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Showing posts from September, 2019

CyberChef - The Developer's Ultimate Toolbox

Encoding, encrypting and converting data formats, open source and collected under one roof inside the browser and all thanks to GCHQ - yes, a government intelligence agency. Are all government agencies falling in love with GHitHub and open sourcing their tools? Of course the recent and hottest headlines belong to NSA's release of its reverse engineering tool Ghidra,but this latest offering from the UK's Government Communications Headquarters (GCHQ) should not go unnoticed or be underestimated. full article on i-programmer

Kite - AI Powered Auto Completion for Python

Productivity is not just associated with saving keystrokes but it comes from making smart suggestions too. This is something that Kite does with its new AI-powered Intelligent Snippets. I discovered Kite back in 2017 and presented its capabilities in Kite - Smart Copilot For Programmers. Today's news is that it's been updated with AI capabilities, which I'm going to go through after a quick refresher about what this tool is and what is can do for you. Kite is a plugin for your IDE that acts as a coding "copilot", likened to the buddy with whom you do peer coding. Kite integrates with your favorite editor and monitors your typing in order to display highly relevant information. For example, Kite unveils Python packages or function signatures as you type:
full article on i-programmer

All You Wanted To Know About AI From DeepMind

The DeepMind podcast is hosted Dr Hannah Fry and attempts to give answers to the most frequently encountered questions about Artificial Intelligence. Dr Fry is a widely known mathematician, scientist, broadcaster and YouTuber (see the You Tube Numberphile channel amongst others). In thse prodcats she chats with DeepMind engineers and researchers to: "explore topics such as the link between neuroscience and AI, why we use games in our research, building safe AI and how AI can be used to solve scientific problems". Commencing on August 20th, the first 5 parts in this 8 part series have already been published:
full article on i-programmer

Can Regular Expressions Be Safely Reused Across Languages?

That is, can I reuse a regular expression crafted in JavaScript verbatim in Python? In doing so, will I get the same results and performance? Enter your languages of interest in place of JavaScript and Python, the question remains the same.  It is a not well kept secret that programmers are huge fans of copying and pasting code snippets, regular expressions included, that are freely available across the web. But unlike copying and pasting code within the boundaries of the same programming language, does copying a regular expression that was crafted in one language into another work as assumed, or would it introduce errors, both semantically and in performance? "Why Aren’t Regular Expressions a Lingua Franca? An Empirical Study on the Re-use and Portability of Regular Expressions" is a paper that attempts to shed light on the question: are regular expressions truly portable?
full article on i-programmer.info