1.
Introduction
❱
1.1.
About
2.
News
❱
2.1.
2024 Fall
2.2.
2024 Spring
3.
Notes
❱
3.1.
Android
3.2.
Automation Software
❱
3.2.1.
Chatbot Prompt
3.2.2.
Command-Line Utilities
3.2.3.
Hammerspoon
3.3.
Browsers
3.4.
Computer Science
❱
3.4.1.
Discrete Mathematics for Computer Science
3.4.2.
Machine Learning
3.4.3.
Networking
3.5.
Data Science
❱
3.5.1.
Visualization
3.6.
Documentation
❱
3.6.1.
Pandoc
3.7.
Exams
❱
3.7.1.
TOEFL
3.8.
Financial
❱
3.8.1.
Monero
3.9.
Government
❱
3.9.1.
United States
3.10.
macOS
❱
3.10.1.
Sucklessfy
3.11.
Mathematics
❱
3.11.1.
Abstract Algebra
3.11.2.
Arithmetics
3.11.3.
Calculus
❱
3.11.3.1.
Differential Equation
3.11.3.2.
Geometric Vector
3.11.3.3.
Multivariate Calculus
3.11.3.4.
Parametric Equation
3.11.3.5.
Sequence and Series
3.11.4.
Complex Analysis
❱
3.11.4.1.
Complex function
3.11.4.2.
Complex Sequence and Series
3.11.5.
Linear Algebra
3.11.6.
Numerical Analysis
3.11.7.
Proof
3.11.8.
Real Analysis
3.11.9.
Shorthand
3.11.10.
Topology
3.12.
Package Manager
❱
3.12.1.
Cargo
3.12.2.
Homebrew
3.12.3.
Gem
3.12.4.
Nix
3.12.5.
NPM
3.12.6.
Pacman
3.12.7.
Pip
3.12.8.
TeXLive Manager (tlmgr)
3.12.9.
Rye
3.13.
Programming
❱
3.13.1.
C
❱
3.13.1.1.
clang
3.13.2.
Elixir
3.13.3.
Git
3.13.4.
Gleam
3.13.5.
Java
3.13.6.
JavaScript
❱
3.13.6.1.
MathJax
3.13.7.
Julia
3.13.8.
Kotlin
3.13.9.
Lua
3.13.10.
Perl
3.13.11.
Python
❱
3.13.11.1.
tqdm
3.13.12.
Mathematica
3.13.13.
MATLAB
3.13.14.
MIPS Assembly
3.13.15.
Racket
3.13.16.
Ruby
❱
3.13.16.1.
Rails
3.13.17.
Rust
3.13.18.
R lang
3.13.19.
Shell
3.13.20.
Trail
3.14.
Referral Links
3.15.
Research Notes
❱
3.15.1.
DeGenTWeb
❱
3.15.1.1.
Arguments
3.15.1.2.
Literature
3.15.1.3.
Google Trends
3.15.1.4.
Preliminary Binoculars Evaluation
3.15.1.5.
Ad Extraction
3.15.1.6.
Filter out Non-Article
3.15.1.7.
Baseline Websites
3.15.1.8.
Classifying Websites
3.15.2.
Generative AI
3.15.3.
JSphere
❱
3.15.3.1.
Literature
3.15.3.2.
Execution
3.15.3.3.
Notable APIs
3.15.3.4.
Analysis of popular API calls
3.15.3.5.
Analysis of selected YouTube scripts API calls
3.15.3.6.
The eval Trick
3.15.3.7.
Classification Results
3.15.4.
Photo Crypto Auth
❱
3.15.4.1.
C2PA-Related Papers
3.15.4.2.
Peripheral Literature
3.15.4.3.
C2PA Camera Apps Investigation
3.15.4.4.
GenAI: Problems Introduced and Countermeasures
3.15.5.
Removal Services
3.15.6.
Web Atoms
3.15.7.
Web Crawling
3.15.8.
Web User-Facing
3.16.
Server
❱
3.16.1.
NFS
3.16.2.
SSH
3.17.
Soft Skill
❱
3.17.1.
Art and Business
3.17.2.
Management
3.17.3.
Paper Presentation
3.18.
Storage
❱
3.18.1.
GitHub
3.19.
USC Living
3.20.
Text Editor
❱
3.20.1.
Vim
3.20.2.
Visual Studio Code
3.20.3.
Xcode
3.21.
Unstructured Bug Notes
3.22.
Unstructured Class Notes
❱
3.22.1.
Advanced Analysis of Algorithms
3.22.2.
Advanced Computer Networking
3.22.3.
Advanced Operating Systems
3.22.4.
Algorithms and Databases
3.22.5.
Artificial Intelligence
3.22.6.
Cloud Computing
3.22.7.
Introduction to Databases
3.22.8.
Introduction to Programming and Data Structures
3.22.9.
Probability, Random Variables, and Stochastic Processes
3.22.10.
Probability and Statistics
3.22.11.
Linear Algebra
3.22.12.
Speech Recognition
3.22.13.
Statistical Machine Learning
3.23.
Unstructured Reading Notes
4.
Blogs
❱
4.1.
My Programming Language Journey: How I Ended Up Using Rust and Python Most After Trying A Dozen Languages
4.2.
~300× Speed Up in Rust: Finding Inexact Matches in Nested Sets
4.3.
Creating Perfect Grayscale-Gradient Colormaps
4.4.
What an mdBook Preprocessor Does
4.5.
Drafts
❱
4.5.1.
Learn Like Machine Learning Models
4.5.2.
We are Learning Async Rust Wrong
4.5.3.
Design Patterns Reveal OOP is Inherently Unsuitable for Systems
4.6.
Deprecated
❱
4.6.1.
How did we get here? WordPress?
5.
Curriculum Vitae
6.
Private
❱
6.1.
Diary
❱
6.1.1.
start
❱
6.1.1.1.
VSCodium
6.1.1.2.
The Run
6.1.1.3.
Feeling Lost
6.1.1.4.
Linux VM and Neovim
6.1.2.
Back from Duke
❱
6.1.2.1.
Elixir Phoenix
6.1.2.2.
mdbook-katex
6.1.3.
Spring 2024 Ideas
❱
6.1.3.1.
Rethinking The Web
6.1.3.2.
Rust
6.1.4.
Spring 2024 Activities
6.1.5.
IMC '24
6.1.6.
Recovering Files on Exxact
tqdm
Light
Rust
Coal
Navy
Ayu
Steven Hé (Sīchàng)
tqdm
kill the current tqdm progress bar:
from
tqdm
import
tqdm tqdm._instances.pop().close()