| from great_tables import GT, md, html, system_fonts | |
| import pandas as pd | |
| power_cie_prepared_tbl = pd.read_csv("./data/2023_cie_power_cons.csv") | |
| # Create a Great Tables object | |
| ciep_gt_tbl = GT(data=power_cie_prepared_tbl) | |
| # Apply wider color ranges & formatting | |
| gt_tbl = ciep_gt_tbl \ |
| [alias] | |
| co = checkout | |
| cob = checkout -b | |
| coo = !git fetch && git checkout | |
| br = branch | |
| brd = branch -d | |
| brD = branch -D | |
| merged = branch --merged | |
| st = status | |
| aa = add -A . |
| # Some options that may or may not be applicable to you | |
| [user] | |
| name = Zach Olivare | |
| email = zach@olivare.net | |
| [push] | |
| default = upstream | |
| [core] | |
| autocrlf = input # Force replacing CRLF line endings with LF | |
| ignorecase = false | |
| [merge] |
| # Some options that may or may not be applicable to you | |
| [user] | |
| name = Zach Olivare | |
| email = zach@olivare.net | |
| [push] | |
| default = upstream | |
| [core] | |
| autocrlf = input # Force replacing CRLF line endings with LF | |
| ignorecase = false | |
| [merge] |
| # https://gist.github.com/althonos/6914b896789d3f2078d1e6237642c35c | |
| [metadata] | |
| name = {name} | |
| version = file: {name}/_version.txt | |
| author = Martin Larralde | |
| author_email = martin.larralde@embl.de | |
| url = https://github.com/althonos/{name} | |
| description = {description} | |
| long_description = file: README.md |
People
 :bowtie: |
😄 :smile: |
😆 :laughing: |
|---|---|---|
😊 :blush: |
😃 :smiley: |
:relaxed: |
😏 :smirk: |
😍 :heart_eyes: |
😘 :kissing_heart: |
😚 :kissing_closed_eyes: |
😳 :flushed: |
😌 :relieved: |
😆 :satisfied: |
😁 :grin: |
😉 :wink: |
😜 :stuck_out_tongue_winking_eye: |
😝 :stuck_out_tongue_closed_eyes: |
😀 :grinning: |
😗 :kissing: |
😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
This is a collection of books that I've researched, scanned the TOCs of, and am currently working through. The books are selected based on quality of content, reviews, and reccommendations of various 'best of' lists.
The goal of this collection is to promote mastery of generally applicable programming concepts.
Most topics are covered with Python as the primary language due to its conciseness, which is ideal for learning & practicing new concepts with minimal syntactic boilerplate.
JavaScript & Kotlin are listed in the Tooling section; as they allow extension of VS Code and the IntelliJ suite of IDEs, which cover most development needs.
| import matplotlib.pyplot as plt | |
| def draw_neural_net(ax, left, right, bottom, top, layer_sizes): | |
| ''' | |
| Draw a neural network cartoon using matplotilb. | |
| :usage: | |
| >>> fig = plt.figure(figsize=(12, 12)) | |
| >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2]) | |