Encrypted Portals: How We Created a Swift App That Uses Rust

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The Big Pitch with Jimmy Carr

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Romesh Ranganathan Pitches a Tearjerker with a Curse, a Meet Cute, and an Orangutan! 33:06

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33:06

Our guest this week is Romesh Rangathan! And his subgenre is… BRB Crying. Will Romesh deliver a beautiful and moving film pitch that makes Jimmy break down crying? Or will his idea be a fever dream of orangutans, ancient curses and having sex in front of animals? Listen in to find out! Listen on all podcast platforms and watch on the Netflix is a Joke YouTube Channel. The Big Pitch is a co-production by Netflix and BBC Studios Audio. Jimmy Carr is an award-winning stand-up comedian and writer, touring his brand-new show JIMMY CARR: LAUGHS FUNNY throughout the USA from May to November this year, as well as across the UK and Europe, before hitting Australia and New Zealand in early 2026. All info and tickets for the tour are available at JIMMYCARR.COM Production Coordinator: Becky Carewe-Jeffries Production Manager: Mabel Finnegan-Wright Editor: Stuart Reid Producer: Pete Strauss Executive Producer: Richard Morris Executive Producers for Netflix: Kathryn Huyghue, Erica Brady, and David Markowitz Set Design: Helen Coyston Studios: Tower Bridge Studios Make Up: Kit Hall Cameras: Daniel Spencer Sound: Charlie Emery Branding: Tim Lane Photography: James Hole Images supplied via Getty Images…

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This story was originally published on HackerNoon at: https://hackernoon.com/encrypted-portals-how-we-created-a-swift-app-that-uses-rust.
How the Portals for Mac app, built in Swift, uses the Ockam Rust library to privately share services with your friends over End-to-End Encrypted Portals.
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #ockam-rust-library, #portals-mac-app, #ockam-portals, #portals-for-mac, #macos-native-experience, #swift-and-rust-integration, #rust-data-structures, #good-company, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.
This story was written by: @ockam. Learn more about this writer by checking @ockam's about page, and for more stories, please visit hackernoon.com.
How the Portals for Mac app, built in Swift, uses the Ockam Rust library to privately share services with your friends over End-to-End Encrypted Portals.

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Encrypted Portals: How We Created a Swift App That Uses Rust

Programming Tech Brief By HackerNoon

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-scrape-data-off-wikipedia-three-ways-no-code-and-code . Get your hands on excellent manually annotated datasets with Google Sheets or Python Check more stories related to programming at: https://hackernoon.com/c/programming . You can also check exclusive content about #python , #google-sheets , #data-analysis , #pandas , #data-scraping , #web-scraping , #wikipedia-data , #scraping-wikipedia-data , and more. This story was written by: @horosin . Learn more about this writer by checking @horosin's about page, and for more stories, please visit hackernoon.com . For a side project, I turned to Wikipedia tables as a data source. Despite their inconsistencies, they proved quite useful. I explored three methods for extracting this data: - Google Sheets: Easily scrape tables using the =importHTML function. - Pandas and Python: Use pd.read_html to load tables into dataframes. - Beautiful Soup and Python: Handle more complex scraping, such as extracting data from both tables and their preceding headings. These methods simplify data extraction, though some cleanup is needed due to inconsistencies in the tables. Overall, leveraging Wikipedia as a free and accessible resource made data collection surprisingly easy. With a little effort to clean and organize the data, it's possible to gain valuable insights for any project.…

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This story was originally published on HackerNoon at: https://hackernoon.com/keyword-based-anomaly-detection-in-log-files . Spring-based suites are utilized to build a log anomaly detection system. This is a three-part series, with the foundation components covered in the first part. Check more stories related to programming at: https://hackernoon.com/c/programming . You can also check exclusive content about #spring-boot , #cybersecurity , #anomaly-detection , #spring-statemachine , #spring-webflux , #java , #threat-detection , #anomaly-detection-in-log-files , and more. This story was written by: @cybersreejith . Learn more about this writer by checking @cybersreejith's about page, and for more stories, please visit hackernoon.com . Spring-based suites such as Spring Web Flux and Spring SSM are utilized to build a log anomaly detection system. This is a three-part series, with the foundation components covered in the first part. The subsequent parts will extend these components to enhance flexibility and robustness."…

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Encrypted Portals: How We Created a Swift App That Uses Rust

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Encrypted Portals: How We Created a Swift App That Uses Rust