Web Reference: In this tutorial, you'll learn about the issues that can occur when your code is run in a multithreaded environment. Then you'll explore the various synchronization primitives available in Python's threading module, such as locks, which help you make your code safe. In this tutorial, you'll learn about the race conditions and how to use the Python threading Lock object to prevent them. Since this is the first result in Google about " using threading.Lock () with with / context_manager " here is the answer: yes, you can use both Lock, RLock, or any other object in python threading lib that supports acquire()/release() as with threading.smth():.
YouTube Excerpt: Today we learn how to synchronize

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Python [threading] 08 Locks
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Thread Synchronization in Python | Multithreading | lock | release | acquire
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Race Condition and How to Solve it - threading.Lock | 2MinutesPy
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Python Threading Explained in 8 Minutes
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Creating and sharing data between Python Threads using data structures like queue, locks & events
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