Steinam's repositories
programming
Code a program in a language of your choice.
awesome-courses-1
List of free online programming/CS courses [Massive Open Online Courses]
sphinx_travis_demo
Austesten des Travis-Build für Sphinx-Projekte
Exercises.Day2
Exercises and solutions for the second day.
17_11FI1_AWP_STE
Unterichtsmaterial für die Klasse 11Fi1
pandas_exercises
Practice your pandas skills!
docker-pandoc
:whale: Docker container for Pandoc with XeLaTeX
first-python-notebook
A step-by-step guide to analyzing data with Python and the Jupyter Notebook.
teacher
my public repo
ci_ecommerce
david connelly
ipywidgets
IPython widgets for the Jupyter Notebook
bqplot
Plotting library for IPython/Jupyter Notebooks
Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
pandas-cookbook
Recipes for using Python's pandas library
data-science-ipython-notebooks
Recently updated with 50 new notebooks! 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.
talks
IPython notebooks and slides for talks I've given
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
SciPy-2012-Time-Series-Pandas
Files from the SciPy 2012 Time Series Data Analysis with Pandas Tutorial
python_reference
Useful functions, tutorials, and other Python-related things
free-data-science-books
Free resources for learning data science
DataScienceResources
Open Source Data Science Resources.
docker-curriculum
:dolphin: A comprehensive tutorial on getting started with Docker!
awesome-courses
:books: List of awesome university courses for learning Computer Science!
Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
pandas_tutorial
Pandas tutorial for SciPy2015 and SciPy2016 conference