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How to Use Tongji University Public Mirror for CentOS

2019年12月8日 | Technology
A few days ago on WeChat, I discovered that Tongji University actually has its own open source software mirror site. Our lab servers are still using Alibaba Cloud’s CentOS 7 mirror. Wouldn’t it be much faster if we switched to the university’s mirror? So how to change CentOS 7 public repo to Tongji University’s mirror?……

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Solving Expert-Level Sudoku Puzzles Quickly Using Python's Backtracking Algorithm

2019年11月11日 | Technology
I often play Sudoku in my leisure time as a form of relaxation. My usual method involves eliminating duplicates and filling in unique numbers first, then proceeding step by step. However, it’s inevitable to guess numbers and adjust based on feedback. So, is there a better algorithm to solve Sudoku puzzles? Here, I will use the backtracking method in Python to solve 9x9 expert-level Sudoku puzzles.……

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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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10 Tips to Improve Your Python Data Analysis Skills

2019年7月8日 | Technology

In programming, even small tips or tools can make a big difference.
For example, a shortcut key or a helpful package might simplify a lot of work and double your efficiency.
Here I’ll share a few small tricks I often use.

1. Use pandas_profiling to Inspect DataFrames

Understanding your data is essential before doing any analysis.
Although df.describe() and df.info() provide basic summaries, they’re limited with large or complex datasets.
The pandas_profiling library offers detailed profiling through profile_report().

pandas_profile

Installation

pip install pandas-profiling
# or
conda install -c anaconda pandas-profiling

Usage

It’s very easy to use:

import pandas as pd
import pandas_profiling

df = pd.read_csv("train.csv")
df.profile_report()

titanic

You can also export the report to HTML:

html = df.profile_report(title='Titanic Profiling Report')
html.to_file(outputfile="titanic_Profiling_Report.html")

titanic_html

2. Interactive Plotting with cufflinks

Pandas has built-in plotting via .plot(), but it’s not interactive.
If you want interactivity, try the cufflinks package.

……

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