Articles

Praca z Plikami 馃嚨馃嚤

Obs艂uga plik贸w jest przydatn膮 umiej臋tno艣ci膮 przy pisaniu aplikacji w C i C++. Praca z plikami pozwala na trwa艂e przechowywanie danych, kt贸re mog膮 by膰 p贸藕niej odczytywane i przetwarzane przez program. Dzi臋ki temu aplikacje mog膮 zachowywa膰 stan mi臋dzy uruchomieniami, przechowywa膰 konfiguracje, logi, a...

Atomicity 馃嚭馃嚫

Atomicity is a fundamental principle in database systems that ensures each transaction is processed as an indivisible unit. This means that all operations within a transaction must be completed successfully for the transaction to be committed to the database. If any operation fails, the entire trans...

Watki 馃嚨馃嚤

W膮tki to jednostki wykonawcze procesu, kt贸re umo偶liwiaj膮 r贸wnoleg艂e wykonanie r贸偶nych fragment贸w kodu w obr臋bie jednego programu. Zastosowanie w膮tk贸w mo偶e znacz膮co przyspieszy膰 dzia艂anie aplikacji, zw艂aszcza gdy mamy do czynienia z operacjami blokuj膮cymi, takimi jak 艂膮czenie si臋 z zewn臋trznymi serwe...

Brain Teasers 馃嚭馃嚫

Programming puzzles and brain teasers are excellent tools for testing and enhancing your coding abilities and problem-solving skills. They are frequently used in technical interviews to evaluate a candidate's logical thinking, analytical prowess, and ability to devise efficient algorithms. To excel ...

Applying Machine Learning Advice 馃嚭馃嚫

When facing high error rates with a machine learning model, especially when tested on new data, various strategies can be employed to diagnose and address the problem...

Backward Difference 馃嚭馃嚫

The backward difference method is a finite difference technique employed to approximate the derivatives of functions. Unlike the forward difference method, which uses information from points ahead of the target point, the backward difference method relies on function values from points preceding the...

Programowanie Obietkowe 馃嚨馃嚤

Programowanie obiektowe (ang. Object-Oriented Programming, OOP) to obecnie jeden z najwa偶niejszych i najpowszechniej stosowanych paradygmat贸w w in偶ynierii oprogramowania. Jego g艂贸wne za艂o偶enie polega na tym, aby w procesie tworzenia oprogramowania dzieli膰 skomplikowane problemy na mniejsze, 艂atwiejs...

Ldap 馃嚭馃嚫

LDAP is a protocol used to access and manage directory information over an IP network. It is open, vendor-neutral, and an industry standard. LDAP is commonly used for centralized authentication, where user credentials and permissions are managed in a single directory and applied across multiple syst...

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...

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...

Monte Carlo 馃嚭馃嚫

Monte Carlo integration is a numerical technique for approximating integrals using randomness. Rather than systematically sampling a function at predetermined points, as done in methods like the trapezoidal rule or Simpson鈥檚 rule, Monte Carlo methods rely on random samples drawn from a prescribed do...

Wyjatki 馃嚨馃嚤

Wyj膮tki w programowaniu to mechanizm pozwalaj膮cy na obs艂ug臋 nieoczekiwanych sytuacji, kt贸re mog膮 wyst膮pi膰 podczas dzia艂ania programu. W Pythonie s膮 one kluczowe dla tworzenia niezawodnych aplikacji, kt贸re potrafi膮 radzi膰 sobie z b艂臋dami w spos贸b elegancki i kontrolowany. Dzi臋ki wyj膮tkowym mo偶emy nie...

Introduction to Version Control 馃嚭馃嚫

Git is a powerful and widely used version control system that helps you manage code changes, work with others, and keep projects safe. Think of it as a digital timeline you can jump back to whenever something goes wrong. Here are some straightforward reasons to learn Git...

Instrukcja Warunkowa 馃嚨馃嚤

Instrukcje warunkowe stanowi膮 podstawowy mechanizm kontroli przep艂ywu w praktycznie ka偶dym j臋zyku programowania, w tym w C++. Pozwalaj膮 one na wykonywanie okre艣lonych fragment贸w kodu tylko w贸wczas, gdy spe艂niony jest ustalony warunek. Dzi臋ki temu programy mog膮 podejmowa膰 decyzje i reagowa膰 na bie偶膮c...

Zmienne i Typy Danych 馃嚨馃嚤

W j臋zyku programowania, zmienna to identyfikator reprezentuj膮cy okre艣lony obszar pami臋ci, w kt贸rym przechowywane s膮 dane. Ka偶da zmienna ma przypisany konkretny typ danych, kt贸ry informuje komputer o rodzaju i zakresie informacji przechowywanej w zmiennej. Typ danych okre艣la tak偶e operacje, jakie mo偶...

Pliki Wykonywalne i Pyinstaller 馃嚨馃嚤

Tworzenie plik贸w wykonywalnych z kodu Python to skuteczny spos贸b na dostarczenie aplikacji u偶ytkownikom, kt贸rzy nie maj膮 zainstalowanego interpretera Pythona na swoim komputerze. Jest to szczeg贸lnie przydatne w 艣rodowiskach korporacyjnych oraz w艣r贸d u偶ytkownik贸w niezwi膮zanych z programowaniem, gdzie...

Conditional Probability 馃嚭馃嚫

Conditional Probability is the likelihood of an event occurring given that another event has already occurred. It is denoted as $P(A|B)$, representing the probability of event $A$ happening, assuming event $B$ has already taken place. This concept is crucial in understanding dependent events in prob...

Data Control Language Dcl 馃嚭馃嚫

Welcome back to our journey through SQL! Today, we're diving into the world of Data Control Language, or DCL for short. If you've ever wondered how databases manage permissions and keep data secure, DCL is the key. Think of it as the security guard of your database, controlling who can access or mod...

Querying Nosql Databases 馃嚭馃嚫

Querying NoSQL databases requires a different approach compared to relational databases due to their diverse data models and storage mechanisms. This guide focuses on MongoDB, a popular NoSQL database, and explores how to query data effectively using its powerful query language...

Basic Terminology 馃嚭馃嚫

Let's start by defining some helpful 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 th...

Proces Kompilacji 馃嚨馃嚤

Proces kompilacji to z艂o偶ony ci膮g etap贸w, kt贸ry przekszta艂ca kod 藕r贸d艂owy napisany w j臋zyku wysokiego poziomu na kod maszynowy zrozumia艂y dla procesora. Kompilacja zapewnia, 偶e kod jest poprawny pod wzgl臋dem sk艂adniowym i semantycznym, a tak偶e optymalizuje go pod k膮tem wydajno艣ci. Poni偶ej szczeg贸艂ow...

Points of Confusion 馃嚭馃嚫

Git is a powerful tool, but its complexity often puzzles newcomers. Let鈥檚 break down some typical areas where users get tripped up in simpler terms...

Postgresql 馃嚭馃嚫

Supports ACID transactions, ensuring data consistency and reliability...

Wyjatki 馃嚨馃嚤

W programowaniu, wyj膮tki s艂u偶膮 jako mechanizm do sygnalizowania i obs艂ugi nieoczekiwanych sytuacji, kt贸re mog膮 wyst膮pi膰 podczas dzia艂ania programu. Cho膰 wyj膮tki cz臋sto s膮 u偶ywane w odpowiedzi na b艂臋dy, nie ka偶dy wyj膮tek musi wynika膰 z b艂臋du. Wyj膮tek mo偶e by膰 r贸wnie偶 艣rodkiem do poinformowania innych...

Time Series 馃嚭馃嚫

Time series data consists of sequential observations collected over a period of time. This kind of data is prevalent in a range of fields such as finance, economics, climatology, and more. Time series analysis involves the exploration of this data to identify inherent structures such as patterns or ...

Moving Average Models 馃嚭馃嚫

Moving Average (MA) models are a fundamental class of univariate time series models used for forecasting and understanding temporal data. Unlike Autoregressive (AR) models, which rely on past values of the series itself, MA models utilize past forecast errors to model the current value of the series...

Review of Linear Algebra 馃嚭馃嚫

Linear Algebra forms the backbone of many machine learning algorithms, including linear regression. Understanding matrices and vectors is fundamental in this context...

Student T Distribution 馃嚭馃嚫

The Student's t-distribution, or simply t-distribution, is a continuous probability distribution that arises when estimating the mean of a normally distributed population in situations where the sample size is small and the population standard deviation is unknown. The t-distribution is denoted as ...

Funkcje 馃嚨馃嚤

Funkcje s膮 jednym z kluczowych narz臋dzi w programowaniu, kt贸re pozwalaj膮 na podzielenie kodu na mniejsze, zarz膮dzalne cz臋艣ci. Funkcje sk艂adaj膮 si臋 z deklaracji (nazwa, typ zwracany, argumenty) i definicji (cia艂o funkcji)...

Create Repository 馃嚭馃嚫

Git is a version control system (VCS) created by Linus Torvalds, the same person who started the Linux operating system. It鈥檚 designed to help developers track changes to their projects over time. Think of it like a camera for your code: it takes snapshots of each change, so you can always revert to...

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...

Introduction to Probability 馃嚭馃嚫

Probability theory offers a structured approach to assessing the probability of events, allowing for logical and systematic reasoning about their likelihood...

Random Walk 馃嚭馃嚫

The random walk is a fundamental and widely used time series model, often applied in finance to represent stock prices and other economic indicators. The idea behind the random walk is that the value of the process at time $t$ is the sum of its value at time $t-1$ and a random shock (or noise). Esse...

Gaussian Elimination 馃嚭馃嚫

Gaussian elimination is a fundamental algorithmic procedure in linear algebra used to solve systems of linear equations, find matrix inverses, and determine the rank of matrices. The procedure systematically applies elementary row operations to transform a given matrix into an upper-triangular form ...

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, ...