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Drill through all the easy problems + start medium level ones
The Odin Project + Mozilla documentation on web development fundamentals + server-side in depth
set up Django Backend
implemented an external API to see if backend setup will work with the Classify API
Practice problems on AlgoExpert
set up local development
solved CORS issue
set up basic pagination (featured is not being implemented in the end)
learn JavaScript through the Odin Project to be able to contribute to this project
Book recommendation system
Django tutorials - Corey Shafer
set up Django Backend for [[Book recommendation system]]
CIS Collegiate Independent Study Website
Spring -> Django Migration
run python script from Spring
test case hello.py file
return log.txt which is the output from ProcessBuilder java class
move nested books from /category to /category?expand=book
remove nested books from /category entirely
bookcategory/4,5,6 to see all books within these categories
how to batch upload books for POST method
create a bookcategory_id to generate unique ids
update database schema to show how backend works
Chapter 5 - Runestone Book
algo expert - 20 questions completed
set up mySQL locally
upload script and create a username to access data
create Subcategory table
set up Postman
add data to books table
test out Bing's code
figure out contribution in github (git theory)
create User table + all it's properties
Work with (front end) for User-history API
pull from deploy and test
simplify database with Category <--> Book relationship (Many to Many)
Create relationship User <--> User history (Many to Many)
generate Mock data using a Python webscrapper
Intelligent Document Classifier
Deploy app on server
learn spring boot
fix bugs on intelligentdocumentclassifier for the back-end part
connect with front end to migrate intelligentdocumentclassifier to new angular uploader which will replace http://66.76.242.198/ .
Completed more effectively by someone else on the team My work still needed to deploy both front and back end separately to connect the two
Volunteer Project
python data extraction
[[Java]] uploader
Maven
Spring
Angular (run)
Practice: Tiny Python Projects book: 1st halfPractice: Thredup project
Inputs
url
number of pages
file name
use classes?
Install Docker
upload to Github
Learning Plan
Data Structures exercises
Tiny Python projects - my solutions
Week 4: HackerRank Conference
Learn what these do
Python gaps
classes (learning through Linked Lists practice)
ODSC Conference Thursday + Friday
resume for career fair - Saturday
Week 2: SQL + job applications
apply to jobs + internships
SQL refresher - Data36
Leetcode practice - Python
ODSC scholarship application
ODSC registration for all events
Week 2-4: Thredup Database
created a kanban board - all todos have migrated to the github project page
Updated README file on Github for latest todo
Thredup project
clean-up Obsidian notes
create a copy of a Github folder that syncs md file with Obsidian's file (don't want to keep copies at two locations
push to Github (code + md notes)
Anki
Git cards - push, pull, etc.
Website
fix site
ideas: menu, posts, layout
Org-Roam
Test out 2nd Org-Roam installation on separate conda environment
Guide to Installation: complete
Linux
Anki
conda env for thredup project
update migration to Linux page
Thredup up project
finish all functions
rest of the functions to be used later - also worked on them
Dual Boot Laptop - oh boy!
Figure out environments: conda and homebrew
Experiment with installations with homebrew, then conda on other Linux distro - didn't use conda
Thredup Webscrape:
links
combine links with href header: thredup.com
split urls for different clothing categories
realized: cannot scrape for categories within "all petite" items
multiple functions
DS setups + those who do both DS + side projects
Week 3: Debug + Environments
Work on Thredup Page
ideas: entire python library + build database using all petite items
web scrapper for pulling non-polyester items stopped working
web scrapper for pulling 100% linen items - use database instead
web scrapper for building a database start
pull links for the main pages - won't work with bs4, due to website layout. Not all href's are able to be pulled + random hrefs for products get pulled. Need to you XML formatting
yank all hrefs/page - not anymore
selenium to move to the next pages - not anymore
Get Doom Emacs
Purchase computer accessories for working at home
Acer One laptop:
attempt clean-up
wipe out system
Week 2: Anki + Feynman technique
Fix thredup code
move over any "Spotify Project" related files from host to guest OS
move over simplified version of Digital Ocean files
debugging
Digital Ocean:
sort through all files
organize
download
delete - will cancel credit card
LinkedIn - update all work description
Feynman | DS concepts for Classification:
Feynman | DS concepts for Regression
create a map for all concepts so far + tangents to see what directions I've been going in
start Thred-up ML project - 1 hour
start community involvement project
Anki: map, filter, reduce and lambda:
definition
syntax
example
Week 1 (3 days): Anki + Feynman
Anki | python code in DS | 20 cards
Feynman | DS concepts for Classification:
Confusion Matrix
Accuracy
Precision & Recall
F1 Score
Harmonic Mean (from F1 score)
F$\beta$-score (from F1 score)
Sensitivity & Specificity
ROC Curve
Ultralearning review + update (mid year evaluation)
Notes | scikit learn
download RESULTER extension for google search shortcuts
increase storage again - new way for Ubuntu 20.04
reinstall Ubuntu after expanding hard drive mistake
VS code: basic debugging
VS code won't run Python - how to enable?
access shared folder between host and guest systems
Ideas vomit for open source projects : education (The Prize), government, businesses (Amazon → buying locally) Open Source Projects
Will Athens be using Emacs? - nope
change default environment to DJ-set - don't think you can
delete XUbuntu
Install Ubuntu Install VirtualBox Guest Additions - automatically adjust resolution (to match host) + shared clipboard and drag and drop between host and guest systemsSlow Ubuntu - wrong ISO mounted, reinstalled just incase
Install miniconda + conda onto Virtual Box
create environment
Organize environments + GitHub folders problem arose from VS Code not being able to find pydub (installed in a different folder using conda than where pip was installing)no longer use Spotify's API
run Remixatron on command line - won't run because of pygame
embed client ID into jupyter notebook
audio analysis (audio from youtube) using Spotify's API
identify beat breakdown for Daechiwita + DNA. Didn't work since I was downloading music from YouTube and using Spotify's analysis on it
switch from jupyter lab to VS Code VS code can run notebooks!
widget for jupyter notebook to play 2 audio samples (downloaded from youtube?)
Week 2: Research into 'Daechwita —> DNA' project + VMs (using Linux fully)
created separate page for the 'Daechwita —> DNA' project
beats and tempos match! extracted from dict in analysis
most code uses javascript with html + css (makes sense) with the spotify API
discovered lots of resources, for python as well
The Autocanonizer source: youtubeSpotify audio analysis source: spotify track plays locally on desktop while song bar progresses on the web browser
EternalJukebox - better README notes + is more updated than autocanonizerYoutube-dl - command-line program to download videos from YouTube.com and a few more sites Discovered Remixatron on AlternativeTo
forced myself to learn git to download and play around on the command line
Virtual box vs. SSH?
Remixatron is giving array allocation errors. Code it myself!
Week 1: Led Zeppelin Project
Led Zeppelin project - documentation
Led Zeppelin project - define objective
pull + sort albums from given artist
Week 4: Blog posts + interview questions
Interview questions - 1 hour per day
Data Science assignment
How to solidify Python?
redirect URL to notion or redirect from WordPress site itself
Create word/pdf resume
search for jobs
cover letters
job applications
Week 1: Finish Python section of course
Python videos - basically finishes up the whole course
April - back home in Quarantine
Discovered new resources on 3/25/20:
Titanic data - completed seaborn (graphing + plotting) + SciKit (machine learning model, random forests)
Looked at “titanic-start-here-a-gentle-introduction” on kaggle and didn’t understand the statistics (Logistic Regression)
Discovered on YouTube: Daniel Bourke’s code with me and codebasics’ machine learning playlist (learned about logistic regression)
Python - Automate the boring stuff (first half of Udemy course)
The Odin Project - started it off
Data 36 - SQL practice
Codewars - python + SQL practice
SQL - interview questions
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