Name			Followers
	atoti	atoti is a BI analytics platform combining a python library and a web application helping Quants, Data Analyst, Data Scientist and Business Users to collaborate, analyze and translate their data into business KPIs. It’s free! Check it out https://atoti.io	176
	Blog - Profil Software, Python Software House With Heart and Soul, Poland	Read about Web (& Mobile) App Development using Python (Django, Flask, Pyramid), JS (Angular, React) and Agile (Scrum, Kanban). Tips and Tricks	170
	TEJ-API 金融資料分析	新手上路|Rookie / 資料科學|Data Analysis / 量化分析|Quant / 實戰手冊|Application	166
	HiredScore Engineering	Creative engineers and data scientists telling stories about the engineering behind HiredScore. Join us! https://hiredscore.com/jobs	148
	Django & Rest	Django & Django Rest Framework	142
	Devyx	Delivering insights into Tableau Server automation and data visualization.	141
	AlmaBetter	Your home for data science. Concepts, ideas, codes and blogs from students of AlmaBetter. We are building the next-gen AI ecosystem https://www.almabetter.com	126
	Kurio Toolbox	Engineering-related notes from your friendly neighbor, Kurio	125
	The Polyglot Programmer	Software Engineering, Coding, Algorithms, Tutorials and anything technology related.	124
	programming-hacks	Programming adventures in python, java, javascript	123
	Python Geek	Tips and recipes for better Python programming	123
	Explorations in Python	Practical and useful projects and tutorials in the Python programming language	114
	EdibleSec	Easily consumable information security stories :: https://ediblesec.com	112
	hackgenius	When Curious is ready for inspiration, Imagination engages talent; When Talent meets opportunity, Community facilitates a hackathon; When a Hack delivers a diamond-in-the-rough, a privileged Genius is to be had; The world needs your contribution, so come hack your genius NOW!	111
	Machine Learning Algorithms from scratch	This publication is a group of important Machine learning algorithms which are implemented from scratch in Python. Maths behind every frequently used machine learning algorithm is discussed and made easy.	106