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🖐 Million Lines of Code — Information is Beautiful

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How many millions of lines of code does it take to make the modern program, web service, car, or airplane possible? The range is extraordinary: the average iPhone app has less than 50,000 lines of code, while Google’s entire code base is two billion lines for all services.
Predict malignancy in cancer tumors with your own neural network built from scratch in Python. Understand the keys of deep learning in 100 lines of code.
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Algorithmic trading in less than 100 lines of Python code. If you're familiar with financial trading and know Python, you can get started with basic algorithmic trading in no time.
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Decentralized, offline-first, cmd-line chat app in 100 lines of code Here’s the quickest way to build an offline-first chat app for Nodejs. Carson Farmer Blocked Unblock Follow Following.
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100 Prisoners, 100 lines of code « Probability and statistics blog 100 lines of code

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How many millions of lines of code does it take to make the modern program, web service, car, or airplane possible? The range is extraordinary: the average iPhone app has less than 50,000 lines of code, while Google’s entire code base is two billion lines for all services.
A modern high-end car features around 100 million lines of code, and this number is planned to grow to 200-300 millions in the near future (see an old but famous IEEE Spectrum article at http.
Build an SMS queueing system using Azure and 100 lines of code This year, for Silicon Valley Code Camp (SVCC) we partnered with organizer Peter Kellner to build an SMS-powered session change notification system that would alert attendees to sessions that had to be canceled or moved to a different room.

starburst-pokie100 Prisoners, 100 lines of code « Probability and statistics blog 100 lines of code

100 Prisoners, 100 lines of code « Probability and statistics blog 100 lines of code

Of course, every engineer knows that "lines of code" is a silly measure, and besides, the lines of code we are counting here are much less complex than the code written by professional software engineers. No software engineer measures the value or their work in lines of code.
smallpt: Global Illumination in 99 lines of C++ Kevin Beason / . smallpt is a global illumination renderer. It is 99 lines of C++, is open source, and renders the above scene using unbiased Monte Carlo path tracing (click for full size).
Photo by Fabian Grohs on Unsplash. I’ve noticed that coding is repetitive in nature and sometimes we just have to write the same code in 10 different lines. The format of HTML is too tedious to repeat, especially when you’ve to deal with it on a day-to-day basis.

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100 lines of code Algorithmic trading in less than 100 lines of Python code If you're familiar with financial trading and know Python, you can get started with basic algorithmic trading 100 lines of code no time.
Business source: to learn more about analyzing financial data with Python.
Algorithmic Trading Algorithmic trading refers to the computerized, automated trading of financial instruments based 100 lines of code some algorithm or rule with little or no human intervention during trading hours.
Almost any kind of financial instrument — be it stocks, currencies, commodities, credit products or volatility — can be traded in such a fashion.
The books by Scott Patterson and by Sebastian Mallaby paint a vivid picture of the beginnings of algorithmic trading and the personalities behind its rise.
The barriers to entry for algorithmic trading have never been lower.
Not too long ago, only institutional investors with IT budgets in the millions of dollars could take part, but today even individuals equipped only https://casinos-money-bonus.website/100/play-100-free-slots.html a notebook and an Internet connection can get started within minutes.
This article shows you how to implement a complete algorithmic trading 100 lines of code, from the strategy to performing automated, real-time trading.
Moskowitz, Tobias, Yao Hua Ooi, and Lasse Heje Pedersen 2012 : "Time Series Momentum.
The following assumes that you have a Python 3.
If not, you should, for example, download and install the.
Oanda Account Atanyone can register for a free demo "paper trading" account within minutes.
Once you have done that, to access the Oanda API programmatically, you need to install the relevant Python package: pip install oandapy To work with the package, you need to create a configuration file with filename oanda.
Backtesting We have already set up everything needed to get started with the backtesting of the momentum strategy.
In particular, we are able to retrieve historical read more from Oanda.
The first step in backtesting is to retrieve the data and to convert it to a pandas DataFrame object.
The data set itself is for the two days December 8 and 9, 2016, and has a granularity of one minute.
The output at the end of the following code 100 lines of code gives a detailed overview of the data set.
It is used to implement the backtesting of the trading strategy.
For example, the mean log return for the last 15 minute bars gives the average value of the last 15 return observations.
Among the momentum strategies, the one based on 120 minutes performs best with a positive return of about 1.
In principle, this strategy shows "real ": it generates a positive return even when the instrument itself shows a negative one.
Automated Trading Once you have decided on which trading strategy to implement, 100 lines of code are ready to automate the trading operation.
To speed up things, I am implementing the automated trading based on twelve five-second bars for the time series momentum strategy instead of click here bars as used for backtesting.
The automated trading takes place on the momentum calculated over 12 intervals of length five seconds.
The class automatically stops trading after 250 ticks of data received.
This is arbitrary but allows for a quick demonstration of the MomentumTrader class.
All example outputs shown in this article are based on a demo account where only paper money is used instead of real money to simulate algorithmic trading.
To move to a live trading operation with 100 lines of code money, you simply need to set up a real account with Oanda, provide real funds, and adjust the environment and account parameters used in the code.
The code itself does not need to be changed.
Conclusions This article shows that you can start a basic algorithmic trading operation with fewer than 100 lines of Python code.
In principle, all the steps of such a project are illustrated, like retrieving data for backtesting purposes, backtesting click at this page momentum strategy, and automating the trading based on a momentum strategy specification.
The code presented provides a starting point to explore many different directions: using alternative algorithmic trading strategies, trading alternative instruments, trading multiple instruments at once, etc.
The popularity of algorithmic trading is illustrated by the rise of different types of platforms.
For example, — a web-based and Python-powered backtesting platform for algorithmic trading strategies — reported at the end of 2016 that it had attracted a user base of more than 100,000 people.
Online trading platforms like Oanda or those for cryptocurrencies such as allow you to get started in real markets within minutes, and cater to thousands of active traders around the globe.
Hilpisch is founder and managing partner of The Python Quants, a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading, and computational finance.
He is also founder and CEO 100 lines of code The AI Machine, a company focused on harnessing the power of artificial intelligence for algorithmic trading via a proprietary strategy execution platform.
He is the author of two other books: Derivatives Analytics with Python Wiley, 2015 and Listed Volatility and Variance Derivatives.
© 2019 O'Reilly Media, Inc.
All trademarks and registered trademarks appearing on oreilly. 100 lines of code 100 lines of code 100 lines of code 100 lines of code 100 lines of code 100 lines of code

Writing 100 lines of code in 10 seconds



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If the average programmer writes about 50 lines of production code a day. A 50,000 line program would take 1,000 man days to produce. The 50,000 line listing can be entered by a programmer at.
Predict malignancy in cancer tumors with your own neural network built from scratch in Python. Understand the keys of deep learning in 100 lines of code.
This is why I will go through a simple blockchain just in 100 lines of code called Chainpro. I usually do that to get better understanding how things work under the hood, so feel free to check the “Flux architecture in 30 lines of code” called Flypro and “Virtual DOM in 50 lines of code” which is Dompro as well. Architecture

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