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Python Vulnerability In The Tarfile Module (Cve-2007-4559) Affects More Than 350,000 Projects

A Python vulnerability discovered in the tarfile module impacts hundreds of thousands of open source projects, posing supply chain security concerns, according to Trellix. CVE-2007-4559, the Python vulnerability, was discovered in 2007 and is still present in the tarfile module. The Trellix Advanced Research Center uncovered the route traversal attack

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Python For Data Engineers
Data ScienceContributorsFeaturedResources

Python is one of the most popular programming languages worldwide. It often ranks high in surveys: for instance, it claimed the first spot in the Popularity of Programming Language index and came second in the TIOBE index. The chief focus of Python was never web development. However, a few years ago, software engineers realized

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How To Get Started In Ai Development
Artificial IntelligenceData ScienceFeaturedTopics

Artificial intelligence is becoming crucial for businesses that want to compete and survive. In fact, if you’re not using AI in 2021, there’s a good chance you lose out to your competitors. Of course, that makes AI development a highly sought after career, as more companies need to hire skilled

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What Is The Real Difference Between Data Science And Software Engineering Teams?
BI & AnalyticsData ScienceFeatured

Although there are lots of similarities across Software Development  and Data Science , they also have three main differences: processes, tooling and behavior. Find out. In my previous  article, I  talked about model governance and holistic model management. I received great response, along with some questions about the differences between

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First Speakers Announced For Data Natives 2018, The Tech Conference Of The Future
Artificial IntelligenceBig DataData ScienceEventsFeaturedMachine LearningNews

Preparations are well underway for the 2018 edition of Data Natives– the data driven conference of the future, hosted in Dataconomy’s hometown of Berlin. Data Natives brings together a global community of data-driven pioneers to explore the technologies that are shaping our world- from big data to blockchain, from AI

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Deduplicating Massive Datasets With Locality Sensitive Hashing
Data ScienceMachine Learning

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Matti Lyra and other experts will be giving talks

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Frequency Distribution Analysis Using Python Data Stack - Part 2
Data ScienceResources

This is the continuation of the Frequency Distribution Analysis using Python Data Stack – Part 1 article. Here we’ll be analyzing real production business surveys for your review. Application Configuration File The configuration (config) file is shown in Code Listing 3. This config file includes the general settings for

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Frequency Distribution Analysis Using Python Data Stack – Part 1
Data ScienceResources

During my years as a Consultant Data Scientist I have received many requests from my clients to provide frequency distribution reports for their specific business data needs. These reports have been very useful for the company management to make proper business decisions quickly. In this paper I would like to

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Big Data Analysis
Big DataData ScienceResources

Introduction A couple of months ago a client of mine asked me the following question: “What is the faster data structure object in Python for Big Data analysis today?” I get questions like this one all the time. Some of them are not easy to solve at all and it

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How To Transform Your Business With Artificial Intelligence
Artificial IntelligenceData ScienceEventsMachine LearningUnderstanding Big Data

Ajit Jaokar is a leading expert working at the intersection of Data Science, IoT, AI, Machine Learning, Big Data, Mobile, and Smart Cities. He teaches IoT and Data Science at Oxford and also is a director of Smart Cities Lab in Madrid. Ajit’s work involves applying machine learning techniques to

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