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Difference Between NumPy vs Pandas

U-Next

Due to their easy language and greater matrix calculation capabilities, NumPy and Pandas have established themselves as important tools for any science computing in Python, including machine learning. Pandas is a term used to describe an accessible library that provides greater database operations. Data Objects in Pandas vs NumPy.

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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

Flink SQL combines the performance and scalability of Apache Flink, a popular distributed streaming platform, with the simplicity and accessibility of SQL. With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. Citations. [1]

SQL 98
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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

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How to Train Tesseract OCR in Python?

ProjectPro

Source: Analyticsvidhya Tesseract is one of the most widely used and open-source OCR tools developed by Hewlett-Packard (HP) Labs for the data science industry in the 1990s and later released as open-source in 2005. Tesseract is available in multiple languages; it supports more than 100 languages, including right-to-left languages.

Python 52