When developing upload services, it is often necessary to filter uploaded files.
This article provides you with a python method to determine the file type through the file header, which is very practical.
The code is as follows
import struct # 支持文件类型 # 用16进制字符串的目的是可以知道文件头是多少字节 # 各种文件头的长度不一样,少半2字符,长则8字符 def typeList(): return { "52617221": EXT_RAR, "504B0304": EXT_ZIP} # 字节码转16进制字符串 def bytes2hex(bytes): num = len(bytes) hexstr = u"" for i in range(num): t = u"%x" % bytes[i] if len(t) % 2: hexstr += u"0" hexstr += t return hexstr.upper() # 获取文件类型 def filetype(filename): binfile = open(filename, 'rb') # 必需二制字读取 tl = typeList() ftype = 'unknown' for hcode in tl.keys(): numOfBytes = len(hcode) / 2 # 需要读多少字节 binfile.seek(0) # 每次读取都要回到文件头,不然会一直往后读取 hbytes = struct.unpack_from("B"*numOfBytes, binfile.read(numOfBytes)) # 一个 "B"表示一个字节 f_hcode = bytes2hex(hbytes) if f_hcode == hcode: ftype = tl[hcode] break #不要忘记关闭打开的文件,避免出现异常 binfile.close() return ftype if __name__ == '__main__': print filetype('pythontab.jpg')
File headers of common file formats
File format file header (hex)
JPEG (jpg) FFD8FF
PNG (png) 89504E47
GIF (gif) 47494638
TIFF ( tif) 49492A00
Windows Bitmap (bmp) 424D
CAD (dwg) 41433130
Adobe Photoshop (psd) 38425053
Rich Text Format (rtf) 7B5C727466
XML (xml) 3C3F786D6C
HTML (html) 68746D6C3E
Email [thorough only] (eml) 44656C69766572792D646174653A
Outlook Express (dbx) CFAD12FEC5FD746F
Outlook (pst) 2142444E
MS Word/Excel (xls.or.doc) D0CF11 E0
MS Access (mdb) 5374616E64617264204A

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.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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