pyqt-threading

name	pyqt-threading
description	PyQt/PySide6 threading and concurrency - QThread, QThreadPool, QTimer, thread safety, concurrent patterns
metadata	{"author":"mte90","version":"1.0.0","tags":["python","qt","pyqt","pyside","threading","concurrency","async","qthread"]}

PyQt Threading - Concurrency and Thread Safety

Comprehensive guide to threading in PyQt applications.

Thread Safety Rules

CRITICAL: Qt/PyQt is NOT thread-safe for UI operations. You MUST follow these rules:

1. Never access widgets from worker threads - Only the main thread can modify UI
2. Use signals for cross-thread communication - Emit signals from worker, connect to slots in main thread
3. Use Qt.QueuedConnection for thread-safe signal delivery - AutoConnection handles this automatically
4. Never block the main thread - Long operations will freeze the UI

# ❌ WRONG: Direct UI access from thread
class BadWorker(QThread):
    def run(self):
        # This will crash or cause undefined behavior!
        self.label.setText("Done")

# ✅ CORRECT: Use signals
class GoodWorker(QThread):
    finished = Signal(str)
    
    def run(self):
        result = self.process_data()
        self.finished.emit(result)  # Signal emitted, UI updated in main thread

QThread with Worker Object (Recommended Pattern)

The most flexible pattern separates the worker logic from thread lifecycle:

from PySide6.QtCore import QThread, Signal, QObject, Slot

class Worker(QObject):
    """Worker object that does the actual work."""
    finished = Signal(object)
    progress = Signal(int)
    error = Signal(str)
    
    def __init__(self, data):
        super().__init__()
        self.data = data
        self._is_cancelled = False
    
    @Slot()
    def process(self):
        """Main processing method called from thread."""
        try:
            for i, item in enumerate(self.data):
                if self._is_cancelled:
                    return
                
                # Simulate heavy work
                result = self.process_item(item)
                self.progress.emit(int((i + 1) / len(self.data) * 100))
            
            self.finished.emit({"status": "success", "count": len(self.data)})
        except Exception as e:
            self.error.emit(str(e))
    
    def cancel(self):
        self._is_cancelled = True
    
    def process_item(self, item):
        import time
        time.sleep(0.1)  # Simulate work
        return item * 2

class ThreadController(QObject):
    """Manages worker thread lifecycle."""
    def __init__(self):
        super().__init__()
        self.thread = None
        self.worker = None
    
    def start_work(self, data):
        # Create thread and worker
        self.thread = QThread()
        self.worker = Worker(data)
        
        # Move worker to thread
        self.worker.moveToThread(self.thread)
        
        # Connect signals
        self.worker.finished.connect(self.on_finished)
        self.worker.progress.connect(self.on_progress)
        self.worker.error.connect(self.on_error)
        
        # Thread lifecycle
        self.thread.started.connect(self.worker.process)
        self.thread.finished.connect(self.thread.deleteLater)
        
        # Start thread
        self.thread.start()
    
    def cancel_work(self):
        if self.worker:
            self.worker.cancel()
        if self.thread:
            self.thread.quit()
            self.thread.wait()
    
    @Slot()
    def on_finished(self, result):
        print(f"Work completed: {result}")
        self.cleanup()
    
    @Slot()
    def on_progress(self, percent):
        print(f"Progress: {percent}%")
    
    @Slot()
    def on_error(self, error):
        print(f"Error: {error}")
        self.cleanup()
    
    def cleanup(self):
        self.thread = None
        self.worker = None

QThread Subclass (Simpler Pattern)

For simpler cases, subclass QThread directly:

from PySide6.QtCore import QThread, Signal

class DataProcessor(QThread):
    """Thread that processes data and emits progress."""
    progress = Signal(int)
    result_ready = Signal(list)
    error_occurred = Signal(str)
    finished = Signal()
    
    def __init__(self, input_data, parent=None):
        super().__init__(parent)
        self.input_data = input_data
        self._cancelled = False
    
    def run(self):
        """Thread entry point - called by start()."""
        try:
            results = []
            total = len(self.input_data)
            
            for i, item in enumerate(self.input_data):
                if self._cancelled:
                    self.error_occurred.emit("Cancelled")
                    return
                
                # Process item (heavy work here)
                processed = self.process_item(item)
                results.append(processed)
                
                # Emit progress
                progress_percent = int((i + 1) / total * 100)
                self.progress.emit(progress_percent)
            
            self.result_ready.emit(results)
        except Exception as e:
            self.error_occurred.emit(str(e))
        finally:
            self.finished.emit()
    
    def process_item(self, item):
        import time
        time.sleep(0.05)  # Simulate work
        return str(item).upper()
    
    def cancel(self):
        self._cancelled = True

# Usage
class MainWindow(QMainWindow):
    def __init__(self):
        super().__init__()
        self.processor = None
        
        self.progress = QProgressBar()
        self.start_btn = QPushButton("Start")
        self.cancel_btn = QPushButton("Cancel")
        
        self.start_btn.clicked.connect(self.start_processing)
        self.cancel_btn.clicked.connect(self.cancel_processing)
    
    def start_processing(self):
        data = ["item1", "item2", "item3", "item4", "item5"]
        
        self.processor = DataProcessor(data)
        self.processor.progress.connect(self.progress.setValue)
        self.processor.result_ready.connect(self.on_results)
        self.processor.error_occurred.connect(self.on_error)
        self.processor.finished.connect(self.on_finished)
        
        self.processor.start()
        self.start_btn.setEnabled(False)
    
    def cancel_processing(self):
        if self.processor:
            self.processor.cancel()
    
    def on_results(self, results):
        print(f"Got {len(results)} results")
    
    def on_error(self, error):
        QMessageBox.warning(self, "Error", error)
    
    def on_finished(self):
        self.start_btn.setEnabled(True)
        self.progress.setValue(0)
        self.processor = None

QThreadPool with QRunnable

For parallel execution of independent tasks:

from PySide6.QtCore import QThreadPool, QRunnable, Signal, QObject, QThread
import time

class TaskSignals(QObject):
    """Signals for QRunnable (QRunnable cannot have signals directly)."""
    finished = Signal(object)
    error = Signal(str)
    progress = Signal(int)

class ParallelTask(QRunnable):
    """Runnable task for thread pool."""
    
    def __init__(self, task_id, data):
        super().__init__()
        self.task_id = task_id
        self.data = data
        self.signals = TaskSignals()
        self._cancelled = False
    
    def run(self):
        """Executed by thread pool."""
        try:
            time.sleep(0.5)  # Simulate work
            
            if self._cancelled:
                return
            
            result = {
                "id": self.task_id,
                "processed": str(self.data).upper(),
                "thread": int(QThread.currentThreadId())
            }
            
            self.signals.finished.emit(result)
        except Exception as e:
            self.signals.error.emit(str(e))
    
    def cancel(self):
        self._cancelled = True

class ThreadPoolManager(QObject):
    """Manages parallel task execution."""
    all_finished = Signal(int)
    
    def __init__(self, max_threads=4):
        super().__init__()
        self.pool = QThreadPool()
        self.pool.setMaxThreadCount(max_threads)
        self.active_tasks = {}
        self.completed_count = 0
        self.total_tasks = 0
    
    def run_parallel(self, tasks):
        """Run multiple tasks in parallel."""
        self.completed_count = 0
        self.total_tasks = len(tasks)
        self.active_tasks.clear()
        
        for task_id, data in enumerate(tasks):
            task = ParallelTask(task_id, data)
            task.signals.finished.connect(
                lambda result, tid=task_id: self.on_task_finished(result)
            )
            task.signals.error.connect(self.on_task_error)
            self.active_tasks[task_id] = task
            self.pool.start(task)
    
    def on_task_finished(self, result):
        self.completed_count += 1
        task_id = result["id"]
        del self.active_tasks[task_id]
        
        if self.completed_count >= self.total_tasks:
            self.all_finished.emit(self.completed_count)
    
    def on_task_error(self, error):
        print(f"Task error: {error}")
    
    def cancel_all(self):
        for task in self.active_tasks.values():
            task.cancel()
        self.active_tasks.clear()

QTimer for Periodic Updates

from PySide6.QtCore import QTimer, Slot

class PollingWidget(QWidget):
    def __init__(self):
        super().__init__()
        
        # Create timer
        self.timer = QTimer(self)
        self.timer.timeout.connect(self.on_timeout)
        
        # UI
        self.status_label = QLabel("Last update: Never")
        self.poll_btn = QPushButton("Start Polling")
        self.poll_btn.setCheckable(True)
        
        layout = QVBoxLayout(self)
        layout.addWidget(self.status_label)
        layout.addWidget(self.poll_btn)
        
        self.poll_btn.toggled.connect(self.toggle_polling)
    
    @Slot()
    def toggle_polling(self, checked):
        if checked:
            self.timer.start(1000)  # Poll every second
            self.poll_btn.setText("Stop Polling")
        else:
            self.timer.stop()
            self.poll_btn.setText("Start Polling")
    
    @Slot()
    def on_timeout(self):
        from datetime import datetime
        self.status_label.setText(f"Last update: {datetime.now().strftime('%H:%M:%S')}")

QThreadPool with QRunnable - Fire-and-Forget Pattern

For fire-and-forget tasks where you don't need to wait for results:

from PySide6.QtCore import QThreadPool, QRunnable, Signal, QObject
import time

class BackgroundTask(QRunnable):
    """Runnable for fire-and-forget operations."""
    
    def __init__(self, task_id, data):
        super().__init__()
        self.task_id = task_id
        self.data = data
        self._cancelled = False
    
    def run(self):
        """Executed by thread pool - auto-managed lifecycle."""
        try:
            # Simulate background work
            for i in range(10):
                if self._cancelled:
                    return
                import time
                time.sleep(0.1)
            
            print(f"Task {self.task_id} completed")
            
        except Exception as e:
            # Log error silently for fire-and-forget
            print(f"Task {self.task_id} failed: {e}")

# Usage - fire and forget
task = BackgroundTask(42, "some data")
QThreadPool.globalInstance().start(task)
# Task automatically deleted after run() completes

Key Behaviors:

• Auto-delete: QRunnable is deleted automatically after run() completes
• No explicit lifecycle management needed: Pool handles creation and destruction
• Global thread pool: QThreadPool.globalInstance() returns the default singleton
• Default limit: Typically 8 threads (can be configured via setMaxThreadCount())
• Thread recycling: Completed tasks' threads are reused for new tasks

moveToThread() Pattern - Worker Object Semantics

Correct Pattern: Worker + Thread Controller

The worker object pattern is the recommended approach for explicit thread control:

from PySide6.QtCore import QThread, Signal, QObject, Slot

class Worker(QObject):
    """Worker owns the work, controller owns the thread."""
    progress = Signal(int)
    finished = Signal(object)
    
    def __init__(self, data):
        super().__init__()
        self.data = data
        self._is_running = False
    
    @Slot()
    def process(self):
        """Main work method - called from thread."""
        self._is_running = True
        try:
            # Heavy computation here
            for i in range(100):
                self.progress.emit(i)
            self.finished.emit(None)
        finally:
            self._is_running = False

class ThreadController(QObject):
    """Controller owns thread and manages worker."""
    def __init__(self):
        super().__init__()
        self.thread = None
        self.worker = None
    
    def start_work(self, data):
        # Create NEW thread and worker
        self.thread = QThread()
        self.worker = Worker(data)
        
        # CRITICAL: Move worker TO thread
        self.worker.moveToThread(self.thread)
        
        # Worker lifetime tied to thread lifetime
        self.thread.started.connect(self.worker.process)
        self.thread.finished.connect(self.thread.quit)
        self.thread.finished.connect(self.thread.deleteLater)
        
        self.thread.start()

Ownership Semantics

Object	Owner	Lifetime	Deletion
Worker	ThreadController	Until thread.quit() + wait()	worker.deleteLater()
Thread	ThreadController	Until deleted	thread.deleteLater()
Signals	Their parent	Until parent deleted	Automatic

Common Mistakes to Avoid

# ❌ WRONG: Worker outlives thread
controller = ThreadController()
controller.thread = QThread()
controller.worker = Worker()
controller.thread.moveToThread(controller.worker)  # Wrong direction!
controller.thread.start()
# Problem: Worker destroyed before thread finishes

# ❌ WRONG: Forgetting thread lifecycle
def start_work():
    thread = QThread()
    worker = Worker()
    worker.moveToThread(thread)
    thread.start()  # Never quit() or wait()!
# Problem: Zombie thread keeps running

# ✅ CORRECT: Proper ownership chain
controller = ThreadController()
controller.start_work(data)
# Later when done:
controller.thread.quit()
controller.thread.wait()
# Now delete: controller.worker.deleteLater()

Thread Lifecycle Management

Thread Signals and State

from PySide6.QtCore import QThread, Signal, QObject

class MyThread(QThread):
    started = Signal()  # Emitted when thread() is called
    finished = Signal()  # Emitted when finished() is called
    isRunningChanged = Signal(bool)  # Emitted when running state changes
    
    def __init__(self):
        super().__init__()
        self._running = False
    
    def run(self):
        self._running = True
        self.isRunningChanged.emit(True)
        self.started.emit()
        try:
            # Work here
            pass
        finally:
            self.finished.emit()

Proper Cleanup Pattern

class ThreadManager(QObject):
    def __init__(self):
        super().__init__()
        self.threads = {}
    
    def create_thread(self, name, worker):
        thread = QThread()
        thread.setObjectName(name)
        
        worker.moveToThread(thread)
        thread.started.connect(worker.start_work)
        
        # Cleanup when thread finishes
        thread.finished.connect(self._on_thread_finished, Qt.QueuedConnection)
        
        thread.start()
        self.threads[name] = thread
        
        return thread
    
    def _on_thread_finished(self, thread, name):
        """Clean up resources when thread exits."""
        # Signal for parent to handle cleanup
        self.on_thread_cleanup.emit(thread, name)
        
        # Auto-delete worker
        if name in self.thread_workers:
            worker = self.thread_workers.pop(name)
            worker.deleteLater()
        
        # Thread will be deleted by connect above
        print(f"Thread {name} cleaned up")
    
    def on_thread_cleanup(self, thread, name):
        """Override to handle custom cleanup."""
        del self.threads[name]

# Usage
manager = ThreadManager()
manager.thread_workers = {"worker1": worker}
thread = manager.create_thread("WorkerThread", worker)
# When thread finishes, worker is auto-deleted

Graceful Shutdown Patterns

class GracefulWorker(QObject):
    finished = Signal()
    
    def __init__(self):
        super().__init__()
        self._shutdown_requested = False
        self._current_task = None
    
    def shutdown(self):
        """Request graceful shutdown."""
        self._shutdown_requested = True
        if self._current_task:
            self._current_task.cancel()
    
    def run(self):
        while not self._shutdown_requested:
            # Check shutdown before starting new task
            if self._check_ready_for_work():
                self._do_work()
            else:
                import time
                time.sleep(0.01)  # Small delay to avoid busy-wait
        
        self.finished.emit()

# Shutdown sequence
def shutdown_worker(worker, thread):
    """Clean shutdown of worker and thread."""
    worker.shutdown()
    
    # Wait for current work to complete
    for _ in range(100):
        if worker.isFinished():  # Qt isSignal (weak reference)
            break
        import time
        time.sleep(0.1)
    
    # Quit thread
    thread.quit()
    thread.wait()
    
    # Final cleanup
    worker.deleteLater()
    thread.deleteLater()

Thread Safety - Advanced Patterns

Thread-Safe State Management

from PySide6.QtCore import QObject, QObject, QMutex, QMutexLocker, QAtomicPointer
from PySide6.QtCore import QThread, Signal
import threading

class ThreadSafeCounter:
    """Atomic counter for thread-safe increment."""
    
    def __init__(self, initial=0):
        self._value = QAtomicPointer(initial)
    
    def increment(self):
        """Atomic increment operation."""
        return QAtomicPointer.fetchAndAddRelaxed(self._value, 1)
    
    def get(self):
        """Atomic read."""
        return QAtomicPointer.load(self._value)
    
    def set(self, value):
        """Atomic write."""
        QAtomicPointer.store(self._value, value)

class SharedResource:
    """Advanced thread-safe resource."""
    
    def __init__(self):
        self._data = {}
        self._mutex = threading.Lock()  # Platform lock for cross-thread use
        self._ref_count = 0
        self._lock = QMutex()
    
    def acquire(self):
        """Thread-safe acquisition with timeout."""
        acquired = QMutex.tryLock(self._lock, 1000)  # 1 second timeout
        if not acquired:
            raise RuntimeError("Failed to acquire lock within timeout")
        self._ref_count += 1
    
    def release(self):
        """Thread-safe release."""
        QMutex.unlock(self._lock)
        self._ref_count -= 1
    
    def update(self, key, value):
        """Thread-safe update with atomicity."""
        locker = QMutexLocker(self._lock)
        # Critical section - only one thread here at a time
        self._data[key] = value

Avoiding UI State Races

from PySide6.QtWidgets import QApplication
from PySide6.QtCore import QObject, Signal, Slot
import threading

class UIStateManager:
    """Prevent UI state races using mutex guards."""
    
    def __init__(self):
        self._state_lock = threading.Lock()
        self._update_in_progress = False
    
    def safe_update_ui(self, value):
        """Ensure only one UI update at a time."""
        if threading.current_thread() is threading.main_thread():
            # Main thread - direct update
            self._apply_ui_update(value)
        else:
            # Worker thread - schedule update
            self.update_ui_slot(value)
    
    @Slot()
    def update_ui_slot(self, value):
        """Thread-safe slot for UI updates."""
        with self._state_lock:
            if self._update_in_progress:
                # Already updating - cancel and request again
                self._cancel_pending_update()
            self._update_in_progress = True
            try:
                # Apply UI update from main thread
                QApplication.instance().postEvent(
                    QApplication.instance(),
                    self._update_event(value)
                )
            finally:
                self._update_in_progress = False
    
    def _apply_ui_update(self, value):
        """Actual UI update - must be called from main thread."""
        self.status_label.setText(str(value))
    
    def _cancel_pending_update(self):
        """Cancel any pending UI updates."""
        self.status_label.setText("Updating...")

Resource Exhaustion Prevention

class ThreadPoolManager:
    """Configurable thread pool with resource limits."""
    
    def __init__(self, max_threads=4, max_concurrent=2):
        self.pool = QThreadPool()
        self.pool.setMaxThreadCount(max_threads)
        self.max_concurrent = max_concurrent
        self.active_count = 0
        self._lock = QMutex()
    
    def submit_safe(self, task):
        """Submit task only if under concurrency limit."""
        if self._should_proceed():
            self.pool.start(task)
        else:
            # Queue for later or reject
            print("Too many concurrent tasks")
    
    def _should_proceed(self):
        """Check if we can proceed with new task."""
        with QMutexLocker(self._lock):
            self.active_count += 1
            result = self.active_count < self.max_concurrent
            if not result:
                self.active_count -= 1
            return result
    
    def _cleanup_finished(self, task):
        """Called when task completes."""
        with QMutexLocker(self._lock):
            self.active_count -= 1

class LeakyResourceGuard:
    """Prevent resource leaks in long-running threads."""
    
    def __init__(self, max_duration=300, max_memory=100 * 1024 * 1024):  # 5 min, 100MB
        self.max_duration = max_duration
        self.max_memory = max_memory
        self._start_time = None
        self._memory_usage = 0
    
    def start(self):
        self._start_time = time.time()
        self._memory_usage = self._get_memory_usage()
    
    def check(self):
        """Check for resource exhaustion."""
        elapsed = time.time() - self._start_time
        current_memory = self._get_memory_usage()
        
        # Time limit
        if elapsed > self.max_duration:
            raise TimeoutError(f"Thread ran for {elapsed}s, exceeded {self.max_duration}s")
        
        # Memory limit
        memory_delta = current_memory - self._memory_usage
        if memory_delta > self.max_memory:
            raise MemoryError(f"Thread leaked {memory_delta} bytes")
    
    def _get_memory_usage(self):
        """Get approximate memory usage."""
        import resource
        return resource.getrusage(resource.RUSAGE_SELF).ru_maxrss

Best Practices

1. Always use signals for cross-thread communication
2. Keep worker objects thread-affinity aware - Don't assume they're in main thread
3. Clean up threads properly - Use deleteLater() and quit() + wait()
4. Handle cancellation - Check flags periodically in long operations
5. Use QThreadPool for parallel independent tasks
6. Use QThread.moveToThread() for single long operations
7. Never use time.sleep() in main thread - Use timers or workers instead

Common Issues

Issue	Cause	Solution
UI freezes	Blocking operation in main thread	Move to worker thread
Crashes on widget access	Accessing UI from worker thread	Use signals instead
Memory leaks	Thread not cleaned up	Use deleteLater() and proper lifecycle
Deadlocks	Multiple mutexes acquired in different order	Always acquire in same order, use timeout
Race conditions	Shared data without locks	Use QMutex or atomic operations

Best Practices

1. Always use signals for cross-thread communication - Direct widget access from threads causes crashes
2. Keep worker objects thread-affinity aware - Never assume QObject is in main thread
3. Clean up threads properly - Use deleteLater() and quit() + wait()
4. Handle cancellation - Check flags periodically in long operations
5. Use QThreadPool for parallel independent tasks - Default pool manages resource limits
6. Use moveToThread() for explicit thread control - Worker object pattern is recommended
7. Never use time.sleep() in main thread - Use QTimer or workers instead
8. Keep locks short-lived - Only hold mutexes for critical section duration
9. Use QReadWriteLock for read-heavy data - Multiple readers possible, single writer
10. Monitor thread pool limits - Set maxThreadCount to prevent resource exhaustion

Common Pitfalls

Issue	Cause	Solution
UI crashes on widget access	Widget accessed from worker thread	Always use signals to update UI from main thread
Deadlock	Multiple mutexes acquired in different order	Always acquire in consistent order, use timeouts
Race conditions	Shared data without locks	Use QMutex, QAtomicPointer, or atomic operations
Memory leaks	Threads not cleaned up	Use deleteLater() on threads and workers
Thread not stopping	No quit() + wait() sequence	Always call thread.quit() then thread.wait()
Signals firing from wrong thread	AutoConnection uses queued delivery	AutoConnection is correct - don't change
Re-entrancy issues	Signal handler calls slot recursively	Use flags to track state changes
Resource exhaustion	Unlimited thread pool threads	Set maxThreadCount on QThreadPool
Busy-wait loops	Thread polling without sleep	Use QTimer instead of polling
Lock not released	Exception before unlock	Use QMutexLocker for RAII-style cleanup

Top 5 Mistakes to Avoid

1. Never access UI from worker threads - The most common crash cause

   # ❌ CRASH: Direct UI access
   def run(self):
       self.label.setText("Done")  # Crashes!
   
   # ✅ SAFE: Use signals
   def run(self):
       self.finished.emit("Done")  # UI updated in main thread
   

2. Forgetting thread lifecycle management - Threads become zombies

   # ❌ BAD: No cleanup
   thread = QThread()
   thread.start()  # Never quit() or wait()
   
   # ✅ GOOD: Proper lifecycle
   thread.start()
   thread.quit()
   thread.wait()  # Wait for thread to finish
   

3. Acquiring locks in wrong order - Deadlock

   # ❌ DEADLOCK
   def do_work(self):
       with lock_a:
           with lock_b:
               pass
   
   def do_other_work(self):
       with lock_b:  # Different order!
           with lock_a:
               pass
   
   # ✅ SAFE: Consistent ordering
   # Always acquire locks in same order (e.g., by ID)
   

4. Using locks too long - Performance issues

   # ❌ BAD: Lock held for long operation
   with lock:
       result = heavy_computation()
   
   # ✅ GOOD: Hold lock only for data access
   with lock:
       data = self.shared_data
   result = heavy_computation(data)  # Outside lock
   

5. Forgetting to check cancellation - Threads don't stop

   # ❌ BAD: Infinite loop
   def run(self):
       while True:
           do_work()
   
   # ✅ GOOD: Check cancellation flag
   def run(self):
       while not self._cancelled:
           if self._work_done():
               break
           do_work()
   

References

Official Documentation

• Qt Threads and Objects: https://doc.qt.io/qt-6/threads-and-qobjects.html
• QThread: https://doc.qt.io/qt-6/qthread.html
• QThreadPool: https://doc.qt.io/qt-6/qpthreadpool.html
• QMutex: https://doc.qt.io/qt-6/qmutex.html
• QMutexLocker: https://doc.qt.io/qt-6/qmutexlocker.html
• QReadWriteLock: https://doc.qt.io/qt-6/qreadwritelock.html
• QAtomicPointer: https://doc.qt.io/qt-6/qatomicpointer.html
• Signal/Slot: https://doc.qt.io/qt-6/signalsandslots.html

Qt for Python (PySide6/PyQt6)

• PySide6 QThread: https://doc.qt.io/qtforpython-6/PySide6/QtCore/QThread.html
• PySide6 QThreadPool: https://doc.qt.io/qtforpython-6/PySide6/QtCore/QThreadPool.html
• PyQt6 QThread: https://www.riverbankcomputing.com/static/Docs/PyQt6/qthread.html

Community Resources

• Threading Best Practices: https://realpython.com/python-threading/ (adapted for Qt)
• Qt Multithreading Guide: https://www.qt.io/blog/solving-multithreading-problems-in-qt-6
• PySide6 Examples: https://github.com/pyside/pyside-examples
• PyQt6 Threading: https://www.riverbankcomputing.com/static/Docs/PyQt6/qthread.html#queuing-mechanism

Advanced Topics

• Atomic Operations: https://doc.qt.io/qt-6/qatomicint.html (atomic types)
• Inter-Thread Communication: https://doc.qt.io/qt-6/inter-thread-communication.html
• Thread Safety Analysis: https://doc.qt.io/qt-6/thread-safety-analysis.html

Testing

• pytest-qt for Threading Tests: https://pytest-qt.readthedocs.io/
• Async Testing Patterns: https://doc.qt.io/qt-6/async-testing.html