clipart links

victorian

openclipart

dat

dat link

cc search

rectangular dividers

punk flyers

ms clipart searchdb

Encrypting text in vim with the vim-gnupg plugin

Plug 'jamessan/vim-gnupg'

" GPG SETTINGS for just password
let g:GPGPreferSymmetric = 1
" gpg so temp is also encrypted
" Prevent backup files (avoid leaving decrypted content on disk)
set nobackup
set nowritebackup
" Encrypt temporary files too
let g:GPGUseAgent = 1

Add above to vimrc and below to bashrc

# vim gpg
GPG_TTY=`tty`
export GPG_TTY

This symmetrical encryption prompts for a password on save and for 10 mins lets you re-open without a password in vim. To clear the cache so you are prompted immediately run in the terminal:

gpgconf --kill gpg-agent

how to get app image icons

I downloaded FreeCad as an app image I want to create a desktop shortcut but I needed an Icon

./freecad.AppImage --appimage-extract

mixxx export playlist as csv run csvkit on it to find duration of set

csvtool col 4 vertagogo.csv | tail -n +2 | awk -F: '{
    min=$1;
    sec=$2;
    total += min * 60 + sec;
} END {
    h = int(total / 3600);
    m = int((total % 3600) / 60);
    s = total % 60;

    if (h > 0) {
        printf "Total Duration: %d hour%s %d minute%s %d second%s\n",
            h, (h!=1?"s":""),
            m, (m!=1?"s":""),
            s, (s!=1?"s":"");
    } else if (m > 0) {
        printf "Total Duration: %d minute%s %d second%s\n",
            m, (m!=1?"s":""),
            s, (s!=1?"s":"");
    } else {
        printf "Total Duration: %d second%s\n", s, (s!=1?"s":"");
    }
}'

Assuming duration is in the 4th col then this script works
I also jumped through some hoops trying to figure out a way to sort them in the CLI by bpm but you can just click on them in mix.

printing csv as html tables using basic shell tools like tail

this shell script makes an html table out of a simple 2 col csv

#!/bin/sh
echo ""
echo "  "
echo "  "
tail -n +2 "$1" | awk -F',' '{print "    "}'
echo "  "
echo "
item
quantity
" $1 "
" $2 "
"

I don't want to install numbers on my Ipad. A-shell mini/pythonista can run csvkit (csvtools is another good one) instead to do alot of basic data

• shortcuts - data fetching, logging, file management
• a-shell mini - csvtools, awk, sed, (maybe even a little grep)
• pythonista - data analysis/ visualizations

my renoise shortcuts

linked from my other blog, was wondering why I couldn't find it on this blog

Making Shipping Labels In Calc

macmost did a cool tutorial using apple numbers and pages

The way I would do it before was to use scribus but then I found pages can do linked text boxes.

Heres how you would do the formula to get the same result in libre office calc

=A2 & CHAR(10) & B2 & CHAR(10) & C2

10 fun math tricks for predicting the future with forecasts

#	Math Trick	Description	Use Case Example
1	Moving Averages	Smooths data using a rolling average (SMA, WMA, EMA)	Forecasting trends in sales or traffic
2	Exponential Smoothing	Weights recent data more for responsive short-term forecasting	Predicting next day's value
3	Linear Regression	Fits a straight trend line to data	Predicting future sales or prices
4	Polynomial Regression	Fits a curve to account for nonlinear trends	Modeling growth with acceleration
5	Logarithmic/Exponential Trend	Fits curved models like exponential or logarithmic	Forecasting growth or decay
6	Percent Change / Growth Rate	Uses % increase/decrease to project future values	Estimating next month's revenue
7	Seasonal Averaging	Averages data by time periods (month, week, etc.)	Forecasting monthly sales
8	Rolling Regression	Applies linear regression over a sliding window	Short-term stock price prediction
9	Z-Score Anomaly Detection	Identifies and removes outliers using standard deviations	Cleaning noisy time series
10	Fourier Transform (FFT)	Finds cyclical patterns via frequency analysis	Detecting seasonality in demand patterns

why not have another 10?

#	Math Trick	Description	Use Case Example
11	CAGR (Compound Annual Growth Rate)	Measures average annual growth rate over time	Forecasting investment growth
12	Autoregressive (AR) Models	Uses past values to predict the next one	Time series forecasting like AR(1), AR(2)
13	Differencing (Δ)	Subtracts previous values to remove trend or seasonality	Stationarizing a time series
14	Cumulative Sum (CUSUM)	Tracks cumulative change from a reference point	Detecting slow shifts in process metrics
15	Holt-Winters (Triple Smoothing)	Adds seasonality and trend to exponential smoothing	Forecasting seasonally fluctuating data
16	Simple Lagged Features	Adds previous values as new columns	Enhancing model input with past behavior
17	Normalization/Standardization	Scales data to make it comparable or Gaussian	Preprocessing before regression or modeling
18	Clustering for Pattern Detection	Groups similar trends using K-means or DBSCAN	Discovering behavior groups in data
19	Savitzky–Golay Filter	Smooths data while preserving shape	Denoising noisy sensor or measurement data
20	Quantile Forecasting	Predicts a range (not just average) using percentiles	Risk modeling, demand estimation with bounds

10 more

#	Math Trick	Description	Use Case Example
21	Slope Calculation (Rate of Change)	Measures steepness between data points	Detecting acceleration in trends
22	Cross-Correlation	Measures similarity between two time series	Lag detection between related variables
23	Seasonality Index	Normalizes values by seasonal averages	Adjusting for repeating seasonal patterns
24	Principal Component Analysis (PCA)	Reduces dimensionality while preserving variance	Feature compression before modeling
25	Residual Analysis	Analyzes difference between actual and predicted values	Improving model accuracy by modeling errors
26	Bootstrapping	Resamples data with replacement to estimate confidence intervals	Estimating forecast uncertainty
27	Time Series Decomposition	Separates series into trend, seasonality, and residual	Understanding data components for forecasting
28	Interpolation	Fills in missing values between known data points	Reconstructing incomplete datasets
29	Weighted Least Squares (WLS)	Linear regression giving more weight to certain data points	Handling heteroscedasticity in data
30	Bayesian Updating	Updates forecast with new data based on prior beliefs	Dynamic forecasting as new data arrives

#	Math Trick	Description	Use Case Example
31	K-Nearest Neighbors (KNN) Forecasting	Predicts based on the average of similar past patterns	Forecasting similar behavior sequences
32	Dynamic Time Warping (DTW)	Measures similarity between time series with time shifts	Comparing sequences with misaligned timing
33	Prophet Model (by Facebook)	Decomposable time series model with trend, seasonality, holidays	Business forecasting with multiple components
34	Recurrent Patterns Detection	Identifies repeating patterns in time series	Analyzing periodic signals
35	Residual Smoothing	Smooths the error component of a forecast	Reducing noise in forecast residuals
36	Rolling Median	Like moving average, but uses median for robustness to outliers	Smoothing noisy data with outlier resistance
37	Data Binning	Groups continuous values into categories	Trend simplification or histogram generation
38	Signal Denoising (Wavelet Transform)	Removes high-frequency noise while preserving structure	Processing raw sensor or stock data
39	Granger Causality Test	Determines if one time series can predict another	Identifying causal predictors
40	Lead-Lag Analysis	Measures which variables lead or follow others in time	Input feature timing alignment
41	Change Point Detection	Detects shifts in trend or distribution	Finding when market behavior changes
42	Trend Strength Index	Quantifies how strong the trend is	Deciding if forecasting is appropriate
43	Signal-to-Noise Ratio (SNR)	Compares signal strength to background noise	Evaluating data quality for prediction
44	Elastic Net Regression	Combines Lasso and Ridge for robust regression	Forecasting with high-dimensional features
45	Lag Correlation Matrix	Compares correlation across time lags	Feature selection from past data
46	Time-Weighted Averages	Weighs recent data more heavily based on time decay	Real-time adaptive forecasting
47	Histogram-Based Forecasting	Predicts based on distribution of past values	Probabilistic forecasting from historical data
48	Rolling Standard Deviation	Tracks volatility over time	Measuring uncertainty or instability
49	Confidence Interval Forecasting	Predicts with upper and lower bounds	Risk-aware forecasting
50	Ensemble Averaging	Combines forecasts from multiple models	Improving accuracy through diversity

how to backup contacts

my mom lost her phone.  
got me asking myself 
"how could I prepare if I knew I was going to loose my phone?"
I want to make a nice table of some important contacts to stick on the fridge
without having to manually click through each one.

shortcut to batch export contacts as a zip full of vcfs

sudo apt install python3-vobject

python tool to convert vcf to csv heres my scribus template

the SG_NEXT-RECORD needs to not be on the first record or it won't show. It needs to be in smaller also. This tripped me up at first

Lingot - a cool little tuner for linux

sudo apt install lingot

blend modes explained

Blend Mode	What It Does	Effect Description
Normal	Displays the top layer as-is.	No blending occurs — pixels on top layer simply cover the bottom layer.
Multiply	Multiplies base and blend layer colors.	Darkens the image; white does nothing, black stays black.
Screen	Multiplies the inverse of the colors, then inverts the result.	Lightens the image; black does nothing, white stays white.
Overlay	Combines Multiply and Screen based on base brightness.	Increases contrast; darks get darker, lights get lighter.
Color Dodge	Brightens the base color to reflect the blend color.	Intense lightening; highlights are boosted dramatically, midtones stay.
Color Burn	Darkens the base color to reflect the blend color.	Increases contrast by darkening; shadows deepen.
Difference	Subtracts the darker color from the lighter one (absolute difference).	Inverts colors where layers differ; useful for creative or abstract effects.
Soft Light	Gently darkens or lightens based on blend color.	A subtle overlay; like shining a diffused spotlight.
Hard Light	A harsher version of Soft Light, combines Multiply and Screen.	High-contrast lighting effect; amplifies intensity.
Darken	Keeps the darker of the base and blend colors.	Replaces lighter areas with darker ones.
Lighten	Keeps the lighter of the base and blend colors.	Replaces darker areas with lighter ones.

Blend Mode	When to Use It	Example Use Case
Normal	When no blending is needed.	Adding a logo or icon to a design without any blending.
Multiply	To darken an image or add shadows and shading.	Adding realistic shadows under objects or deepening midtones in a photo.
Screen	To lighten an image or simulate light.	Creating a soft glow effect or simulating bright light over an object.
Overlay	To boost contrast and make textures pop.	Enhancing details in skin or fabrics in photo retouching.
Color Dodge	To create intense lighting or shine.	Adding sparkles, lens flares, or lighting highlights on metallic surfaces.
Color Burn	To deepen shadows or create high-contrast gritty effects.	Creating dramatic poster effects or adding depth to a stylized illustration.
Difference	For abstract, surreal, or comparison visuals.	Creating glitch art, testing pixel alignment, or designing inverted backgrounds.
Soft Light	For subtle lighting effects and texture enhancement.	Gently increasing contrast on portraits or applying a textured paper overlay.
Hard Light	To emphasize highlights and shadows more aggressively than Soft Light.	Adding strong rim lighting or punchy contrast to action scenes or comics.
Darken	To keep only the darkest parts of overlapping layers.	Merging grunge textures into a background while preserving shadowed details.
Lighten	To reveal only the brightest parts of a texture or image.	Overlaying bokeh or light leaks without affecting darker image areas.

How to turn a bunch of jpegs into a pdf from cli

img2pdf $(ls -v *.jpeg) -o output.pdf

fontself

app store link to fontself for ios
seems like the best app for making your own custom fonts

Inkscape background remove extension

Rembg is a python tool to remove backgrounds
problem is i used pipx to install it so inkscape cant find it
It works fine in the cli though and its great
link to linuxlinks page on rembg

rembg i 'path to input' 'path to output'

inkscape mail merge - next generator

youtube link showing how to use the extension the extension on gitlab

You can batch generate documents from csv like scribus or affinity publishers datamerge

Learned scribus last night

learned about DTP (desktop publishing software)

• affinity publisher 22$ ios

It has a cool feature called datamerge where you can use spreadsheets to populate designs. Scribus can do mailmerge from csv. being able to patch process multiple things into a cohesive publication is a big deal. the data entry format looks like this.

%VAR_placeholder%

Here is the link for the python script that adds this functionality
scribus generator

you can print your own shipping labels and make stickers!!

my dim byz

dropbox link

The link is to a pdf I made of spread voiced chords in every key. alternating between a major 6 and a diminished chord to harmonize up the major scale using the b6 as a passing note to create an even octatonic scale. each diminished chord can resolve to 4 different keys. page 4 is on half whole diminished scales on ukulele and then I included a few other scales for fun

every dim7 substitution

mapped it all out as mermaid then touched it up in autodesk sketchup
bc it was super short and wide.
previewed it with mermaid js
screenshot with flameshot
added mermaid js and markdown support to my blog to try
to do it all with mermaid but im not going to keep it
I like using html now and its not worth loading the
highlight js cdn twice.
ai upscaled it in ibispaint because it was pixelly.

printerfriendly version dropbox link

relating c# dim to 4 keys visually

the lowest diminished chord on uke is c#dim7.

• c#m f#7 bmaj7
• em a7 dmaj7
• gm c7 fmaj7
• Bbm eb7 abmaj7

the c#,e,g,Bb diminished chord is a half step below the d,f,ab,b diminished chord where the 1 chords live.

im saying m6 and m3 meaning b3 here

Best Native Teleprompter on apple

ios and on mac you can use the pages app. It has a scroll function. I don't trust the free apps the data harvesting creeps me out. many of the paid ones you can't even own they are like a 60$ yearly subscription. Even after you buy them you still need to by a two way mirrored glass camera attachment. If its not going to be good even after spending 60$ Id rather just memorize it. If your eyes arent looking at the camera directly theres no point. Might be useful for some makeshift karaoke