用于平衡（简单）化学方程式。例如，方程输入的形式应为分子+分子->分子+分子，H2O+CO2->C6H12O6+O2。我尝试将其作为一个项目（学习编程作为一种爱好），因此它效率低下，并且可能不适用于某些等式（例如一些包含括号的术语）。
For balancing (simple) chemical equations. The equation input should be in the form molecule + molecule -> molecule + molecule, H2O + CO2 -> C6H12O6 + O2 for example. I attempted this as a project (learning programming as a hobby), so it is inefficient and might not work for some equations (such as some terms containing brackets). (2024-03-13, Python, 0KB, 下载0次)
开发了一个lexer，利用子集构造算法和Thompson算法来预处理正则表达式（regex），同时应用形式语言、自动机和面向对象编程（OOP）的原理。
Developed a lexer, leveraging the Subset Construction Algorithm and the Thompson Algorithm for preprocessing regular expressions (regexes), while applying principles of Formal Languages and Automata and Object-Oriented Programming (OOP). (2024-03-04, Python, 0KB, 下载0次)
该存储库包含伯南布哥卡特里卡大学数字图像处理课程的课堂活动，是计算机科学课程的一部分。该类涵盖与数字图像处理相关的主题，包括过滤器、几何变换、算术变换、使用Python编程语言等。
This repository contains the class activities for the Digital Image Processing class at Universidade Católica de Pernambuco is part of the Computer Science course. The class covers topics related to digital image processing, including Filters, Geometric Transformations, Arithmetic Transformations, using the Python programming language and more. (2024-02-29, Python, 0KB, 下载0次)
WhatsApp聊天分析器是使用python编程构建的应用程序，可以分析每个用户以及整个组的所有聊天数据。分析包括分析使用的表情符号、最忙用户、每月和每日时间线、总消息、共享的总链接等。
A WhatsApp Chat analyzer is an application program build using python programming that can analyze all of your chatting data for each single user as well as for overall group. Analysis includes analyzing emojis used, most busy user, monthly and daily time line, total massages, total link shared etc etc. (2024-02-09, Python, 0KB, 下载0次)
这是我在斯温伯恩大学的第一个学期完成的第一个完整的编程项目。我的灵感来自Spotify，有几个扩展符合我的偏好。这个项目让我得到了95 100分，这学期最好的项目之一。
This is my very-first complete programming project that I did in my first semester at Swinburne University. I made it with inspirations from Spotify, with a couple of extensions matching my preferences. This project got me 95 100, one of the best projects at this semester. (2023-12-21, Python, 0KB, 下载0次)
Python是一种通用且用户友好的编程语言，在简单性和可读性方面表现出色，使其成为从脚本和自动化到web开发和数据分析的广泛应用程序的最佳选择。其广泛的标准库和活跃的社区支持进一步增强了其功能，并使其成为受欢迎的
Python is a versatile and user-friendly programming language that excels in simplicity and readability, making it an excellent choice for a wide range of applications, from scripting and automation to web development and data analysis. Its extensive standard library and active community support further enhance its capabilities and make it a popular (2023-09-08, Python, 0KB, 下载0次)
PythonPark,Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
Python Park, "Self learning Programming Road" of Python open source project, nanny level course: AI laboratory, treasure video, data structure, learning guide, machine learning practice, deep learning practice, web crawler, big factory experience, program life, resource sharing. (2023-03-16, Python, 1515KB, 下载0次)
investopedia_simulator_api，一个用于investopedia股票模拟游戏的简单Python api。这以编程方式登录到Investopedia，并且可以重新，
A simple Python API for Investopedia s stock simulator games. This
programmatically logs into Investopedia and can retrieve portfolio summary,
get stock quotes & option chain lookups, execute trades - buy & sell shares,
puts, calls, sell short, etc.
, (2022-12-08, Python, 22KB, 下载0次)
该课程侧重于Python和最流行、最有用的数据科学库的基本编程技能。参与者将能够通过解析收集数据，使用Pandas和SQL预处理数据，并使用机器学习算法构建管道。
The piscine focuses on basic programming skills with Python and the most
popular and useful data science libraries. The participants will be able to
collect data with parsing, preprocess data using Pandas and SQL and build
pipelines with machine learning algorithms.
, (2021-09-21, Python, 17421KB, 下载0次)
在这个存储库中，基于QuantStart文章实现了一个事件驱动的backtester。backtester是用Python编程的，在编码结构、数据处理和简单的交易策略方面有许多改进。
In this repository, an event-driven backtester is implemented based on
QuantStart articles. The backtester is programmed in Python featuring numerous
improvements, in terms of coding structure, data handling, and simple trading
strategies.
, (2021-05-03, Python, 183KB, 下载0次)
该项目根据Dicom文件格式的一组图像对圆柱形沥青混合料样本进行3D重建。沥青混合料的成分将通过三相分割进行识别。此外，还开发了沥青混合料三维重建模型。该项目是在Python编程语言上实现的...
This project performs a 3D reconstruction of a cylindrical asphalt mixture sample from a set images on a Dicom file format. The components of asphalt mixture will be identified through 3-phase segmentation. Additionally, a 3D model of the asphalt mixture reconstruction was developed. The project was implemented on the Python programming (2017-12-12, Python, 70KB, 下载0次)
SAnDReS（对接结果和评分函数的统计分析）是一个自由开源的（GNU通用公共许可证）计算环境，用于开发用于预测配体结合亲和力的机器学习模型。我们使用Python编程语言开发了SAnDReS，以及SciPy、NumPy、scikit-learn和Matplotl...
SAnDReS (Statistical Analysis of Docking Results and Scoring functions) is a free and open-source (GNU General Public License) computational environment for the development of machine-learning models for the prediction of ligand- binding affinity. We developed SAnDReS using Python programming language, and SciPy, NumPy, scikit-learn, and (2023-03-16, Python, 68524KB, 下载0次)
什么是Python Executive Summary Python是一种具有动态语义的解释型、面向对象的高级编程语言。它的高级内置数据结构，与动态类型和动态绑定相结合，使其对快速应用程序开发非常有吸引力，也可以用作脚本或粘合语言来连接外部应用程序...
What is Python? Executive Summary Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect (2023-02-15, Python, 208KB, 下载0次)
本文档旨在帮助那些具有机器学习基本知识的人获得模型学习方面，类似于谷歌c++风格指南和其他流行实用指南编程。如果你上过机器学习的课，或者做过机器学习模型，然后您就有了阅读此文档所需的背景知识。
This document is intended to help those with a basic knowledge of machine learning get the
benefit of best practices in machine learning from around Google. It presents a style for machine
learning, similar to the Google C++ Style Guide and other popular guides to practical
programming. If you have taken a class in machine learning, or built or worked on a
machinelearned
model, then you have the necessary background to read this document. (2019-04-19, Python, 399KB, 下载0次)
自然语言处理一般是在本科或研究生层次的高年级开设的为期一个学期的课程。很多教
师都发现，在如此短的时间里涵盖理论和实践两个方面是十分困难的。有些课程注重理论而
排挤实践练习，剥夺了学生编写程序自动处理语言带来的挑战和兴奋感。另一些课程仅仅教
授语言学编程而不包含任何重要的NLP 内容。最初开发NLTK 就是为了解决这个问题，使
在一个学期里同时教授大量理论和实践成为可能，无论学生事先有没有编程经验。
算法和数据结构在所有NLP 教学大纲中都十分重要。它们本身可能非常枯燥，而NLT
K 提供的交互式图形用户界面能一步一步看到算法过程，使它们变得鲜活。大多说NLTK
组件都有一个无需用户输入任何数据就能执行有趣的任务的示范性例子。
Natural Language Processing (NLP) is a one-semester course offered in senior grades at undergraduate or graduate levels. Many teaching
Teachers have found it very difficult to cover both theoretical and practical aspects in such a short period of time. Some courses focus on theory.
Crowding out practical exercises deprives students of the challenge and excitement of writing programs to deal with language automatically. Other courses are taught only
Teaching Linguistic Programming without any significant NLP content. (2018-12-10, Python, 3867KB, 下载8次)
基于Opencv库，使用python编程实现调用摄像头并实现动态目标的检测，对背景相减法和帧间差分法都进行了实验和对比，稳定性好，可直接运行。
Based on the Opencv library, the python program is used to realize the call camera and realize the dynamic target detection. The stability is good, and it can run directly. (2018-06-12, Python, 2KB, 下载25次)
零起点Python大数据与量化交易
本书是国内较早关于Python大数据与量化交易的原创图书， 配合
zwPython开发平台和zwQuant开源量化软件学习， 是一套完整的大数据
分析、 量化交易的学习教材， 可直接用于实盘交易。 本书有三大特色：
第一， 以实盘个案分析为主， 全程配有Python代码； 第二， 包含大量的
图文案例和Python源码， 无须专业编程基础， 懂Excel即可开始学习； 第
三， 配有专业的zwPython集成开发平台、 zwQuant量化软件和zwDat数
据包
This book is an earlier book on Python big data and quantified trading in China.
ZwPython development platform and zwQuant open source quantitative software learning is a complete set of big data.
Analyzing and quantifying the learning materials for trading can be directly used for firm trading. This book has three major features:
First, it is mainly based on case analysis, with Python code in the whole process.
Second, it contains a large number of cases. Picture and text case and Python source code, without professional programming foundation, understand Excel can start learning;
Third, equipped with professional zwPython integrated development platform, zwQuant quantization software and zwDat number. (2018-05-15, Python, 17263KB, 下载23次)