The Python code and supporting material, including example data files, are
available as a single ZIP compressed archive. This must be uncompressed before
use and will extract into a folder (directory) called "PythonForBiology", inside
which the Python files, ending in ".py", and various sub-folders can be found.
This arrangement of files and folders will allow the Python code to run directly
from inside the uncompressed "PythonForBiology", i.e. the locations of any
modules or data files mentioned in the code (and book) are specified relative to
this location.
The "examples" sub-folder contains all of the data files that are used as
examples to support the Python code described in the book.
The "databases" sub-folder relates to Chapter 20 and contains SQL and Python
files sub-divided into sections to support both SQLite and MySQL database
implementations.
The "speedy" folder relates to Chapter 27 and contains code relevant to the
binding of fast functions written in the C or Cython languages, including any
files required for compilation.
Many of the book chapters have a corresponding Python file containing the
completed scripts and programs for that chapter. These files may be run directly
as Python to test the code they contain. Note that several of these files will
not work isolation, given that they import functionality from the others, which
are assumed to be in the same folder.
Chapters 1-4 and 10 do not have a corresponding Python file given that they only
discuss the code in terms of short or incomplete fragments.
2022-12-11 21:14:25
7.85MB
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来源于GitHub，代码中的bug修复过了，代码是比较实用的，收费是因为修复了bug，添加了需要用到的dll
2022-10-20 19:02:12
4.49MB
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https://blog.csdn.net/tujidi1csd/article/details/127408058 中所有图片的源文件。
使用draw.io画的。
2022-10-19 21:04:04
25KB
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matlab实战+基于长短期记忆网络(LSTM)的SP500的股价预测+数据分析+机器学习
下载资源可以获得：
1、lstm实现的sp500的股价预测的matlab代码文件
2、SP500历史数据
3、mat数据
2022-09-05 12:06:12
209KB
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matlab自相关代码仅供学术使用
它包含以下描述的图像去模糊算法的实现：
@inproceedings{pan2019phase,
title={Phase-only
image
based
kernel
estimation
for
single
image
blind
deblurring},
author={Pan,
Liyuan
and
Hartley,
Richard
and
Liu,
Miaomiao
and
Dai,
Yuchao},
booktitle={Proceedings
of
the
IEEE/CVF
Conference
on
Computer
Vision
and
Pattern
Recognition},
pages={6034--6043},
year={2019}
}
如何使用
这些代码已在具有Intel
Core
i7-4790
CPU和6
GB
RAM的ubuntu
14.04
LTS
64位版本的MATLAB
2015b（64位）中进行了测试。
打开包装。
运行“
main_uniform.m”。
用户指定的参数：
用户需要指定一些参数。
“
2022-08-26 13:58:45
26.89MB
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