Python Threading Tutorial

Author: CoreyMSchafer

Diff for: Python/Threading/download-images.py

@@ -0,0 +1,41 @@
+import requests
+import time
+import concurrent.futures
+
+img_urls = [
+    'https://images.unsplash.com/photo-1516117172878-fd2c41f4a759',
+    'https://images.unsplash.com/photo-1532009324734-20a7a5813719',
+    'https://images.unsplash.com/photo-1524429656589-6633a470097c',
+    'https://images.unsplash.com/photo-1530224264768-7ff8c1789d79',
+    'https://images.unsplash.com/photo-1564135624576-c5c88640f235',
+    'https://images.unsplash.com/photo-1541698444083-023c97d3f4b6',
+    'https://images.unsplash.com/photo-1522364723953-452d3431c267',
+    'https://images.unsplash.com/photo-1513938709626-033611b8cc03',
+    'https://images.unsplash.com/photo-1507143550189-fed454f93097',
+    'https://images.unsplash.com/photo-1493976040374-85c8e12f0c0e',
+    'https://images.unsplash.com/photo-1504198453319-5ce911bafcde',
+    'https://images.unsplash.com/photo-1530122037265-a5f1f91d3b99',
+    'https://images.unsplash.com/photo-1516972810927-80185027ca84',
+    'https://images.unsplash.com/photo-1550439062-609e1531270e',
+    'https://images.unsplash.com/photo-1549692520-acc6669e2f0c'
+]
+
+t1 = time.perf_counter()
+
+
+def download_image(img_url):
+    img_bytes = requests.get(img_url).content
+    img_name = img_url.split('/')[3]
+    img_name = f'{img_name}.jpg'
+    with open(img_name, 'wb') as img_file:
+        img_file.write(img_bytes)
+        print(f'{img_name} was downloaded...')
+
+
+with concurrent.futures.ThreadPoolExecutor() as executor:
+    executor.map(download_image, img_urls)
+
+
+t2 = time.perf_counter()
+
+print(f'Finished in {t2-t1} seconds')

Diff for: Python/Threading/photo-1493976040374-85c8e12f0c0e.jpg

@@ -0,0 +1,32 @@
+import concurrent.futures
+import time
+
+start = time.perf_counter()
+
+
+def do_something(seconds):
+    print(f'Sleeping {seconds} second(s)...')
+    time.sleep(seconds)
+    return f'Done Sleeping...{seconds}'
+
+
+with concurrent.futures.ThreadPoolExecutor() as executor:
+    secs = [5, 4, 3, 2, 1]
+    results = executor.map(do_something, secs)
+
+    # for result in results:
+    #     print(result)
+
+# threads = []
+
+# for _ in range(10):
+#     t = threading.Thread(target=do_something, args=[1.5])
+#     t.start()
+#     threads.append(t)
+
+# for thread in threads:
+#     thread.join()
+
+finish = time.perf_counter()
+
+print(f'Finished in {round(finish-start, 2)} second(s)')