shamilnabiyev

from PIL import Image
import random

def paste_image(source_path, target_path, position=None):
    """
    Pastes a small source image onto a larger target image.

    Parameters:
    - source_path: Path to the small source image.
    - target_path: Path to the larger target image.

shamilnabiyev

# Microsoft Authentication Library (MSAL) for Python: pip install requests msal
import requests
import msal

## 1. Redirect User to Microsoft Login:

# Replace these variables with your actual values
client_id = "your_client_id"
client_secret = "your_client_secret"
authority = "https://login.microsoftonline.com/your_tenant_id"

shamilnabiyev

from pyspark.sql import SparkSession
from pyspark.sql.functions import col, when, regexp_extract, length, lpad

# Create a SparkSession
spark = SparkSession.builder.appName("TupleToDataFrame").getOrCreate()

# List of tuples
arr = [("a", "0a1x"), ("x", "3"), ("cc", "11"), ("h", "5")]

# Create a DataFrame

shamilnabiyev

import boto3
from datetime import datetime
from awsglue.context import GlueContext
from pyspark.context import SparkContext

# First, use boto3 to list and filter objects

def list_s3_files_after_date(bucket_name, prefix='', start_date=None):
    s3 = boto3.client('s3')

shamilnabiyev

import boto3
from awsglue.context import GlueContext
from pyspark.context import SparkContext
from awsglue.dynamicframe import DynamicFrame

def read_deleted_files_to_dynamicframe(bucket_name, prefix=''):
    # Initialize Glue context
    sc = SparkContext()
    glueContext = GlueContext(sc)
    

shamilnabiyev

# Print available disks (drives) and partitions
lsblk -o name,UUID,partuuid,mountpoint

# Assumption
## Windows OS bootloader is installed on /dev/nvme0n1
## Linux OS bootloader is installed on /dev/nvme1n1

# Add Windows bootloader entry
sudo efibootmgr -c -d /dev/nvme0n1 -p 1 -l \\EFI\\Microsoft\\Boot\\bootmgfw.efi -L "Windows Boot Manager"

shamilnabiyev

1. Run commands in Git Bash
   • env PIP_REQUIRE_VIRTUALENV=0 python -m pip install --user pipx
   • python -m pipx ensurepath --force
2. Open a new Git Bash terminal
   • pipx --version
3. If getting an error during the installation of packages using pipx
   • No Python at 'C:\Users\<username>\AppData\Local\Programs\Python\PythonX\python.exe'
   • Then remove the following folder
   • C:\Users\<username>\.local\pipx
4. If still having the same issue

shamilnabiyev

import json
import requests
import pandas as pd
from itertools import chain

def get_sbahn_list(product='suburban', operator='1'):
    """
    Get S-Bahn Line list from VBB Transport API

    S-Bahn: product=suburban

shamilnabiyev

# Credits: 
#   Author: Gabriel Cassimiro 
#   Blog post: https://towardsdatascience.com/transfer-learning-with-vgg16-and-keras-50ea161580b4
#   GitHub Repo: https://github.com/gabrielcassimiro17/object-detection
#
import tensorflow_datasets as tfds
from tensorflow.keras import layers, models
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.callbacks import EarlyStopping

shamilnabiyev

# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
# Hyperparameters for low-augmentation COCO training from scratch
# python train.py --batch 64 --cfg yolov5n6.yaml --weights '' --data coco.yaml --img 640 --epochs 300 --linear
# See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials

lr0: 0.01  # initial learning rate (SGD=1E-2, Adam=1E-3)
lrf: 0.01  # final OneCycleLR learning rate (lr0 * lrf)
momentum: 0.937  # SGD momentum/Adam beta1
weight_decay: 0.0005  # optimizer weight decay 5e-4
warmup_epochs: 3.0  # warmup epochs (fractions ok)