分类 Technology 中的文章

Using requests and multiprocessing for multi-threaded brute-force cracking of default lnmp mysql password

2019年10月23日 | Technology

My blog used the lnmp program to build the web environment, but when I needed to use mysql, I found that the lnmp installation log file was missing and the mysql root password was forgotten. I remember that the lnmp was installed by pressing Enter all the way, and the default lnmp password is lnmp.org# plus 5 random numbers, with only 100,000 possibilities. In this case, brute-forcing 100,000 times will definitely find the password.……

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Deploying an SSH Honeypot with Docker to Record SSH Login Passwords

2019年10月21日 | Technology

This guide shows how to move the real SSH service to a new port and deploy a Docker-based SSH honeypot on port 22 to collect brute-force logs for defensive analysis.……

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10 Tips to Improve Your Python Data Analysis Skills

2019年7月8日 | Technology

This article collects 10 practical tips for Python data analysis and Jupyter Notebook workflows, including dataset profiling, interactive plotting, notebook magics, debugging, and a few time-saving shortcuts.……

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Serialization and Deserialization in Python

2019年7月1日 | Technology

This article explains the basics of Python serialization and deserialization with pickle, including file-based examples, dumps() and loads(), and one important safety warning for real-world use.……

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Python Data Visualization - The Post-2000 Gaokao Generation

2019年6月1日 | Technology

This tutorial uses Gaokao exam data to build bar charts, line charts, and a China map with Python, giving a practical starter workflow for charts and pyecharts.……

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Parallelism in One Line of Python Code

2019年6月1日 | Technology

This article shows how Python map combined with thread or process pools can make simple parallelism much lighter for everyday scripts, especially with multiprocessing.dummy for IO-bound work.……

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Longest Palindromic Substring Algorithm - Manacher

2019年3月28日 | Technology

This article explains Manacher’s algorithm for the longest palindromic substring problem, including the transformed string idea and the Len array that allow it to run in $O(n)$ time.……

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Finding Common Values in Two Python Lists

2019年3月8日 | Technology

This article compares several common ways to find shared values between two Python lists and explains which methods remove duplicates and which ones preserve list order.……

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Python Implementation of Classic Sorting Algorithms (1)

2019年1月29日 | Technology

This article introduces five classic sorting algorithms in Python, including bubble sort, selection sort, insertion sort, shell sort, and merge sort, with code examples and complexity-oriented explanations for beginners.……

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Faceswap Training Resource Acquisition and Processing

2019年1月23日 | Technology

Following the previous article, “Faceswap Deep Learning AI for Video Face Swapping Explained,” everyone has learned how to perform face replacement in videos using AI through model training.……

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Detailed Examples of Seaborn Plotting Kernel Density Curves

2019年1月20日 | Technology

In a frequency distribution histogram, when the sample size is sufficiently enlarged to its limit, and the bin width is infinitely shortened, the step-like broken line in the frequency histogram will evolve into a smooth curve. This curve is called the density distribution curve of the population.

This article walks through how to use Seaborn with the Iris dataset in Pandas to plot several common kinds of kernel density curves.

1. Basic Density Curve

    import seaborn as sns
    import pandas as pd
    sns.set(color_codes=True)
    sns.set_style("white")
    df = pd.read_csv('iris.csv')
    sns.kdeplot(df['sepal_width'])

‘Detailed Examples of Seaborn Plotting Kernel Density Curves’

To plot a kernel density curve using Seaborn, you only need to use kdeplot. Note that a density curve only requires one variable; here we choose the sepal_width column.

2. Density Curve with Shading

    import seaborn as sns
    import pandas as pd
    sns.set(color_codes=True)
    sns.set_style("white")
    df = pd.read_csv('iris.csv')
    sns.kdeplot(df['sepal_width'], fill=True)