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2008
2009
2010
2011
2012
2013
2014
20140715-data_and_truth
20141007-emacs_python
20141023-rjstat_lightning
20141101-functional_javascript
20141107-a_true_and_delightful_incident
20141117-well_used_simple_tools
20141125-alan_kay_on_big_data
20141129-ruby_symbols_are_not_lisp_symbols
20141207-make_it_easy_to_install_emacs
20141215-please_stop_saying_big_data
20141220-dc_voter_registration_data
20141225-how_does_r_calculate_histogram_break_points
20141229-calendar_plots_should_be_easy
20141230-use_info_in_emacs
20141231-two_problems_with_learn-to-code_sites
20150101-learn_to_code_with_emacs
20150111-a_great_python_book_explains_hash_tables
20150119-gog_a_separate_layer_for_visualization
20150120-use_pew_not_virtualenvwrapper_for_python_virtualenvs
20150125-monads_by_diagram
20150126-to_migrate_from_github_to_bitbucket
20150212-split_testing
20150220-data_science_isnt_magic
20150221-rstudio_in_a_web_browser
20150417-negative_r_squared
20150423-forward_selection_with_statsmodels
20150425-two_highlights_from_ny_r_conference_2015
20150425-working_with_captured_variables_in_python_closures
20150514-mergic
20150520-practical_mergic
20150522-chains
20150524-tfidf_is_about_what_matters
20150530-practical_mergic_at_odsc
20150607-textblob_sentiment
20150610-a_javascript_perceptron
20150614-the_nvidia_jetson_tk1_with_caffe_on_mnist
20150616-code_reading_question
20150705-dont_shoot_the_dog
20150907-interactive_perceptron_training_toy
20151112-creative_data_science
20151118-debugging_teams
20151122-a_new_culture_of_learning
20151122-lauren_ipsum
20151129-see_sklearn_trees_with_d3
20151206-how_to_eat_computers
20151214-hearing_data_with_sonic_histograms
20151231-juggling_for_programmers
20160207-talk_like_ted
20160209-how_i_blog
20160215-moments_of_impact
20160320-books_for_professionals
20160322-books_for_programmers
20160327-mindstorms
20160417-equivalences_between_tables_maps_graphs_and_sets
20160427-simple_isnt_easy
20160528-old_article_for_the_cardinal
20160531-a_machine_to_foretell_the_future
20160609-your_favorite_class
20160619-writing_with_oreilly
20160620-hello_tensorflow_just_the_code
20160629-presenting_hello_tensorflow
20160703-conferences_what_is_the_deal
20160707-icml_2016
20161005-presenting_hello_tensorflow_again
20170216-omegago
20170311-does_tensorflow_suffer_from_the_second_system_effect
20170312-use_only_what_you_need_from_tensorflow
20170313-tensorflow_use_of_google_technologies
20170314-command_line_apps_and_tensorflow
20170315-tensorflow_and_a_googleverse_like_the_hadleyverse
20170318-much_ado_about_the_tensorflow_logo
20170319-thank_you_for_reaching_out
20170320-tensorflow_apis_for_various_languages
20170321-various_tensorflow_apis_for_python
20170322-tensorflow_logging
20170323-tfrecords_for_humans
20170324-the_tensorflow_coordinator_for_python_threading
20170327-tensorflow_and_queues
20170328-tensorflow_as_a_distributed_virtual_machine
20170329-protocol_buffers_in_python
20170330-tfrecords_via_proto
20170331-on_tyranny
20170403-images_and_tfrecords
20170404-how_not_to_program_the_tensorflow_graph
20170410-tensorflow_clusters_questions_and_code
20170411-distributed_mapreduce_with_tensorflow
20170412-reading_from_disk_inside_the_tensorflow_graph
20170423-tensorflow_as_automatic_mpi
20170425-mystery.tfrecords
20170426-parsing_tfrecords_inside_the_tensorflow_graph
20170427-sparse_tensors_and_tfrecords
20170428-everything_in_the_graph_even_glob
20170429-from_behaviorist_to_constructivist_ai
20170430-sampling_imagenet
20170430-tensorflows_queuerunner
20170502-canned_models_with_keras_in_tensorflow
20170505-simple_dataset_us_presidential_party_and_gdp_growth
20170506-simple_regression_with_a_tensorflow_estimator
20170509-building_tensorflow_systems_from_components
20170510-caffe_and_tensorflow_at_dla
20170517-code_reading_questions_at_oscon
20170521-navigating_tensorflow_estimator_documentation
20170524-more_and_better_new_tensorflow_apis
20170526-questions_from_tensorflow_apis_webinar
20170705-word_vectors_and_sat_analogies
20170724-unique_ids_and_nielsen_abuse
20170821-downward_spiral_destructive_of_civic_virtue
20170822-scientific_and_historical_levels_of_explanation
20170823-transfer_of_allegiance_from_theory_to_theory
20170825-characteristics_of_good_theories
20170830-berkeley_deep_rl_bootcamp
20170911-problems_with_imagenet_and_its_solutions
20170917-science_as_mountaineering
20171022-mounting_disks_on_aws
20171114-deep_rl
20171229-designing_your_life
20180115-man_in_high_castle
20180118-boomerang_by_michael_lewis
20180121-janesville_an_american_story
20180122-why_the_rich_are_getting_richer
20180125-no_more_work_by_james_livingston
20180128-worm_by_mark_bowden
20180211-coming_jobs_war
20180213-failure_to_replicate_schwartz-ziv_and_tishby
20180218-scarcity_by_sendhil_mullainathan_and_eldar_shafir
20180312-consider_phlebas_by_iain_m_banks
20180429-portfolios_of_the_poor
20180719-geolocation_precision_by_digit
aaron
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README.md

This is my blog!

http://ajschumacher.github.io/ or http://planspace.org/

Weirdnesses:

  • Five dashes ("-----") start and end slides that get made into big slides in big/. Still rendered as horizontal rules otherwise.
  • Uses standard Python markdown processing, but custom pre-processed to support GitHub-style fenced code blocks.

Syntax highlighting is by highlight.js. It's a custom pack; right now these are the languages:

  • from "Common"
    • CSS
    • JavaScript
    • Ruby
    • Bash
    • SQL
    • JSON
    • Markdown
    • HTML/XML
    • Python
  • from "Other"
    • Clojure
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