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![Sure, here is the corrected and grouped text from the image:
---
**PHP CHEAT SHEET**
**NAMING CONVENTIONS**
- **Variables:** `$variableName`
- **Constants:** `CONSTANT_NAME`
- **Functions:** `functionName()`
- **Classes:** `ClassName`
- **Methods:** `methodName()`
- **Arrays:** `$arrayName[]`
- **Associative Arrays:** `$arrayName['key']`
- **Objects:** `$objectName->property`
**NUMBERS**
- **Addition:** `$a + $b`
- **Subtraction:** `$a - $b`
- **Multiplication:** `$a * $b`
- **Division:** `$a / $b`
- **Modulus:** `$a % $b`
- **Increment:** `$a++`
- **Decrement:** `$a--`
- **Exponentiation:** `$a ** $b`
- **Absolute Value:** `abs($a)`
- **Round:** `round($a)`
- **Floor:** `floor($a)`
- **Ceiling:** `ceil($a)`
- **Random Number:** `rand($min, $max)`
**ARRAY FUNCTIONS**
- **Create Array:** `$array = array();`](https://pisces.bbystatic.com/image2/BestBuy_US/images/products/5d93f4c4-2b14-44a2-ae86-095a38441a05.jpg;maxHeight=427;maxWidth=640?format=webp)
![Sure, here is the corrected and grouped text from the image:
---
**REGULAR EXPRESSIONS CHEAT SHEET**
**ANORNS**
- br
- CHAUN REGULAR
- Cen
- enafum
- Ceo
- GLABAS
- vhia
- Arate
- Y Bgn
- EXPRESSIONS
- Jeve
- WUANTHORS
- H lueet
- POAIK
- Nadoe
- H [Bee]
- det
- a
- Nm
- j
- Goen
- A Zwo!
- Jr
- COMMON
- Craat
- Madeinalap
- jamon
- AS
- dind
- M
- JPT
- d
- SECAN
- CHEAT
- METROHARACTIRS
- h
- -noor
- SEGUENCES
- b
- ine
- Jrank
- Andatoe
- Aeaddmarphe
- alus
- SHEET
- Jout
- a
- Jwwe
- Spece
- deadtes
- an
- SPECIAL
- vitunaien](https://pisces.bbystatic.com/image2/BestBuy_US/images/products/3bcf910b-5bea-4e4d-b6d3-e294680ac016.jpg;maxHeight=427;maxWidth=640?format=webp)
![Sure, here is the corrected and grouped text from the image:
---
**PANDAS CHEAT SHEET**
**GETTING STARTED**
- Import pandas:
```python
import pandas as pd
```
- Create a DataFrame:
```python
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
```
- Read data from a CSV file:
```python
df = pd.read_csv('file.csv')
```
- Write data to a CSV file:
```python
df.to_csv('file.csv')
```
**SELECTING ROW AND COLUMNS**
- Select a single column:
```python
df['A']
```
- Select multiple columns:
```python
df[['A', 'B']]
```
- Select a single row:
```python
df.loc[0]
```
- Select multiple rows:
```python
df.loc[[0, 1]]
```
- Select a range of rows:
```python
df.loc[0:2]
```
- Select a range of columns:
```python
df](https://pisces.bbystatic.com/image2/BestBuy_US/images/products/286368d4-b57b-4649-abbd-bbed6270d144.jpg;maxHeight=427;maxWidth=640?format=webp)
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