


Python method to play wav files (calling the system's underlying API)
This article mainly introduces the method of Python calling the system's underlying API to play wav files. It involves the related operating skills of Python using pywin32 to call the system's underlying API to read and play wav files. Friends in need can refer to the following
The example in this article describes how Python calls the underlying API of the system to play wav files. Share it with everyone for your reference, the details are as follows:
No other libraries are used here, but pywin32 is used to call the underlying API of the system to play wav files.
The specific code is as follows:
# Our raison d'etre - playing sounds import pywintypes import struct import win32event import win32com.directsound.directsound as ds import os WAV_HEADER_SIZE = struct.calcsize('<4sl4s4slhhllhh4sl') def wav_header_unpack(data): '''解包wav文件头信息''' (riff, riffsize, wave, fmt, fmtsize, format, nchannels, samplespersecond, \ datarate, blockalign, bitspersample, data, datalength) = struct.unpack('<4sl4s4slhhllhh4sl', data) if riff != b'RIFF' or fmtsize != 16 or fmt != b'fmt ' or data != b'data': raise ValueError wfx = pywintypes.WAVEFORMATEX() wfx.wFormatTag = format wfx.nChannels = nchannels wfx.nSamplesPerSec = samplespersecond wfx.nAvgBytesPerSec = datarate wfx.nBlockAlign = blockalign wfx.wBitsPerSample = bitspersample return wfx, datalength # 播放wav文件,直到结束 sound_file = "音效-足球观众的欢呼声.wav" fname = os.path.join(os.path.dirname(__file__), sound_file) f = open(fname, 'rb') # 读取/解包wav文件头 hdr = f.read(WAV_HEADER_SIZE) wfx, size = wav_header_unpack(hdr) d = ds.DirectSoundCreate(None, None) d.SetCooperativeLevel(None, ds.DSSCL_PRIORITY) sdesc = ds.DSBUFFERDESC() sdesc.dwFlags = ds.DSBCAPS_STICKYFOCUS | ds.DSBCAPS_CTRLPOSITIONNOTIFY sdesc.dwBufferBytes = size sdesc.lpwfxFormat = wfx buffer = d.CreateSoundBuffer(sdesc, None) event = win32event.CreateEvent(None, 0, 0, None) notify = buffer.QueryInterface(ds.IID_IDirectSoundNotify) notify.SetNotificationPositions((ds.DSBPN_OFFSETSTOP, event)) buffer.Update(0, f.read(size)) buffer.Play(0) win32event.WaitForSingleObject(event, -1)
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

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