A while back I ran across a paper [1] giving a trick for evaluating integrals of the form where M…

Continue Reading# large

## Making public keys factorable with Rowhammer

The security of RSA encryption depends on the fact that the product of two large primes is difficult to factor.…

Continue Reading## Applications of MCMC for Cryptography and Optimization

~10²⁶ permutations. That is a pretty large number and thus this problem has a large state space(Essentially a large number…

Continue Reading## Diving into Google’s Landmark Recognition Kaggle Competition

{} ;This step effectively reduces the 500+ gigabyte training set to ~50 gigabytes. Much more usable. More importantly, I already…

Continue Reading## Network Science & Threat Intelligence with Python: Network Analysis of Threat Actors/Malware Strains (Part 1)

And more specifically, threat intelligence?Well, we plot hundreds and thousands of attributes and relationships within threat intelligence. The amount of…

Continue Reading## Uploading Large Files to GitHub

Uploading Large Files to GitHub3 ways to avoid getting error messages during uploadEden AuBlockedUnblockFollowFollowingMay 25Photo by Jay Wennington on UnsplashGitHub has a strict…

Continue Reading## Learning About Git Large File System (LFS)

That is where Git LFS comes in. What is Git Large File Storage (LFS)?Git LFS logo from Atlassian: https://wac-cdn. atlassian. com/dam/jcr:83e62b1a-36ee-4fc1-82de-7a06640f7c87/hero.…

Continue Reading## How To Make Python Faster

How To Make Python FasterFollow These Quick Wins To Make Python Run FasterFarhad MalikBlockedUnblockFollowFollowingMay 18Python is too slow, often people complain. But…

Continue Reading## Small companies deserve Data Science

Small companies deserve Data ScienceFilipe RigueiroBlockedUnblockFollowFollowingFeb 28Much of the focus and attention on data science, machine learning (ML), and artificial intelligence…

Continue Reading## 提升 pandas 80% 效率秘訣大公開

提升 pandas 80% 效率秘訣大公開張憲騰BlockedUnblockFollowFollowingApr 18在上一篇文章：用記憶體講解 python list 為何比較慢我們知道了記憶體的觀念，也解釋了為何大量的數字運算盡量使用 numpy。但 numpy 也不見得那麼好用，且 python 的優勢無法在這個套件內體現，因此，偉大的工程師們寫出了一個基於 numpy 建構，又可以擁有好的資料處理特性的套件 — pandas。此時這已經解決我們大部分的效能問題，只是如果又遇到更大的資料，我們可以如何優化 Pandas呢？這邊你會看到Pandas 是如何運用 Numpy 提高效能的我們還能運用什麼方式幫助 Pandas 讓他跑得更快(如果不想看方法論可以直接滑到底看結論)ps.…

Continue Reading## Ankit Pokhrel????????

Resumable file upload in PHP: Handle large file uploads in an elegant wayEver struggled with large file upload in PHP?.Wondered if…

Continue Reading## Why and How to Use Pandas with Large Data

Why and How to Use Pandas with Large DataBut Not Big Data…Admond LeeBlockedUnblockFollowFollowingNov 3, 2018Pandas has been one of the most popular…

Continue Reading## Sam Wilkinson

The Python DreamteamAs a Data Scientist, I code almost entirely in Python. Using the pipenv/pyenv…Progress Bars in PythonWhen dealing with large…

Continue Reading## How fast can you multiply really big numbers?

Using the algorithm you learned in elementary school, it takes O(n²) operations to multiply two n digit numbers. But for…

Continue Reading## Article | “Bank of America Merrill Lynch has become the latest bank to implement AI”

Source: Business Insider Author: Maria Terekhova Bank of America Merrill Lynch (BAML) has revealed that it is implementing enterprise software fintech HighRadius’…

Continue Reading## RSA with one shared prime

The RSA encryption setup begins by finding two large prime numbers..These numbers are kept secret, but their product is made…

Continue Reading## What Is Dimension Reduction In Data Science?

Zipping the file compresses large quantity of data into smaller equivalent sets.Dimension reduction is the same principal as zipping the data.Dimension…

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