Name: Valentin Danchev
Type: User
Company: Queen Mary University of London, School of Business and Management
Bio: Lecturer (Assistant Professor) in Business Analytics at Queen Mary University of London and a Fellow of the Software Sustainability Institute
Twitter: valdanchev
Location: UK
Blog: valdanchev.github.io
Valentin Danchev's Projects
Code for 'The Art of Statistics'
Automated Replications: Scalable, Rapid, and Updating — Crowdsourcing of Literature
A curated list of awesome Jupyter projects, libraries and resources
Repository for code and notebooks for the a NetworkX Tutorial
Lightning talk presentation for Collaborations Workshop 2022 (CW22) https://www.software.ac.uk/cw22
Worksheets to accompany Data Science: A First Introduction
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Demo notebook with DOI data access and interactive plotting
Dynamic documents with Jupyter Notebook for reproducible workflows
Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma
Geographic Data Science'18
A template for a gh-pages hosted syllabus
Self-guided tutorial on combinatorial optimization, the bin packing problem, and constructive heuristics, suitable for use as course assignments, or by self-directed learners.
Jupyter for Reproducible Research
Python 2.7.12 package for the econometric analysis of network data
Network Science with Python and NetworkX Quick Start Guide, published by Packt
Open Collaborations is a Mozilla Open Leaders Project
Code repository for O'Reilly book
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python Data Science Handbook: full text in Jupyter Notebooks
Reproducible Data Science with Python
Pandas tutorial for SciPy 2019
Materials for my scikit-learn tutorial
Statistical Data Analysis in Python
Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Repository for my personal webpage https://valdanchev.github.io