Python (Computer program language)
Overview
| Works: | 399 works in 329 publications in 329 languages | |
|---|---|---|
Titles
Beginning Python visualization :crafting visual transformation scripts /
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Programming in Python 3 :a complete introduction to the Python language /
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Rapid GUI programming with Python and Qt :the definitive guide to PyQt programming /
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Gray hat Python :Python programming for hackers and reverse engineers /
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Foundations of Python network programmingthe comprehensive guide to building network applications with Python /
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Violent pythona cookbook for hackers, forensic analysts, penetration testers, and security engineers /
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Mastering Python regular expressions :leverage regular expressions in Python even for the most complex features /
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Python algorithmsmastering basic algorithms in the python language /
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Python forensicsa workbench for inventing and sharing digital forensic technology /
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Elementary mechanics using Pythona modern course combining analytical and numerical techniques /
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Python data analyticsdata analysis and science using Pandas, matplotlib, and the Python programming language /
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Marketing data science :modeling techniques in predictive analytics with R and Python /
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Statistics, data mining, and machine learning in astronomya practical Python guide for the analysis of survey data /
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Programming for computations - Pythona gentle introduction to numerical simulations with Python /
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Derivatives analytics with Pythondata analysis, models, simulation, calibration and hedging /
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Text analytics with Pythona practical real-world approach to gaining actionable insights from your data /
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Introduction to data sciencea Python approach to concepts, techniques and applications /
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Python unit test automationpractical techniques for Python developers and testers /
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Raspberry Pi image processing programmingdevelop real-life examples with Python, Pillow, and SciPy /
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Comparative approaches to using R and Python for statistical data analysis
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Raspberry Pi supercomputing and scientific programmingMPI4PY, NumPy, and SciPy for enthusiasts /
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Mastering machine learning with Python in six stepsa practical Implementation guide to predictive data analytics using Python /
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Python machine learning case studiesfive case studies for the data scientist /
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MicroPython for the internet of thingsa beginner's guide to programming with Python on microcontrollers /
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Introduction to Python for engineers and scientistsopen source solutions for numerical computation /
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Practical machine learning with Pythona problem-solver's guide to building real-world intelligent systems /
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Simulating nonlinear circuits with Python power electronicsan open-source simulator, based on PythonTM /
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Practical Python AI projectsmathematical models of optimization problems with Google OR-tools /
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Deep learning with applications using Pythonchatbots and face, object, and speech recognition with TensorFlow and Keras /
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Advanced data analytics using Pythonwith machine learning, deep learning and NLP examples /
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Good habits for great codingimproving programming skills with examples in Python /
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Practical web scraping for data sciencebest practices and examples with Python /
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Deep learning for natural language processingcreating neural networks with Python /
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Pro machine learning algorithmsa hands-on approach to implementing algorithms in Python and R /
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Learn Raspberry Pi programming with Pythonlearn to program on the world's most popular tiny computer /
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Practical Docker with Pythonbuild, release and distribute your Python App with Docker /
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MySQL Connector/Python revealedSQL and NoSQL data storage using MySQL for Python programmers /
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Guide to programming for the digital humanitieslessons for introductory Python /
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Practical video game botsautomating game processes using C++, Python, and AutoIt /
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Multiple criteria decision aidmethods, examples and Python implementations /
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Applied natural language processing with Pythonimplementing machine learning and deep learning algorithms for natural language processing /
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Monetizing machine learningquickly turn Python ML ideas into web applications on the serverless cloud /
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Credit-risk modellingtheoretical foundations, diagnostic tools, practical examples, and numerical recipes in Python /
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Block trace analysis and storage system optimizationa practical approach with MATLAB/Python tools /
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Data analysis and visualization using Pythonanalyze data to create visualizations for BI systems /
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Natural language processing recipesunlocking text data with machine learning and deep learning using python /
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Practical machine learning and image processingfor facial recognition, object detection, and pattern recognition using Python /
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Machine learning applications using Pythoncases studies from healthcare, retail, and finance /
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Building chatbots with Pythonusing natural language processing and machine learning /
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Machine learning with PySparkwith natural language processing and recommender systems /
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Numerical Pythonscientific computing and data science applications with Numpy, SciPy and Matplotlib /
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Python continuous integration and deliverya concise guide with examples /
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Text analytics with Pythona practitioner's guide to natural language processing /
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Computational nuclear engineering and radiological science using python /
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Foundations of Libvirt developmenthow to set up and maintain a virtual machine environment with Python /
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Practical data science with Python 3synthesizing actionable insights from data /
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Practical cryptography in Pythonlearning correct cryptography by example /
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Python for the life sciencesa gentle introduction to python for life scientists /
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Advanced applied deep learningconvolutional neural networks and object detection /
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Mastering machine learning with Python in six stepsa practical implementation guide to predictive data analytics using Python /
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Beginning anomaly detection using Python-based deep learningwith Keras and PyTorch /
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Building Android apps in Python using Kivy with Android Studiowith Pyjnius, Plyer, and Buildozer /
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Sensor projects with Raspberry Piinternet of things and digital image processing /
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Data mining for business analytics :concepts, techniques and applications in Python /
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Practical time series analysis :prediction with statistics and machine learning /
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Complex network analysis in Python :recognize - construct - visualize - analyze - interpret /
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Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /
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Python projects for beginnersa ten-week bootcamp approach to Python programming /
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Hands-on Scikit-Learn for machine learning applicationsdata science fundamentals with Python /
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Game programming with Code Angellearn how to code in Python on Raspberry Pi or PC /
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Deep neuro-fuzzy systems with Pythonwith case studies and applications from the industry /
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Beginning game programming with Pygame Zerocoding interactive games on Raspberry Pi using Python /
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Hands on Google Cloud SQL and Cloud Spannerdeployment, administration and use cases with Python /
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Programming for computationsPython : a gentle introduction to numerical simulations with Python 3.6 /
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Thinking in Pandashow to use the Python data analysis library the right way /
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Ensemble learning for AI developerslearn bagging, stacking, and boosting methods with use cases /
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Advanced Python developmentusing powerful language features in real-world applications /
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Practical blockchains and cryptocurrenciesspeed up your application development process and develop distributed applications with confidence /
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Hands-on time series analysis with Pythonfrom basics to bleeding edge techniques /
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Machine learning concepts with Python and the Jupyter Notebook environmentusing Tensorflow 2.0 /
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Supervised learning with Pythonconcepts and practical implementation using Python /
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Applied reinforcement learning with Pythonwith OpenAI Gym, Tensorflow, and Keras /
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Learn PySparkbuild Python-based machine learning and deep learning models /
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Foundation dynamic web pages with Pythoncreate dynamic web pages with Django and Flask /
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Advanced analytics in power BI with R and Pythoningesting, transforming, visualizing /
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Digital filter design using Python for power engineering applicationsan open source guide /
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Machine learning in the oil and gas industryincluding geosciences, reservoir engineering, and production engineering with Python /
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Building versatile mobile apps with Python and RESTRESTful web services with Django and react /
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Practical Python programming for IoT :build advanced IoT projects using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3 /
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A Python data analyst's toolkit :learn Python and Python-based libraries with applications in data analysis and statistics /
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Computational frameworks for political and social research with Python /
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Practical Python data visualizationa fast track approach to learning data visualization with Python /
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Applied neural networks with TensorFlow 2API oriented deep learning with Python /
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Practical natural language processing with Pythonwith case studies from industries using text data at scale /
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Modern PyQtcreate GUI applications for project management, computer vision, and data analysis /
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Deploy machine learning models to productionwith Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform /
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Applied data science using Pysparklearn the end-to-end predictive model-building cycle /
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Ontologies with Pythonprogramming OWL 2. 0 ontologies with Python and Owlready2 /
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A Python data analyst's toolkitlearn Python and Python-based libraries with applications in data analysis and statistics /
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Introduction to machine learning in the cloud with Pythonconcepts and practices /
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Practical machine learning for streaming data with Pythondesign, develop, and validate online learning models /
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Deep learning with Pythonlearn best practices of deep learning models with PyTorch /
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Programming microcontrollers with Pythonexperience the power of embedded Python /
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Transactional machine learning with data streams and AutoMLbuild frictionless and elastic machine learning solutions with Apache Kafka in the cloud using Python /
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Analog circuit simulators for integrated circuit designersnumerical recipes in Python /
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Quantum machine learning with Pythonusing Cirq from Google Research and IBM Qiskit /
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Deep reinforcement learning with Pythonwith PyTorch, TensorFlow and OpenAI Gym /
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Python for finance cookbook :over 50 recipes for applying modern Python libraries to finance data analysis /
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Introduction to Python for kidsLearn Python the fun way by completing activities and solving puzzles /
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Data science with Raspberry Pireal-time applications using a localized cloud /
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Advanced forecasting with Pythonwith state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR /
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Introduction to deep learning for engineersusing python and google cloud platform /
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Statistical learning with math and Python100 exercises for building logic /
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Numerical Python in astronomy and astrophysicsa practical guide to astrophysical problem solving /
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Introduction to computational thinkingproblem solving, algorithms, data structures, and more /
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Foundation Db2 and Pythonaccess Db2 with module-based API examples using Python /
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Natural language processing recipesunlocking text data with machine learning and deep learning using Python /
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Basic Python for data management, finance, and marketingadvance your career by learning the most powerful analytical tool /
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Introduction to Python in earth science data analysisfrom descriptive statistics to machine learning /
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Optimizing Visual Studio Code for Python developmentdeveloping more efficient and effective programs in Python /
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Introduction to machine learning with Python :a guide for data scientists /
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An introduction to scientific computing with MATLAB and Python tutorials /
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Practical explainable AI using Pythonartificial intelligence model explanations using Python-based libraries, extensions, and frameworks /
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Data science solutions with Pythonfast and scalable models using Keras, Pyspark Mllib, H2O, XGBoost, and scikit-Learn /
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C and Python applicationsembedding Python code in C programs, SQL methods, and Python sockets /
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Machine learning with Pysparkwith natural language processing and recommender systems /
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Web app development and real-time web analytics with Pythondevelop and integrate machine learning algorithms into web apps /
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Practical Docker with Pythonbuild, release, and distribute your Python app with Docker /
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Python unit test automationautomate, organize, and execute unit tests in Python /
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Music representation and transformation in softwarestructure and algorithms in Python /
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Kernel methods for machine learning with Math and Python100 exercises for building logic /
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Python challenges100 proven programming tasks designed to prepare you for anything /
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Human-computer interaction in game development with Pythondesign and develop a game interface using HCI technologies and techniques /
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Algorithmic decision making with Python resourcesfrom multicriteria performance records to decision algorithms via bipolar-valued outranking digraphs /
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Hands-on machine learning with Pythonimplement neural network solutions with Scikit-learn and PyTorch /
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Python for MATLAB developmentextend MATLAB with 300,000+ modules from the Python package index /
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Adaptive machine learning algorithms with Pythonsolve data analytics and machine learning problems on edge devices /
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Applied deep learning with TensorFlow 2learn to implement advanced deep learning techniques with Python /
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Automated deep learning using neural network intelligencedevelop and design pytorch and tensorflow models using python /
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Productive and efficient data science with Pythonwith modularizing, memory profiles, and parallel/GPU processing /
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Data visualization for social and policy researcha step-by-step approach using R and Python /
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Machine learning on geographical data using Pythonintroduction into geodata with applications and use cases /
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Beginning MicroPython with the Raspberry Pi Picobuild electronics and IoT projects /
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Raspberry Pi image processing programmingwith NumPy, SciPy, Matplotlib and OpenCV /
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Simulation with Pythondevelop simulation and modeling in natural sciences, engineering, and social sciences /
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Web application development with Streamlitdevelop and deploy secure and scalable web applications to the cloud using a pure Python framework /
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Foundations of roboticsa multidisciplinary approach with Python and ROS /
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Data analysis with machine learning for psychologistscrash course to learn Python 3 and machine learning in 10 hours /
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The absolute beginner's guide to Python programminga step-by-step guide with examples and lab exercises /
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Secure web application developmenta hands-on guide with Python and Django /
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An introduction to statistics with Pythonwith applications in the life sciences /
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Finding ghosts in your dataanomaly detection techniques with examples in Python /
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Essentials of Excel VBA, Python, and R.Volume I, Financial statistics and portfolio analysis
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Physics with Excel and Pythonusing the same data structure.Volume I,Basics, exercises and tasks /
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Internet of things using single board computersprinciples of IoT and Python programming /
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An introduction to statistics with Python :with applications in the life sciences /
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Essentials of Excel VBA, Python, and R.Volume I,Financial statistics and portfolio analysis /
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Image analysis, classification and change detection in remote sensing :with algorithms for Python /
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Practical statistics for data scientists :50+ essential concepts using R and Python /
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Explainable AI recipesimplement solutions to model explainability and interpretability with Python /
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Learning genetic algorithms with Pythonempower the performance of machine learning and AI models with the capabilities of a powerful search algorithm /
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Python in-depthuse Python programming features, techniques, and modules to solve everyday problems /
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Hands-on supervised learning with Pythonlearn how to solve machine learning problems with supervised learning algorithms using Python /
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Machine learning for beginnerslearn to build machine learning systems using Python /
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Hands-on data analysis and visualization with pandasengineer, analyse and visualize data, using powerful Python libraries /
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Machine learning cookbook with Pythoncreate ML and data analytics projects using some amazing open datasets /
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Practical data science with Jupyterexplore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter /
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Advance core Python programmingbegin your journey to master the world of Python /
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Python data visualization essentials guidebecome a data visualization expert by building strong proficiency in Pandas, Matplotlib, Seaborn, Plotly, Numpy, and Bokeh /
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Applied machine learning solutions with Pythonproduction-ready ML projects using cutting-edge libraries and powerful statistical techniques /
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An introduction to Python programminga practical approach : using Python to solve complex problems with a burst of machine learning /
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A journey to core Pythonexperience the applications of tuples, dictionary, lists, operators, loops, indexing, slicing, and matrices /
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Test your skills in Pythonan interactive way to introduce the world of computer programming /
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Programming techniques using Pythonhave fun and play with basic and advanced core Python /
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Full stack development with MongoDBcovers backend, frontend, APIs, and mobile App development using PHP, NodeJS, ExpressJS, Python and react native /
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Enterprise automation with Pythonautomate Excel, web, documents, emails, and various workloads with easy-to-code Python scripts /
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Pandas in 7 daysutilize Python to manipulate data, conduct scientific computing, time series analysis, and exploratory data analysis /
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Network programming in pythonthe basic : a detailed guide to python 3 network programming and management /
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Essentials of Excel VBA, Python, and R.Volume II,Financial derivatives, risk management and machine learning
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Data-driven SEO with Pythonsolve SEO challenges with data science using Python /
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High-performance web apps with FastAPIthe asynchronous web framework based on modern Python /
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Practical business analytics using R and Pythonsolve business problems using a data-driven approach /
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Micro:bit projects with Python and single board computersbuilding steam projects with code club and kids' maker groups /
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Applied Recommender Systems with PythonBuild Recommender Systems with Deep Learning, NLP and Graph-Based Techniques /
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Advanced data analytics using Pythonwith architectural patterns, text and image classification, and optimization techniques /
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PyTorch recipesa problem-solution approach to build, train and deploy neural network models /
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Beginner's guide to Streamlit with Pythonbuild web-based data and machine learning applications /
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Time series algorithms recipesimplement machine learning and deep learning techniques with Python /
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Productionizing AIhow to deliver AI B2B solutions with Cloud and Python /
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Reinforcement learning for financesolve problems in finance with CNN and RNN using the tensorflow library /
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Introduction to prescriptive AIa primer for decision intelligence solutioning with Python /
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Dynamic system modelling and analysis with MATLAB and Pythonfor control engineers /
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Machine learning for earth sciencesusing Python to solve geological problems /
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Quantitative trading strategies using Pythontechnical analysis, statistical testing, and machine learning /
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The art of reinforcement learningfundamentals, mathematics, and implementations with Python /
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Computational mathematics :an introduction to numerical analysis and scientific computing with Python /
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