#Python loop performance

[trendingnow3-blog]

Day-5: Mastering Python Loops

Python Boot Camp-2023: Day-5

Python Loop: A Powerful Tool for Iterative Tasks Python, one of the most popular programming languages, offers a wide range of features and functionalities. Among these, loops stand out as a powerful tool for performing repetitive tasks. In this article, we’ll explore Python loops, their types, usage, and best practices to optimize your code. 1. Introduction to Python Loops Loops are essential…

[all-mimsy]

A Pathologic 3 Quarantine Fanmix.

(For when you spent your hot girl summer trapped in a time loop fighting the plague.)

KiNG MALA • I Only Smoke To Feel Bad Charli xcx • Sympathy Is A Knife Will Jay • I Need Control UPSAHL • Thriving Ashnikko • Chokehold Cherry Python Lady Gaga • Disease Billie Elish • Therefore I Am Sophie Powers • Better On Mute Lilyisthatyou • RELAX AFTER WORK WITH A DRINK SOFIA ISELLA • Cacao and Cocaine Fionn • I Might Start Smoking Halsey • Ego Rebecca Black • Performer Coyote Kid • Dark Science

... You know, as a child, I never understood sewing machines. How did the needle keep going in and out of the cloth, without ripping out the thread on its way back?

[digitaldetoxworld]

Python Programming Language: A Comprehensive Guide

 Python is one of the maximum widely used and hastily growing programming languages within the world. Known for its simplicity, versatility, and great ecosystem, Python has become the cross-to desire for beginners, professionals, and organizations across industries.

What is Python used for

🐍 What is Python?

Python is a excessive-stage, interpreted, fashionable-purpose programming language.  The language emphasizes clarity, concise syntax, and code simplicity, making it an excellent device for the whole lot from web development to synthetic intelligence.

Its syntax is designed to be readable and easy, regularly described as being near the English language. This ease of information has led Python to be adopted no longer simplest through programmers but also by way of scientists, mathematicians, and analysts who may not have a formal heritage in software engineering.

📜 Brief History of Python

Late Nineteen Eighties: Guido van Rossum starts work on Python as a hobby task.

1991: Python zero.9.0 is released, presenting classes, functions, and exception managing.

2000: Python 2.Zero is launched, introducing capabilities like list comprehensions and rubbish collection.

2008: Python 3.Zero is launched with considerable upgrades but breaks backward compatibility.

2024: Python three.12 is the modern day strong model, enhancing performance and typing support.

⭐ Key Features of Python

Easy to Learn and Use:

Python's syntax is simple and similar to English, making it a high-quality first programming language.

Interpreted Language:

Python isn't always compiled into device code; it's far done line by using line the usage of an interpreter, which makes debugging less complicated.

Cross-Platform:

Python code runs on Windows, macOS, Linux, and even cell devices and embedded structures.

Dynamic Typing:

Variables don’t require explicit type declarations; types are decided at runtime.

Object-Oriented and Functional:

Python helps each item-orientated programming (OOP) and practical programming paradigms.

Extensive Standard Library:

Python includes a rich set of built-in modules for string operations, report I/O, databases, networking, and more.

Huge Ecosystem of Libraries:

From data technological know-how to net development, Python's atmosphere consists of thousands of programs like NumPy, pandas, TensorFlow, Flask, Django, and many greater.

📌 Basic Python Syntax

Here's an instance of a easy Python program:

python

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def greet(call):

    print(f"Hello, call!")

greet("Alice")

Output:

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Hello, Alice!

Key Syntax Elements:

Indentation is used to define blocks (no curly braces  like in different languages).

Variables are declared via task: x = 5

Comments use #:

# This is a remark

Print Function:

print("Hello")

📊 Python Data Types

Python has several built-in data kinds:

Numeric: int, go with the flow, complicated

Text: str

Boolean: bool (True, False)

Sequence: listing, tuple, range

Mapping: dict

Set Types: set, frozenset

Example:

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age = 25             # int

name = "John"        # str

top = 5.Nine         # drift

is_student = True    # bool

colors = ["red", "green", "blue"]  # listing

🔁 Control Structures

Conditional Statements:

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if age > 18:

    print("Adult")

elif age == 18:

    print("Just became an person")

else:

    print("Minor")

Loops:

python

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for color in hues:

    print(coloration)

while age < 30:

    age += 1

🔧 Functions and Modules

Defining a Function:

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def upload(a, b):

    return a + b

Importing a Module:

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import math

print(math.Sqrt(sixteen))  # Output: four.0

🗂️ Object-Oriented Programming (OOP)

Python supports OOP functions such as lessons, inheritance, and encapsulation.

Python

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elegance Animal:

    def __init__(self, call):

        self.Call = name

def communicate(self):

        print(f"self.Call makes a valid")

dog = Animal("Dog")

dog.Speak()  # Output: Dog makes a legitimate

🧠 Applications of Python

Python is used in nearly each area of era:

1. Web Development

Frameworks like Django, Flask, and FastAPI make Python fantastic for building scalable web programs.

2. Data Science & Analytics

Libraries like pandas, NumPy, and Matplotlib permit for data manipulation, evaluation, and visualization.

Three. Machine Learning & AI

Python is the dominant language for AI, way to TensorFlow, PyTorch, scikit-research, and Keras.

4. Automation & Scripting

Python is extensively used for automating tasks like file managing, device tracking, and data scraping.

Five. Game Development

Frameworks like Pygame allow builders to build simple 2D games.

6. Desktop Applications

With libraries like Tkinter and PyQt, Python may be used to create cross-platform computing device apps.

7. Cybersecurity

Python is often used to write security equipment, penetration trying out scripts, and make the most development.

📚 Popular Python Libraries

NumPy: Numerical computing

pandas: Data analysis

Matplotlib / Seaborn: Visualization

scikit-study: Machine mastering

BeautifulSoup / Scrapy: Web scraping

Flask / Django: Web frameworks

OpenCV: Image processing

PyTorch / TensorFlow: Deep mastering

SQLAlchemy: Database ORM

💻 Python Tools and IDEs

Popular environments and tools for writing Python code encompass:

PyCharm: Full-featured Python IDE.

VS Code: Lightweight and extensible editor.

Jupyter Notebook: Interactive environment for statistics technological know-how and studies.

IDLE: Python’s default editor.

🔐 Strengths of Python

Easy to study and write

Large community and wealthy documentation

Extensive 0.33-birthday celebration libraries

Strong support for clinical computing and AI

Cross-platform compatibility

⚠️ Limitations of Python

Slower than compiled languages like C/C++

Not perfect for mobile app improvement

High memory usage in massive-scale packages

GIL (Global Interpreter Lock) restricts genuine multithreading in CPython

🧭 Learning Path for Python Beginners

Learn variables, facts types, and control glide.

Practice features and loops.

Understand modules and report coping with.

Explore OOP concepts.

Work on small initiatives (e.G., calculator, to-do app).

Dive into unique areas like statistics technological know-how, automation, or web development.

[krnetwork]

Unlock the Power of Python Programming: A Complete Guide

Python programming has become one of the most sought-after skills in the world of technology. Its simplicity, flexibility, and vast ecosystem of libraries make it a top choice for both beginners and experienced developers. In this guide, we will explore various aspects of Python programming, from basic concepts to advanced applications like machine learning and web development.

Python Programming: A Beginner-Friendly Language

Python programming is renowned for its readability and straightforward syntax, making it ideal for beginners. Whether you are just starting to code or transitioning from another language, Python offers a smooth learning curve. Key Python programming concepts include variables, data types, and control structures, which are essential for writing functional code.

Python Data Structures: Organizing Data Efficiently

One of the core strengths of Python programming is its rich set of data structures. Lists, dictionaries, tuples, and sets help you store and manage data effectively. Understanding Python data structures allows you to create more efficient programs by organizing and manipulating data effortlessly.

Functions in Python Programming: Building Reusable Code

Functions are a fundamental part of Python programming. They allow you to break down complex problems into smaller, reusable chunks of code. Python functions not only promote code reusability but also make your programs more organized and easier to maintain.

Loops in Python Programming: Automating Repeated Tasks

Loops are an essential feature in Python programming, allowing you to perform repeated operations efficiently. With Python loops such as for and while, you can iterate over sequences or perform tasks until a specific condition is met. Mastering loops is a key part of becoming proficient in Python.

Object-Oriented Programming in Python: Structured Development

Python programming supports object-oriented programming (OOP), a paradigm that helps you build structured and scalable software. OOP in Python allows you to work with classes and objects, making it easier to model real-world scenarios and design complex systems in a manageable way.

Python Automation Scripts: Simplify Everyday Tasks

Python programming can be used to automate repetitive tasks, saving you time and effort. Python automation scripts can help with file management, web scraping, and even interacting with APIs. With Python libraries like os and shutil, automation becomes a breeze.

Python Web Development: Creating Dynamic Websites

Python programming is also a popular choice for web development. Frameworks like Django and Flask make it easy to build robust, scalable web applications. Whether you're developing a personal blog or an enterprise-level platform, Python web development empowers you to create dynamic and responsive websites.

APIs and Python Programming: Connecting Services

Python programming allows seamless integration with external services through APIs. Using libraries like requests, you can easily interact with third-party services, retrieve data, or send requests. This makes Python an excellent choice for building applications that rely on external data or services.

Error Handling in Python Programming: Writing Resilient Code

Python programming ensures that your code can handle unexpected issues using error handling mechanisms. With try-except blocks, you can manage errors gracefully and prevent your programs from crashing. Error handling is a critical aspect of writing robust and reliable Python code.

Python for Machine Learning: Leading the AI Revolution

Python programming plays a pivotal role in machine learning, thanks to powerful libraries like scikit-learn, TensorFlow, and PyTorch. With Python, you can build predictive models, analyze data, and develop intelligent systems. Machine learning with Python opens doors to exciting opportunities in artificial intelligence and data-driven decision-making.

Python Data Science: Turning Data Into Insights

Python programming is widely used in data science for tasks such as data analysis, visualization, and statistical modeling. Libraries like pandas, NumPy, and Matplotlib provide Python programmers with powerful tools to manipulate data and extract meaningful insights. Python data science skills are highly in demand across industries.

Python Libraries Overview: Tools for Every Task

One of the greatest advantages of Python programming is its extensive library support. Whether you're working on web development, automation, data science, or machine learning, Python has a library for almost every need. Exploring Python libraries like BeautifulSoup, NumPy, and Flask can significantly boost your productivity.

Python GUI Development: Building User Interfaces

Python programming isn't just limited to back-end or web development. With tools like Tkinter and PyQt, Python programmers can develop graphical user interfaces (GUIs) for desktop applications. Python GUI development allows you to create user-friendly software with visual elements like buttons, text fields, and images.

Conclusion: Python Programming for Every Developer

Python programming is a versatile and powerful language that can be applied in various domains, from web development and automation to machine learning and data science. Its simplicity, combined with its extensive libraries, makes it a must-learn language for developers at all levels. Whether you're new to programming or looking to advance your skills, Python offers endless possibilities.

At KR Network Cloud, we provide expert-led training to help you master Python programming and unlock your potential. Start your Python programming journey today and take the first step toward a successful career in tech!

[mvishnukumar]

How much Python should one learn before beginning machine learning?

Before diving into machine learning, a solid understanding of Python is essential. :

Basic Python Knowledge:

Syntax and Data Types: 

Understand Python syntax, basic data types (strings, integers, floats), and operations.

Control Structures: 

Learn how to use conditionals (if statements), loops (for and while), and list comprehensions.

Data Handling Libraries:

Pandas: 

Familiarize yourself with Pandas for data manipulation and analysis. Learn how to handle DataFrames, series, and perform data cleaning and transformations.

NumPy: 

Understand NumPy for numerical operations, working with arrays, and performing mathematical computations.

Data Visualization:

Matplotlib and Seaborn: 

Learn basic plotting with Matplotlib and Seaborn for visualizing data and understanding trends and distributions.

Basic Programming Concepts:

Functions: 

Know how to define and use functions to create reusable code.

File Handling: 

Learn how to read from and write to files, which is important for handling datasets.

Basic Statistics:

Descriptive Statistics: 

Understand mean, median, mode, standard deviation, and other basic statistical concepts.

Probability: 

Basic knowledge of probability is useful for understanding concepts like distributions and statistical tests.

Libraries for Machine Learning:

Scikit-learn: 

Get familiar with Scikit-learn for basic machine learning tasks like classification, regression, and clustering. Understand how to use it for training models, evaluating performance, and making predictions.

Hands-on Practice:

Projects: 

Work on small projects or Kaggle competitions to apply your Python skills in practical scenarios. This helps in understanding how to preprocess data, train models, and interpret results.

In summary, a good grasp of Python basics, data handling, and basic statistics will prepare you well for starting with machine learning. Hands-on practice with machine learning libraries and projects will further solidify your skills.

To learn more drop the message…!

[cj-6]

Xdinary lore

Meaning of all the album titles in order, excluding 'Happy death day' (as it is a single release and it is not relevant for the upcoming interpretation). Also includes the title of the new comeback (!), which I knew of because I had been theorizing about it (the theory is in Music videos #2).

''Hello, world!''

If you have done any programming class or basics before, you will know as much as I do that this sentence is the first thing that you learn about. When you have worked with Python like I have, this is done by using a 'print()' statement, which I added a picture of below for anyone curious.

In terms of meaning we can say that this album is their first greeting to the world, and I believe especially to the VR world which we know as ♭form.

Overload

Overload can refer to multiple things, though it is meant for us to consider all titles in relation to computer programming and anything IT related.

And so overload refers to a situation where a system is subjected to more demand or load than it can handle effectively. Overload can lead to performance degradation, slowdowns, or even system crashes if the resources are not properly managed or scaled.

So what we can take away from this is that overload is when a computer system can't handle the amount of info it is given.

Deadlock

As said in the overload information it is quite crucial to keep on the programmer glasses from here. I did not consider this before until I started diving in to all the lore, but trust me it makes far more sense to do so. For the reason that deadlock can refer to the following:

An occurrence when two or more processes are unable to proceed because each is waiting for the other to release a resource. This results in a situation where none of the processes can continue, effectively halting the entire system. Deadlocks are often a result of poor resource management or synchronization in concurrent systems.

Aka a computer system that comes to a halt because two processes are not properly coordinated.

Livelock

Livelock is a situation where multiple processes continuously change their states in response to each other's actions, but none make progress. This can be thought of as a more active form of deadlock, where processes are not stuck waiting for resources but are instead caught in a loop (remember this!) of resource contention. Livelocks can occur when systems use overly aggressive algorithms for resource management or when there's excessive contention for shared resources.

Simply put a version of deadlock that has not quite stopped but stuck in a loop instead.

Troubleshooting

I actually started writing this part before it was officially announced on the 12th, so yeah that's cool.

Troubleshooting involves identifying, diagnosing, and resolving problems or issues within a computer system. It's a systematic approach used to isolate the root cause of a malfunction or unexpected behavior and then implement a solution to resolve it. Troubleshooting can involve various techniques such as analyzing logs, debugging code, monitoring system performance, and testing different configurations.

Or basically trying to find mistakes (such as the causes of overload, deadlock, and livelock) within our computer system.

In summary, these terms are all related to different types of issues or challenges that can occur in computer systems, and troubleshooting is the process used to address and resolve them. Sounds coherent right?

General theme/story << Album titles >> Music videos #1

[debbymatt]

Dicas e Recomendações p/ iniciantes em Programação

Tenho me deparado constantemente com os questionamento, de colegas e amigos, sobre: como começar a programar ou para alguns, "codar" ?

Apesar de não ser a minha especialização e muito longe área de interesse, pensei em uma maneira de construir um fluxograma de processo e recomendação de conteúdo para estudar e aprender a programar.

Mas de antemão, deixarei um adendo e recorte de um comentário que li num vídeo do YouTube, tratando justamente sobre o assunto, de Waldeck Vieira.

"Sou desenvolvedor com anos de experiência e vou dar as minhas dicas, principalmente com tantas promessas absurdas que tem hoje de cursos que fazem você virar desenvolvedor em um mês!

Curso é importante sim, mas não vai te fazer virar um desenvolvedor bom em poucos meses!

Estudar é importante sim, mas o que vai fazer você ficar bom, é o treino! Treinar, treinar e treinar muito todos os itens que vou destacar abaixo. É igual aprender a tocar um piano bem, vc nunca vai ser um bom pianista em poucos meses e só estudando teoria, o que vai fazer vc ficar bom é o treino diário!

Não se preocupe em decorar nada, o importante é treinar e entender! Decorar só serve para fazer prova de colégio ou prova de emprego. Mas não mede sua capacidade! Os comandos vc decora praticando!

Já vi muito youtuber bom dizendo que precisa decorar as coisas! Isso é um absurdo, ainda mais hoje que tudo muda toda hora! E cada linguagem vc tem uma forma de escrever os comandos(sintaxe), então não precisa decorar tudo! Ninguém, nem o melhor dev do mundo sabe tudo decorado! O que ele sabe é resolver e entende muita coisa, quando esquece a sintaxe de algo, ele simplesmente consulta na documentação ou na net!

Você só começa a ser um bom desenvolvedor a partir de pelo menos, no mínimo, uns 6 meses de muita prática! Agora ser um dos melhores só fazendo projetos reais e tendo um emprego! Então, mesmo que vc pense em trabalhar com a programação, tenha um emprego, por pelo menos 1 ano! Vc vai ver como vc vai evoluir!

Não precisa começar a estudar só no caderno, escolha uma linguagem, como Python ou JavaScript e pratique nela todos os conceitos!

Itens mais importante para começar e eu iria nessa sequencia. Pratique por pelo menos duas semanas cada item, e tente entender muito bem, e já use uma linguagem, tipo Python ou JavaScript:

Variáveis e seus tipos, case sensitive, constantes, identação do código, condicionais (o famoso if), loops (os famosos for e while), procedures, funções, algoritmos para tratamento de strings, arrays, estrutura de dados aplicada na linguagem escolhida(Essa realmente é uma parte muito importante), conceitos de orientação a objeto. Esse para mim é o básico.

Treine pelo menos uns 5 meses tudo isso! Depois você precisa estudar e praticar, HTML, CSS combinado com JavaScript, mesmo que vc não vá desenvolver para a web, mas vc pode precisar criar um serviço na web para um sistema que vc desenvolveu! Depois estude linguagem SQL para banco de dados, usando uma IDE de desenvolvimento para banco (SQL Server ou MySQL), eu indico!

E uma dica, banco de dados é um mundo a parte, e vc precisa dominar muito a linguagem SQL, dos bancos relacionais (SQL Server, MySQL, Oracle e etc), que é comum em todos os bancos de dados, pois é com ela que vc manipulas os dados, e corrige erros, aumenta a performance de uma consulta e etc!

Então depois de pelo menos mais de 6 meses a 1 ano, estudando e praticando muito tudo isso que coloquei. Desenvolva projetos reais, usando uma linguagem e um banco de dados. E a partir dai, se possível arrume um emprego, e sempre estude e pratique muito em qualquer linguagem e nas novidades do mercado! É isso!".

Portanto, repassado todos os alertas que já venho feito, passarei indicações de conteúdo e ferramentas.

Começaremos pela IDE, mas o que é isso? é um Ambiente de Desenvolvimento no qual utilizamos para programar ou codificar.

Vale ressaltar que a IDE pode variar de linguagem para linguagem no qual ira programar. Citarei alguns a seguir, gratuitos:

JavaScript, recomendo o Visual Studio Code. Pois o VS Code, é uma ferramenta simples, esta sendo constantemente tendo correção de bugs, disponível em diversos idiomas, inclusive PT-Br, compatível com os sistemas: Windows, Linux e Mac. E é possível compilar nas mais diversas linguagens de programação, além de muitas outras funcionalidades, que deixarei vocês conhecerem por si mesmos;

Python, indico o PyCharm e Jupyter Notebook. O VS Code também é uma boa, porém um pouco mais trabalhoso para desenvolver. Mas porque, o python se utiliza de uma IDE especifica ? Por causa, da necessidade de invocar Bibliotecas (coleção de subprogramas usados no desenvolvimento de softwares). Quando trabalhamos com o VS Code por exemplo, toda biblioteca que for utilizar, ira ter que realizar a instalação através do Prompt de comando, ou Terminal, se seu sistema for Linux. Já se vc utilizar IDEs como: Pycharm e Jupyter Notebook, não terá a dor de cabeça de pensar nesse aspecto. E o fato de que não tem a necessidade de criar ou ajustar um venv e outros;

SQL, destaco o MySQL Workbench, Oracle SQL e SQL Server Management Studio (SSMS). O SQL, é uma linguagem que geralmente se organiza em planilha ou tabelas de larga escala, que para quem deseja programar nesta linguagem se faz necessário uma ferramenta que trabalhe especificamente com isso e proporcione uma visualização clara e precisa dos dados, para assim poder fazer a estruturação.

Por se tratar de guia para programadores iniciantes, ficaremos apenas nesses linguagens.

Acrescento que ao contrário do que muitos pensam, HTML e CSS, NÃO SÃO LINGUAGENS DE PROGRAMAÇÃO!

São apenas Linguagens de Marcação e Formatação de Texto e Estilo.

HTML: linguagem de marcação utilizada para estruturar os elementos da página, como parágrafos, links, títulos, tabelas, imagens e até vídeos.

CSS: linguagem de estilos utilizada para definir cores, fontes, tamanhos, posicionamento e qualquer outro valor estético para os elementos da página.

JavaScript: linguagem de programação utilizada para deixar a página com mais movimento, podendo atualizar elementos dinamicamente e lidar melhor com dados enviados e recebidos na página.

Exemplo dessa combinação:

Explicação simples e didática que emprestei da Alura.

Já recomendado IDEs, esclarecido algumas confusões que ocorrem, darei prosseguimento para a indicação de conteúdos para estudo.

Eu particularmente, comecei a ter noção de lógica de programação e a saber a programar jogando os APPs, que foram desenvolvidos especificamente para isso:

Grasshopper, é o aplicativo desenvolvido pela Google, que tem o objetivo de ensinar a linguagem JavaScript, Recursos: quebra-cabeças visuais desenvolvem suas habilidades de resolução de problemas e solidificam os conceitos de programação; feedback em tempo real te orienta como um professor; coleciona conquistas à medida que aprende novas habilidades e ganha certificado.

O aplicativo está disponível para Android e iOS. 

Mimo, o aplicativo te instruí a desenvolver em: HTML, JavaScript, CSS, Python e SQL. Além do que já destaquei no app anterior e a possibilidade de dialogar e competir com outra pessoas que também o utilizam para aprender a programar.

O aplicativo está disponível para Android e iOS. 

Meoweb: Jogo de programação, a ideia do jogo é que você precisa ajudar Agatha a resgatar os gatinhos perdidos. Você precisa resolver os quebra-cabeças que estão nas plataformas para ajudá-la. Você receberá diferentes desafios que precisa resolver para chegar ao próximo nível. Que consiste em comandos em CSS, é muito fofo e divertido.

Disponível apenas para Android.

 Code Combat, é jogo apenas na versão web, onde vocês podem aprender a desenvolver em Python, JavaScript, CoffeeScript e Lua. A curva de aprendizado é bastante suave, começando com comandos básicos de lógica em um universo agradável e colorido. Tudo isso é possível graças à ação de colaboradores do mundo todo, em um projeto aberto, com página no Github. 

Disponível em diversos idiomas, incluindo português.

E a vídeos aulas:

Canal Curso em Vídeo :

Algoritmos e Lógica de Programação;

Banco de Dados com MySQL;

HTML5 + CSS3 + JavaScript;

HTML + CSS (módulo 1);

HTML + CSS (módulo 2);

HTML + CSS (módulo 3);

HTML + CSS (módulo 4);

JavaScript e ECMAScript;

Python 1 (princípios básicos);

Python 2 (Estrutura de Controle);

Python 3 (Estrutura Composta).

Vale ressaltar que uma coisa importantíssima é tornar disponível e visível os seus trabalhos, e uma ótima plataforma para isso, com uma ampla comunidade é o GitHub.

Mas o que é o GitHub ?

É uma plataforma de hospedagem de código-fonte e arquivos com controle de versão usando o Git. Ele permite que programadores, utilitários ou qualquer usuário cadastrado na plataforma contribuam em projetos privados e/ou Open Source de qualquer lugar do mundo. - Wikipédia.

Por ser uma plataforma que será importante para o desenvolvimento de seus projetos e trabalhos, e portfólio futuro, deixarei vídeos que te auxiliaram a adquirir o conhecimento pleno das funcionalidades da plataforma.

Curso de Git e GitHub.

Como personalizar o seu perfil no GitHub.

Ademais, acredito que isso é tudo pessoal, o vídeo que me inspirou em escrever esse post na tentativa de auxiliar, desfazer desentendidos e indica conteúdo, foi o casal do canal Código Fonte TV: O MÍNIMO QUE VOCÊ PRECISA SABER ANTES DE PROGRAMAR!.

No qual desmitifica e apoia toda a argumentação e pontos que destaquei até aqui e é claro recomenda mais conteúdo teórico, além do que já escrevi.

Espero ter ajudado em alguma coisa ou mesmo tirado a dúvida de vocês, sintam-se a vontade de curtir, compartilhar e comentar nestes post e outros.

Desde já agradeço pelo seu tempo e atenção, e até um próximo post.

Referências Bibliográficas do que foi abordado:

HTML, CSS e Javascript, quais as diferenças? ;

IDE PARA PYTHON: O QUE É, COMO ESCOLHER E LISTA DAS MELHORES;

Link das IDEs:

Jupyter Notebook;

MySQL Workbench;

Oracle SQL;

PyCharm;

SQL Server Management Studio (SSMS);

Visual Studio Code.

Vídeo Aulas recomendadas:

Algoritmos e Lógica de Programação;

Banco de Dados com MySQL;

Curso de Git e GitHub.

Como personalizar o seu perfil no GitHub.

HTML5 + CSS3 + JavaScript;

HTML + CSS (módulo 1);

HTML + CSS (módulo 2);

HTML + CSS (módulo 3);

HTML + CSS (módulo 4);

JavaScript e ECMAScript;

Python 1 (princípios básicos);

Python 2 (Estrutura de Controle);

Python 3 (Estrutura Composta).

O MÍNIMO QUE VOCÊ PRECISA SABER ANTES DE PROGRAMAR!

Aplicativos recomendados:

Code Combat;

Grasshopper;

Meoweb: Jogo de programação;

Mimo.

[computerlanguages]

Computer Language

Computer languages, also known as programming languages, are formal languages used to communicate instructions to a computer. These instructions are written in a syntax that computers can understand and execute. There are numerous programming languages, each with its own syntax, semantics, and purpose. Here are some of the main types of programming languages:

1.Low-Level Languages:

Machine Language: This is the lowest level of programming language, consisting of binary code (0s and 1s) that directly corresponds to instructions executed by the computer's hardware. It is specific to the computer's architecture.

Assembly Language: Assembly language uses mnemonic codes to represent machine instructions. It is a human-readable form of machine language and closely tied to the computer's hardware architecture

2.High-Level Languages:

Procedural Languages: Procedural languages, such as C, Pascal, and BASIC, focus on defining sequences of steps or procedures to perform tasks. They use constructs like loops, conditionals, and subroutines.

Object-Oriented Languages: Object-oriented languages, like Java, C++, and Python, organize code around objects, which are instances of classes containing data and methods. They emphasize concepts like encapsulation, inheritance, and polymorphism.

Functional Languages: Functional languages, such as Haskell, Lisp, and Erlang, treat computation as the evaluation of mathematical functions. They emphasize immutable data and higher-order functions.

Scripting Languages: Scripting languages, like JavaScript, PHP, and Ruby, are designed for automating tasks, building web applications, and gluing together different software components. They typically have dynamic typing and are interpreted rather than compiled.

Domain-Specific Languages (DSLs): DSLs are specialized languages tailored to a specific domain or problem space. Examples include SQL for database querying, HTML/CSS for web development, and MATLAB for numerical computation.

3.Other Types:

Markup Languages: Markup languages, such as HTML, XML, and Markdown, are used to annotate text with formatting instructions. They are not programming languages in the traditional sense but are essential for structuring and presenting data.

Query Languages: Query languages, like SQL (Structured Query Language), are used to interact with databases by retrieving, manipulating, and managing data.

Constraint Programming Languages: Constraint programming languages, such as Prolog, focus on specifying constraints and relationships among variables to solve combinatorial optimization problems.

[musicshooterspt]

Reportagem Ana Roxanne, Passos Manuel

Ana Roxanne embalou-nos num sonho acordado

Foi, no dia 6 de dezembro, que Ana Roxanne tocou no Porto, no Passos Manuel, e que nos embalou e levou para um lugar quentinho do qual não queríamos sair: foi como estar num sonho bom sem estar a dormir. Numa sala cheia mas respeitadora do silêncio que também ele criava ambiente, a artista californiana utilizou baixo, sintetizadores, loops e a sua própria voz para ecoar e criar melodias que nos faziam viajar na história cósmica por ela criada.

Foi através das canções editadas no seu primeiro trabalho de longa-duração e único – se não contarmos com o seu projeto Natural Wonder Beauty Concept partilhado com DJ Python – que Ana Roxanne percorreu pela sua música ambiente que, naturalmente, é experimental e, portanto, dotada de improvisação.

Because of a Flower, lançado em 2020, foi assim sendo apresentado num ambiente que se fez acompanhar de visuais que nos ajudavam e guiavam numa viagem que durou pouco mais de quarenta minutos mas que, de bom grado, poderia ter durado mais uma hora: tal era o aconchego que se sentia.

Uma das primeiras foi “A Study in Vastness” do já referido álbum. O drone preenchia o espaço e o delay aplicado na voz da artista arrastava-se e fazia com que a música se expandisse a cada passo. “Camille” também do mesmo álbum esteve em evidência. Facilmente reconhecível pela conversa do filme francês “Mystère Alexina” (1985), a única sonoridade que apresenta beat vai sendo escutada e entrelaça-se com as vozes ao longo da canção criando, talvez, o ambiente mais “violento” de toda a sua performance: não fosse a dita conversa soar mais a discussão. Ainda assim, também aí continuamos no mundo dos sonhos onde Ana Roxanne tanto nos quer levar.

Com “Venus” a suavidade das ondas do mar transporta-nos, de novo, para uma realidade mais relaxante na qual não nos cansamos de estar. Finalizando os temas em nome próprio, houve tempo para duas versões que já são costume nas suas performances: “Forget About”, da alemã Sibylle Baier e “The World Spins” de Julee Cruise.

Terminando da mesma forma que começou, silenciosa e tranquilamente misteriosa, Ana Roxanne despediu-se e a sensação da sala foi unânime: não queríamos que este sonho acordado tão cheio de cor e de cosmos terminasse tão rápido.

Esta não foi a primeira aparição da norte-americana em terras lusas. Em 2019 abriu o concerto de Weyes Blood no B.Leza. Já, em 2022, apresentou-se nos Jardins Efémeros em Viseu. Este ano, dia 15 de março fez-se ouvir na Galeria Zé dos Bois, na capital, onde se apresentou pela primeira vez em nome próprio. Este mês esteve de regresso, tendo começado com um concerto no LISA, em Lisboa, a 1 de dezembro. Seguiu-se o Madeiradig, na Calheta, a 4 de dezembro e terminou a sua passagem por Portugal, quarta-feira, no Porto. 

Texto e fotografia: Catarina Moreira Rodrigues

[mercyjuliet1512]

Navigating the Realm of Selenium: A Comprehensive Handbook for Automated Web Testing

Introduction: Welcome to the dynamic world of Selenium, where precision meets automation, and web applications undergo meticulous scrutiny. As a cornerstone of modern test automation, Selenium empowers testers to streamline the testing process, ensure application reliability, and expedite software delivery. In this comprehensive handbook, we'll embark on a journey through the fundamentals of Selenium testing, uncovering its core components, essential concepts, and the vast realm of learning opportunities it presents.

Understanding Selenium: Selenium stands as a testament to the power of automation in testing, providing testers with an array of tools and libraries to interact with web elements, simulate user actions, and validate application behavior across diverse browsers and platforms. Its versatility and adaptability make it a go-to choice for developers and testers worldwide. Let's dive deep into the core components and pivotal concepts of Selenium.

Core Components of Selenium: Selenium comprises several pivotal components that form the backbone of automated web testing:

Selenium IDE: Acting as a user-friendly playground for recording, editing, and debugging test scripts, the Selenium Integrated Development Environment (IDE) offers testers a seamless experience in prototyping and generating test scripts, making it equally accessible to novices and seasoned testers.

Selenium WebDriver: At the heart of Selenium lies WebDriver, a robust programming interface enabling the creation and execution of automated tests. With WebDriver, testers can directly interact with web elements using a plethora of commands, ensuring seamless cross-browser compatibility and support across various programming languages.

Selenium Grid: Enabling parallel test execution across multiple browsers and platforms, Selenium Grid revolutionizes test efficiency and scalability. By distributing test scripts across different machines, Selenium Grid reduces test execution time, facilitating rapid feedback loops and expediting software delivery.

Essential Concepts of Selenium Testing: To harness the full potential of Selenium, testers must delve into essential concepts such as:

Web Element Identification: Mastering locator strategies (ID, class name, name, tag name, link text, XPath) is paramount for accurately identifying and interacting with web elements. A profound understanding of these strategies ensures the robustness and reliability of test scripts.

Test Automation Frameworks: Integrating Selenium with test automation frameworks like JUnit, TestNG, or NUnit enhances test organization, management, and reporting capabilities, streamlining test execution and fostering collaboration among team members.

Advanced Selenium Features: Exploring advanced features such as handling dynamic elements, working with iframes and pop-ups, and implementing wait strategies enhances proficiency in Selenium automation, enabling testers to tackle complex testing scenarios with finesse and precision.

Scope of Learning Selenium: The scope of learning Selenium is vast and diverse, offering myriad opportunities for skill development and career advancement. Here are some key areas to focus on:

Programming Language Proficiency: Attaining proficiency in programming languages supported by Selenium (Java, Python, C#, etc.) is pivotal for crafting efficient and maintainable test scripts, empowering testers to automate complex testing scenarios with ease and accuracy.

Cross-browser and Cross-platform Testing: Selenium's cross-browser compatibility allows testers to validate web applications across different browsers and platforms, ensuring consistent functionality and user experience. Learning how to perform cross-browser and cross-platform testing using Selenium enriches test coverage and ensures application compatibility.

CI/CD Integration: Integrating Selenium tests into CI/CD pipelines facilitates automated testing as an integral part of the software development lifecycle, enhancing test efficiency, accelerating software delivery, and improving overall software quality.

Conclusion: In conclusion, mastering Selenium unlocks a plethora of opportunities in automated web testing. By understanding its core components, essential concepts, and the vast scope of learning opportunities it offers, testers can enhance their skills, improve software quality, and expedite the delivery of high-performing web applications. Whether you're embarking on your Selenium journey as a novice or seeking to elevate your expertise as an experienced tester, embracing Selenium testing empowers you to navigate the complexities of modern software development and drive innovation in the digital landscape. So, embark on your Selenium journey today and embark on a transformative quest in automated web testing.

[learnershub101]

25 Udemy Paid Courses for Free with Certification (Only for Limited Time)

2023 Complete SQL Bootcamp from Zero to Hero in SQL

Become an expert in SQL by learning through concept & Hands-on coding :)

What you'll learn

Use SQL to query a database Be comfortable putting SQL on their resume Replicate real-world situations and query reports Use SQL to perform data analysis Learn to perform GROUP BY statements Model real-world data and generate reports using SQL Learn Oracle SQL by Professionally Designed Content Step by Step! Solve any SQL-related Problems by Yourself Creating Analytical Solutions! Write, Read and Analyze Any SQL Queries Easily and Learn How to Play with Data! Become a Job-Ready SQL Developer by Learning All the Skills You will Need! Write complex SQL statements to query the database and gain critical insight on data Transition from the Very Basics to a Point Where You can Effortlessly Work with Large SQL Queries Learn Advanced Querying Techniques Understand the difference between the INNER JOIN, LEFT/RIGHT OUTER JOIN, and FULL OUTER JOIN Complete SQL statements that use aggregate functions Using joins, return columns from multiple tables in the same query

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Python Programming Complete Beginners Course Bootcamp 2023

2023 Complete Python Bootcamp || Python Beginners to advanced || Python Master Class || Mega Course

What you'll learn

Basics in Python programming Control structures, Containers, Functions & Modules OOPS in Python How python is used in the Space Sciences Working with lists in python Working with strings in python Application of Python in Mars Rovers sent by NASA

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Learn PHP and MySQL for Web Application and Web Development

Unlock the Power of PHP and MySQL: Level Up Your Web Development Skills Today

What you'll learn

Use of PHP Function Use of PHP Variables Use of MySql Use of Database

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T-Shirt Design for Beginner to Advanced with Adobe Photoshop

Unleash Your Creativity: Master T-Shirt Design from Beginner to Advanced with Adobe Photoshop

What you'll learn

Function of Adobe Photoshop Tools of Adobe Photoshop T-Shirt Design Fundamentals T-Shirt Design Projects

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Complete Data Science BootCamp

Learn about Data Science, Machine Learning and Deep Learning and build 5 different projects.

What you'll learn

Learn about Libraries like Pandas and Numpy which are heavily used in Data Science. Build Impactful visualizations and charts using Matplotlib and Seaborn. Learn about Machine Learning LifeCycle and different ML algorithms and their implementation in sklearn. Learn about Deep Learning and Neural Networks with TensorFlow and Keras Build 5 complete projects based on the concepts covered in the course.

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Essentials User Experience Design Adobe XD UI UX Design

Learn UI Design, User Interface, User Experience design, UX design & Web Design

What you'll learn

How to become a UX designer Become a UI designer Full website design All the techniques used by UX professionals

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Build a Custom E-Commerce Site in React + JavaScript Basics

Build a Fully Customized E-Commerce Site with Product Categories, Shopping Cart, and Checkout Page in React.

What you'll learn

Introduction to the Document Object Model (DOM) The Foundations of JavaScript JavaScript Arithmetic Operations Working with Arrays, Functions, and Loops in JavaScript JavaScript Variables, Events, and Objects JavaScript Hands-On - Build a Photo Gallery and Background Color Changer Foundations of React How to Scaffold an Existing React Project Introduction to JSON Server Styling an E-Commerce Store in React and Building out the Shop Categories Introduction to Fetch API and React Router The concept of "Context" in React Building a Search Feature in React Validating Forms in React

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Complete Bootstrap & React Bootcamp with Hands-On Projects

Learn to Build Responsive, Interactive Web Apps using Bootstrap and React.

What you'll learn

Learn the Bootstrap Grid System Learn to work with Bootstrap Three Column Layouts Learn to Build Bootstrap Navigation Components Learn to Style Images using Bootstrap Build Advanced, Responsive Menus using Bootstrap Build Stunning Layouts using Bootstrap Themes Learn the Foundations of React Work with JSX, and Functional Components in React Build a Calculator in React Learn the React State Hook Debug React Projects Learn to Style React Components Build a Single and Multi-Player Connect-4 Clone with AI Learn React Lifecycle Events Learn React Conditional Rendering Build a Fully Custom E-Commerce Site in React Learn the Foundations of JSON Server Work with React Router

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Build an Amazon Affiliate E-Commerce Store from Scratch

Earn Passive Income by Building an Amazon Affiliate E-Commerce Store using WordPress, WooCommerce, WooZone, & Elementor

What you'll learn

Registering a Domain Name & Setting up Hosting Installing WordPress CMS on Your Hosting Account Navigating the WordPress Interface The Advantages of WordPress Securing a WordPress Installation with an SSL Certificate Installing Custom Themes for WordPress Installing WooCommerce, Elementor, & WooZone Plugins Creating an Amazon Affiliate Account Importing Products from Amazon to an E-Commerce Store using WooZone Plugin Building a Customized Shop with Menu's, Headers, Branding, & Sidebars Building WordPress Pages, such as Blogs, About Pages, and Contact Us Forms Customizing Product Pages on a WordPress Power E-Commerce Site Generating Traffic and Sales for Your Newly Published Amazon Affiliate Store

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The Complete Beginner Course to Optimizing ChatGPT for Work

Learn how to make the most of ChatGPT's capabilities in efficiently aiding you with your tasks.

What you'll learn

Learn how to harness ChatGPT's functionalities to efficiently assist you in various tasks, maximizing productivity and effectiveness. Delve into the captivating fusion of product development and SEO, discovering effective strategies to identify challenges, create innovative tools, and expertly Understand how ChatGPT is a technological leap, akin to the impact of iconic tools like Photoshop and Excel, and how it can revolutionize work methodologies thr Showcase your learning by creating a transformative project, optimizing your approach to work by identifying tasks that can be streamlined with artificial intel

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AWS, JavaScript, React | Deploy Web Apps on the Cloud

Cloud Computing | Linux Foundations | LAMP Stack | DBMS | Apache | NGINX | AWS IAM | Amazon EC2 | JavaScript | React

What you'll learn

Foundations of Cloud Computing on AWS and Linode Cloud Computing Service Models (IaaS, PaaS, SaaS) Deploying and Configuring a Virtual Instance on Linode and AWS Secure Remote Administration for Virtual Instances using SSH Working with SSH Key Pair Authentication The Foundations of Linux (Maintenance, Directory Commands, User Accounts, Filesystem) The Foundations of Web Servers (NGINX vs Apache) Foundations of Databases (SQL vs NoSQL), Database Transaction Standards (ACID vs CAP) Key Terminology for Full Stack Development and Cloud Administration Installing and Configuring LAMP Stack on Ubuntu (Linux, Apache, MariaDB, PHP) Server Security Foundations (Network vs Hosted Firewalls). Horizontal and Vertical Scaling of a virtual instance on Linode using NodeBalancers Creating Manual and Automated Server Images and Backups on Linode Understanding the Cloud Computing Phenomenon as Applicable to AWS The Characteristics of Cloud Computing as Applicable to AWS Cloud Deployment Models (Private, Community, Hybrid, VPC) Foundations of AWS (Registration, Global vs Regional Services, Billing Alerts, MFA) AWS Identity and Access Management (Mechanics, Users, Groups, Policies, Roles) Amazon Elastic Compute Cloud (EC2) - (AMIs, EC2 Users, Deployment, Elastic IP, Security Groups, Remote Admin) Foundations of the Document Object Model (DOM) Manipulating the DOM Foundations of JavaScript Coding (Variables, Objects, Functions, Loops, Arrays, Events) Foundations of ReactJS (Code Pen, JSX, Components, Props, Events, State Hook, Debugging) Intermediate React (Passing Props, Destrcuting, Styling, Key Property, AI, Conditional Rendering, Deployment) Building a Fully Customized E-Commerce Site in React Intermediate React Concepts (JSON Server, Fetch API, React Router, Styled Components, Refactoring, UseContext Hook, UseReducer, Form Validation)

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Run Multiple Sites on a Cloud Server: AWS & Digital Ocean

Server Deployment | Apache Configuration | MySQL | PHP | Virtual Hosts | NS Records | DNS | AWS Foundations | EC2

What you'll learn

A solid understanding of the fundamentals of remote server deployment and configuration, including network configuration and security. The ability to install and configure the LAMP stack, including the Apache web server, MySQL database server, and PHP scripting language. Expertise in hosting multiple domains on one virtual server, including setting up virtual hosts and managing domain names. Proficiency in virtual host file configuration, including creating and configuring virtual host files and understanding various directives and parameters. Mastery in DNS zone file configuration, including creating and managing DNS zone files and understanding various record types and their uses. A thorough understanding of AWS foundations, including the AWS global infrastructure, key AWS services, and features. A deep understanding of Amazon Elastic Compute Cloud (EC2) foundations, including creating and managing instances, configuring security groups, and networking. The ability to troubleshoot common issues related to remote server deployment, LAMP stack installation and configuration, virtual host file configuration, and D An understanding of best practices for remote server deployment and configuration, including security considerations and optimization for performance. Practical experience in working with remote servers and cloud-based solutions through hands-on labs and exercises. The ability to apply the knowledge gained from the course to real-world scenarios and challenges faced in the field of web hosting and cloud computing. A competitive edge in the job market, with the ability to pursue career opportunities in web hosting and cloud computing.

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Cloud-Powered Web App Development with AWS and PHP

AWS Foundations | IAM | Amazon EC2 | Load Balancing | Auto-Scaling Groups | Route 53 | PHP | MySQL | App Deployment

What you'll learn

Understanding of cloud computing and Amazon Web Services (AWS) Proficiency in creating and configuring AWS accounts and environments Knowledge of AWS pricing and billing models Mastery of Identity and Access Management (IAM) policies and permissions Ability to launch and configure Elastic Compute Cloud (EC2) instances Familiarity with security groups, key pairs, and Elastic IP addresses Competency in using AWS storage services, such as Elastic Block Store (EBS) and Simple Storage Service (S3) Expertise in creating and using Elastic Load Balancers (ELB) and Auto Scaling Groups (ASG) for load balancing and scaling web applications Knowledge of DNS management using Route 53 Proficiency in PHP programming language fundamentals Ability to interact with databases using PHP and execute SQL queries Understanding of PHP security best practices, including SQL injection prevention and user authentication Ability to design and implement a database schema for a web application Mastery of PHP scripting to interact with a database and implement user authentication using sessions and cookies Competency in creating a simple blog interface using HTML and CSS and protecting the blog content using PHP authentication. Students will gain practical experience in creating and deploying a member-only blog with user authentication using PHP and MySQL on AWS.

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CSS, Bootstrap, JavaScript And PHP Stack Complete Course

CSS, Bootstrap And JavaScript And PHP Complete Frontend and Backend Course

What you'll learn

Introduction to Frontend and Backend technologies Introduction to CSS, Bootstrap And JavaScript concepts, PHP Programming Language Practically Getting Started With CSS Styles, CSS 2D Transform, CSS 3D Transform Bootstrap Crash course with bootstrap concepts Bootstrap Grid system,Forms, Badges And Alerts Getting Started With Javascript Variables,Values and Data Types, Operators and Operands Write JavaScript scripts and Gain knowledge in regard to general javaScript programming concepts PHP Section Introduction to PHP, Various Operator types , PHP Arrays, PHP Conditional statements Getting Started with PHP Function Statements And PHP Decision Making PHP 7 concepts PHP CSPRNG And PHP Scalar Declaration

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Learn HTML - For Beginners

Lean how to create web pages using HTML

What you'll learn

How to Code in HTML Structure of an HTML Page Text Formatting in HTML Embedding Videos Creating Links Anchor Tags Tables & Nested Tables Building Forms Embedding Iframes Inserting Images

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Learn Bootstrap - For Beginners

Learn to create mobile-responsive web pages using Bootstrap

What you'll learn

Bootstrap Page Structure Bootstrap Grid System Bootstrap Layouts Bootstrap Typography Styling Images Bootstrap Tables, Buttons, Badges, & Progress Bars Bootstrap Pagination Bootstrap Panels Bootstrap Menus & Navigation Bars Bootstrap Carousel & Modals Bootstrap Scrollspy Bootstrap Themes

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JavaScript, Bootstrap, & PHP - Certification for Beginners

A Comprehensive Guide for Beginners interested in learning JavaScript, Bootstrap, & PHP

What you'll learn

Master Client-Side and Server-Side Interactivity using JavaScript, Bootstrap, & PHP Learn to create mobile responsive webpages using Bootstrap Learn to create client and server-side validated input forms Learn to interact with a MySQL Database using PHP

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Linode: Build and Deploy Responsive Websites on the Cloud

Cloud Computing | IaaS | Linux Foundations | Apache + DBMS | LAMP Stack | Server Security | Backups | HTML | CSS

What you'll learn

Understand the fundamental concepts and benefits of Cloud Computing and its service models. Learn how to create, configure, and manage virtual servers in the cloud using Linode. Understand the basic concepts of Linux operating system, including file system structure, command-line interface, and basic Linux commands. Learn how to manage users and permissions, configure network settings, and use package managers in Linux. Learn about the basic concepts of web servers, including Apache and Nginx, and databases such as MySQL and MariaDB. Learn how to install and configure web servers and databases on Linux servers. Learn how to install and configure LAMP stack to set up a web server and database for hosting dynamic websites and web applications. Understand server security concepts such as firewalls, access control, and SSL certificates. Learn how to secure servers using firewalls, manage user access, and configure SSL certificates for secure communication. Learn how to scale servers to handle increasing traffic and load. Learn about load balancing, clustering, and auto-scaling techniques. Learn how to create and manage server images. Understand the basic structure and syntax of HTML, including tags, attributes, and elements. Understand how to apply CSS styles to HTML elements, create layouts, and use CSS frameworks.

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PHP & MySQL - Certification Course for Beginners

Learn to Build Database Driven Web Applications using PHP & MySQL

What you'll learn

PHP Variables, Syntax, Variable Scope, Keywords Echo vs. Print and Data Output PHP Strings, Constants, Operators PHP Conditional Statements PHP Elseif, Switch, Statements PHP Loops - While, For PHP Functions PHP Arrays, Multidimensional Arrays, Sorting Arrays Working with Forms - Post vs. Get PHP Server Side - Form Validation Creating MySQL Databases Database Administration with PhpMyAdmin Administering Database Users, and Defining User Roles SQL Statements - Select, Where, And, Or, Insert, Get Last ID MySQL Prepared Statements and Multiple Record Insertion PHP Isset MySQL - Updating Records

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Linode: Deploy Scalable React Web Apps on the Cloud

Cloud Computing | IaaS | Server Configuration | Linux Foundations | Database Servers | LAMP Stack | Server Security

What you'll learn

Introduction to Cloud Computing Cloud Computing Service Models (IaaS, PaaS, SaaS) Cloud Server Deployment and Configuration (TFA, SSH) Linux Foundations (File System, Commands, User Accounts) Web Server Foundations (NGINX vs Apache, SQL vs NoSQL, Key Terms) LAMP Stack Installation and Configuration (Linux, Apache, MariaDB, PHP) Server Security (Software & Hardware Firewall Configuration) Server Scaling (Vertical vs Horizontal Scaling, IP Swaps, Load Balancers) React Foundations (Setup) Building a Calculator in React (Code Pen, JSX, Components, Props, Events, State Hook) Building a Connect-4 Clone in React (Passing Arguments, Styling, Callbacks, Key Property) Building an E-Commerce Site in React (JSON Server, Fetch API, Refactoring)

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Internet and Web Development Fundamentals

Learn how the Internet Works and Setup a Testing & Production Web Server

What you'll learn

How the Internet Works Internet Protocols (HTTP, HTTPS, SMTP) The Web Development Process Planning a Web Application Types of Web Hosting (Shared, Dedicated, VPS, Cloud) Domain Name Registration and Administration Nameserver Configuration Deploying a Testing Server using WAMP & MAMP Deploying a Production Server on Linode, Digital Ocean, or AWS Executing Server Commands through a Command Console Server Configuration on Ubuntu Remote Desktop Connection and VNC SSH Server Authentication FTP Client Installation FTP Uploading

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Linode: Web Server and Database Foundations

Cloud Computing | Instance Deployment and Config | Apache | NGINX | Database Management Systems (DBMS)

What you'll learn

Introduction to Cloud Computing (Cloud Service Models) Navigating the Linode Cloud Interface Remote Administration using PuTTY, Terminal, SSH Foundations of Web Servers (Apache vs. NGINX) SQL vs NoSQL Databases Database Transaction Standards (ACID vs. CAP Theorem) Key Terms relevant to Cloud Computing, Web Servers, and Database Systems

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Java Training Complete Course 2022

Learn Java Programming language with Java Complete Training Course 2022 for Beginners

What you'll learn

You will learn how to write a complete Java program that takes user input, processes and outputs the results You will learn OOPS concepts in Java You will learn java concepts such as console output, Java Variables and Data Types, Java Operators And more You will be able to use Java for Selenium in testing and development

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Learn To Create AI Assistant (JARVIS) With Python

How To Create AI Assistant (JARVIS) With Python Like the One from Marvel's Iron Man Movie

What you'll learn

how to create an personalized artificial intelligence assistant how to create JARVIS AI how to create ai assistant

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Keyword Research, Free Backlinks, Improve SEO -Long Tail Pro

LongTailPro is the keyword research service we at Coursenvy use for ALL our clients! In this course, find SEO keywords,

What you'll learn

Learn everything Long Tail Pro has to offer from A to Z! Optimize keywords in your page/post titles, meta descriptions, social media bios, article content, and more! Create content that caters to the NEW Search Engine Algorithms and find endless keywords to rank for in ALL the search engines! Learn how to use ALL of the top-rated Keyword Research software online! Master analyzing your COMPETITIONS Keywords! Get High-Quality Backlinks that will ACTUALLY Help your Page Rank!

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[promptlyspeedyandroid]

Unlocking the Basics: A Comprehensive C Programming Language Tutorial for Beginners

Introduction

C programming language is often referred to as the backbone of modern programming. Developed in the early 1970s, C has influenced many other programming languages, including C++, Java, and Python. Its efficiency, flexibility, and powerful features make it a popular choice for system programming, embedded systems, and application development. This tutorial aims to provide beginners with a solid foundation in C programming, covering essential concepts, practical examples, and best practices to help you unlock the basics and start your programming journey.The

Why Learn C?

Before diving into the tutorial, it’s important to understand why learning C is beneficial:

Foundation for Other Languages: C serves as a stepping stone to learning other programming languages. Understanding C concepts will make it easier to grasp languages like C++, Java, and C#.

Performance and Efficiency: C is known for its speed and efficiency, making it ideal for system-level programming and applications where performance is critical.

Portability: C programs can be compiled and run on various platforms with minimal changes, making it a versatile choice for developers.

Rich Libraries: C has a vast collection of libraries that provide pre-written code for common tasks, speeding up the development process.

Strong Community Support: With decades of history, C has a large community of developers, providing ample resources, forums, and documentation for learners.

Getting Started with C Programming

1. Setting Up Your Development Environment

To start programming in C, you need to set up a development environment. Here’s how:

Choose a Compiler: Popular C compilers include GCC (GNU Compiler Collection) for Linux and MinGW for Windows. You can also use IDEs like Code::Blocks, Dev-C++, or Visual Studio.

Install the Compiler: Follow the installation instructions for your chosen compiler. Ensure that the compiler is added to your system’s PATH for easy access.

Choose a Text Editor or IDE: You can write C code in any text editor (like Notepad++ or Sublime Text) or use an Integrated Development Environment (IDE) for a more user-friendly experience.

2. Writing Your First C Program

Let’s start with a simple "Hello, World!" program to familiarize you with the syntax:#include <stdio.h> int main() { printf("Hello, World!\n"); return 0; }

Explanation:

#include <stdio.h>: This line includes the standard input-output library, allowing you to use functions like printf.

int main(): This is the main function where the program execution begins.

printf("Hello, World!\n");: This line prints "Hello, World!" to the console.

return 0;: This indicates that the program has executed successfully.

3. Understanding C Syntax and Structure

C has a specific syntax that you need to understand:

Variables and Data Types: C supports various data types, including int, float, char, and double. You must declare variables before using them.

int age = 25; float salary = 50000.50; char grade = 'A';

Operators: C provides arithmetic, relational, logical, and bitwise operators for performing operations on variables.

Control Structures: Learn about conditional statements (if, else, switch) and loops (for, while, do-while) to control the flow of your program.

4. Functions in C

Functions are essential for organizing code and promoting reusability. Here’s how to define and call a function:#include <stdio.h> void greet() { printf("Welcome to C Programming!\n"); } int main() { greet(); // Calling the function return 0; }

5. Arrays and Strings

Arrays are used to store multiple values of the same type, while strings are arrays of characters. Here’s an example:#include <stdio.h> int main() { int numbers[5] = {1, 2, 3, 4, 5}; char name[20] = "John Doe"; printf("First number: %d\n", numbers[0]); printf("Name: %s\n", name); return 0; }

6. Pointers

Pointers are a powerful feature in C that allows you to directly manipulate memory. Understanding pointers is crucial for dynamic memory allocation and data structures.#include <stdio.h> int main() { int num = 10; int *ptr = &num; // Pointer to num printf("Value of num: %d\n", *ptr); // Dereferencing the pointer return 0; }

7. Structures and Unions

Structures allow you to group different data types under a single name, while unions enable you to store different data types in the same memory location.#include <stdio.h> struct Student { char name[50]; int age; }; int main() { struct Student student1 = {"Alice", 20}; printf("Student Name: %s, Age: %d\n", student1.name, student1.age); return 0; }

Best Practices for C Programming

Comment Your Code: Use comments to explain complex logic and improve code readability.

Use Meaningful Variable Names: Choose descriptive names for variables and functions to make your code self-explanatory.

Keep Code Organized: Structure your code into functions and modules to enhance maintainability.

Test Your Code: Regularly test your code to catch errors early and ensure it behaves as expected.

Conclusion

Learning C programming is a rewarding journey that opens doors to various fields in software development. By following this comprehensive tutorial, you’ve unlocked the basics of C and gained the foundational knowledge needed to explore more advanced topics.

As you continue your programming journey, practice regularly, build projects, and engage with the C programming community. With dedication and persistence, you’ll become proficient in C programming and be well-equipped to tackle more complex challenges in the world of software development.

Ready to dive deeper? Explore advanced topics like memory management, file handling, and data structures to further enhance your C programming skills! Happy coding with Tpoint-Tech!

[digitaldetoxworld]

The C Programming Language Compliers – A Comprehensive Overview

 C is a widespread-purpose, procedural programming language that has had a profound have an impact on on many different contemporary programming languages. Known for its efficiency and energy, C is frequently known as the "mother of all languages" because many languages (like C++, Java, and even Python) have drawn inspiration from it.

C Lanugage Compliers 

Developed within the early Seventies via Dennis Ritchie at Bell Labs, C changed into firstly designed to develop the Unix operating gadget. Since then, it has emerge as a foundational language in pc science and is still widely utilized in systems programming, embedded systems, operating systems, and greater.

2. Key Features of C

C is famous due to its simplicity, performance, and portability. Some of its key functions encompass:

Simple and Efficient: The syntax is minimalistic, taking into consideration near-to-hardware manipulation.

Fast Execution: C affords low-degree get admission to to memory, making it perfect for performance-critical programs.

Portable Code: C programs may be compiled and run on diverse hardware structures with minimal adjustments.

Rich Library Support: Although simple, C presents a preferred library for input/output, memory control, and string operations.

Modularity: Code can be written in features, improving readability and reusability.

Extensibility: Developers can without difficulty upload features or features as wanted.

Three. Structure of a C Program

A primary C application commonly consists of the subsequent elements:

Preprocessor directives

Main function (main())

Variable declarations

Statements and expressions

Functions

Here’s an example of a easy C program:

c

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#include <stdio.H>

int important() 

    printf("Hello, World!N");

    go back zero;

Let’s damage this down:

#include <stdio.H> is a preprocessor directive that tells the compiler to include the Standard Input Output header file.

Go back zero; ends this system, returning a status code.

4. Data Types in C

C helps numerous facts sorts, categorised particularly as:

Basic kinds: int, char, glide, double

Derived sorts: Arrays, Pointers, Structures

Enumeration types: enum

Void kind: Represents no fee (e.G., for functions that don't go back whatever)

Example:

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int a = 10;

waft b = three.14;

char c = 'A';

five. Control Structures

C supports diverse manipulate structures to permit choice-making and loops:

If-Else:

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if (a > b) 

    printf("a is more than b");

 else 

Switch:

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switch (option) 

    case 1:

        printf("Option 1");

        smash;

    case 2:

        printf("Option 2");

        break;

    default:

        printf("Invalid option");

Loops:

For loop:

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printf("%d ", i);

While loop:

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int i = 0;

while (i < five) 

    printf("%d ", i);

    i++;

Do-even as loop:

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int i = zero;

do 

    printf("%d ", i);

    i++;

 while (i < 5);

6. Functions

Functions in C permit code reusability and modularity. A function has a return kind, a call, and optionally available parameters.

Example:

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int upload(int x, int y) 

    go back x + y;

int important() 

    int end result = upload(3, 4);

    printf("Sum = %d", result);

    go back zero;

7. Arrays and Strings

Arrays are collections of comparable facts types saved in contiguous memory places.

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int numbers[5] = 1, 2, three, 4, five;

printf("%d", numbers[2]);  // prints three

Strings in C are arrays of characters terminated via a null character ('').

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char name[] = "Alice";

printf("Name: %s", name);

8. Pointers

Pointers are variables that save reminiscence addresses. They are powerful but ought to be used with care.

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int a = 10;

int *p = &a;  // p factors to the address of a

Pointers are essential for:

Dynamic reminiscence allocation

Function arguments by means of reference

Efficient array and string dealing with

9. Structures

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struct Person 

    char call[50];

    int age;

;

int fundamental() 

    struct Person p1 = "John", 30;

    printf("Name: %s, Age: %d", p1.Call, p1.Age);

    go back 0;

10. File Handling

C offers functions to study/write documents using FILE pointers.

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FILE *fp = fopen("information.Txt", "w");

if (fp != NULL) 

    fprintf(fp, "Hello, File!");

    fclose(fp);

11. Memory Management

C permits manual reminiscence allocation the usage of the subsequent functions from stdlib.H:

malloc() – allocate reminiscence

calloc() – allocate and initialize memory

realloc() – resize allotted reminiscence

free() – launch allotted reminiscence

Example:

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int *ptr = (int *)malloc(five * sizeof(int));

if (ptr != NULL) 

    ptr[0] = 10;

    unfastened(ptr);

12. Advantages of C

Control over hardware

Widely used and supported

Foundation for plenty cutting-edge languages

thirteen. Limitations of C

No integrated help for item-oriented programming

No rubbish collection (manual memory control)

No integrated exception managing

Limited fashionable library compared to higher-degree languages

14. Applications of C

Operating Systems: Unix, Linux, Windows kernel components

Embedded Systems: Microcontroller programming

Databases: MySQL is partly written in C

Gaming and Graphics: Due to performance advantages

[acrosstek]

How to Build a High-Performing Remote Development Team in 2025

Remote development is no longer an alternative—it’s the norm. In 2025, businesses are increasingly adopting remote models not just to reduce costs but to access global talent, accelerate development cycles, and stay competitive. But building a high-performing remote team takes more than just hiring developers who work from home.

Whether you're a startup scaling fast or an enterprise aiming to streamline operations, here's how to build a remote development team that delivers real results.

1. Define Your Project Scope Clearly

Before assembling a team, get crystal clear about:

The tech stack you need (e.g., .NET, Python, C, React, DevOps)

Short-term vs. long-term goals

Expected deliverables and KPIs

Whether you need full-time dedicated resources or flexible contract-based roles

At Acrosstek, we help businesses clarify this blueprint before recruitment begins, ensuring alignment from day one.

2. Prioritize Skill + Cultural Fit

You want developers who can do the job and blend with your company culture. Look for:

Problem-solving ability, not just code knowledge

Strong communication skills, especially in remote setups

Time zone alignment or a system to ensure overlap in working hours

Adaptability, especially if you work in agile sprints

A reputable IT staffing partner can help assess both technical and soft skills—streamlining the hiring process.

3. Use Adaptive Hiring Models

Traditional hiring methods are often slow and rigid. Adaptive hiring, offered by firms like Acrosstek, changes the game by:

Offering C2H (Contract-to-Hire) or Direct Hire options

Enabling on-demand scaling of your tech team

Providing pre-vetted remote developers globally

This gives your business the flexibility to experiment, scale, or shift focus—without the overhead of permanent hiring.

4. Invest in Onboarding & Knowledge Transfer

The first 30 days set the tone. A great onboarding process should include:

Documentation of existing codebases and workflows

Clear role definitions

Introduction to team culture, tools, and expectations

A mentorship model to ease the new developer into the system

The better your onboarding, the faster your remote hires become productive contributors.

5. Embrace a Remote-First Tech Stack

The right tools can make or break remote productivity. Consider:

Project Management: Jira, Trello, ClickUp

Code Repositories: GitHub, GitLab, Bitbucket

CI/CD & QA Tools: Jenkins, Selenium, Appium

Communication: Slack, MS Teams, Zoom

Time Tracking: Hubstaff, Time Doctor

Make sure your team has access to tools that support transparency, collaboration, and agile workflows.

6. Foster Communication & Team Culture

One of the biggest threats to remote success is isolation. Combat this with:

Daily standups or weekly sync meetings

Virtual coffee breaks or fun channels on Slack

Clear communication guidelines (asynchronous vs. real-time)

Celebrating milestones and wins, no matter how small

High-performing remote teams aren’t just efficient—they’re connected.

7. Focus on Continuous Learning & Growth

Your developers want to grow. Keep them engaged with:

Access to online learning platforms like Udemy, Coursera, Pluralsight

Internal tech talks or weekly demos

Constructive feedback loops and performance reviews

Opportunities to contribute to open-source projects or R&D

This builds loyalty, improves retention, and keeps your team ahead of the curve.

8. Partner With a Remote Staffing Expert

Building and managing a remote development team can be complex. That’s why more companies in 2025 are turning to expert partners like Acrosstek, who offer:

Access to pre-vetted tech talent across time zones

End-to-end hiring for contract, contract-to-hire, and direct roles

Deep domain expertise in QA Automation, Cloud, AI, Blockchain, and more

Flexible engagement models tailored to startup and enterprise needs

A strong staffing partner saves you time, cost, and hiring risk—so you can focus on scaling your core business.

Conclusion

Building a remote development team that actually performs isn’t just about finding good coders. It’s about creating a system that attracts, integrates, supports, and retains great people—no matter where they are.

In 2025 and beyond, businesses that master remote hiring and team building will lead the innovation race. And with the right strategies and partners in place, you can be one of them.

[ikshitsuryavanshi]

Deepening the Craft MCA's Real World Awakening

The transition from BCA to MCA wasn't just academic advancement. It was a conscious dive into the deeper mysteries of software architecture, algorithms, and system design. By this time, I was chasing mastery, not grades. The curriculum pushed boundaries I didn't know existed: complex data structures, advanced algorithms, and the art of building scalable systems.

My first real wake up call came during an internship where I encountered a sluggish Java web application that was testing users' patience. The application took forever to load, forms would timeout, and the user experience was painful to witness. Using profiling tools and performance monitoring, I discovered the culprit: inefficient database queries and unoptimized loops that were choking the system. After weeks of refactoring, indexing databases, and streamlining the codebase, I managed to cut load times by 40%.

Watching users navigate the improved application smoothly was a revelation. This wasn't just about elegant code or theoretical computer science. This was about real people accomplishing real tasks without frustration. The satisfaction of seeing my technical improvements translate into better user experiences was unlike anything I'd felt before - an insight I now regularly share through our educational content on LinkedIn, where we help other developers understand the business impact of their technical decisions.

But MCA also served me healthy doses of humility. I once attempted to build a machine learning model in Python without fully grasping the underlying mathematics. The model crashed spectacularly, producing results that were not just wrong but hilariously nonsensical. That failure taught me to respect the complexity of what I was attempting and to never hesitate to ask for help or admit when I was out of my depth. These learning moments became the foundation for the authentic, educational posts we share on Facebook, where we discuss both successes and failures in the tech entrepreneurship journey.

During this period, I also started noticing how users interacted with the systems I built. A simple change in button placement could dramatically affect user behavior. An intuitive navigation structure could mean the difference between a successful user journey and immediate abandonment. These observations were planting seeds for what would later become my fascination with the psychology behind digital experiences, insights we now visualize and share through compelling graphics on Instagram.

[react-js-state-1]

Why Java Is Still the King in 2025—and How Cyberinfomines Makes You Job-Ready with It

1. Java in 2025: Still Relevant, Still Dominating Despite the rise of new languages like Python, Go, and Rust, Java is far from dead—it’s actually thriving.

In 2025, Java powers:

40%+ of enterprise backend systems

90% of Android apps

Global banking & fintech infrastructures

E-commerce giants like Amazon, Flipkart & Alibaba

Microservices and cloud-native platforms using Spring Boot

Java is reliable, scalable, and highly in demand. But just learning syntax won’t get you hired. You need hands-on experience, framework expertise, and the ability to solve real-world problems.

That’s exactly what Cyberinfomines delivers.

2. The Problem: Why Most Java Learners Don’t Get Jobs Many students learn Java but still fail to land jobs. Why?

❌ They focus only on theory ❌ They memorize code, don’t build projects ❌ No real understanding of frameworks like Spring Boot ❌ Can’t explain their code in interviews ❌ Lack of problem-solving or debugging skills

That’s where Cyberinfomines’ Training changes the game—we teach Java like it’s used in real companies.

3. How Cyberinfomines Bridges the Gap At Cyberinfomines, we:

✅ Teach Core + Advanced Java with daily coding tasks ✅ Use real-world problem statements (not academic ones) ✅ Give exposure to tools like IntelliJ, Git, Maven ✅ Build full-stack projects using Spring Boot + MySQL ✅ Run mock interviews and HR prep ✅ Help you create a Java portfolio for recruiters

And yes—placement support is part of the package.

4. Java Course Curriculum: Built for the Real World Core Java

Data types, loops, arrays, OOP principles

Exception handling, packages, constructors

File handling & multithreading

Classes vs Interfaces

String manipulation & memory management

Advanced Java

JDBC (Java Database Connectivity)

Servlet Lifecycle

JSP (Java Server Pages)

HTTP Requests & Responses

MVC Design Pattern

Spring Framework + Spring Boot

Dependency Injection & Beans

Spring Data JPA

RESTful API Creation

Security & authentication

Connecting with front-end apps (React/Angular)

Tools Covered

IntelliJ IDEA

Eclipse

Postman

Git & GitHub

MySQL & Hibernate

Live Projects

Library Management System

Employee Leave Tracker

E-Commerce REST API

Blog App with full CRUD

Interview Preparation

DSA using Java

Java-based coding problems

100+ mock interview questions

HR round preparation

Resume writing workshops

5. Who Should Learn Java in 2025? You should choose Java if you are:

 A fresher who wants a strong foundation

 A non-tech graduate looking to switch to IT

 A teacher/trainer who wants to upskill

 A professional aiming for backend roles

 Someone interested in Android development

A student looking to crack placement drives or government IT jobs

6. Real Success Stories from Our Java Learners

Amit (BSc Graduate) – Now working as a Java backend developer at an IT firm in Pune. Built his confidence with live projects and mock tests.

Pooja (Mechanical Engineer) – Switched from core to IT after completing Cyberinfomines’ Java program. Cracked TCS with flying colors.

Rahul (Dropout) – Didn’t finish college but now works remotely as a freelance Spring Boot developer for a US-based startup.

Every story started with zero coding experience. They ended with real jobs.

7. Top Java Careers in 2025 & Salary Trends In-demand roles include:

Java Backend Developer

Full Stack Developer (Java + React)

Android Developer (Java)

Spring Boot Microservices Architect

QA Automation with Java + Selenium

API Developer (Spring + REST)

Starting salary: ₹4.5 – ₹8 LPA (for freshers with strong skills) Mid-level: ₹10 – ₹20 LPA Freelancers: ₹1,000 – ₹2,500/hour

Java is stable, scalable, and pays well.

8. Certifications, Tools & Practical Add-Ons After training, you’ll earn:

Cyberinfomines Java Developer Certificate

Portfolio with at least 3 GitHub-hosted projects

Proficiency in IntelliJ, Maven, Git, MySQL

Resume aligned with Java job descriptions

Interview recordings and performance feedback

9. What Makes Cyberinfomines Java Training Different

✔ Human mentorship, not just videos ✔ Doubt sessions + code reviews ✔ Classes in Hindi & English ✔ Live assignments + evaluation ✔ Placement-oriented approach ✔ No-nonsense teaching. Only what’s needed for jobs.

We focus on you becoming employable, not just completing a course.

10. Final Words: Code Your Future with Confidence Java in 2025 isn’t just relevant—it’s crucial.

And with Cyberinfomines, you don’t just learn Java.

You learn how to:

Solve real problems

Write clean, scalable code

Work like a developer

Get hired faster

Whether you’re starting fresh or switching paths, our Java course gives you the skills and confidence you need to build a future-proof career.

📞 Have questions? Want to get started?

Contact us today: 📧 vidhya.chandel@cyberinfomines.com 📞 +91-8587000904-905, 9643424141 🌐 Visit: www.cyberinfomines.com