STM32F407VET6

AliExpress

STM32

STM32F407ZET6 development board M4 STM32F4 core board arm development board cortex-M4
STM32F407VET6 development board M4 STM32F4 core board arm development board cortex-M4 instead of STM32F407ZET6
1PCS Great IT 3.2 inch LCD TFT with resistance touch screen ILI9341 for STM32F407VET6 development board Black
STM32F407ZET6 development board M4 STM32F4 core board arm development board cortex-M4
STM32F407VET6 Development Board Cortex-M4 STM32 minimum system learning board ARM core board +3.2 inch LCD TFT With Touch Screen
Free shipping STM32F407VET6 development board Cortex-M4 STM32 minimum system learning board ARM core board

Hong Kong feng tai co., LTD

EYEWINK Neue 4 zoll TFT LCD bildschirm touch screen modul IPS full view Ultra HD 800X480 mit basis platte
3,5 zoll 480*320 SPI Serielle TFT LCD Modul Display mit Touch Panel Fahrer IC ILI9488
3,5 inch TFT LCD Bildschirm mit Touch Panel ILI9488 Fahrer 320×480 SPI port serial interface (9 IO) touch ic XPT2046 für ard stm32
3,5 zoll TFT farbe LCD modul 320X480 320*480 Ultra HD unterstützung STM32 C51 ili9486 16 bits parallel 34PIN mit touch xpt2046, ILI9486, 16 bit parallel port

fortymall Store

4,0 zoll HD TFT LCD Screen Modul mit PCB ILI9488 Stick IC 320*480 Touch Panel 8Bit Parallel Interface
CPT 3,5 zoll 32P HD TFT LCD Bildschirm mit Adapter Board ILI9488 Stick IC 320*480 8/ 16Bit Parallel Interface

EQV Store

Free shipping! 3.5 inch TFT LCD screen module Ultra HD 320X480 for Arduino MEGA 2560 R3 Board

BuyDisplay

LCD 3.5″ 320×480 TFT Display Module,OPTL Touch Screen w/Breakout Board

YouTube

Stm32f407VET6 + LCD
ILI9341 am FSMC-Port eines STM32F407ZET6
STM32F407VET6 development board Cortex-M4 STM32 minimum system learning board ARM core board
Two ILI9341 based display attached to a Raspberry Pi

Google Drive

STM32f407_SD_LSD +EmWin + Tach.zip

ST

FSMC (flexible static memory controller)
AN4861 Application note – LCD-TFT display controller (LTDC) on STM32 MCUs
AN2790 Application note – TFT LCD interfacing with the high-density STM32F10xxx FSMC

github.com/PaulStoffregen/ILI9341_t3, Optimized ILI9341 TFT Library http://pjrc.com/store/display_ili9341
Color 320×240 TFT Display, ILI9341 Controller Chip
ili9341 Not Working on STM32f4 discovery
STM32F429 / ILI9341
mikrocontroller.net: TFT und die verschiedenen Interfaces
STM32 F746zg nucleo und ILI9488 TFT per SPI langsam ?

AdaFruit

3.5″ TFT 320×480 + Touchscreen Breakout Board w/MicroSD Socket – HXD8357D
2.8″ TFT LCD with Touchscreen Breakout Board w/MicroSD Socket – ILI9341
Adafruit 2.8″ and 3.2″ Color TFT Touchscreen Breakout v2
User-space SPI TFT Python Library – ILI9341, Use an ILI9341 TFT display with a Raspberry Pi or BeagleBone Black!

github.com/adafruit/Adafruit_ILI9341, Library for Adafruit ILI9341 displays

Andy Brown

Andy Brown – Andy’s Workshop
stm32plus 3.2.0: Supporting the STM32F0 Cortex M0
stm32plus: ILI9325 TFT driver
stm32plus: ILI9325 TFT driver

github.com/andysworkshop/stm32plus, The C++ library for the STM32 F0, F100, F103, F107 and F4 microcontrollers
github.com/andysworkshop/stm32plus/blob/master/examples/ssd1963/ssd1963.cpp

Topic: stm32F103vet6 – ssd1963 board hack
SSD1963 on an STM32F103ZET6 board is not working

YouTube: SSD1963 480×272 display on STM32 F1

GitHub TFT

#tft

LittlevGL

github.com/littlevgl/lvgl
github.com/littlevgl/esp32_ili9341, LittlevGL ported to ESP32 using ILI9341 display controller

Is my display supported?

LittlevGL needs just one simple driver to copy an array of pixels into a given area of the display. If you can do this with your display then you can use the same display with LittlevGL.

It includes:

  • TFTs with 16 or 24 bit color depth
  • Monitors with HDMI port
  • Small monochrome displays
  • Gray-scale displays
  • LED matrices
  • or any other display where you can control the color/state of the pixels

See the Porting section to learn more.

GxTFT

github.com/ZinggJM/GxTFT, GxTFT for Arduino

  • HX8357B
  • HX8357C
  • ILI9225
  • ILI9325C
  • ILI9325D
  • ILI9341
  • ILI9481
  • ILI9486
  • ILI9488
  • ILI9488_ST
  • ILI9806
  • OTM8009A
  • OTM8009A_RV047
  • RA8875P
  • RA8875S
  • SSD1283A
  • SSD1963

Tilen Majerle

STM32F4 Discovery, Libraries and tutorials for STM32Fxxx series by Tilen Majerle.
Library 08- ILI9341 LCD for STM32F4
TM STM32F4xx Libraries
github.com/MaJerle?tab=repositories
github.com/MaJerle/stm32f429, Keil projects and libraries for STM32F4xx devices
github.com/MaJerle/stm32f429/blob/master/00-STM32F429_LIBRARIES/tm_stm32f4_ili9341_ltdc.c

Nemui Trinomius

github.com/nemuisan
Nemuisan Blog
lib/display/abstract/inc/display_if.h

iamniels

github.com/iamniels/stm32_ili9341_display_driver, ILI9341 display driver for the STM32F4 microcontroller

Boris Lovosevic (loboris)

github.com/loboris/ESP32_TFT_library, ILI9341, ILI9488, ST7789V and ST7735
github.com/loboris/ESP32_TFT_library/tree/master/components/tft

Shawon Shahryiar

ILI9341 320×240 TFT Touch Display 16-bit Parallel (8080) Mode Demo with ATMega2560
ILI9341 320×240 TFT Touch Display 16-bit Parallel (8080) Mode Demo with ATMega2560

GUIslice

Embedded C GUI for Raspberry PI & Arduino
github.com/ImpulseAdventure/GUIslice, GUIslice drag & drop embedded GUI in C for touchscreen TFT
Display Config Table

Configuring GUIslice
Running Touch Diagnostics
Configure GUIslice for ESP8266 & ESP32
TFT_graphicstest_one_lib.ino (used in “Configure GUIslice for ESP8266 & ESP32”)
SPISettings, from Paul Stoffregen’s XPT2046_Touchscreen::update()

Martin Harizanov

Martin’s corner on the web
TFT32 – ESP32 powered IoT control hub with TFT
Experimenting with a 3.5″ TFT
TFT32 – IoT gateway/control hub with TFT

github.com/mharizanov/TFT32/tree/master/examples/gui/mqtt_controller

Martin Falatic (MartyMacGyver)

github.com/MartyMacGyver/ESP32_Adafruit_ILI9341

Bodmer

github.com/Bodmer/TFT_eSPIArduino and PlatformIO IDE compatible TFT library for the ESP8266 and ESP32 that supports different driver chips, ILI9341, ILI9163, ST7735, S6D02A1, ILI9481, ILI9486, ILI9488, HX8357D and ST7789
Is it support ILI9488 480×320 in 18bit mode #187
LI9844 Support #40

Paul Stoffregen

github.com/PaulStoffregen/XPT2046_Touchscreen, Touchscreen Arduino Library for XPT2046 Touch Controller Chip

github.com/KitSprout/TFT_4.0-inch, OTM8009A,4.0-inch 800*480

  • ili9341 parallel interface 16 bit
  • 8080 16 bit
  • 8080 8 bit
  • SSD1963
  • ILI9341
  • STM32F407ZET6 , 168 MHz

LCDWiki

3.5inch SPI Module ILI9488 SKU:MSP3520
3.5inch RPi Display
ILITEK ILI9488 Datasheet

PS C:\Users\andreas\Documents\github\PlatformIO\Projects\lolin32-arduino-touch> pio lib install "TFT_eSPI"
Library Storage: C:\Users\andreas\Documents\github\PlatformIO\Projects\lolin32-arduino-touch\.pio\libdeps\lolin_d32_pro
Looking for TFT_eSPI library in registry
Found: https://platformio.org/lib/show/1559/TFT_eSPI
LibraryManager: Installing id=1559
TFT_eSPI @ 1.4.17 has been successfully installed!

Qt License

"No QtAccount credentials found. Please login via the maintenance tool of the SDK."
Login completed to Qt Account: "xxx@yyy.ch"
Saving Qt Account settings to file: "/home/andreas/.local/share/Qt/qtaccount.ini"
License added. License id [ xxxxxxxxx ] License schema [ "Supported Evaluation" ] Licensed products [ "Device Creation" ] Licensed platforms [ ("X11", "Embedded Linux", "Windows", "Mac", "Embedded Windows", "Android", "QNX", "VxWorks", "INTEGRITY", "iOS", "WinRT", "Embedded Android") ] License expiry date [ QDate("2019-10-19") ]
Saving licenses to file: "/home/andreas/.local/share/Qt/qtlicenses.ini"

TSM_BusAn

How to save (and load) datasets in R: An overview
The Trouble with Tibbles

Tibble Data Format in R: Best and Modern Way to Work with Your Data

The Workspace

R for Data Science

Wikipedia

Statistik
Stochastik
Mathematische/induktive Statistik (beurteilende Statistik)
Deskriptive Statistik (beschreibende Statistik)
Grundgesamtheit (Population! Gesamterhebungsumfang)
Schätztheorie
Schätzfunktion
Schätzmethode (Schätzverfahren)

R

PH525x series – Biomedical Data Science
Procedural Languages > R
R – Tilde Operator
DataCamp – Formulas in R Tutorial
R for Dummies – How to Use the Formula Interface in R
The R Formula Method: The Good Parts

Verteilungen

Wahrscheinlichkeitsverteilung
Diskrete Wahrscheinlichkeitsverteilung
Stetige Wahrscheinlichkeitsverteilung
Absolutstetige Wahrscheinlichkeitsverteilung

Liste univariater Wahrscheinlichkeitsverteilungen
Kategorie:Absolutstetige Wahrscheinlichkeitsverteilung
Kategorie:Univariate Wahrscheinlichkeitsverteilung

Diskrete

Poisson-Verteilung
Bernoulli-Verteilung (Null-Eins-Verteilung)
Binomialverteilung

Stetige

Stetige Gleichverteilung
Dreiecksverteilung
Exponentialverteilung
Gammaverteilung

YouTube

StatQuest with Josh Starmer

Video Index
Statistics Fundamentals
Linear Models

StatQuest: Logistic Regression in R

DataCamp

R tutorial – Learn R Programming

Week 2

  • Samplr Size totally obscured
  • Variability not visible
  • Statistical evidence
  • Statistical significance
  • Statistical relevance
  • Statistical inference
  • Confidence Intervals
  • Statistical hypothesis testing, Null-Hypothesis
  • p-Values

Mittelwert
Median
p-Wert

Mean
Median
p-value

Statistischer Test / Statistical hypothesis testing / Hypothesis Testing
Statistische Signifikanz / Statistical significance
Mathematische Statistik / Statistical inference

Wilcoxon-Mann-Whitney-Test (Rank Sum Test)
Kruskal-Wallis-Test, H-Test, (Rank Sum Test)
Hypothese (Statistik)
Null hypothesis
Informal inferential reasoning
MathsNZ Students – 3.10 – Formal Inference

YouTube

p-Wert und p-Wert-Grenzen – was leistet ein p-Wert (nicht)?
p-Wert in der Statistik einfach erklärt | Hypothesen-Test | Beispiel | wirtconomy
p-Wert, Nullhypothese, Signifikanzniveau – die Idee erklärt
Hypothesentest, p-Wert und weshalb man damit vorsichtig sein muss
p-Wert: einseitiger und beidseitiger Hypothesentest / Signifikanztest – erklärt
p-Werte sind Zufallsgrößen; Signifikanzniveau
Statistische Tests und der p-Wert
Hypothesentest, Signifikanztest, Ablehnungsbereich mit TR bestimmen | Mathe by Daniel Jungn, M
Students t-Test, Hypothesentest der t-Verteilung, t-Test, Mathe by Daniel Jung
Writing a formal inference – the conclusion

Mann-Whitney-U-Test – Voraussetzungen, Funktionsweise und Interpretation – Daten analysieren in SPSS
Kruskal-Wallis-Test in SPSS – Funktionsweise und Interpretation – Daten analysieren in SPSS (21)

How To… Perform the Mann-Whitney U Test (By Hand)

Boxplot

Khan Academy – Boxplot – Wiederholung
Wikipedia – Box-Plot
Box plot
Konfidenzintervall, Vertrauensintervall, Vertrauensbereich und Erwartungsbereich
Confidence interval
Boxplot erstellen, Median, unteres/oberes Quartil, Minimum, Maximum | Mathe by Daniel Jung

Week 3

  • categorical perdictor
  • distribution
  • deviation
  • Gauss / not Gauss
  • Residual plots

Regression analysis
Regressionsanalyse
What is Regression Analysis and Why Should I Use It?
Der Klassiker lineare Regression einfach erklärt – Herleitung und Anwendungsbeispiele
Varianzanalyse (ANOVA)

Logarithmische Skalierung
logarithmieren in diagramm

Week 6

Survival Analysis
12. Summarising Time to Event Data
8. Log-Rank Test for Analysing ‘Time to Event’ Data
What is Survival Analysis | Kaplan-Meier Estimation | Time to Event Model
Survival Models: Introduction to Survival Analysis | Data Science
Survival Analysis in R
Kaplan Meier Survival Analysis
Überlebenszeitanalyse mit R, Kaplan-Meier-Kurve, Lograng-Test, Cox-Regression
tranSMART – Schulungsvideo 03 – Überlebenszeitanalyse
Relatives Risiko und Odds Ratio in Beobachtungsstudien – Statistik Teil 7 – AMBOSS Auditor

Week 7

Wikipedia

Customer Lifetime Value (CLV)
Kundenwert
Deckungsbeitrag
Variable Kosten

KUNDENWERT – Was ist eigentlich…?
So berechnest du deinen KUNDENWERT! (CLV)
Fixe Kosten vs. Variable Kosten – einfach erklärt!
Was ist Abzinsen? Erklärt an einem Beispiel Zinsrechnung

Week 8

Youtube search: time series forecasting
Time Series Analysis – 1 | Time Series in Excel | Time Series Forecasting | Data Science|Simplilearn

Beyoncé macht dumm | Korrelation vs. Kausalität
Statistik: Kovarianz und Korrelation: Grundlagen – FernUni Hagen – Wiwi
Streudiagramm und Korrelation
Kausalität
Regression
Bedeutung Korrelationskoeffizient, linearer Zusammenhang | Mathe by Daniel Jung
Korrelation Was ist das?
Korrelation nach Pearson – Voraussetzungen
Bivariate Korrelation in SPSS (Skalenniveau+korrekte Korrelationsmaße) -Daten analysieren in SPSS(8)

Week 9

Forecasting: Moving Averages, MAD, MSE, MAPE
Demand Forecasting (Exponential Smoothing)
Forecasting – Measurement of error (MAD and MAPE) – Example 2
Forecast Accuracy Mean Average Percentage Error (MAPE)

Week 10

Week 11

K – Means Clustering – Fun and Easy Machine Learning
Hierarchical Clustering – Fun and Easy Machine Learning

MESOSworld – Methodological Education for the Social Sciences (Universität Zürich)

Lerninhalte

Grundlagen

Population und Stichprobe
Population und Stichprobe (PDF)

Univariate Verteilungen

Beschreibung univariater Verteilungen
Grafische Darstellung der Ausprägungen eines Merkmals

Bivariate Verteilungen

Regressionsanalyse

Statistik-Nachhilfe

REGRESSIONSANALYSEN (Prädiktor)
EINFAKTORIELLE & MEHRFAKTORIELLE VARIANZANALYSE (ANOVA)
P-WERT, KRITISCHER WERT
NULLHYPOTHESE, ALTERNATIVHYPOTHESE (GEGENHYPOTHESE), GERICHTETE HYPOTHESE, UNGERICHTETE HYPOTHESE
HYPOTHESENTESTS / SIGNIFIKANZTESTS
TESTTHEORIE
ALPHAFEHLER (FEHLER 1. ART), SIGNIFIKANZNIVEAU
ZENTRALER GRENZWERTSATZ
STOCHASTISCHE MASSZAHLEN

Crashkurs Statistik

Grundgesamtheit, Stichprobe, Merkmale
Parameterschätzung

Steve Brunton – Intro to Data Science

Intro to Data Science

  • Intro to Data Science: Overview
  • Intro to Data Science: Historical Context
  • Intro to Data Science: What is Data Science?
  • Intro to Data Science: Answering Questions with Data
  • Intro to Data Science: The Nature of Data
  • Machine Learning Overview
  • Machine Learning Goals
  • Machine Learning and Cross-Validation
  • Types of Machine Learning 1
  • Types of Machine Learning 2
  • Artificial Intelligence
  • Neural Network Overview
  • Neural Network Architectures
  • Neural Networks and Deep Learning
  • Neural Networks: Caveats
  • Digital Twins
  • Data Visualization: Overview
  • Data Visualization: Types of Data
  • Data Visualization: Storytelling with Data
  • Data Visualization: Buyer Beware

Nominal, Ordinal, Cardinal

M101 Numerals and digits; Cardinal, ordinal and nominal numbers
Scales of Measurement – Nominal, Ordinal, Interval, Ratio (Part 1) – Introductory Statistics
Types of Data: Nominal, Ordinal, Interval/Ratio – Statistics Help

TSM_DataMgmt

An Animated Guide: Knowing SQL Internal Processes makes SQL Easy, makes SQL easy
WHERE-Klausel im Detail

Lecture

Week 3

Postgres Handles More Than You Think
Don’t Do This
B-Baum
AVL-Baum

CTE in SQL

What is the difference between tree depth and height?
Height, Depth and Level of a Tree

Nested set model
Nested Sets
Jede Menge Bäume

Storing hierarchical data: Materialized Path
Trees in SQL: Nested Sets and Materialized Path
Nested Sets and Materialized Path SQL Trees
Trees in SQL : an approach based on materialized paths and normalization for MySQLTrees in SQL : an approach based on materialized paths and normalization for MySQL
Materialized Path in PostgreSQL

Week 4

Install MongoDB Community Edition on Ubuntu

Week 5

“Schema Later” Considered Harmful
Visualization software
Tableau Software
Superset: enterprise-ready web application for data exploration, data visualization and dashboarding
What does Tableau offer that Apache Superset doesn’t?

Week 6

What is the difference between scale-out versus scale-up (architecture, applications, etc.)?

Week 8

Assoziationsanalyse | Video Based Learning
Apriori-Algorithmus | Business Intelligence | Unsupervised Learning
Frequent Pattern (FP) growth Algorithm for Association Rule Mining
Apriori algorithm with complete solved example to find association rules
data mining fp growth | data mining fp growth algorithm | data mining fp tree example | fp growth

Week 9

ID3
C4.5
Decision tree learning
Decision Tree Classification in R

Week 11

K – Means Clustering – Fun and Easy Machine Learning
Hierarchical Clustering – Fun and Easy Machine Learning

Week 13

Minimal Viable Search using Postgres
Unscharfe Suche, Levenshtein-Distanz, N-Grammen, Soundex
PostgreSQL Full Text Search and Trigram Confusion
Victor Lavrenko – Search Engine

MapReduce – Computerphile
PostgreSQL Full Text Search and Trigram Confusion
13.68 MapReduce, Verarbeitung eines MapReduce Jobs auf einem Cluster Victor Lavrenko – Search Engine
Apache Hadoop
MapReduce

Heaps’ law
Zipf’s law

Rest

Step by Step Guide to Dimensional Data Modeling
Introduction to Dimesional Modelling
Business Intelligence: Building Your First Cube
Create First OLAP Cube in SQL Server Analysis Services
Building Your First Data Cube
Dimensional modeling
OLAP-Würfel
OLAP cube

SQL | DDL, DQL, DML, DCL and TCL Commands

Grundbegriffe der Prädikatenlogik
Prolog – Begriffe, (Literal, Klausel, Prädikat)

Wikipedia

Prädikatenlogik
Literale in der mathematischen Logik
Disjunktionsterm
Prädikat (Logik)

Wikipedia

(de)
Relational algebra (en)
Join (SQL) (de)
Join (SQL) (en)
Data Manipulation Language (DML)
Transaction Control Language (TCL)
CRUD
ACID
NoSQL
Dokumentenorientierte Datenbank
Codd’s 12 rules

NULL

NULL in SQL: Platzhalter für fehlende Daten

SQL Functions

Substring function overview

Sakila Databas

MySQL Sakila Sample Database
The Sakila Database
github.com/jOOQ/jOOQ/tree/master/jOOQ-examples/Sakila

JOOQ

A Beginner’s Guide to the True Order of SQL Operations

Datenbankenlernen.de – Prof. Dr. Jens Dittrich

Datenbankenlernen.de
13.XX SQL (Playlist)
13.20 Übersicht über Datenbanksysteme: Welches DBMS für was?
13.21a SQL Standards
13.21b SQL Teilsprachen
13.24 SELECT FROM WHERE
13.44 NULL != NULL
13.46 Unteranfragen mit IN, EXISTS, ALL, ANY
13.48 SQL Datentypen

postgresql

postgresql – can’t create database – OperationalError: source database “template1” is being accessed by other users

PostgreSQL Data Types
PostgreSQL Show Tables
Show tables in PostgreSQL
PostgreSQL Show Databases

Documentation

9.20. Aggregate Functions

SELECT DISTINCT, GROUP BY

SQL – select DISTINCT
Is there any difference between GROUP BY and DISTINCT

NoSQL – Graph Databases

OrientDB

Demo Database

Wikipedia

Multi-model database

YouTube

OrientDB – the 2nd generation of (MultiModel) NoSQL by Luigi Dell’Aquila
Michael Hackstein: Multi-Model NoSQL Databases
Building on Multi-Model Databases

WEKA

Weka 3: Machine Learning Software in Java
Weka Wiki
WEKA API Tutorial: How to use WEKA in JAVA

Windows 10 Boot-Manager (Safe Mode / Abgesicherter Modus)

HP PCs – Abgesicherter Modus von Windows (Windows 10, 8)

bootrec /fixmbr
bootrec /fixboot
bootrec /scanos
bootrec /rebuildbcd
msconfig
diskpart
bcdedit /set {default} safeboot minimal
bcdedit /set {default} safeboot network
bcdedit /set {default} safeboot minimal.
bcdedit /set {default} safebootalternateshell yes
bcdedit /deletevalue {default} safeboot 

Fix: Boorec /Fixboot Element Not Found on Windows
How to Rebuild the BCD in Windows
Anleitung zum Reparieren des EFI-Bootloaders auf einer GPT-Festplattenlaufwerk für Windows 7, 8, 8.1 und 10 auf Ihrem Dell PC
Gelöst: Das angeforderte Systemgerät kann nicht gefunden werden
Windows 10 – Boot-Manager anpassen, entfernen und reparieren