Async Python in Aktion: Parallelität, Multithreading und asynchrone Programmierung mit realen Projekten, (Paperback)
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This book delivers concrete techniques, clear code, and ready-to-use patterns for efficient concurrent programming in Python.
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- Python kann mehr als eine Aufgabe nach der anderen. Sie wollen Ihre Programme schneller, reaktiver und skalierbarer machen? Dann ist Asynchronität der Schlüssel.Dieses Buch zeigt Ihnen praxisnah, wie Sie mit Python moderne, nebenläufige Anwendungen entwickeln - mit Fokus auf AsyncIO, Multithreading und Parallelverarbeitung.Sie lernen Schritt für Schritt: Wie der Event Loop funktioniert - und warum er so wichtig istWann Sie auf async/await, Threads oder Prozesse setzen solltenWie Sie APIs, Datenbanken und Hintergrundaufgaben effizient verbindenWie Sie typische Fehler in der Nebenläufigkeit vermeidenWie Sie echte Projektbeispiele umsetzen: Web-Crawler, Task-Scheduler, Echtzeit-Daten-HandlingWie Sie Ihre Programme auf Performance und Skalierbarkeit trimmenOb Sie APIs schreiben, Skripte automatisieren oder serverseitige Logik optimieren - dieses Buch liefert konkrete Techniken, klaren Code und einsatzbereite Muster.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Home, Hobbies, & Garden |
| Publication date | August, 2025 |
| Pages | 286 |
| Subgenre | Non-Classifiable |
| Series title | No Series |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Original languages | German |
| Language | German |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.60 x 9.00 Inches (15.2 x 1.5 x 22.9 cm) |
| Assembled product weight | 0.85 lb (390 grams) |
| Bisac subject heading | Non-Classifiable |
Product Description
Async Python in Aktion: Parallelität, Multithreading und asynchrone Programmierung mit realen Projekten, (Paperback)
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Features & Benefits
- Master asynchronous programming to make your Python applications faster and more scalable.
- Learn the essentials of AsyncIO, multithreading, and parallel processing.
- Understand the importance of the event loop in concurrent programming.
- Discover when to use async/await, threads, or processes for optimal performance.
- Implement real-world projects such as web-crawlers and task-schedulers.
- Avoid common concurrency pitfalls with practical examples and solutions.
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