python scripting to execute effective and efficient penetration tests : a course in three modules
- Python : programuj szybko i wydajnie
- Python : real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python
- Python : visual quickstart guide
- Python Algorithms : mastering basic algorithms in the Python language
- Python Algorithms : mastering basic algorithms in the python language
- Python Crashkurs : eine praktische, projektbasierte Programmiereinführung
- Python Deep Learning
- Python Deep Learning Cookbook
- Python GUI programming cookbook : over 80 object-oriented recipes to help you create mind-blowing GUIs in Python
- Python Ge-Packt
- Python Interviews : discussions with Python experts
- Python Microservices Development
- Python Multimedia beginner's guide
- Python Programming for the Absolute Beginner, Third Edition
- Python Projects for Kids
- Python and AWS Cookbook
- Python and HDF5
- Python and Matplotlib essentials for scientists and engineers
- Python and XML
- Python application series : Python made simple
- Python application series : machine learning using Tensorflow
- Python business intelligence cookbook : leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
- Python companion to data science : collect - organize - explore - predict - value
- Python continuous integration and delivery : a concise guide with examples
- Python cookbook
- Python cookbook
- Python cookbook
- Python crash course : a hands-on, project-based introduction to programming
- Python crash course : a hands-on, project-based introduction to programming
- Python data analysis : learn how to apply powerful data analysis techniques with popular open source Python modules
- Python data analysis cookbook : over 140 practical recipes to help you make sense of your data with ease and build production-ready data apps
- Python data analytics : data analysis and science using Pandas, matplotlib, and the Python programming language
- Python data science cookbook : over 60 practical recipes to help you explore Python and its robust data science capabilities
- Python data science essentials : become an efficient data science practitioner by thoroughly understanding the key concepts of Python
- Python data science handbook : essential tools for working with data
- Python data visualization cookbook : over 60 recipes that will enable you to learn how to create attractive visualizations using Python's most popular libraries
- Python data visualization cookbook : over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries
- Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
- Python descriptors : understanding and using the descriptor protocol
- Python developer's handbook
- Python digital forensics cookbook : effective Python recipes for digital investigations
- Python essential reference
- Python essential reference
- Python essentials : modernize existing Python code and plan code migrations to Python using this definitive guide
- Python for Google app engine : master the full range of development features provided by Google App Engine to build and run scalable web applications in Python
- Python for R users : a data science approach
- Python for Unix and Linux system administration
- Python for bioinformatics
- Python for data analysis
- Python for data analysis
- Python for data analysis : data wrangling with Pandas, NumPy, and IPython
- Python for data mining quick syntax reference
- Python for data science for dummies
- Python for experimental psychologists
- Python for finance
- Python for finance : financial modeling and quantitative analysis explained
- Python for finance : mastering data-driven finance
- Python for kids for dummies
- Python for scientists
- Python for secret agents : gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agents, Volume II
- Python for teenagers : learn to program like a superhero!
- Python forensics : a workbench for inventing and sharing digital forensic technology
- Python game programming by example : a pragmatic guide for developing your own games with Python
- Python geospatial analysis cookbook : 60 recipes to work with typology, overlays, indoor routing, and web applications analysis with Python
- Python geospatial analysis essentials : process, analyze, and display geospatial data using Python libraries and related tools
- Python geospatial development : build a complete and sofisticated mapping application from scratch using Python tools for GIS development
- Python geospatial development : learn to build sophisticated mapping applications from scratch using Python tools for geospatial development
- Python geospatial development essentials : utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application
- Python high performance programming : boost the performance of your Python programs using advanced techniques
- Python in a nutshell
- Python in a nutshell
- Python in a nutshell
- Python in a nutshell
- Python in practice : create better programs using concurrency, libraries, and patterns
- Python kinderleicht! : Einfach programmieren lernen - nicht nur für Kids
- Python kinderleicht! : Einfach programmieren lernen - nicht nur für Kids / Jason Briggs ; Übersetzung aus dem Amerikanischen von Volker Haxsen
- Python kurz & gut
- Python kurz & gut
- Python leksykon kieszonkowy : podreczn̜y przewodnik po jezuku Python!
- Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow
- Python machine learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics
- Python machine learning blueprints : intuitive data projects you can relate to : an approachable guide to applying advanced machine learning methods to everyday problems
- Python machine learning by example : easy-to-follow examples that get you up and running with machine learning
- Python machine learning cookbook : 100 recipes that teach you how to perform various machine learning tasks in the real world
- Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
- Python network programming cookbook : over 70 detailed recipes to develop practical solutions for a wide range of real-world network programming tasks
- Python network programming cookbook : overcome real-world networking challenges
- Python parallel programming cookbook : master efficient parallel programming to build powerful applications using Python
- Python passive network mapping : P2NMAP
- Python penetration testing essentials : employ the power of Python to get the best out of pentesting
- Python phrasebook : essential code and commands
- Python playground : geeky projects for the curious programmer
- Python pocket reference
- Python pocket reference
- Python pocket reference
- Python power! : the comprehensive guide
- Python programmieren lernen mit Minecraft
- Python programming for Arduino : develop practical Internet of things prototypes and applications with Arduino and Python
- Python programming for teens
- Python programming fundamentals
- Python programming fundamentals
- Python programming in context, second edition
- Python programming on Win32
- Python programming with Raspberry Pi : build small yet powerful robots and automation systems with Raspberry Pi Zero
- Python programming with the Java class libraries : a tutorial for building Web and Enterprise applications
- Python projects
- Python projects
- Python requests essentials : learn how to integrate your applications seamlessly with web services using Python requests
- Python scripting for ArcGIS
- Python scripting for computational science
- Python scripting for computational science
- Python scripts for automation of current-voltage testing of semiconductor devices (FY17
- Python series : advanced topics in Python
- Python standard library
- Python standard library
- Python survival skills
- Python testing cookbook : over 70 simple but incredibly effective recipes for taking control of automated testing using powerful Python testing tools
- Python testing with Pytest : simple, rapid, effective, and scalable
- Python text processing with NLTK 2.0 Cookbook : over 80 practical recipes for using Python's NLTK suite of libraries to maximize your natural language processing capabilities
- Python tools for Visual Studio : leverage the power of the Visual Studio IDE to develop better and more efficient Python projects
- Python unit test automation : practical techniques for Python developers and testers
- Python unlocked : become more fluent in Python--learn strategies and techniques for smart and high-performance Python programming
- Python von Kopf bis Fuss
- Python von Kopf bis Fuss
- Python web penetration testing cookbook : over 60 indispensable Python recipes to ensure you always have the right code on hand for web application testing
- Python web scraping : fetching data from the web
- Python without fear : a beginner's guide that makes you feel smart
- Python, PyGame, and Raspberry Pi game development
- Python-Tricks : praktische Tipps für Fortgeschrittene
- Python. Receptury
- Python: : Advanced Predictive Analytics
- QGIS Python programming cookbook : over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework
- Quantifying similarity and distance measures for vector-based datasets : histograms, signals, and probability distribution functions
- Rapid GUI programming with Python and Qt : the definitive guide to PyQt programming
- Rapid web applications with TurboGears : using Python to create Ajax-powered sites
- Raspberry Pi : making amazing projects right from scratch! : explore the powers of Raspberry Pi and build your very own projects right out of the box : a course in three modules
- Raspberry Pi Media Center
- Raspberry Pi Supercomputing and Scientific Programming : MPI4PY, NumPY, and SciPY for Enthusiasts
- Raspberry Pi computer architecture essentials : explore Raspberry Pi's architecture through innovative and fun projects
- Raspberry Pi cookbook for Python programmers : over 50 easy-to-comprehend tailor-made recipes to get the most out of the Raspberry Pi and unleash its huge potential using Python
- Raspberry Pi für Einsteiger
- Raspberry Pi image processing programming : develop real-life examples with Python, Pillow, and SciPy
- Raspberry Pi programmieren mit Python
- Raspberry pi cookbook
- Real world instrumentation with Python
- Real world projects in Python 3.x
- Regression analysis with Python : learn the art of regression analysis with Python
- Robot Framework Test Automation
- Routineaufgaben mit Python automatisieren : Praktische Programmierlösungen für Einsteiger
- SAS Viya : the Python perspective
- Sams teach yourself Django in 24 hours
- Sams teach yourself Python programming for Raspberry Pi in 24 hours
- SciPy Recipes
- SciPy and NumPy
- Scientific computing with Python 3 : an example-rich, comprehensive guide for all of your Python computational needs
- Scikit-learn : machine learning simplified
- Scikit-learn Cookbook - Second Edition
- Scikit-learn Cookbook : over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation
- Scikit-learn essentials : mastering the Scikit-learn machine learning library for Python
- Scripting with objects : a comparative presentation of object-oriented scripting with Perl and Python
- Semi-automated processing of trajectory simulator output files for model evaluation
- Simple plugin methodology in python
- Software Architecture with Python
- Software architecture with Python : design and architect highly scalable, robust, clean, and high performance applications in Python
- Soil physics with Python : transport in the soil-plant-atmosphere system
- Solving PDEs in Python : the FEniCS tutorial I
- Source-code stylometry improvements in Python
- Spark for Python developers : a concise guide to implementing Spark big data analytics for Python developers and building a real-time and insightful trend tracker data-intensive app
- Spring Python 1.1 : create powerful and versatile Spring Python applications using pragmatic libraries and useful abstractions
- Statistical application development with R and Python : power of statistics using R and Python
- Statistics, data mining, and machine learning in astronomy : a practical Python guide for the analysis of survey data
- Supercharged Python : take your code to the next level
- TDD w praktyce : Nieawodny kod w jez̜yku Python
- TensorFlow for deep learning{u2014}implementing neural networks
- TensorFlow reinforcement learning quick start guide : get up and running with training and deploying intelligent, self-learning agents using Python
- Test-driven Python development : develop high-quality and maintainable Python applications using the principles of test-driven development
- Test-driven development with Django : develop powerful, fully-featured Django applications by writing tests first
- Test-driven development with Python
- Test-driven development with Python : obey the testing goat : using Django, Selenium, and JavaScript
- Testing Python : applying unit testing, TDD, BDD, and acceptance testing
- Text analytics with Python : a practical real-world approach to gaining actionable insights from your data
- Text analytics with Python : a practitioner's guide to natural language processing
- Text processing in Python
- The Blender Python API : precision 3D modeling and add-on development
- The Python 3 standard library by example
- The Python apprentice : a practical and thorough introduction to the Python programming language
- The Python quick syntax reference
- The Python standard library by example