Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
as executor: # Submit threads for each JSON file futures = [executor.submit(thread_worker, file) for file in json_files] # Wait for all threads to complete results = [future.result() for future in futures] # Process the results as needed for result in results: if result is None: continue df,