Introduction to the Python language for students and professionals

Cette classe est conçue pour les lycéens désireux d'approfondir leurs connaissances et compétences dans les domaines des mathématiques, de la physique et de l'informatique. Ce que vous apprendrez : - Mathématiques:Nous couvrirons des sujets allant de l'algèbre et la géométrie à l'analyse et la trigonométrie. Les élèves apprendront à résoudre des problèmes complexes, à comprendre les théorèmes fondamentaux et à appliquer les mathématiques dans des situations réelles. - Physique : Les concepts de base tels que la mécanique, l'électricité, le magnétisme et la thermodynamique seront abordés. Les étudiants effectueront des expériences pratiques pour mieux comprendre les principes physiques et leurs applications. - Informatique : Introduction à la programmation, algorithmes et structures de données, ainsi que les bases de la science des données et de l'intelligence artificielle. Les élèves développeront des projets concrets pour appliquer leurs compétences en programmation. Objectifs de la classe: - Maintenir les étudiants engagés et motivés en leur présentant des défis adaptés à leur niveau. - Fournir des devoirs après chaque leçon pour renforcer les concepts appris. - Offrir des rapports de progression périodiques pour suivre l'évolution de chaque élève. À qui s'adresse cette classe: Cette classe est idéale pour les lycéens passionnés par les sciences et la technologie, souhaitant approfondir leurs connaissances et se préparer pour des études supérieures dans des domaines scientifiques. Que vous soyez débutant ou que vous ayez déjà des bases solides, cette classe vous aidera à progresser à votre rythme dans un environnement stimulant et bienveillant.

Aged 27, 4 years' experience in the field of teaching science subjects, Graduated with a Master's degree in Business Intelligence, Info Developer for 3 years, I offer courses in computer science for different languages and frameworks also intended for students in classes preparatory and license in computer science. Tailor-made training adapted to the profile of each student whatever his difficulties, with a pleasure of teaching; academic orientation sessions, and then the addition of other subjects that I master is surely possible.

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Looking to master programming and become a skilled developer? In this course, you'll learn the basics of Python and other programming languages, as well as how to use them to build machine learning models. We also offer specialized assistance for students in programming and database management using SQL (CPGE students). Python is a powerful general-purpose language used in web development, data science, software prototyping, and more. Its simple and easy-to-use syntax makes it an excellent choice for beginners learning to program. Additionally, upon request, we offer courses in other programming languages such as C, R, and MATLAB. Classes can be conducted remotely or in person, and we tailor our instruction to meet individual or group needs. If you have any questions, feel free to contact us.

Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

As a Franco-Belgian management teacher, I give Excel lessons with passion! Whether remotely or face-to-face, I offer many examples and exercises to accompany you. I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely. Here are some key words that will be covered in my classes: Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

This class offers a comprehensive, engaging learning experience in both math and Python programming, tailored for students from primary to high school. Through interactive lessons, students will build a solid foundation in math, covering topics such as arithmetic, fundamental of math for primary schools Basic Arithmetic (Addition, Subtraction, Multiplication, Division) Number Sense and Place Value Introduction to Fractions and Decimals Geometry Basics (Shapes, Perimeter, Area), and for Middle schools Fractions, Decimals, and Percentages Ratios and Proportions Basic Algebra (Equations, Expressions). In parallel, students who gets IT lessons fron me will explore the world of programming with Python, starting from basic syntax and progressing to real-world applications, including data analysis, some tasks to perform the tasks

Knowledge is a powerful resource when used well. This class will focus on understanding Math, Physics, and Computer Science at National 5. This is an important phase for all students. It is where you build your fundamentals, which will hold for the future, it will fuel your future understanding, and help you to achieve your goals. In this course, I will ensure you understand why you are using these equations, where they originated from so that they can be used elsewhere in your education, what use they have in the test, and, as a bonus, the real-world applications. This is also a good reminder course for students to revise any certain topic or concept.

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.

Greetings! I am a geospatial analyst at Transport for London and I specialise in building and running Geographic Information Systems (GIS) through different technologies. As part of my specialisation, I teach and assist early and mid-career geographers with GIS, specifically how to retrieve and create data, run any type of geospatial analysis and interpret the results. I work in both QGIS and ArcGIS environments and I would be more than happy to help with specific projects the students have in mind, if applicable. Otherwise, I have student-focused study programmes that provide the foundations as well as more advanced knowledge and skills. Feel free to contact me for a chat!

In this class, you’ll embark on an exciting journey into the world of programming with Python. You’ll start by writing your very first Python program, gaining hands-on experience from the get-go. As you progress, you’ll delve into the core fundamentals of Python, including variables, data types, control structures, functions, and modules.

As an experienced computer trainer, I offer personalized courses in the field of computer science in general, as well as in algorithms and programming. My goal is to help students progress without overburdening them. After each lesson, homework will be assigned and progress reports will be provided periodically. This course is intended for beginners as well as intermediate level students. The objective is to learn how to program functions and to develop professional thinking in this area.

What You’ll Learn: Front-end Technologies: HTML, CSS, JavaScript, React.js, Next.js, TailwindCSS for creating dynamic, responsive applications. Back-end Mastery: Node.js, Nest js, Express, and Fastify for building robust and scalable web servers. Databases: MySQL, PostgreSQL, and MongoDB for handling data efficiently. DevOps & Deployment: Learn Docker, CI/CD with GitHub Actions, and cloud deployment practices to ensure your applications are production-ready. How You Will Benefit: Students: Gain the technical skills and portfolio to ace your academic projects and land internships or entry-level jobs. Self-Taught Learners: Stop the guesswork and follow a structured, hands-on approach to mastering full-stack development faster. Professionals: Upgrade your skills to meet the demands of modern web development and position yourself for career growth. Why My Course is Different: Real-World Projects: You'll build applications that solve real business problems, like a complete e-commerce site, RESTful APIs, and microservices. Tailored Learning: Each course is personalized to your experience level and goals, ensuring you get the most out of every session. Problem-Solving Focus: From debugging to performance optimization, you'll learn to tackle real-world challenges confidently. Industry-Relevant Skills: Stay ahead of the curve with training in modern technologies and practices that top employers are looking for.

Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction. 1- Install MongoDB 2- Implement MongoDB 3- Use of documents and collectibles 4 - Leadership Committee 5- Execute CRUD commands (create, read, update, delete) avec mongo shell 6- Type the register in a MongoDB database 7- Reset the base to remonter specific documents depuis mongo shell. 8- Lagrégation 9- Indexing 10- Amending institutions and transactions

Welcome to "Machine Learning with Python and PyTorch: Practical Hands-on Training," a beginner-friendly course designed to introduce you to the exciting world of machine learning using two of the most popular tools in the industry: Python and PyTorch. This course focuses on practical, hands-on learning, ensuring you gain the skills needed to start building your own machine learning models. #### Course Objectives: - **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning. - **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications. - **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework. - **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises. - **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models. #### Course Outline: 1. **Introduction to Machine Learning:** - What is machine learning? - Types of machine learning: supervised, unsupervised, and reinforcement learning - Applications of machine learning in different industries 2. **Python Programming Essentials:** - Introduction to Python programming - Data structures and libraries (NumPy, Pandas) - Basic data manipulation and visualization (Matplotlib, Seaborn) 3. **Getting Started with PyTorch:** - Introduction to PyTorch and its ecosystem - Setting up your environment and installation - Understanding tensors and basic tensor operations 4. **Building Your First Machine Learning Model:** - Data preprocessing and preparation - Splitting data into training and testing sets - Building a simple linear regression model with PyTorch 5. **Training and Evaluating Models:** - Understanding the training process - Loss functions and optimization algorithms - Evaluating model performance using metrics 6. **Advanced Models and Techniques:** - Introduction to neural networks - Building and training a neural network with PyTorch - Exploring convolutional neural networks (CNNs) for image classification 7. **Practical Projects and Applications:** - Hands-on projects to reinforce learning - Real-world applications and case studies - Tips and best practices for successful machine learning projects 8. **Next Steps in Your Machine Learning Journey:** - Exploring further learning resources - Joining machine learning communities and forums - Preparing for advanced topics and courses #### Who Should Enroll: - Beginners with no prior experience in machine learning - Individuals interested in learning Python programming - Aspiring data scientists and machine learning enthusiasts #### Prerequisites: - Basic computer literacy and familiarity with high school-level mathematics - No prior programming or machine learning experience required #### Course Outcomes: By the end of this course, you will be able to: - Understand the fundamental concepts of machine learning - Write and execute Python code for machine learning tasks - Use PyTorch to build, train, and evaluate machine learning models - Apply your knowledge to real-world problems and projects - Take the next steps in advancing your machine learning skills Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.