fundamental of Data structure - Data Structure and its Importance

Computer is one of the back bone of our day today activity that will help us to operate and Manage activity to save our time, space and Resource.therefore It is mandatory to upgrade the knowledge of computer application.we will have a discussion schedules on Computer hard ware and Software.

Computer Science is a new field born out of the quest to answer fundamental questions about philosophy of mathematics. The wonderful book of nature is written in the language of mathematics. Edsger W. Dijkstra said that Computing Science(computer Science) Is Not About Computers, Any More Than Astronomy Is About Telescopes. Biology is not about microscopes, and computer science is not about computers. Computers are the simply the by-products of the foundational and deep theoretical research in computer science. Computer science is a science that studies about computational problems. Computer Science is about what is computable and non-computable. It is the attempt towards the mechanization of our thought. Computer Programming is the way we solve our computational problems using computer gadgets. To reiterate: Mathematics is at the heart of both computing science research and solving computational problems using computer programming.

in this globalized world science fields and information technology has a powerful weapon for the development of one country,however the educational curriculum is more primitive ways of learning(not Technology based),so i am graduate of information system ans i want to contribute my effort to teach students starting from the lower grade level to advance level.

Generally, computer science refers to designing and building computers and computer programs. Information technology, on the other hand, refers to maintaining and troubleshooting those computers and their networks, systems, and databases to ensure they run smoothly.

Python is an interpreted, high-level and general-purpose programming language. Python is used successfully in thousands of real-world business applications around the world, including many large and mission critical systems. Once you fall in love with python, you can use the programming language for developing both desktop and web applications. Also, you can use Python for developing complex scientific and numeric applications. Python is a great language for the beginner-level programmers and supports the development of a wide range of applications. In this tutorial you will learn python basics, data science and advanced levels.

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This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed. 1. Mechanics: Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration. Dynamics: Newton's laws, work and energy, kinetic energy theorem. 2. Electromagnetism / Electrokinetics: Electrostatics: Electric charges and fields, electric potential, capacitance. Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction. Alternating Currents: RLC circuits, resonance, impedance. 3. Thermodynamics: Principles of thermodynamics: Internal energy, heat, work, first and second principles. Ideal and real gases: Equations of state, thermodynamic transformations. 4. Industrial sciences: Automatic Linear, Kinematic, Static. For more information and to register for the preparation session, please contact me. Good preparation and success in your studies! .

If you've ever looked at a database and thought, "Where do I even start?"—this course is for you. I'm going to teach you SQL from the ground up, no fluff, no jargon, just the real stuff you need to get confident writing queries that actually do something useful. We'll start with the basics—how to pull data from a table—and build up to more advanced topics like joins, aggregations, subqueries, and even window functions. You’ll learn how to ask the right questions, write clean, readable queries, and solve real-world problems with data.

Are you ready to create interactive, visually appealing websites that stand out in today’s competitive market? In this course, you’ll master the essential front-end development skills: ✅ HTML, CSS, and JavaScript – Build responsive and modern web pages ✅ React & Vue.js – Learn cutting-edge frameworks for dynamic UIs ✅ Real-World Projects – Work on hands-on projects to strengthen your skills ✅ Problem-Solving & Creativity – Develop intuitive, user-friendly interfaces 🔹 Who is this course for? - Beginners who want to break into web development - Developers struggling with front-end concepts - Anyone looking to level up their skills and build real projects 🚀 Stuck on a project? Want to learn high-income tech skills? This course will help you gain confidence, land opportunities, and grow in the tech industry. 📩 Contact me for more details and start your front-end journey today!

Dive into the world of SQL databases with this comprehensive course designed for learners of all levels. Whether you are new to databases or seeking to expand your expertise to advanced concepts like distributed systems, this course has you covered. What You can Learn: - Fundamentals of relational databases and SQL syntax. - Designing robust databases using normalization and entity relationships. - Writing complex queries, joins, and subqueries. - Database optimization techniques for performance tuning. - Implementing stored procedures, triggers, and views. - Managing transactions and ensuring data integrity. - Understanding and working with distributed database systems like Distributed PostgreSQL

With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world. Expertise & Teaching Areas: ✅ Programming & Software Development: Python, Java, C++ ✅ Cybersecurity: Ethical hacking, data protection, network security ✅ Digital Literacy: ICT applications, online safety, cloud computing ✅ Data Science & AI: Data analysis, machine learning fundamentals ✅ Web Development: HTML, CSS, JavaScript Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

Java is one of the most important of all computer programming languages. But learning Java can seem like a daunting task. Not any longer! In this course I will train you well in Java Programming step-by-step. Starting from basis right through the more advanced topics. No prior knowledge is required. Course outlines: - Objected Oriented Programming concepts (OOPS) - Core Java Programming Introduction of Java - Data types and Variables - Methods - Control Flow Statements - Operators and Expressions - While and do-while Loops - Object-oriented Programming - Objects and classes - Using Java Objects - Java Files and I/O - Interfaces and Abstract Classes - Inner Classes

Empower young minds to create their own mobile apps with this fun and interactive course! Designed for children aged 9 to 13, this course introduces app development using MIT App Inventor, a beginner-friendly platform that makes coding easy and exciting. Students will learn the basics of programming, user interface design, and problem-solving as they build their own functional Android apps. Through hands-on projects and creative challenges, they will develop logical thinking and digital skills while bringing their ideas to life. No prior experience is needed—just curiosity and a passion for technology!

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Neural Network is a powerful machine learning tool used for classification & prediction. It works as function approximation from experienced data of inputs and outputs entered to the training process to create the model. The concept of neural network can be thought theoretically by mathematics, but the course will include also a practical coding using Matlab Software.