Agent-Based Modelling using Mesa library in Python

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.

This Python course is designed for learners who want to go beyond the basics and explore how Python is used in cutting-edge research, data analysis, and web development. Drawing on my extensive academic and research background, I teach modern programming techniques using powerful libraries such as Pandas, SciPy, and Preply for advanced data analysis and statistical modeling. The course also covers real-world applications of Python in scientific research and introduces tools for building dynamic web-based solutions. Emphasis is placed on practical problem-solving, efficient coding practices, and leveraging the latest Python technologies to prepare students for both academic and professional success.

Microsoft Power BI is a data analysis solution from Microsoft. It allows you to create custom and interactive data visualizations with an interface simple enough for end users to create their own reports and dashboards. It can point to different data sources, namely Excel, SharePoint, Oracle databases, etc.

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Curso de Python dese 0 hasta orintacion a objeto. --> map, filters,reduce --> Compresiones --> Esctructuras sequenciales -->LLibrerias Aprende python para poder ser un buen data science, machine learning enginear, data analytics, code developer.

In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments. Contact me if you want to have more information about the course!

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Engineer in engineering sciences option electrical engineering Senior professor of engineering sciences SKILLS IS engineering sciences Embedded system (microcontrollers, z80 microprocessors, Motorola, ARM), Real-time system, network concept (OSI, TCP/IP), design of systems and electronic cards (analog, digital, power supply), signal processing, communication protocols ( SPI, I2C, CAN BUS, UART...), telecommunications. Technical skills : Languages: C / C ++, JAVA, VHDL / VERILOG, Python, Assembler. Professional software: MATLAB, SIS + PSIM + PSpice, QUARTUS, IDE68, Mikro C, Xilinix ISE, Labview, CoIDE. Technologies: Siemens PLC, Allen bradeley, STM32, FPGA, TIA Portal, STEP7, RSLogix  Electrical engineering: Electric motors, Transformers  Renewable energies: study of the solar pumping installation and the wind turbine installation.  Electronics: analog, digital, power electronics, system electronics and instrumentation biomedical.  Networks and telecommunications.  Industrial IT and programmable logic controllers.  Automatic: modeling, identification and control of systems.  Mechatronics.  MATLAB • Noise and vibration of asynchronous motors • Speed variator • Study and implementation of LV / MV standards • Electrical accreditation: NF C18-510 standard • NF C 15-100 electrical installations • Management of electrical energy in networks (Continuous Power Flow)

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This course covers the basics of computer networking, including protocols, IP addressing, routing, and network services. Students will also get familiar with practical tools used in penetration testing and network monitoring. A hands-on approach helps students apply concepts in real-world scenarios.

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.

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.

This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding. Online Course: Introduction to Python - Programming Basics and Simple Applications Duration : - 60 minutes: intensive format to learn fundamental concepts. - 90 minutes: In-depth format with more time for practical examples and interactive questions. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops. 2. Write and run simple Python scripts. 3. Manipulate inputs and outputs to interact with the user. 4. Solve practical problems with short, functional programs. --- Course syllabus 1. Introduction (10-15 min) - Presentation of Python: Why this language? - Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook). - First program: *"Hello, World!"*. 2. Python Basics (20-30 min) - Variables and data types (integers, strings, lists). - Mathematical operations and data manipulation. - Conditional structures (if/else) and loops (for/while). 3. Practical exercises (20-35 min) - Write a program to calculate the sum of two numbers provided by the user. - Create a simple application, like a currency converter or password generator. - Bonus for 90 min format: Fixed a more complex issue involving lists or loops. 4. Q&A and conclusion (5-10 min) - Summary of the concepts covered. - Suggestions for resources to continue learning. - Feedback on the course. --- Teaching methodology - Interactive and engaging: the course combines theoretical explanations with practical exercises. - Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time. - Learning by doing: examples and exercises are designed to help you assimilate concepts quickly. --- Target audience This course is ideal for: - Complete beginners in programming. - Students or professionals wishing to acquire skills in Python for their personal or professional projects. - Anyone curious to discover a powerful and versatile tool for solving problems. --- Benefits of this online course - Teaching by an experienced and passionate trainer. - Interactive sessions adapted to your learning pace. - Access to educational materials and exercises to continue practicing after the course. Join us now to discover programming and its applications using Python! ---