In [1]:
!curl -o thw.txt http://stuartgeiger.com/thw.txt
!head -5 thw.txt
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1862 100 1862 0 0 5917 0 --:--:-- --:--:-- --:--:-- 10402
Navigating bash and UNIX
Machine learning with Neural Networks using Keras.io
Git and GitHub
Data Tidying in RR & Python
Ensemble (Machine) Learning with Super Learner and H2O in RR
In [2]:
with open('thw.txt') as f:
text = f.read()
In [3]:
text.split("\n")
Out[3]:
['Navigating bash and UNIX',
'Machine learning with Neural Networks using Keras.io',
'Git and GitHub',
'Data Tidying in RR & Python',
'Ensemble (Machine) Learning with Super Learner and H2O in RR ',
'RRStudio ',
'Thanksgiving ',
'Machine learning with scikit-learn',
'Matplotlib ',
'Physical Computing ',
'The Python Olympics ',
'Parallelization in Python ',
'Natural Language Processing for Python with NLTK ',
'Git and Github ',
'Github Pages and Jekyll ',
'Machine Learning for Kaggle Competitions with RR ',
'The Bash Olympics ',
'What To Learn and Teach ',
'D3.js ',
'Tableau ',
'Build Systems ',
'Cython ',
'Python For Plotting Timeseries & 3D Data ',
'matplotlib ',
'Handling and Visualizing Geospatial Data ',
'Python Metaprogramming & Conversion to Python 3 ',
'Julia ',
'Scraping Wikipedia Data ',
'Pandas ',
'LaTeX ',
'High Performance Python ',
'scikit-learn',
'scikit-learn',
'Advanced Python ',
'GPUs and Parallelization ',
'Webscraping ',
'Free-form hacking',
'Pandas ',
'Spark and Hadoop ',
'Visualization ',
'Advanced Git and GitHub ',
'Introductory Git and GitHub ',
'Shiny ',
'Make ',
'C++ and Object Orientation ',
'Microcontrollers ',
'Julia ',
'RR ',
'Computer Architectures ',
'Testing ',
'Matplotlib and Seaborn ',
'IPython ',
'Advanced Git ',
'Text Editors ',
'Parallel Programming ',
'The Shell and The Filesystem Hierarchy Standard ',
'What Do You Want To Learn and What Can You Teach ',
'Nuclear Data and Advanced Cython ',
'ORIGEN and Open Source',
'Cython and the Python C/API ',
'Jekyll ',
'MocDown and Pyne Install ',
'MocDown and Python Threading ',
'Numpy Vectorization and Python Logging ',
'HPC Module Installation and Plotting Tools ',
'PARCS and RadWatch (without the physics) ',
'When and Where Survey',
'Serpent and LaTeX ',
'CRAM and imagemagick ',
'Computational Nuclear Engineering Overview & Bash ',
'LaTeX ',
'So You Have A Software',
'Packaging and Distribution ',
'Emailing with Python ',
'Raspberry Pi Hacking ',
'Testing Part II ',
'Testing ',
'IPython ',
'Makefiles ',
'Self Documenting Code ',
'Intro to Git Part II ',
'Intro to Git ',
'GPUs and CUDA ',
'Bash ',
'']
In [ ]:
Content source: BIDS/repro-lexicon-analysis-public
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