Author:kevinelstri
DateTime:2017/3/14
From:http://www.scipy-lectures.org/
关于科学Python系统的教程:快速介绍重要工具和技术。不同的章节对应一个1到2小时的课程来增加专业水平,从初学者到专家。
- 1. Getting started with Python for science
- 1.1. Python scientific computing ecosystem
- 1.2. The Python language
- 1.3. NumPy: creating and manipulating numerical data
- 1.4. Matplotlib: plotting
- 1.5. Scipy : high-level scientific computing
- 1.6. Getting help and finding documentation
- 2. Advanced topics
- 2.1. Advanced Python Constructs
- 2.2. Advanced NumPy
- 2.3. Debugging code
- 2.4. Optimizing code
- 2.5. Sparse Matrices in SciPy
- 2.6. Image manipulation and processing using Numpy and Scipy
- 2.7. Mathematical optimization: finding minima of functions
- 2.8. Interfacing with C
- 3. Packages and applications
- 3.1. Statistics in Python
- 3.2. Sympy : Symbolic Mathematics in Python
- 3.3. Scikit-image: image processing
- 3.4. Traits: building interactive dialogs
- 3.5. 3D plotting with Mayavi
- 3.6. scikit-learn: machine learning in Python
持续更新。。。