Used for encryption-related operations, 3.x replaced the md5 module and sha module, mainly providing SHA1, SHA224, SHA256, SHA384, SHA512, MD5 algorithms
import hashlib m = hashlib.md5() m.update(b"hello") print(m.hexdigest()) m.update(b"It's me") print(m.hexdigest()) m.update(b"It's been a long time since we spoken.") print(m.hexdigest()) m2 = hashlib.md5() m2.update(b"helloIt's me") print(m2.hexdigest()) # 输出 5d41402abc4b2a76b9719d911017c592 64f69d95135bc13d4827f871b37f780f 0c9a83e10aa2f9e9629be61146db9cc2 64f69d95135bc13d4827f871b37f780f #第二个和第四个 md5值是相同的,所以第二个加密的是 helloIt'sme
print
(m.digest())
#Binary format hash
print
(
len
(m.hexdigest()))
#Hexadecimal format hash
# ######## sha1 ######## hash = hashlib.sha1() hash.update('admin') print(hash.hexdigest()) # ######## sha256 ######## hash = hashlib.sha256() hash.update('admin') print(hash.hexdigest()) # ######## sha384 ######## hash = hashlib.sha384() hash.update('admin') print(hash.hexdigest()) # ######## sha512 ######## hash = hashlib.sha512() hash.update('admin') print(hash.hexdigest())
Python also has a hmac module, which internally processes the key and content we create and then encrypts them.
Hash message authentication code, referred to as HMAC, is a message authentication code based on MAC (Message Authentication Code) authentication mechanism. When using HMAC, both parties in the message communication authenticate the message by verifying the authentication key K added to the message;
is generally used for message encryption in network communications, provided that both parties must first agree on the key. Just like the joint code, the message sender then uses the key to encrypt the message, and the receiver uses key + message plaintext to encrypt it again. The encrypted value is compared with the sender's value to see if it is equal, so that the authenticity of the message can be verified, and The sender's legitimacy.
import hmac h = hmac.new("天王盖地虎".encode(encoding="utf-8"), "你是小松鼠".encode(encoding="utf-8")) print(h.digest()) print(h.hexdigest()) #输出 b'fx\xad\xdd\x9e\xd6\xddcQN\x82c\xcd\xd9\x80-' 6678addd9ed6dd63514e8263cdd9802d
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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.

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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