Sun.Oct 17, 2021

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Introduction to Matplotlib using Python for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Matplotlib If you are interested in data analytics or data visualization you are at the right place to get started. So let’s start with the simple introduction about, Data visualization which is the process of translating the numbers, text, or large data […].

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PASS Summit & Orlando Live! Sessions

Paul Turley

There e are two conferences in November where I am thrill to be presenting sessions. The second annual PASS Data Community Summit is on November 8-12. Like last year, this is an online event and IT IS FREE! I will be presenting a session titled Power BI Paginated Reports: the New Old Operational Reporting Platform.

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A Complete Explainer on Waterfall Chart

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The waterfall chart is a 2-Dimensional chart that is specially used to understand the effects of incremental positive and negative changes over time or over multiple steps or a variable. The waterfall charts are also known as Floating Bricks Charts, Flying Bricks Charts. […].

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An Explanation to Python’s Lambda, Map, Filter and Reduce

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Hola folks. Have you ever got confused in Python’s Lambda, Map, Filter, and Reduce? Huh? No worries, I’ve got you covered. In this article, we will be clearing all the confusion you might have had. Specifically, after reading this article, you will know: […].

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Word processing for Natural Language Processing in Julia!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Julia is a programming language that is famous not only because of its friendly environment but also due to its in-built packages, which make NLP very easy. You all might remember the long python codes we use for data cleaning, string comparisons, data […]. The post Word processing for Natural Language Processing in Julia!

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Scraping Flipkart Data using Python: Web scraping Tutorial

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Imagine collecting all the required information from a website with just a few lines of Python codes! Yes, it’s possible by using Python libraries such as Beautiful Soup and Requests. This article will be the step by step guide which will be useful […]. The post Scraping Flipkart Data using Python: Web scraping Tutorial appeared first on Analytics Vidhya.