semvec/pypi-packages huggingface dataset:
NoomSmartKeyboard 1.0.0
Description of my package

# NoomSmartKeyboard

keyboard control game on python 

## Installation

Install my-project is

```bash
  pip install NoomSmartKeyboard 
```

## Use Code

Example

```bash
from NoomSmartKeyboard import press_key, release_key

# Now you can use these functions
press_key('n')  # Simulates pressing the 'n' key.
release_key('n')  # Simulates releasing the 'n' key.
press_key('o')  # Simulates pressing the 'n' key.
release_key('o')  # Simulates releasing the 'n' key.
press_key('o')  # Simulates pressing the 'n' key.
release_key('o')  # Simulates releasing the 'n' key.
press_key('m')  # Simulates pressing the 'n' key.
release_key('m')  # Simulates releasing the 'n' key.

#Output // noom


```
# Enjoy!!!
###  facebook : หนุ่ม ภูมิมินทร์
pyl3dmd 0.1.1
Python LAMMPS 3-Dimensional Molecular Dynamics/Descriptors
Keywords: Python,LAMMPS,Molecular Dynamics Simulations,Molecular Descriptors,Machine Learning,MD Simulations,3-Dimensional

PyL3dMD stands for Python LAMMPS 3-Dimensional Molecular Dynamics/Descriptors, a python package for 3D descriptors calculation
compare-dfs 0.0.6
A small example package
Requires Python: >=3.6

# compare_df
## 介绍
找出两个几乎相同的DataFrame的差异

## 安装
```bash
pip install compare_dfs
```

## 使用
```python
import pandas as pd
import compare_dfs as cpdfs

df1 = pd.DataFrame({
    "id": [1, 2, 3, 4, 5],
    "name": ["a", "b", "c", "d", "e"],
    "age1": [10, 20, 30, 40, 50],
})
df2 = pd.DataFrame({
    "id": [1, 2, 3, 4, 6],
    "name": ["a", "b", "f", "d", "e"],
    "age2": [10, 25, 30, 40, 50],
})

df1.set_index("id", inplace=True)
df2.set_index("id", inplace=True)

different_colnames = cpdfs.compare_colnames(df1, df2)
print(different_colnames)

print(cpdfs.compare(df1, df2, different_colnames, dfname_1="左表", dfname_2="右表"))
```
输出：
```
只在第一个表中的列名：{'age1'}
只在第二个表中的列名：{'age2'}
[('age1', 'age2')]
左表中有，右表中没有的索引：{5}
右表中有，左表中没有的索引：{6}
=====================================
   name_左表 name_右表
id                
3        c       f
=====================================
    age1  age2
id            
2     20    25
=====================================
[   name_左表 name_右表
id                
3        c       f,     age1  age2
id            
2     20    25]
```