vyper VS CPython

🚧 To do this, we need to create a mocks/ folder inside the contracts/ folder, and within it, create an Token.vy file. You can add the code from the following link to this file: Vyper ERC20 Token.

Patrick Collins, CEO of uh "Chain Accel / Cyfrin / Alpha Chain" (video, kinda) gave a different kind of talk than most, focusing on the differences between Solidity and Vyper in terms of their compilation strategies and optimizations. Maybe it's just nice to see a talk that's just a collection of technical fun facts rather than trying to shill me on their product. I'll admit I didn't realize people still used Vyper, but I'm not a smart contract dev and their github is still active at least. An interesting look into compiled EVM bytecode/opcode.

Feel stuck? Take a look at the Vyperlang Official Implemenation

Swap.Dance is an Ethereum dApp which allows anyone to swap ERC20 tokens and ETH with low slippage. Proof of Trade concept provides a new type of staking mechanism for LP providers. Smart contracts were deployed on Vyper v0.3.3 and are immutable and not upgradeable. Github.

Vyper - Pythonic Smart Contract Language for the EVM

Create a new file named SampleToken.vy in contracts/ directory. Then implement a smart contract while referring to the Vyper ERC20 example.

How about vyper? https://github.com/vyperlang/vyper

1) Research the community that surrounds the project and see how the general ecosystem works. Normally, on Discord or Telegram you can start talking with devs and get a deeper understanding of the project. 2) Try to narrow down, which kind of project you want to contribute. A DEX / DeFi project like UniSwap or SushiSwap or yarn.finance? Or more like a tool like MetaMask? Or even, more like an Ethereum client like Besu, Geth or Erigon? Or even, Vyper or Solidity?

You could try Vyper if you'd want to try developing smart contracts.

> I need a hero, and by that, I mean that I need a usable methodology for building scaleable decentralized apps. Yes, you've heard that right. We don't need more "Ethereum killers" that can do 10x more tx/s than Ethereum. Those are useless.

Having worked on large Ethereum smart contracts (running an auction on chain) over two years, I fully agree with this. Ethereum needs better smart contract languages, better compilers and better dev tooling.

As our smart contract written in Vyper (for ease of auditing) grew larger and larger, eventually we failed to deploy on the testnet, and closer inspection reveal that the compiler was blowing up code size which I had to patch[0]. Down the line upstream further increased gas costs by emitting code that zeroed out every member of an array (note the EVM already has all memory set to 0). To support efficient insertion/deletion of bids we had to handroll a skip list on the blockchain(!), because there are no Vyper libraries.

On the language development side, things don't look too pretty either, I ended up having to write an EVM assembler from scratch[1], but deeper still are problems such as a lack of a separate call stack in EVM, so procedure calls always end up clunky and implementation-dependent.

Perhaps eWASM will alleviate some of these concerns. But until then, the entire dev process for writing smart contracts is painful.

[0] https://github.com/vyperlang/vyper/pull/1488

[1] https://github.com/ActorForth/evm-assembler/blob/master/docs...

Thankfully, Python, the go-to coding language for loads of developers, is here to save the day. It's got some awesome features for diving into text sentiment analysis. With cool libraries like Tweepy, we can sift through X(Twitter) data and snag those interesting tweets about Bitcoin. And then there's TextBlob, a clever tool for understanding the sentiment in text. When it's time to clean up and organize all that data, libraries like pandas and numpy are there to help out. And let's not forget about matplotlib, the master of visualisations that can help us see the trends in sentiment crystal clear. Armed with these tools, developers can really dig deep into social media data and figure out what the general public thinks about Bitcoin.

Web Scraping Tool Development: Develop a Python based web scraping tool capable of extracting data from targeted web pages on Yahoo Finance and presenting the data extracted in a readable format. Our target site relies on AJAX to load and update the data dynamically so we will need a tool that is capable of processing JavaScript.

Dealing with piles of papers or scattered Excel sheets for employee information can be a real headache, right? Well, what if I told you there's a smoother way to handle all that? A system that lets you easily store, update, and find details about your employees in just a few clicks. Sounds neat, doesn't it? In this article, we're going to explore creating an employee management system using Python, Tkinter, and SQLite3.

Python is a versatile tool, and today we're delving into a practical use case that can simplify your daily routines. With the datetime module at your disposal, handling dates and times becomes a breeze, making it perfect for crafting accurate and dynamic product receipts. Whether you're a seasoned Python pro or just starting your coding journey, this article will guide you through each step with ease.

When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.

> It provides a meaningful performance improvement for at least one popular platform (realistically, on the order of 5%).

At first it will not provide a large boost, but it will set the foundations for larger gains in subsequent releases. They link a list of some proposed improvements already underway, with improvement estimates, at https://github.com/python/cpython/issues/115802

After that, with the basics of software engineering understood, I would move on to a wider use language, with a bigger ecosystem to employ, most likely Python. This would expose me to large system design / distributed systems and architectural challenges...

Have you ever felt like your photos needed a little extra touch to stand out? Well, get ready because we're about to learn a cool Python trick! We're going to take ordinary photos and turn them into awesome pencil sketches using Python and OpenCV. This will make your pictures look like they were drawn by hand!