gudnm / codekatas
Keep your skills sharp by implementing basic algorithms and data structures
☆109Updated 8 years ago
Alternatives and similar repositories for codekatas:
Users that are interested in codekatas are comparing it to the libraries listed below
- This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, comp…☆177Updated 5 years ago
- Programming Exercises☆77Updated 9 years ago
- Introductory Statistical Inference☆142Updated last year
- A repository with IPython notebooks of algorithms implemented in Python.☆509Updated 7 years ago
- ☆52Updated 7 years ago
- Code for my OSCON 2015 talk☆83Updated 9 years ago
- Collection of jupyter notebooks☆154Updated last year
- SciPy 2017 Pandas Tutorial☆161Updated 4 years ago
- General Assembly's Data Science course in Washington, DC☆232Updated 9 months ago
- Code material for a data science tutorial☆197Updated 7 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆127Updated 8 years ago
- PyCon 2015☆141Updated 3 years ago
- Workshop: Intro to Python for Data Analysis☆72Updated 10 years ago
- Default Repo description from terraform moduleUpdated 3 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 7 years ago
- IPython Notebooks to learn Python☆390Updated 4 years ago
- ☆86Updated 6 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 3 years ago
- My talk at Strata 2014 in Santa Clara, CA☆73Updated 11 years ago
- Guide explaining and implementing fundamental machine learning algorithms in Python☆171Updated 6 years ago
- WORK UNDER RESTRUCTURING☆41Updated last month
- Simple demo of how the blockchain works☆42Updated 7 years ago
- Tutorial on "Efficient Python for High-Performance Computing"☆121Updated 3 weeks ago
- ☆62Updated 8 years ago
- A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering☆24Updated 5 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆223Updated 4 years ago
- Python solutions for the book Cracking the Coding Interview☆122Updated 13 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆36Updated 5 years ago
- Default Repo description from terraform module☆1Updated 3 years ago