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Data_Visualization_with_Python_and_JavaScript_Scrape,_Clean,_Explore.epub
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Data Visualization with Python and JavaScript Scrape, Clean, Explore Transform Your Data.epub

+ Learn how to manipulate data with Python
+ Understand the commonalities between Python and JavaScript
+ Extract information from websites by using Python’s web-scraping tools, BeautifulSoup and Scrapy
+ Clean and explore data with Python’s Pandas, Matplotlib, and Numpy libraries
+ Serve data and create RESTful web APIs with Python’s Flask framework
+ Create engaging, interactive web visualizations with JavaScript’s D3 library



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Data Visualization with Python and JavaScript Scrape, Clean, Explore Transform Your Data.epub

+ Learn how to manipulate data with Python
+ Understand the commonalities between Python and JavaScript
+ Extract information from websites by using Python’s web-scraping tools, BeautifulSoup and Scrapy
+ Clean and explore data with Python’s Pandas, Matplotlib, and Numpy libraries
+ Serve data and create RESTful web APIs with Python’s Flask framework
+ Create engaging, interactive web visualizations with JavaScript’s D3 library

BY Python 🐍 Work With Data


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Python Work With Data Telegram | DID YOU KNOW?

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A project of our size needs at least a few hundred million dollars per year to keep going,” Mr. Durov wrote in his public channel on Telegram late last year. “While doing that, we will remain independent and stay true to our values, redefining how a tech company should operate.

Mr. Durov launched Telegram in late 2013 with his brother, Nikolai, just months before he was pushed out of VK, the Russian social-media platform he founded. Mr. Durov pitched his new app—funded with the proceeds from the VK sale—less as a business than as a way for people to send messages while avoiding government surveillance and censorship.

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