concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses th
我来说两句 短评 ··· 热门 还没人写过短评呢 我要写书评 Learning Scientific Programming with Python的书评 ··· ( 全部0 条 ) 论坛 ··· 在这本书的论坛里发言 + 加入购书单 这本书的其他版本 ··· ( 全部2 ) Cambridge University Press (2020) 暂无评分 谁读这本书? ···...
Contemporary PhysicsLakshminarayanan, V., (2017). "Learning scientific programming with Python", by Christian Hill: Scope: textbook. Level: undergraduate, advanced undergraduate, postgraduate, early career researcher, researcher, teacher, specialist, scientist, engineers....
Why Is Python Important to Machine Learning?So, why must I learn Python if all I want is to develop my machine learning solutions?You don’t. But you will find your life much easier if you are competent with Python.Python is an amazing programming language. It is simple to read but ...
Why Is Python Important to Machine Learning?So, why must I learn Python if all I want is to develop my machine learning solutions?You don’t. But you will find your life much easier if you are competent with Python.Python is an amazing programming language. It is simple to read but ...
Congratulations! You've made it to all the way to the end of this book. You already know enough to do a lot of amazing things with Python, but now the real fun starts: it's time to explore on your own. Free Email Class "Python Tricks" Email Series ...
Data structures play a vital role in building AI applications, providing the foundational programming knowledge necessary for creating practical AI tools and extracting insights from various forms of data. NumPy, used for scientific computation, SciPy for advanced computation, and scikit-learn for data ...
Scikit-Learn or “sklearn“ is a free, open-source machine learning library for the Python programming language. It’s a simple yet efficient tool for data mining, Data analysis, and Machine Learning. It features various machine learning algorithms and also supports Python’s scientific and numer...
NumPyis a library designed for scientific computing using Python. It provides essential tools for handling large arrays and matrices, along with a comprehensive set of functions for performing operations on these arrays. NumPy's array object (ndarray) is central to the library's functionality. This...
As with the prior edition, there are new and updated *Programming Tips* that the illustrate effective Python modules and methods for scientific programming and machine learning. There are 445 run-able code blocks with corresponding outputs that have been tested for accuracy. Over 158 graphical ...