Monday, September 19, 2022

How to Deploy PostgreSQL on Kubernetes {Helm Chart or Manual Config}

postgresql-ha 9.4.4 · bitnami/bitnami. Major Kubernetes. ArtifactHUB

kubernetes/kubernetes: Production-Grade Container Scheduling and Management. Major Kubernetes

Helm Charts to deploy PostgreSQL HA in Kubernetes. Major Kubernetes. Helm.yaml

SCP Linux Command – How to SSH File Transfer from Remote to Local. Winscp. Major Kubernetes. Major Python.

Sources:

https://www.freecodecamp.org/news/scp-linux-command-example-how-to-ssh-file-transfer-from-remote-to-local/


"PuTTYgen is a key generator. It generates pairs of public and private keys to be used with WinSCP. PuTTYgen generates RSADSAECDSA, and EdDSA keys."




Ssh session. Secure connection. How to Use SSH to Connect to a Remote Server in Linux or Windows. Major Kubernetes. Major Python. Putty download

Sunday, September 18, 2022

Watch "Kubernetes Services networking" on YouTube

Watch "Kubernetes Ingress networking" on YouTube

Watch "How Ingress Works | Introduction to Kubernetes" on YouTube

Watch "Docker Tutorial - Part 1 - What is Docker, and Key Concepts" on YouTube

Watch "Introduction to Microservices, Docker, and Kubernetes" on YouTube

Watch "Kubernetes for Beginners - Docker Introduction in 15 Minutes" on YouTube

Watch "What Is Kubernetes? | All Kubernetes Concepts Explained in 9 Minutes | KodeKloud" on YouTube

Watch "Kubernetes - Services Explained in 15 Minutes!" on YouTube

Watch "Network Namespaces Basics Explained in 15 Minutes" on YouTube. Kodekloud.com

Watch "Kubernetes Ingress Explained Completely For Beginners - Updated" on YouTube. Kodekloud.com

Configuring ingress - Kubernetes - KodeKloud - DevOps Learning Community

GitHub - mmumshad/kubernetes-the-hard-way: Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts (no helm etc.).

Major TLS. Certificates!!! Watch "Install Kubernetes from Scratch [13] - TLS Bootstrap Kubelet" on YouTube

Reserved IP addresses. Routing

IPv4

Classless Inter-Domain Routing. Major CIDR Notation. IP protocol, MASKS and addresses. A0 B10 C110 D1110 E1111. Routers. 168.192.0.1 127.1 127.65530. IPv6. IPv4

Source:
https://en.m.wikipedia.org/wiki/Classless_Inter-Domain_Routing#CIDR_notation

Classless Inter-Domain Routing. Major CIDR Notation. IP protocol, MASKS and addresses. A0 B10 C110 D1110 E1111. Routers. 168.192.0.1 127.1 127.65530. IPv6. IPv4

Saturday, September 10, 2022

Convolutional vision Transformer (CvT) that improves Vision Transformer (ViT) in Performance and Efficiency

Ten nadprzewodnik może zrewolucjonizować elektronikę, a inspiracja do jego stworzenia płynie z zaskakującego miejsca. DNA. DRD47R.

Jeden wzór matematyczny... Rewolucja. Jego początki sięgają czasów Einsteina. Dyfuzja poprzez bariery "półprzepuszczalne"...

Brainwave Synchronization. NLP? Major Python?

CQRS and Event Sourcing Intro For Developers

Cykle zlodowacenia Milankovicia. ERA. Glacier. ICE AGE. Starożytni kosmonauci. Cywilizacje. Atlantyda? Potop.

Tego nie wymyślił Google Translator. 5 wpadek przy tłumaczeniu tytułów lektur. NLP?

!!!!! [[[ DEFINITIONS]]] !!!!! Learn Kubernetes - The Easy Way!!! K8S. KEIGHTS.

Queues in Python. Major Python.

Queues in Python. Major Python. Kafka?

ANN. LSTM. arima vs prophet vs lstm. RNN.

Ztachip Accelerates Tensorflow And Image Workloads. Major Python.

Thursday, September 8, 2022

Teby (Grecja!!! ). Mityczny ich król = Edyp.

Thebes, Egypt (LUXOR). Teby.

Testing Kubernetes Operators using EnvTest. Major Kubernetes. K8s

buehler.github.io Test your operator | KubeOps Documentation. Major Kubernetes. Helm.yaml? K8s.

Major Testing Kubernetes Operators- Alternatives and Suggestions. K8s.

Testing your Operator project | Operator SDK. K8s. Major Kubernetes. Helm.yaml? Java to GO?

!!!!! GitHub - operator-framework/operator-sdk: SDK for building Kubernetes applications. !!!!! K8s. Major Kubernetes. Helm.yaml? Java to GO?!!!!

https://github.com/operator-framework/operator-sdk


GitHub - operator-framework/operator-sdk: SDK for building Kubernetes applications. Provides high level APIs, useful abstractions, and project scaffolding. K8s. Major Kubernetes. Helm.yaml? Java to GO? 


Java Operator :: Operator SDK.K8s. Major Kubernetes. Helm.yaml? Java to GO? How-to

Kube by Example. K8s. Major Kubernetes. Helm.yaml? Java to GO? How to...

Go Operator Tutorial | Operator SDK. K8s. Major Kubernetes. Helm.yaml? Java to GO?

K8s. How to Run Databases in Kubernetes. Stateless vs. Stateful. WITH OPERATOR?

Major Python. Reverse List.

Watch "Kubernetes in 5 mins" on YouTube. K8s. VMware

https://kube.academy/ K8s. Kubernetes

Tuesday, September 6, 2022

Long short-term memory. LSTM. Gated recurrent unit. GRU.


LSTM
Source:
https://en.m.wikipedia.org/wiki/Long_short-term_memory

"Long short-term memory (LSTM) is an artificial neural network used in the fields of artificial intelligence and deep learning

Unlike standard feedforward neural networks, LSTM has feedback connections. 

Such a recurrent neural network (RNN) can process not only single data points (such as images), but also entire sequences of data (such as speech or video). 

For example, LSTM is applicable to tasks such as unsegmented, connected:
robot control,
* video games,
* and healthcare.

LSTM has become the most cited neural network of the 20th century." !!! 


------

GRU
Source:


"The GRU is like a long short-term memory (LSTM) with a forget gatebut has fewer parameters than LSTM, as it lacks an output gate. 

GRU's performance on certain tasks of polyphonic music modeling, speech signal modeling and natural language processing was found to be similar to that of LSTM. 

GRUs have been shown to exhibit better performance on certain smaller and less frequent datasets."


Self-organizing (feature) map. SOFM. SOM. U-MATRIX. ANN.

ANN vs CNN vs RNN | Types of Neural Networks. MLP.

An Overview of Deep Belief Network (DBN) in Deep Learning. RBM. Major Python.

generative models - Restricted Boltzmann Machines vs GAN. Generation and Generalization Methods for Energy-Based Models. EBM


generative models - Restricted Boltzmann Machines vs GAN - Cross Validated:
Source:
https://stats.stackexchange.com/questions/338328/restricted-boltzmann-machines-vs-gan


"RBM is sort of a layer 
whereas GAN is an architecture

GANs are composed of two parts for which you can use different networks - convolutional (CNN), fully connected etc., 
.... whereas RBMs define joint probability on one layer of visible and hidden units." 


"GANs are known to be hard to train. That said, they are more general (since you can plug in anything you like as encoder and decoder) 

so this comparison doesn't make much sense (it's sort of like comparing linear regression to neural networks for regression)."

--------

Implicit Generation and Generalization Methods for Energy-Based Models. EBM:




Restricted Boltzmann machine. RBM. BM. ANN

Source:
https://en.m.wikipedia.org/wiki/Restricted_Boltzmann_machine


"RBMs have found applications in:

They can be trained in either supervised or unsupervised ways, depending on the task.

As their name implies, RBMs are a variant of Boltzmann machines, with the restriction that their neurons must formbipartite graph: a pair of nodes from each of the two groups of units (commonly referred to as the "visible" and "hidden" units respectively) may have a symmetric connection between them; and there are no connections between nodes within a group. 


By contrast, "unrestricted" Boltzmann machines may have connections between hidden units

This restriction allows for more efficient training algorithms than are available for the general class of Boltzmann machines, in particular... 

the gradient-based contrastive divergence algorithm."

Autoencoders. ANN

Deep belief network. DBN. Autoencoders. RBM.

https://en.m.wikipedia.org/wiki/Deep_belief_network


"DBN can learn to probabilistically reconstruct its inputs. The layers then act as feature detectors. After this learning step, a DBN can be further trained with supervision to perform classification.

DBNs can be viewed as a composition of simple, unsupervised networks such as restricted Boltzmann machines (RBMs) or autoencoders, where each sub-network's hidden layer serves as the visible layer for the next. 

(...) 

Overall, there are many attractive implementations and uses of DBNs in real-life applications and scenarios (e.g., electroencephalography, drug discovery)."


Major Python. What's the Difference Between CNN and RNN?

Source:

Simply speaking:

CNN=no history. No story storage. No before sequence, no next sequence. Visual processing and object classification and detection of the current "photo".

RNN=the current sequence with "all" old sequences. Like a sentence structure to detect the whole meaning from words, word groups and entities (president, location, street name etc.) and old  sentences before. 

"What's the difference between CNN and RNN?


The main difference between a CNN and an RNN is the ability to process temporal information — data that comes in sequences, such as a sentence. Recurrent neural networks are designed for this very purpose, while convolutional neural networks are incapable of effectively interpreting temporal information. As a result, CNNs and RNNs are used for completely distinct purposes, and there are differences in the structures of the neural networks themselves to fit those different use cases.

CNNs employ filters within convolutional layers to transform data (more on that later), whereas RNNs are predictive, reusing activation functions from other data points in the sequence to generate the next output in a series."


"President Roosevelt was one of the most influential presidents in American history. However, Roosevelt Street in Manhattan was not named after him." 

But especially can we build recursive-CNN to analyse oline video movies data in real time? 
Can we? 

Major Python. CNN for Deep Learning | Convolutional Neural Networks. What is CONVOLUTION?

Source:
https://www.analyticsvidhya.com/blog/2021/05/convolutional-neural-networks-cnn/


"Now when we think of a neural network we think about matrix multiplications, but that is not the case with ConvNet.

It uses a special technique called Convolution. Now in mathematics convolution is a... 
mathematical operation on two functions that produces a third function... 
that expresses how the shape of one is modified by the other."

And now imagine the photo with cat, duck and dog at the same time.
The output is not an animal, but three or more...
...with information where every animal is placed at the photo. 

ANN vs CNN vs RNN | Types of Neural Networks

Major Python. When to Use MLP, CNN, and RNN Neural Networks

Sunday, September 4, 2022

A tutorial on simulation-based inference - astro automata. (astro data!). Python.

delfi for Python. mackelab.

Major: Delphi !!! (software). Borland. C++ Builder. IDE. RAD. Turbo Pascal compiler. An ancient ages of programming? :-)

Delfy. Apollo. Pyton. Pytia. Wyrocznia. Krew Pytona.

https://pl.m.wikipedia.org/wiki/Delfy

Według jednego z mitów, w Delfach spotkały się dwa orły wysłane przez Zeusa z krańców wszechświata dla znalezienia tzw. pępka świata. 

Według innego mitu, w Delfach znajdowało się sanktuarium Gai – Matki Ziemi, strzeżone przez węża Pytona, którego pokonał Apollo ustanowiając tam wyrocznię. 

Batalia Apollina z Pytonem i początki wyroczni zostały opisane przez Homera w Hymnie do Apollina. 

Przepowiednie Apollina przekazywała Pytia siedząca nad szczeliną, z której wydobywały się „opary". 

Pierwszymi kapłanami Apollina byli Kreteńczycy z Knossos, których przywiódł do Kiry nieopodal Delf Apollin pod postacią delfina. 

Wprowadzili oni kult Apollina Delphinosa (pol. „Apollina Delfina"), zmieniając prawdopodobnie nazwę sanktuarium z Pyto na Delfi. 

Sfinks (mitologia grecka). Edyp. Zagadka. Chroniony dostęp do Teb.

Sfinks

Major Sphinx

Sphinx (documentation generator) in Python. Major generator.

Saturday, September 3, 2022

Event Streaming and Event Sourcing: The major Key Differences

Machine Learning Systems versus Machine Learning Models. Major differences

Python script. Search.

MAJOR DEV&OPS trends. DEVOPS.

Top major 10 Hidden Python Features to Learn...

History of AI, (Chapter # 1, AI Handbook). Alan Turing

MAJOR PYTHON. The Complete Guide to Time Series Forecasting Using Sklearn, Pandas, and Numpy

Major microservices pattern: event-sourcing. DDD. CQRS.

Cqrs and event sourcing

CQRS and Event Sourcing in Java. Major design patterns.