Advanced Software Engineering Techniques: Mastering Algorithms and Code Optimization

Data Structures and Algorithms are the building blocks that make up the solutions to all computational problems. Understanding how to organize data and about fundamental algorithms is essential for solving all computational problems now and in the future. If you truly want to understand computer science, start from here.

As an associate professor of industrial sciences and mechanical engineering, I give private lessons at the following level: * Course of the mechanical modules of solids. * Rational mechanics course. For schools and technical faculties * RDM and MMC courses * Mechanical construction course * Course of industrial computing modules

Unlock your potential in software development with my personalized tutor services. Having Master's specialization in Full Stack Software Development from Finland and professional expertise in Java, Python, Kotlin, JavaScript, and modern frameworks, I provide hands-on lessons tailored to your needs. Learn essential skills like: Web Development (HTML, CSS, Javascript, React, Node.js) Backend & API Development Mobile App Development (Kotlin, Flutter) Version Control with Git & GitHub Best practices in Agile and SDLC methodologies Whether you're a beginner or looking to advance your programming career, my structured lessons focus on practical, project-based learning to ensure your success in the ever-growing tech industry. Join me to start building your tech career today!

I am a lecturer and a senior software engineer. I got my degree in Engineering with Mathematics and completed the masters with Computer Science heavily covered with mathematics. I have more than 7 years of teaching experience. I will work with the student and get to know about his/her level. Then I will improve it from there. I will teach so that the learning will be an interesting experience for the child.

I am a data engineering specialist. I can teach you Python programming, I can also teach you algorithms, data structures, or we can have a session to discuss any questions you have about the software and data engineering job market requirements. How can you draw your study and career plan to succeed in the job market?

Start with the fundamentals like variables, loops, and conditionals, and progress to more advanced concepts including manipulating files, images, and using Python libraries like Numpy, Scipy, Pandas, and Matplotlib. Also explore the fundamentals of object-oriented programming. Why choose this Course? By opting for these courses, you will have the opportunity to consolidate your knowledge through practical exercises and concrete mini-projects which will strengthen your Python skills. Each session will be interactive, allowing you to ask questions and receive constructive feedback on your code. You will be able to benefit from personalized support. Lessons are tailored to your level, whether you're looking to pursue a career in programming or just want to learn for fun. Sessions are tailored to your goals, and ongoing support is provided to overcome any challenges you may encounter.

I offer an online introductory course to Python programming. The course is divided into 24 sessions, each session lasts 1 hour. The participant will learn at their own pace and will benefit from the expertise and teaching skills of a teacher with a doctorate in computer science. At the end of the course, the participant will master the fundamental concepts of Python programming.

Personalized Tutoring for Learning Coding and Programming in Python This online tutoring program is designed to provide you with personalized learning in computer programming with the Python language. Whether you are a complete beginner, a student looking to deepen your knowledge, or a professional eager to master Python, this course adapts to your level and specific needs. By covering the fundamentals of programming, advanced data structures, and complex problem solving, this tutoring will help you acquire the skills needed to excel in software development, data analysis, and artificial intelligence. --- Why choose this program? - Personalized approach: Each session is perfectly adapted to your specific needs and your learning pace. You have the opportunity to ask questions at any time and benefit from personalized follow-up between each session. - Interactive methodology: Practical learning with concrete exercises, case studies and real projects to allow you to directly apply theoretical concepts. - Flexibility of formats: Choose between 60, 90 or 120 minute classes depending on your goals and schedule. - Practice-oriented course: Programming is a field that is learned by doing, each course includes a large part of practice to consolidate the acquired knowledge. --- Course content: Beginner level: 1. Introduction to Python: - Basic syntax, data types (integers, strings, lists, dictionaries, etc.). - Control structures: conditions (if, else), loops (for, while). - Functions and arguments: creation and use of functions. 2. Object-oriented programming (OOP): - Introduction to OOP: classes, objects, attributes and methods. - Encapsulation, inheritance, polymorphism and abstraction. - Implementation of OOP in simple projects. 3. Introduction to file management: - Reading and writing text and CSV files. - Data manipulation for real applications. --- Intermediate level: 1. Advanced data structures: - Advanced lists, stacks, queues and dictionaries. - Algorithm concepts: sorting, searching, algorithmic complexity. - Use of Python libraries: NumPy, Pandas for data manipulation. 2. Error and exception handling: - Introduction to exceptions and error handling in Python. - Creation of custom error messages and handling of common exceptions. 3. Practical projects: - Development of medium-sized projects, such as simple games or data management applications. - Solving real-world problems, such as analyzing data from external files. --- Advanced level: 1. Advanced Libraries and Practical Applications: - Introduction to libraries for web development (Flask, Django) and data analysis (Matplotlib, Seaborn). - Applications of Python in artificial intelligence and machine learning with libraries like TensorFlow or scikit-learn. - Implementation of complex projects using data analysis and visualization tools. 2. Code optimization: - Techniques to improve the performance of Python code. - Memory management and algorithm optimization. 3. Advanced projects: - Development of complex projects in Python such as web applications, data analysis or large-scale data processing tools. --- Course schedule: - 60 minutes: Ideal for tackling a specific topic, working on an exercise or exploring a concept in a targeted manner. - 90 minutes: Allows for a more in-depth exploration of concepts, with concrete examples and interactive exercises. - 120 minutes: Intensive format for revisions, completing complete projects or studying more advanced concepts. Each session includes: 1. Theoretical introduction: Quick review of key concepts or introduction to new topics. 2. Live Practice: Applying concepts with exercises or code in real time, allowing for active learning. 3. Projects: Construction of real projects to put into practice the knowledge acquired. 4. Questions and answers: Time dedicated to clarifying difficult points or problems encountered during the session. --- Resources and tools provided: - Teaching materials: Detailed course documents, practical exercises, projects to complete. - Interactive platform: Use of digital whiteboards, screen sharing to visualize code, and real-time collaboration tools. - Personalized monitoring: You can ask questions outside of class, receive feedback on your projects and benefit from progress monitoring. --- About the trainer: A Python programming expert with several years of experience in teaching and practicing software development. With clear and practice-oriented pedagogy, the trainer will help you move from beginner to intermediate or improve your skills if you are already familiar with the Python language. --- Book your course now! If you want to learn Python programming in an efficient, flexible and practical way, this tutorial is for you. Sign up today to start coding with confidence and progress quickly!

Doctor in Materials Physics and Chemistry, graduated from the University of Paris-Saclay. I have extensive experience in physics and chemistry, with a particular interest in teaching and popularizing science. Passionate about sharing knowledge, I support undergraduate students in their understanding of fundamental concepts in physics.

Welcome to Personalized Learning Excellence! In our first session, we'll set expectations and explore your preferred learning methods. My tutoring is all about you – flexible, interactive, and tailored to your pace. Engage in dynamic voice chats, where questions are encouraged, and concepts are demystified at your speed. Whether you bring your ongoing projects or pinpoint specific challenges, I'm here to guide you. We'll dive deep, strengthening your reasoning skills as we unravel coding puzzles together. Struggling with a particular topic? Fear not! Share your concerns, and I'll craft targeted activities that not only conquer the hurdle but also illuminate interconnected concepts, ensuring you build a robust foundation. Unlock the potential of ongoing learning in our programming sessions. Each lesson serves as a stepping stone, building upon the last to deepen your coding expertise. Join me for a transformative experience where the cumulative effect of multiple sessions enhances your programming prowess. Let's embark on a series of lessons that delve into the intricacies of coding, turning each session into a valuable building block toward your programming mastery. Let's embark on a learning journey where understanding takes the lead, and your coding proficiency soars to new heights!

This class is designed to provide pupils studying computer programming either as part of the National Curriculum in England (Key stage 1,2,3 & 4) or as a career path. It's purpose is to teach information and computation, digital systems and how they are put to use through programming, as well as to provide pupils with the capability to use information technology to create programs, systems and digital content. Also to provide computer literacy to pupils allowing them to express their thoughts and ideas through Information & Communication Technology (ICT) in a way that is suitable for todays workplaces. The class aims to ensure that you: - can understand and apply the fundamental principles and concepts of computer science, including abstraction, logic, algorithms and data representation - can analyse problems in computational terms, and have repeated practical experience of writing computer programs in order to solve such problems - can evaluate and apply information technology, including new or unfamiliar technologies, analytically to solve problems - are responsible, competent, confident and creative users of information and communication technology

Get your foot in the door of DevOps and Programming. Experience the day-to-day life of a corporate DevOps/Software engineer, diving into the magic of building real projects while collaborating with a other motivated Team members. Boost your beginner skills to a robust level in months, not years. Are you bored of passive video courses that leave your knowledge empty? Then this course might be just what you're looking for! Jump into a fully replicated the daily routine and workflow of a modern DevOps/Software engineer. --- My name is Georgi and your course will be led by my battle-tested expertise in the IT industry. I have many years of experience as a Network engineer, Software engineer, and DevOps & Cloud engineer. Throughout my career, I have been involved in numerous projects, assisting a wide range of companies, from small startups to large corporations, in achieving their goals. ---

Ideal for beginners to build a foundation in algorithms and coding logic. - Computer Science Fundamentals: Basics of algorithmic concepts and data structures. - Programming Basics: Connecting algorithms to coding practices. - Problem Solving: Applying algorithms to real-world scenarios for analytical skills. - Practicing programming languages including C, Python, and Java.

This course offers a comprehensive exploration of structural engineering principles, designed for both beginners and those seeking to deepen their knowledge. We will cover foundational concepts such as load analysis and structural systems, before progressing to advanced topics including indeterminate structures analysis. Join me to build a solid foundation and advance your existing knowledge through a set of appropriate theoretical concepts and practical examples

You will learn C# programming language from beginner to professional level. You will learn how to create complete programs during the course and market them online. Such as managing a restaurant, a mobile phone store, a point of sale company, a law office, a school or university, a mall, a clothing store, a car company, and many others.