diff --git a/Brewfile b/Brewfile new file mode 100644 index 0000000..3046e0a --- /dev/null +++ b/Brewfile @@ -0,0 +1,29 @@ +tap "homebrew/bundle" +tap "homebrew/cask" +tap "homebrew/core" +brew "harfbuzz" +brew "pango" +brew "adwaita-icon-theme" +brew "augeas" +brew "bchunk" +brew "berkeley-db@4" +brew "enca" +brew "geckodriver" +brew "git" +brew "git-lfs" +brew "libidn2" +brew "gtk-mac-integration" +brew "iso-codes" +brew "gspell" +brew "gtksourceview3" +brew "krb5" +brew "libxml2" +brew "pandoc", link: false +brew "postgresql@14" +brew "py3cairo" +brew "pyenv" +brew "rename" +brew "ruby" +brew "wget" +cask "emacs" +cask "wine-stable" diff --git a/Gemfile b/Gemfile index 22e379b..d99d5b0 100644 --- a/Gemfile +++ b/Gemfile @@ -6,4 +6,4 @@ git_source(:github) {|repo_name| "https://github.com/#{repo_name}" } # gem "rails" -gem "jekyll", "~> 3.8" +gem "jekyll", "~> 4.2" diff --git a/Gemfile.lock b/Gemfile.lock index 5627685..82e0a10 100644 --- a/Gemfile.lock +++ b/Gemfile.lock @@ -4,60 +4,67 @@ GEM addressable (2.8.1) public_suffix (>= 2.0.2, < 6.0) colorator (1.1.0) - concurrent-ruby (1.1.5) - em-websocket (0.5.1) + concurrent-ruby (1.2.2) + em-websocket (0.5.3) eventmachine (>= 0.12.9) - http_parser.rb (~> 0.6.0) + http_parser.rb (~> 0) eventmachine (1.2.7) - ffi (1.11.1) + ffi (1.15.5) forwardable-extended (2.6.0) - http_parser.rb (0.6.0) - i18n (0.9.5) + google-protobuf (3.22.2-x86_64-darwin) + http_parser.rb (0.8.0) + i18n (1.12.0) concurrent-ruby (~> 1.0) - jekyll (3.8.4) + jekyll (4.3.2) addressable (~> 2.4) colorator (~> 1.0) em-websocket (~> 0.5) - i18n (~> 0.7) - jekyll-sass-converter (~> 1.0) + i18n (~> 1.0) + jekyll-sass-converter (>= 2.0, < 4.0) jekyll-watch (~> 2.0) - kramdown (~> 1.14) + kramdown (~> 2.3, >= 2.3.1) + kramdown-parser-gfm (~> 1.0) liquid (~> 4.0) - mercenary (~> 0.3.3) + mercenary (>= 0.3.6, < 0.5) pathutil (~> 0.9) - rouge (>= 1.7, < 4) + rouge (>= 3.0, < 5.0) safe_yaml (~> 1.0) - jekyll-sass-converter (1.5.2) - sass (~> 3.4) + terminal-table (>= 1.8, < 4.0) + webrick (~> 1.7) + jekyll-sass-converter (3.0.0) + sass-embedded (~> 1.54) jekyll-watch (2.2.1) listen (~> 3.0) - kramdown (1.17.0) - liquid (4.0.3) - listen (3.1.5) - rb-fsevent (~> 0.9, >= 0.9.4) - rb-inotify (~> 0.9, >= 0.9.7) - ruby_dep (~> 1.2) - mercenary (0.3.6) + kramdown (2.4.0) + rexml + kramdown-parser-gfm (1.1.0) + kramdown (~> 2.0) + liquid (4.0.4) + listen (3.8.0) + rb-fsevent (~> 0.10, >= 0.10.3) + rb-inotify (~> 0.9, >= 0.9.10) + mercenary (0.4.0) pathutil (0.16.2) forwardable-extended (~> 2.6) public_suffix (5.0.1) - rb-fsevent (0.10.3) - rb-inotify (0.10.0) + rb-fsevent (0.11.2) + rb-inotify (0.10.1) ffi (~> 1.0) - rouge (3.11.0) - ruby_dep (1.5.0) + rexml (3.2.5) + rouge (4.1.0) safe_yaml (1.0.5) - sass (3.7.4) - sass-listen (~> 4.0.0) - sass-listen (4.0.0) - rb-fsevent (~> 0.9, >= 0.9.4) - rb-inotify (~> 0.9, >= 0.9.7) + sass-embedded (1.60.0-x86_64-darwin) + google-protobuf (~> 3.21) + terminal-table (3.0.2) + unicode-display_width (>= 1.1.1, < 3) + unicode-display_width (2.4.2) + webrick (1.8.1) PLATFORMS ruby DEPENDENCIES - jekyll (~> 3.8) + jekyll (~> 4.2) BUNDLED WITH 1.16.2 diff --git a/_featured/1.md b/_featured/1.md index bc18019..af59834 100644 --- a/_featured/1.md +++ b/_featured/1.md @@ -1,10 +1,10 @@ --- -title: Deep Learning in R -course_name: Deep Learning in R -instructor: Evan Muzzall -github_link: https://github.com/dlab-berkeley/Deep-Learning-in-R -datahub_link: http://datahub.berkeley.edu/user-redirect/interact?account=dlab-berkeley&repo=Deep-Learning-in-R&branch=master&path= +title: Python Fundamentals +course_name: The absolute basics +instructor: +github_link: +datahub_link: nbviewer_link: -binder_link: https://mybinder.org/v2/gh/dlab-berkeley/Deep-Learning-in-R/master +binder_link: --- -Convey the basics of deep learning in R using keras on image datasets. Students are empowered with a general grasp of deep learning, example code that they can modify, a working computational environment, and resources for further study. +This three-part interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience, with a focus on data science application. It covers the basics of Python and Jupyter, variables and data types, and a gentle introduction to data analysis in Pandas. diff --git a/_featured/2.md b/_featured/2.md index e399780..ee1e526 100644 --- a/_featured/2.md +++ b/_featured/2.md @@ -1,10 +1,10 @@ --- -title: Geospatial Fundamentals in R with sf -course_name: Geospatial Fundamentals in R with sf -instructor: Patty Frontiera -github_link: https://github.com/dlab-berkeley/Geospatial-Fundamentals-in-R-with-sf -datahub_link: http://datahub.berkeley.edu/user-redirect/interact?account=dlab-berkeley&repo=Geospatial-Fundamentals-in-R-with-sf&branch=master&path= +title: Python Data Wrangling +course_name: Manipulate DataFrames using Pandas in Python +instructor: +github_link: +datahub_link: nbviewer_link: -binder_link: https://mybinder.org/v2/gh/dlab-berkeley/Geospatial-Fundamentals-in-R-with-sf/master +binder_link: --- -D-Lab's Geospatial Fundamentals in R with sf (simple features) workshop, focusing on core concepts of geospatial information, vector data, and plotting; spatial analysis; raster data. +In this workshop, we provide an introduction to data wrangling with Python. We will do so largely with the pandas package, which provides a rich set of tools to manipulate and interact with data frames, the most common data structure used when analyzing tabular data. We'll learn how to manipulate, index, merge, group, and plot data frames using pandas functions. diff --git a/_featured/3.md b/_featured/3.md index 660f5ef..fb1db17 100644 --- a/_featured/3.md +++ b/_featured/3.md @@ -1,10 +1,10 @@ --- -title: Geocoding in R -course_name: Geocoding in R -instructor: Patty Frontiera -github_link: https://github.com/dlab-berkeley/Geocoding-in-R -datahub_link: http://datahub.berkeley.edu/user-redirect/interact?account=dlab-berkeley&repo=Geocoding-in-R&branch=master&path= +title: Python Data Visualization +course_name: Pandas, Matplotlib, and Seaborn +instructor: +github_link: +datahub_link: nbviewer_link: -binder_link: https://mybinder.org/v2/gh/dlab-berkeley/Geocoding-in-R/master +binder_link: --- -geocode in R using three online services: Google Geocoding API, ESRI World Geocoding Service, US Census Geocoder +In this workshop, we provide an introduction to data visualization with Python. First, we'll cover some basics of visualization theory. Then, we'll explore how to plot data in Python using the matplotlib and seaborn packages. diff --git a/_featured/4.md b/_featured/4.md deleted file mode 100644 index c424d0a..0000000 --- a/_featured/4.md +++ /dev/null @@ -1,10 +0,0 @@ ---- -title: Computational Text Analysis -course_name: Computational Text Analysis -instructor: Caroline Le Pennec-Caldichoury -github_link: https://github.com/dlab-berkeley/computational-text-analysis-spring-2019 -datahub_link: http://datahub.berkeley.edu/user-redirect/interact?account=dlab-berkeley&repo=computational-text-analysis-spring-2019&branch=master&path= -nbviewer_link: -binder_link: https://mybinder.org/v2/gh/dlab-berkeley/computational-text-analysis-spring-2019/master ---- -This workshop will equip newcowers with the foundation for applying computational text analysis methods in their work. The focus is on high-level descriptions of what existing methods do and user-friendly implementations. We will also spend some time on interpreting results correctly. diff --git a/_featured/5.md b/_featured/5.md deleted file mode 100644 index 356edb7..0000000 --- a/_featured/5.md +++ /dev/null @@ -1,10 +0,0 @@ ---- -title: Visualization with Python -course_name: Visualization with Python -instructor: TBD -github_link: https://github.com/dlab-berkeley/visualization-with-python -datahub_link: http://datahub.berkeley.edu/user-redirect/interact?account=dlab-berkeley&repo=visualization-with-python&branch=master&path=visualization-with-python.ipynb -nbviewer_link: -binder_link: https://mybinder.org/v2/gh/dlab-berkeley/visualization-with-python/master ---- -An introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook. The plot types that will be covered include: line, bar, scatter, boxplot. We'll also learn about styles and customizing plots. Throughout the workshop, we'll discuss the plot types best suited for particular kinds of data. Basic familiarity with Python is assumed. diff --git a/docs/Brewfile b/docs/Brewfile new file mode 100644 index 0000000..3046e0a --- /dev/null +++ b/docs/Brewfile @@ -0,0 +1,29 @@ +tap "homebrew/bundle" +tap "homebrew/cask" +tap "homebrew/core" +brew "harfbuzz" +brew "pango" +brew "adwaita-icon-theme" +brew "augeas" +brew "bchunk" +brew "berkeley-db@4" +brew "enca" +brew "geckodriver" +brew "git" +brew "git-lfs" +brew "libidn2" +brew "gtk-mac-integration" +brew "iso-codes" +brew "gspell" +brew "gtksourceview3" +brew "krb5" +brew "libxml2" +brew "pandoc", link: false +brew "postgresql@14" +brew "py3cairo" +brew "pyenv" +brew "rename" +brew "ruby" +brew "wget" +cask "emacs" +cask "wine-stable" diff --git a/docs/index.html b/docs/index.html index 8fb6552..25c8e58 100644 --- a/docs/index.html +++ b/docs/index.html @@ -18,55 +18,21 @@ - - - - - + + + + - - -