Articles

Matrix Operations 馃嚭馃嚫

A matrix is a systematic arrangement of numbers (or elements) in rows and columns. An m 脳 n matrix has m rows and n columns. The dimensions of the matrix are represented as m 脳 n...

Animations 馃嚭馃嚫

VTK offers a set of tools to create animations and visualize time-varying data. This is particularly useful in scenarios such as...

Evaluating Performance 馃嚭馃嚫

Evaluating the performance of parallel computing systems is crucial for understanding their efficiency and identifying potential bottlenecks. Here are key metrics and concepts for evaluating performance...

Asynchronous Programming 馃嚭馃嚫

Asynchronous programming is a technique used to achieve concurrency, where tasks can be executed independently without waiting for other tasks to finish. It allows for nonblocking behavior, in contrast to synchronous execution that waits for one task to complete before starting the next task...

Introduction 馃嚭馃嚫

Linux is a versatile and powerful open-source operating system that forms the backbone of countless technological infrastructures, from servers and desktops to mobile devices and embedded systems. Known for its stability, security, and flexibility, Linux provides a robust platform that can be custom...

Multiprocessing 馃嚭馃嚫

Multiprocessing involves running multiple processes simultaneously. Each process has its own memory space, making them more isolated from each other compared to threads, which share the same memory. This isolation means that multiprocessing can be more robust and less prone to errors from shared sta...

Package Managers 馃嚭馃嚫

Debian and Ubuntu are popular Linux distributions for home users. These distributions and their derivatives use the Advanced Package Tool (APT). Other distributions use alternative package managers, like DNF, YUM, Pacman, which have unique functionalities and syntax...

Observing Repository 馃嚭馃嚫

Git's powerful suite of commands offers an insightful look into your codebase's progression. By probing changes, tracking progress, identifying anomalies, and fostering effective collaboration becomes easier...

Basic Terminology 馃嚭馃嚫

Let's start by defining some key terms and emphasizing the distinctions between related concepts. In general those concepts are universal and may be applied to any programming language. The differences between the languages will be discussed in greater detail later, when we attempt to explain the sp...

Synchronization 馃嚭馃嚫

When collaborating on a project, it's essential to keep your local repository updated with changes made by others in the team. Git provides powerful commands to facilitate this process...

Stashing Files 馃嚭馃嚫

In Git terminology, "stashing" refers to temporarily saving changes that are not ready to be committed. This allows you to switch branches or make other changes without losing your work...

Create Repository 馃嚭馃嚫

Git is a robust and feature-rich version control system (VCS) created by Linus Torvalds, the creator of Linux. A VCS is a software tool that helps software developers manage changes to source code over time. It assists developers in tracking different versions of their code, enabling them to revert ...

Git Server 馃嚭馃嚫

Creating your own Git server offers increased control, enhanced security, and a tailor-made environment for your repositories. It's a great alternative to relying on services like GitHub or GitLab, especially for personal projects or within an organization. Here's an expanded guide to set up a Git s...

Mono and Multi Repo 馃嚭馃嚫

A monorepo is a single repository that contains all the code for a project, including multiple applications, libraries, and other dependencies. Monorepos are more suitable for large, monolithic projects where there is a need for close collaboration and frequent code reuse...

Introduction to Version Control 馃嚭馃嚫

Git is a powerful and widely-used version control system that is essential for managing code changes, collaborating with others, and maintaining the integrity of your projects. Here are several reasons why learning Git can be highly beneficial...

Making Changes 馃嚭馃嚫

At the core of Git are a few fundamental actions: staging changes, committing those changes, and, when necessary, undoing certain actions. These notes provide a clear overview of these basic operations and some common scenarios where they are used...

Tags 馃嚭馃嚫

Tags are references to specific points in Git history. They can be used to mark important milestones, such as releases, and provide a way to refer to specific commits in a repository...

Squashing Commits 馃嚭馃嚫

In the world of Git, the iterative development process often results in multiple commits for minor changes. But before merging changes to a primary branch, it's valuable to have a clean, linear history. This is where the concept of "squashing" steps in...

Hardware 馃嚭馃嚫

Parallel computing is the process of breaking a task into smaller parts that can be processed simultaneously by multiple processors. These notes explore the different ways of achieving parallelism in hardware and their impact on parallel computing performance...

Introduction to Machine Learning 馃嚭馃嚫

Machine Learning (ML), a subset of artificial intelligence, is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions. It relies on patterns and inference instead. ML algorithms build a mathematic...

Linear Regression 馃嚭馃嚫

Linear Regression is a fundamental type of supervised learning algorithm in statistics and machine learning. It's utilized for modeling and analyzing the relationship between a dependent variable and one or more independent variables. The goal is to predict continuous output values based on the inpu...

Neural Networks Learning 馃嚭馃嚫

Neural networks, a core algorithm in machine learning, draw inspiration from the human brain's structure and function. They consist of layers containing interconnected nodes (neurons), each designed to perform specific computational tasks. Neural networks can tackle various classification problems, ...

Linear Regression Multiple Variables 馃嚭馃嚫

Multiple linear regression extends the concept of simple linear regression to multiple independent variables. This technique models a dependent variable as a linear combination of several independent variables...

Neural Networks Representation 馃嚭馃嚫

Neural networks represent a cornerstone in the field of machine learning, drawing inspiration from neurological processes within the human brain. These networks excel in processing complex datasets with numerous features, transcending traditional methods like logistic regression in both scalability ...

Visualization Techniques 馃嚭馃嚫

VTK offers a powerful array of advanced visualization techniques. These are essential for the effective representation and understanding of complex data types. VTK supports visualization of scalar, vector, and tensor fields, among others. The process typically involves mapping data elements to graph...

Filters and Algorithms 馃嚭馃嚫

One of the key components of VTK is its extensive range of filters and algorithms, which are designed to process, manipulate, and generate data objects. Here鈥檚 an overview of how these filters and algorithms function and their significance...

Integration with Other Tools 馃嚭馃嚫

VTK is a versatile library that can be integrated with a wide range of other tools and libraries to further enhance its functionality and provide a more user-friendly interface. Some key integrations include...

Performance Optimization and Parallelism 馃嚭馃嚫

There are several techniques to optimize performance and leverage parallelism for your visualization applications. Here are some of them...

Api wraz z Fastapi 馃嚨馃嚤

FastAPI to nowoczesne, wydajne i 艂atwe w u偶yciu narz臋dzie do tworzenia API w Pythonie. Za jego popularno艣膰 odpowiada prostota tworzenia aplikacji, wbudowana walidacja danych oraz automatyczne generowanie dokumentacji...

Jupyter Notebooks 馃嚨馃嚤

Jupyter Notebooks to zaawansowane 艣rodowisko pracy umo偶liwiaj膮ce tworzenie i udost臋pnianie interaktywnych dokument贸w, kt贸re integruj膮 kod z bogatymi tre艣ciami multimedialnymi takimi jak teksty, wykresy, animacje, a nawet elementy interaktywne. Chocia偶 najcz臋艣ciej kojarzone z j臋zykiem Python, Jupyter...

Pandas i Csv 馃嚨馃嚤

Pandas to pot臋偶na biblioteka w j臋zyku Python, przeznaczona do analizy i przetwarzania danych. Jednym z kluczowych zastosowa艅 Pandas jest obs艂uga plik贸w CSV (Comma-Separated Values). Biblioteka ta udost臋pnia funkcje takie jak to_csv() do zapisywania ramki danych (DataFrame) do pliku CSV oraz read_csv...

Generatory 馃嚨馃嚤

Generator to specjalny rodzaj funkcji w Pythonie, kt贸ry umo偶liwia zwracanie warto艣ci pojedynczo zamiast wszystkich naraz, tak jak w przypadku listy lub innego iterowalnego obiektu. Dzi臋ki temu generatory s膮 bardziej wydajne pod wzgl臋dem zu偶ycia pami臋ci, poniewa偶 nie musz膮 przechowywa膰 ca艂ej kolekcji...

Dbanie o Jakosc Kodu 馃嚨馃嚤

Kod mo偶e by膰 sk艂adniowo poprawny, ale jednocze艣nie nieczytelny lub 藕le zorganizowany. Przestrzeganie pewnych standard贸w i konwencji pisania kodu jest niezb臋dne, zw艂aszcza gdy w projekcie uczestniczy wielu programist贸w. Konwencje te opisane s膮 w dokumentach PEP (Python Enhancement Proposals), a w艣r贸d...

Zmienne 馃嚨馃嚤

Zmienne pe艂ni膮 kluczow膮 rol臋 w programowaniu, umo偶liwiaj膮c przechowywanie i manipulacj臋 danymi. Dzi臋ki nim mo偶emy zapisywa膰, modyfikowa膰 i odzyskiwa膰 warto艣ci w trakcie wykonywania programu. Zrozumienie zmiennych i ich typ贸w jest podstaw膮 do pisania efektywnego i poprawnego kodu...

Pip i Pypi 馃嚨馃嚤

PIP (Python Package Installer) to mened偶er pakiet贸w dla j臋zyka Python, kt贸ry u艂atwia zarz膮dzanie pakietami z repozytorium PyPI (Python Package Index). PIP pozwala na 艂atw膮 instalacj臋, aktualizacj臋 i usuwanie pakiet贸w, co jest nieocenione przy rozbudowie projekt贸w i zarz膮dzaniu zale偶no艣ciami...