semvec/pypi-packages huggingface dataset:
dorkify 3.1
A Python library for scraping the Google search engine.
Requires Python: >=3.6

[***pypi***](https://pypi.org/project/dorkify)

# Banner

<img src="https://cdn.discordapp.com/attachments/942412994736963614/942551697404874762/unknown.png">

# dorkify
dorkify is a Python library for searching Google, easily. dorkify uses requests and BeautifulSoup4 to scrape Google. 

## Installation
To install, run the following command:
```bash
python3 -m pip install dorkify
```

## usage
To get results for a search term, simply use the search function in dorkify. For example, to get results for "Google" in Google, just run the following program:
```python
from dorkify import search
search("Google")
```

## Additional options
dorkify supports a few additional options. By default, dorkify returns 10 results. This can be changed. To get a 100 results on Google for example, run the following program.
```python
from dorkify import search
search("exploit-db", num_results=100)
```
In addition, you can change the language google searches in. For example, to get results in French run the following program:
```python
from dorkify import search
search("exploit-db", lang="en")
```
## dorkify.search
```python
dorkify.search(str: term, int: num_results=10, str: lang="en") -> list
```
## In the new version of dorkify you can search on a specified site:

```python
from dorkify import search

search("site:exploit-db.com "gmail"")
ran-eda 0.0.2
EDA & Univariate Analysis


# ran_eda
With This Library  You can do the EDA(Exploroty data analysis)



## version
0.0.1
## Authors

- [@RANJIT_MAITY](https://www.linkedin.com/in/ranjit-maity-75204a131/)


## Reales Date 
 13-02-2022
 
 


## Badges

[![MIT License](https://img.shields.io/apm/l/atomic-design-ui.svg?)](https://github.com/tterb/atomic-design-ui/blob/master/LICENSEs)
[![GPLv3 License](https://img.shields.io/badge/License-GPL%20v3-yellow.svg)](https://opensource.org/licenses/)
[![AGPL License](https://img.shields.io/badge/license-AGPL-blue.svg)](http://www.gnu.org/licenses/agpl-3.0)


## ðŸš€ About Me
I Am Ranjit From INDIA, a Certified Data scientist , Data Engineer by professional  with hands-on experience of more than 1year and 2months ,on ML> NLP> Data mining > Neural Networks > ModeL Deployment>ETL.
 Give me raw data and I'll return you insights, problems to be rectified and enhancements to achieve the target. I am always on the lookout for new projects to work And 
Am Always Happy â˜» To Play With Data


## ðŸ”— Links

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/ranjit-maity-75204a131/)
[![twitter](https://img.shields.io/badge/twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://twitter.com/ranjitmaity95)


## Demo

- YOU HAVE TO CALL THE EDA finction and pass your DATAFRANE(DF).
    cool SEAT BACK RELAX.




## Usage/Examples

```python
! pip install ran_eda
```
```python
import ran_eda as rn
```
```python
result=rn.EDA(df)
#Your Dataframe
#It will return a Dataframe 

```
```python
result
#to look to the result dataframe

```
ART-Recon 0.0.1
Advance Recon Tool


# ART
# About
- Advance Recon Tool is a tool custom build to automate the process of reconnaisance while doing bug hunitng on a target.
- It uses various other tools such as assetfinder, waybackurls, gau and arjun, so that you don't need to run them seperately.

![image](https://user-images.githubusercontent.com/63356733/152228041-cdf26d02-60b4-4cb5-879e-c8253ea781cc.png)

# Pre-Requisites 

- Python3 (3.9.9 preferred)
- Golang version >=1.16
- Installation - 
```
pip install ART-Recon
```

# Running the code

```
art -d url -h
```

# Contact 

- If you have any suggestion/advice/problem **Contact** : [Instagram](https://instagram.com/hackersarena0)
artmation 0.0.1
Advance Recon Tool


# ART
# About
- Advance Recon Tool is a tool custom build to automate the process of reconnaisance while doing bug hunitng on a target.
- It uses various other tools such as assetfinder, waybackurls, gau and arjun, so that you don't need to run them seperately.

![image](https://user-images.githubusercontent.com/63356733/152228041-cdf26d02-60b4-4cb5-879e-c8253ea781cc.png)

# Pre-Requisites 

- Python3 (3.9.9 preferred)
- Golang version >=1.16
- Installation - 
```
pip install ART-Recon
```

# Running the code

```
art -d url -h
```

# Contact 

- If you have any suggestion/advice/problem **Contact** : [Instagram](https://instagram.com/hackersarena0)