Mastering Advanced Git Workflows for Professional Developers

Let’s add functionality to respond to basic tasks like saying the time, performing web searches, or opening apps.

import datetime
import pywhatkit

def process_command(command):
    if "time" in command:
        now = datetime.datetime.now().strftime("%H:%M")
        speak(f"The time is {now}")
    elif "search for" in command:
        query = command.replace("search for", "").strip()
        speak(f"Searching for {query}")
        pywhatkit.search(query)
    elif "play" in command:
        song = command.replace("play", "").strip()
        speak(f"Playing {song}")
        pywhatkit.playonyt(song)
    else:
        speak("I'm sorry, I can't perform that task yet.")

• Improved Software Quality:

Automated testing and continuous monitoring help identify bugs and performance issues early in the process, leading to higher-quality releases.

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Mastering advanced Git techniques like rebase, cherry-pick, and interactive staging can significantly improve your workflow and help you maintain a cleaner, more manageable codebase. This cheatsheet provides a quick reference to these powerful commands, allowing you to streamline your Git operations and reduce the likelihood of errors.

By incorporating these advanced techniques into your daily workflow, you'll be able to work more efficiently, collaborate more effectively, and maintain a higher quality codebase.

#!/bin/bash

# Check if commit message is provided
if [ -z "$1" ]; then
  echo "Please provide a commit message."
  exit 1
fi

# Add all changes to staging
git add .

# Commit with the provided message
git commit -m "$1"

# Push the commit to the current branch on the remote repository
git push

echo "Changes committed and pushed with message: '$1'"

Save this script as commit-push.sh and run it with:

• Error Handling: The code demonstrates how to log exceptions with stack traces using exc_info=True or the exception() method.

• Add Logging to Your Application: Use this snippet to quickly integrate logging into any Python application.