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Source channel @githubtrending · Post #15124 · Sep 6
#rust#blockchain#fhe#privacy FHEVM by Zama lets you create smart contracts on Ethereum-like blockchains that keep all data fully encrypted and private while still running normally. It uses Fully Homomorphic Encryption (FHE) so computations happen on encrypted data without revealing it. This means your transactions, balances, votes, or game moves stay secret but verifiable. You can write these contracts in Solidity like usual, with no need to learn complex cryptography. FHEVM is fast, secure against quantum attacks, and works with existing apps. This helps you build private DeFi, auctions, voting, and more, protecting sensitive info on public blockchains. It makes blockchain apps more secure and private without losing functionality. https://github.com/zama-ai/fhevm
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@djangoproject · Post #574 · 02/25/2018, 02:34 PM
http://www.paulbrownmagic.com/blog/python_partial_application Python Partial: Code Your Intention Of all the functional programming inspired features in Python, partial application must be the best kept secret that you really need to know. Partial application lets you create highly abstract functions and make them more specific for use, pass a function arguments without calling it yet, and so much more. #tuple#sort
@djangoproject · Post #153 · 09/03/2016, 08:20 PM
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.