Subcategories

A Pythonista’s Guide to the Julia Language for Data Science

Posted By: FenixN
A Pythonista’s Guide to the Julia Language for Data Science

A Pythonista’s Guide to the Julia Language for Data Science
HDRips | MP4/AVC, ~141 kb/s | 1280x720 | Duration: 00:21:25 | English: AAC, 128 kb/s (2 ch) | 42 MB
Genre: Development / Programming

This video provides a brief introduction to using Julia for data science. Zack explains the benefits of Julia including most importantly the simplicity of coding without the sacrificing of performance. Learn how Julia compares to other languages including Python, Fortran, and C. Learn about the packages available in Julia and the pre-requisites to quickly picking up the language, including the importance of at least some knowledge of object-oriented (OO) paradigms. Get a basic understanding of REPL along with Julia commands and common types. We touch on IDEs and note the best one for data science applications (Jupyter). We briefly explain Stats in Julia including StatsBase, MultivariateStats, and StatsFuns. We discuss machine learning and plots along with their packages. We conclude with an overview of resources to learn more about the language.

screenshot
A Pythonista’s Guide to the Julia Language for Data Science

A Pythonista’s Guide to the Julia Language for 			  		   	  			     	 			   		  	   		      		 			  	 			   		  	   		  		  			     	 			   		   	  		 		   			  				 Data Science

Welcome to the best eLearning video (English, German, French, Spanish language) and many more: LINK
Do not forget to check my blog! Updated regularly! Add in bookmarks my blog :)
PM me if Links not working!

No mirrors pls!