Python file reading and writing operation teaching ideas

say it up front Python file read and write operations are introduced in the Zhejiang Education Edition textbook by way of extended links, which is not the focus of the exam; however, file operations are an important part of programming, and related codes appear many times in the textbook; the 2022 exam paper The 12th question focuses on the reading and writing operations of text files; the fourth chapter, "Data Processing and Application", requires mastering the reading and writing operations of CSV and Excel files....

August 26, 2022

Python interacts with database MySQL

1. Project Background 本项目主要是通过SQL注入案例来让大家了解如何防范SQL攻击,希望对大家有所帮助 2. Implementation process 》》创建数据表》》插入数据》》SQL注入》》分析原因 mysql> use gzh;Database changedmysql> create table t_user( -> username varchar(120), -> password varchar(200)) -> engine=innodb default charset=utf8;Query OK, 0 rows affected, 1 warning (0.13 sec)mysql> insert into t_user(username,password) values('Tom','1234acd'),('Alice','opqw362');Query OK, 2 rows affected (0.04 sec)Records: 2 Duplicates: 0 Warnings: 0mysql> select * from t_user;+----------+----------+| username | password |+----------+----------+| Tom | 1234acd || Alice | opqw362 |+----------+----------+2 rows in set (0.00 sec)注:数据库中总共有两条数据。 》》SQL注入import mysql....

August 26, 2022

Python introductory series (ten) one learn python file processing

file handling The key function for working with files in Python is the open() function. There are four different ways (modes) to open a file "r" - read - default value. Open a file for reading, or error if the file does not exist. "a" - Append - opens a file for appending, creating the file if it does not exist "w" - write - open a file for writing, create the file if it doesn't exist...

August 26, 2022

python list flip tutorial

Today I teach students, we often use the list in python to flip, so how to reverse it? The common ones are as follows: list(original) = [0,1,2,3,4,5] After inversion----------------------------------------------- -------------- list(flip) = [5,4,3,2,1,0] Isn't it simple? upside down Why do you want to wash your hair upside down? Think of a way, put the head on the tail, put the tail on the head, and that's it The effect of the idea is as above....

August 26, 2022

Python processing PDF - installation and use of PyMuPDF!

01 Introduction to PyMuPDF 1 Introduction Before introducing PyMuPDF , let's take a look at MuPDF . It can be seen from the naming form that PyMuPDF is the Python interface form of MuPDF . MuPDF MuPDF is a lightweight PDF, XPS and eBook viewer. MuPDF consists of software libraries, command-line tools, and viewers for various platforms. The renderer in MuPDF is tailored for high quality antialiased graphics. It renders text with measurements and spacing accurate to within a fraction of a pixel for maximum fidelity when reproducing the appearance of a printed page on screen....

August 26, 2022

Python Quest: entertaining and learning, and improving computational thinking at the bottom!

For students who have a certain foundation in graphical programming, or who have strong logical thinking , love to use their brains, and want to challenge code programming, Python is undoubtedly the best choice. Compared with other code programming languages, Python has a low threshold, easy to use , and is suitable for entry ; Python code specification, can hone children's patience and thinking rigor. Using Python programming, you can solve many problems in life, let children apply what they have learned, learn fun, learn a sense of achievement, and improve computational thinking at the bottom invisible!...

August 26, 2022

Python solves the XOR problem

Nonlinear relationship to solve XOR problem This article explains the use of non-linear neural networks to solve the XOR problem, the method of parameter initialization, and the reason for using crossEntropy instead of MSE in classification problems. First, the normal solution to the XOR relationship import numpy as np import matplotlib.pyplot as plt x_data = np.array([[1,0,0], [1,0,1], [1,1,0], [1,1,1]]) y_data = np.array([[0], [1], [1], [0]]) # Initialize the weight, the value range is -1~1...

August 26, 2022

Python: Jaccard similarity and distance

👇 Lianxh Club Tweet Navigation | www.lianxh.cn 🍎 Stata: Stata Basics | Stata Drawing | Stata Programs | Stata New Commands 📘 Papers: data processing | result output | paper writing | data sharing 💹 Metrics: Regression Analysis | Intersection-Conditioning | IV-GMM | Time Series | Panel Data | Spatial Metrics | Probit-Logit | Quantile Regression ⛳ Topic: SFA-DEA | Survival Analysis | Crawler | Machine Learning | Text Analysis 🔃 Causality: DID | RDD | Causal Inference | Synthetic Control Method | PSM-Matching 🔨 Tools: Tools | Markdown | Python-R-Stata 🎧 Course: Open Class-Live | Metrology Topics | About Lianxianghui Lianxianghui 2022 Special Topic on Spatial Measurement...

August 26, 2022

Python:扫雷(二)

Python 扫雷(二) Hello world 哈喽,小伙伴们大家好,随着越来越多的家长对编程越来越重视,随着高科技产品越来越多,人们开始重视编程语言了。今天Sampson就更新做扫雷小游戏的第二步“生成雷区棋盘”,那么还是老规矩,咱们先看下视频~ 扫雷(二)视频 已关注 关注 重播 分享 赞 关闭 观看更多 更多 正在加载 正在加载 退出全屏 切换到竖屏全屏退出全屏 玩转LEGO已关注 分享点赞在看 已同步到看一看写下你的评论 分享视频 ,时长01:41 0/0 00:00/01:41 切换到横屏模式 继续播放 进度条,百分之0 播放 00:00 / 01:41 01:41 全屏 倍速播放中 0.5倍 0.75倍 1.0倍 1.5倍 2.0倍 超清 高清 流畅 您的浏览器不支持 video 标签 继续观看 Python:扫雷(二) 观看更多 原创 , Python:扫雷(二) 玩转LEGO已关注 分享点赞在看 已同步到看一看写下你的评论 视频详情 定义雷区 首先我们要生成可以覆盖整个雷区的方块实例,并在里面埋雷,那么在图片中,第一部分就是我们要生成棋盘的列表,没有地雷,每一个方块是一个mine()的实例,第二部分我们要在总共生成的方块中去随机选取“做雷”,这个是与我们初始设置的参数一样~ 我们用random.sample(s,n)方法,可以在一个序列中随机选择指定个数的不重复数据,第一个参数是序列,第二个是个数。 然后随机生成了雷的编号后,我们把对应的方块value属性值改成1,用来表示埋雷~ 刷新屏幕 我们把刚才生成的格子方块展现在屏幕上方,并套在循环里面,使其不断地更新。 ‍效果图 这就是咱们编辑完上述代码的运行效果,在原有框架的基础上,我们更新出了要点击的格子,下期Sampson将会更新扫雷游戏的“信息与控制台”感谢关注~ END 扫码关注我吧 玩转LOGO 懂审美跟艺术的人,最有前途

August 26, 2022

Quick Start Python Machine Learning (33)

Surprise at the end 1 2.6 Neural Network Regression Algorithm 12.6.1 Classes, Parameters, Properties, and Methods kind class sklearn.neural_network.MLPRegressor(hidden_layer_sizes=100, activation='relu', *, solver='adam', alpha=0.0001, batch_size='auto', learning_rate='constant', learning_rate_init=0.001, power_t=0.5, max_iter=200, shuffle=True, random_state=None, tol=0.0001, verbose=False, warm_start=False, momentum=0.9, nesterovs_momentum=True, early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-08, n_iter_no_change=10, max_fun=15000) parameter parameter explain hidden_layer_sizes tuple, length = n_layers - 2, default=(100,) The ith element represents the number of neurons in the ith hidden layer. activation {'identity', 'logistic', 'tanh', 'relu'}, default='relu' Activation function for the hidden layer....

August 26, 2022