Learn the basics of industrial automation and its different applications.

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.

Experienced and patient teacher of logic for computer science. I have taught logic, formal languages and automata theory to undergraduates for six years. My tutoring is adapted to the student's level and goals. Whether you need to learn logic for your studies, or you would simply like to know more about the subject, I will be more than happy to help you improve your understanding and skills. Logic The sciences presuppose a certain standard of rationality. An ability to distinguish between correct reasoning and claims that do not follow from the assumptions. In this class we study the basic principles of logic and apply mathematical techniques to the study thereof. Topics include: Propositional and Predicate Logic Syntax and semantics Semantic Tableaux Natural deduction Correctness and soundness Completeness Formal languages and automata A formal language is an abstraction of general characteristics of programming languages. Such a languages consists of a set of symbols together with some rules to determine whether a string made up out of those symbols is a member of the language. Topics include: Regular languages, context-free languages Finite automata, pushdown automata, Turing machines Regular expressions Regular grammar, context-sensitive grammar Pumping lemmas for regular and context-free languages

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.

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!

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.

Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---

Do you want to understand the heart of programming and solve complex problems efficiently? This algorithms course is designed for you! Whether you are a computer science student (SMI, SMA, SMP, SMC, SVT), an engineer (ENSA, ENSEM, ENSAM, ENIM) or simply passionate about code, algorithms are an essential step to excel in the world of technology. In this course you will learn how to: - Analyze and design efficient algorithms. - Solve common problems (sorting, searching, recursion, etc.). - Understand essential data structures (lists, stacks, queues, trees, graphs). - Optimize your programs to make them faster and more robust. Whether you are a beginner or want to improve your skills, this course adapts to your level and provides you with the tools you need to succeed in algorithms. Thanks to practical exercises, concrete examples and personalized support, you will leave this course with a solid mastery of algorithms. The programming languages used (of your choice): C, Python, C++, Java (or others).

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.

Hi there! I'm a Data Scientist and Data Analyst with over five years of experience, here to help you master Python, algorithms, SQL, and Power BI. I focus on practical, real-world applications, so whether you're just starting or looking to advance, my lessons will equip you with the skills to succeed. Let's make learning fun and effective!

I provide assistance with computer science modules that have a strong mathematical component, including predicate logic, cryptography, number theory, algorithm design, discrete and combinatorial optimization, graph theory, linear programming, machine learning, and more. Lessons include: - Solving specific types of problems, exercises, and past exams. - Assisting with homework and assignments. - Assisting with the preparation of final reports and projects.

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.

Civil engineer, with extensive experience in individual training, gives: >Maths, physics, chemistry, statistics, algebra, geometry, analysis >Electricity, automatic, electronic For secondary level up to master. I illustrate the theory on the basis of concrete examples thanks to my experience in the business environment.

I present to you a course in algorithms and the basics of the c language which will help you to understand the fundamentals of programming (conditions, loops, functions, procedures etc.). First we will learn how to write algorithms then in a second part we are going to learn how to implement these algos in c language.

Associate professor in engineering sciences, 5 years of professional experience at all levels, college, high school, university, preparatory classes, engineering schools. Gives courses from college to university, preparation for exams, revisions, oral preparation, development of study methodologies. Webcam lessons