大葉大學圖書館 |

Works:	100 works in 90 publications in 90 languages

Titles

Numerical methods in engineering with Python / by: (Language materials, printed)

Pyomo - Optimization modeling in Python[electronic resource] / by: (Language materials, printed)

Python for bioinformatics[electronic resource] / by: (Language materials, printed)

Python testing cookbook[electronic resource] :over 70 simple but incredibly effective recipes for taking control of automated testing using powerful Python testing tools / by: (Language materials, printed)

Foundations of Python network programming[electronic resource] :the comprehensive guide to building network applications with Python / by: (Language materials, printed)

Python algorithms[electronic resource] :mastering basic algorithms in the python language / by: (Language materials, printed)

Violent python[electronic resource] :a cookbook for hackers, forensic analysts, penetration testers, and security engineers / by: (Language materials, printed)

Learn Raspberry Pi Programming with Python[electronic resource] / by: (Language materials, printed)

A primer on scientific programming with Python[electronic resource] / by: (Language materials, printed)

Beginning Python visualization[electronic resource] :crafting visual transformation scripts / by: (Language materials, printed)

Data structures and algorithms with Python[electronic resource] / by: (Language materials, printed)

Understanding network hacks[electronic resource] :attack and defense with Python / by: (Language materials, printed)

Python for signal processing[electronic resource] :featuring IPython notebooks / by: (Language materials, printed)

The Python quick syntax reference[electronic resource] / by: (Language materials, printed)

Python forensics[electronic resource] :a workbench for inventing and sharing digital forensic technology / by: (Language materials, printed)

An introduction to Python and computer programming[electronic resource] / by: (Language materials, printed)

Beginning Python games development[electronic resource] :with Pygame / by: (Language materials, printed)

Python data analytics[electronic resource] :data analysis and science using Pandas, matplotlib, and the Python programming language / by: (Language materials, printed)

Numerical Python[electronic resource] :a practical techniques approach for industry / by: (Language materials, printed)

Python For ArcGIS[electronic resource] / by: (Language materials, printed)

Numeric computation and statistical data analysis on the Java platform[electronic resource] / by: (Language materials, printed)

Python for probability, statistics, and machine learning[electronic resource] / by: (Language materials, printed)

Program arcade games[electronic resource] :with Python and Pygame / by: (Language materials, printed)

A functional start to computing with Python[electronic resource] / by: (Language materials, printed)

Statistics, data mining, and machine learning in astronomy[electronic resource] :a practical Python guide for the analysis of survey data / by: (Language materials, printed)

Derivatives analytics with Python[electronic resource] :data analysis, models, simulation, calibration and hedging / by: (Electronic resources)

Machine learning in Python[electronic resource] :essential techniques for predictive analysis / by: (Electronic resources)

Python projects[electronic resource] / by: (Electronic resources)

Programming for computations - Python[electronic resource] :a gentle introduction to numerical simulations with Python / by: (Electronic resources)

A primer on scientific programming with Python[electronic resource] / by: (Electronic resources)

Deep learning step by step with Python :a very gentle introduction to deep neural networks for practical data science / by: (Language materials, printed)

Learn to program with Python[electronic resource] / by: (Electronic resources)

Python machine learning :machine learning and deep learning with Python, scikit-learn, and TensorFlow / by: (Language materials, printed)

Artificial intelligence with Python :build real-world artificial intelligence applications with Python to intelligently interact with the world around you / by: (Language materials, printed)

The practice of computing using Python / by: (Language materials, printed)

Python for data analysis :data wrangling with Pandas, NumPy, and IPython / by: (Language materials, printed)

OpenCV with Python by example :build real-world computer vision applications and develop cool demos using OpenCV for Python / by: (Language materials, printed)

OpenCV computer vision with Python :learn to capture videos, manipulate images, and track objects with Python using the OpenCV Library / by: (Language materials, printed)

Deep learning with Python / by: (Language materials, printed)

Natural language processing with Python / by: (Language materials, printed)

Learning OpenCV 3 computer vision with Python :unleash the power of computer vision with Python using OpenCV / by: (Language materials, printed)

Neuronale Netze selbst programmieren :ein verständlicher Einstieg mit Python / by: (Language materials, printed)

Praxiseinstieg Deep Learning :mit Python, Caffe, TensorFlow und Spark eigene Deep-Learning-Anwendungen erstellen / by: (Language materials, printed)

Python data science handbook :essential tools for working with data / by: (Language materials, printed)

Learn to code :the beginner's guide to computer programming / by: (Language materials, printed)

Python recipes handbook[electronic resource] :a problem-solution approach / by: (Language materials, printed)

Lean Python[electronic resource] :learn just enough Python to build useful tools / by: (Language materials, printed)

Text analytics with Python[electronic resource] :a practical real-world approach to gaining actionable insights from your data / by: (Language materials, printed)

Programming with Python[electronic resource] / by: (Language materials, printed)

Solving PDEs in Python[electronic resource] :the FEniCS tutorial I / by: (Language materials, printed)

Comparative approaches to using R and Python for statistical data analysis[electronic resource] / by: (Language materials, printed)

Python for tweens and teens :learn computational and algorithmic thinking / by: (Language materials, printed)

Hands-on reinforcement learning with Python :master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow / by: (Language materials, printed)

Advanced deep learning with Keras :apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more / by: (Language materials, printed)

PyTorch deep learning hands-on :apply modern AI techniques with CNNs, RNNs, GANs, reinforcement learning, and more / by: (Language materials, printed)

Deep learning with PyTorch :a practical approach to building neural network models using PyTorch / by: (Language materials, printed)

Marketing data science :modeling techniques in predictive analytics with R and Python / by: (Language materials, printed)

Hands-on machine learning for algorithmic trading :design and implement investment strategies based on smart algorithms that learn from data using Python / by: (Language materials, printed)

Data science and analytics with Python[electronic resource] / by: (Electronic resources)

Image operators[electronic resource] :image processing in Python / by: (Electronic resources)

Introduction to computational models with Python[electronic resource] / by: (Electronic resources)

Introduction to Python programming[electronic resource] / by: (Electronic resources)

Python for bioinformatics[electronic resource] / by: (Electronic resources)

Understanding optics with Python[electronic resource] / by: (Electronic resources)

Learning scientific programming with Python[electronic resource] / by: (Electronic resources)

Python for scientists[electronic resource] / by: (Electronic resources)

3D image reconstruction for CT and PET[electronic resource] :a practical guide with Python / by: (Electronic resources)

A tour of data science[electronic resource] :learn R and Python in parallel / by: (Electronic resources)

Practical numerical and scientific computing with MATLAB and Python[electronic resource] / by: (Electronic resources)

Introduction to modeling and simulation with MATLAB and Python[electronic resource] / by: (Electronic resources)

Python for Linguists[electronic resource] / by: (Electronic resources)

Numerical methods in physics with Python[electronic resource] / by: (Electronic resources)

Computer simulation[electronic resource] :a foundational approach using Python / by: (Electronic resources)

Bite-size Python[electronic resource] :an introduction to Python programming / by: (Electronic resources)

Introduction to deep learning for engineers[electronic resource] :using python and google cloud platform / by: (Electronic resources)

Machine learning in biotechnology and life sciences :build machine learning models using Python and deploy them on the cloud / by: (Language materials, printed)

Advanced applications of Python data structures and algorithms[electronic resource] / by: (Electronic resources)

Text analysis with Python[electronic resource] :a research-oriented guide / by: (Electronic resources)

Bayesian modeling and computation in Python[electronic resource] / by: (Electronic resources)

Dynamic system modelling and analysis with MATLAB and Python[electronic resource] :for control engineers / by: (Electronic resources)

Learning genetic algorithms with Python[electronic resource] :empower the performance of machine learning and AI models with the capabilities of a powerful search algorithm / by: (Electronic resources)

Machine learning with Python[electronic resource] :an approach to applied machine learning / by: (Electronic resources)

Python made simple[electronic resource] :learn Python programming in easy steps with examples / by: (Electronic resources)

Python in-depth[electronic resource] :use Python programming features, techniques, and modules to solve everyday problems / by: (Electronic resources)

Hands-on supervised learning with Python[electronic resource] :learn how to solve machine learning problems with supervised learning algorithms using Python / by: (Electronic resources)

Machine learning for beginners[electronic resource] :learn to build machine learning systems using Python / by: (Electronic resources)

Hands-on data analysis and visualization with pandas[electronic resource] :engineer, analyse and visualize data, using powerful Python libraries / by: (Electronic resources)

Machine learning cookbook with Python[electronic resource] :create ML and data analytics projects using some amazing open datasets / by: (Electronic resources)

Practical data science with Jupyter[electronic resource] :explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter / by: (Electronic resources)

Advance core Python programming[electronic resource] :begin your journey to master the world of Python / by: (Electronic resources)

Python data visualization essentials guide[electronic resource] :become a data visualization expert by building strong proficiency in Pandas, Matplotlib, Seaborn, Plotly, Numpy, and Bokeh / by: (Electronic resources)

Applied machine learning solutions with Python[electronic resource] :production-ready ML projects using cutting-edge libraries and powerful statistical techniques / by: (Electronic resources)

An introduction to Python programming[electronic resource] :a practical approach : using Python to solve complex problems with a burst of machine learning / by: (Electronic resources)

A journey to core Python[electronic resource] :experience the applications of tuples, dictionary, lists, operators, loops, indexing, slicing, and matrices / by: (Electronic resources)

Test your skills in Python[electronic resource] :an interactive way to introduce the world of computer programming / by: (Electronic resources)

Programming techniques using Python[electronic resource] :have fun and play with basic and advanced core Python / by: (Electronic resources)

Full stack development with MongoDB[electronic resource] :covers backend, frontend, APIs, and mobile App development using PHP, NodeJS, ExpressJS, Python and react native / by: (Electronic resources)

Enterprise automation with Python[electronic resource] :automate Excel, web, documents, emails, and various workloads with easy-to-code Python scripts / by: (Electronic resources)

Pandas in 7 days[electronic resource] :utilize Python to manipulate data, conduct scientific computing, time series analysis, and exploratory data analysis / by: (Electronic resources)

Network programming in python[electronic resource] :the basic : a detailed guide to python 3 network programming and management / by: (Electronic resources)

Python (Computer program language)