Here is a basic Python script to query Elasticsearch using the elasticsearch library. Very useful for data mining.

Here is a basic Python script to query Elasticsearch using the elasticsearch library:

from elasticsearch import Elasticsearch

# Connect to Elasticsearch cluster
es = Elasticsearch(["http://localhost:9200/"])

# Define query body
query_body = {
    "query": {
        "match_all": {}
    }
}

# Execute search
result = es.search(index="your_index_name", body=query_body)

# Extract search hits
hits = result["hits"]["hits"]

# Print results
for hit in hits:
    print(hit["_source"])

In this script, the elasticsearch library is imported, and a connection to an Elasticsearch cluster is established. Then, a query body is defined as a dictionary, which includes a match_all query. Finally, the search method is called on the es instance to execute the query, and the search hits are extracted from the result and printed.

Here is a basic Python script to query Active Directory using the “ldap3” library. Useful script code for authentication.

import ldap3

server = ldap3.Server("ldap://hostname:port/")
conn = ldap3.Connection(server, "CN=username,DC=domain,DC=com", "password")
conn.bind()

query = "(&(objectCategory=person)(objectClass=user)(cn=*))"
conn.search("DC=domain,DC=com", query, attributes=["cn", "mail", "memberOf"])

result = conn.response

for item in result:
    print(item["attributes"])

conn.unbind()

Replace the placeholders with the appropriate values for your Active Directory:

• “hostname” and “port” are the address and port of the Active Directory server
• “username” is the username of an account with permission to search the directory
• “password” is the password for the account
• “domain” is the domain name of your Active Directory
• “cn=*” can be modified to search for specific common names.

The “attributes” list in the conn.search() call can be modified to retrieve other properties of the users in the directory.

Here is a basic Python script to query a PostgreSQL database using the “psycopg2” library. Very useful for data mining.

import psycopg2

conn = psycopg2.connect(
    host="hostname",
    database="database_name",
    user="username",
    password="password"
)

cursor = conn.cursor()

query = "SELECT * FROM table_name"
cursor.execute(query)

result = cursor.fetchall()

for row in result:
    print(row)

conn.close()

Replace the placeholders with the appropriate values for your database:

• “hostname” is the address of the database server
• “database_name” is the name of the database you want to connect to
• “username” and “password” are the credentials used to access the database
• “table_name” is the name of the table you want to query.

You can modify the SELECT statement to retrieve specific columns or filter the data as desired.

Here is a basic Python script to query a SQL database using the “sqlite3” library. Very useful for data mining.

import sqlite3

conn = sqlite3.connect('database.db')
cursor = conn.cursor()

query = "SELECT * FROM table_name"
result = cursor.execute(query).fetchall()

for row in result:
    print(row)

conn.close()

Replace “database.db” with the name of your SQLite database file, and “table_name” with the name of the table you want to query. You can modify the SELECT statement to retrieve specific columns or filter the data as desired.

Here is an example of a Python script that uses the “pytube” library to download a YouTube video:

from pytube import YouTube

link = "https://www.youtube.com/watch?v=Nj6PFaDmp6c"
yt = YouTube(link)

#Download the video with the highest resolution
video = yt.get('mp4', '720p')

#Set the filename and download location
video.download("/path/to/save/video")

You can also download the audio-only version of a video by using the yt.streams.filter(only_audio=True) method, and then calling the download() method on the audio stream.

from pytube import YouTube

link = "https://www.youtube.com/watch?v=Nj6PFaDmp6c"
yt = YouTube(link)

# Download audio-only version
audio_stream = yt.streams.filter(only_audio=True).first()
audio_stream.download("/path/to/save/audio")

It is important to note that downloading videos from YouTube without permission from the video owner or without a valid reason is against YouTube’s terms of service and also it may be illegal depending on your country laws.

Here is an example Python script that downloads images from a given URL and saves them to a local directory:

import requests

def download_image(url, save_path):
    # Open the image URL
    response = requests.get(url)
    
    # Open the save path
    with open(save_path, 'wb') as f:
        # Write the image data to the save path
        f.write(response.content)

# Example usage
url = "https://images.unsplash.com/photo-1593642532857-b1ebc8e7c147"
save_path = "image.jpg"
download_image(url, save_path)

This script uses the requests library to make a GET request to the image URL, which returns the image data. It then opens a file at the specified save path, and writes the image data to it in binary mode. You can use a loop and a list of urls to download multiple images or use a function to pass the url and save_path as arguments. You can also customize this script to handle errors, such as if the URL is not valid or the image cannot be downloaded for some reason. You can also add file extensions to the save path depending on the type of image you are trying to download.

Here is an example of a Python script that replaces a specific text in multiple files:

import os
import glob

# specify the directory containing the files
directory = '/path/to/directory'

# specify the file extension
file_extension = '*.txt'

# specify the text to be replaced and the replacement text
old_text = 'old_text'
new_text = 'new_text'

# get a list of all the files in the directory with the specified extension
files = glob.glob(os.path.join(directory, file_extension))

# loop through the files
for file_path in files:
    # open the file and read its contents
    with open(file_path, 'r') as file:
        file_contents = file.read()
    
    # replace the text
    new_contents = file_contents.replace(old_text, new_text)
    
    # open the file again in write mode
    with open(file_path, 'w') as file:
        file.write(new_contents)

This script uses the glob library to find all the files with the specified extension in the specified directory, then loops through each file and replaces the old text with the new text. You can change the directory, file extension, old text, and new text to suit your needs. Also, as an alternative, you can use os.scandir() to loop through all the files in the directory, and then use the same logic to replace the text in each file.

Here is an example of a Python script that replaces a specific text in a file:

import os

# specify the file path
file_path = '/path/to/file.txt'

# specify the text to be replaced and the replacement text
old_text = 'old_text'
new_text = 'new_text'

# open the file and read its contents
with open(file_path, 'r') as file:
    file_contents = file.read()

# replace the text
new_contents = file_contents.replace(old_text, new_text)

# open the file again in write mode
with open(file_path, 'w') as file:
    file.write(new_contents)

This script opens the file at the specified path, reads its contents, replaces the old text with the new text, and writes the new contents back to the file. You can change the file path, old text, and new text to suit your needs. Also, you can use the glob library to find all the files with a specific extension, and then use the above script to replace the text in each file.