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Fatima Youssef
Dans ce cours d'une heure, basé sur un projet vous apprendrez les types de nombres en python, ainsi que les arithmétiques et les opérateurs de comparaison en Python. A la fin de ce projet, vous serez capable d'utiliser les nombres en Python tel que ses types , ses affectations, les arithmétiques, et les opérateurs de comparaison.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation for beginners
Develops skills relevant to both industry and academia
Offers hands-on labs and interactive materials
Taught by an instructor recognized for their work in Python
Provides a comprehensive study of Python numbers
May require students to have some prior programming experience

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Reviews summary

Positive python numbers course

This course teaches you about Python number types, arithmetic, and comparison operators. One student found the course to be intuitive and helpful, but suggested that the instructor prepare more in advance.
Teaches concepts intuitively
"Cours explique beaucoup de concepts d'une manière intuitive, bravo!"
Instructor should prepare more
"...je trouve que le cours sera beaucoup mieux si la prof prépare ce qu'elle va dire avant et d'éviter d'improviser."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Des nombres et plus en Python with these activities:
Compile your notes and assignments
This will help you organize your learning materials.
Show steps
  • Gather your notes and assignments
  • Organize the materials
  • Store the materials in a safe place
Read 'Head First Python'
This book provides a comprehensive introduction to Python.
Show steps
  • Get a copy of the book
  • Start reading
  • Complete the exercises
Practice solving programming problems
This will help build a strong foundation for programming in Python.
Browse courses on Python Programming
Show steps
  • Find a list of programming problems
  • Start solving problems
  • Check your solutions
Four other activities
Expand to see all activities and additional details
Show all seven activities
Watch Python tutorials on YouTube
This will help supplement your understanding of Python.
Browse courses on Python Programming
Show steps
  • Find a list of Python tutorials
  • Start watching tutorials
  • Take notes
Join a Python study group
This will provide an opportunity to collaborate with other Python learners.
Browse courses on Python Programming
Show steps
  • Find a study group
  • Attend meetings
  • Participate in discussions
Build a small Python project
This will provide hands-on experience applying Python skills.
Browse courses on Python Programming
Show steps
  • Choose a project idea
  • Start building the project
  • Deploy the project
Start a personal Python project
This will provide an opportunity to apply Python skills and build a portfolio.
Browse courses on Python Programming
Show steps
  • Choose a project idea
  • Start building the project
  • Deploy the project

Career center

Learners who complete Des nombres et plus en Python will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use Python to analyze data, identify trends, and make recommendations to businesses. This course on numbers and Python can help Data Analysts understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Data Analysts ensure that their data analysis is accurate and reliable.
Data Scientist
Data Scientists use Python to build models, analyze data, and make predictions. This course on numbers and Python can help Data Scientists understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Data Scientists ensure that their models are accurate and reliable.
Statistician
Statisticians use Python to analyze data and make predictions. This course on numbers and Python can help Statisticians understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Statisticians ensure that their models are accurate and reliable.
Software Engineer
Software Engineers use Python to develop software. This course on numbers and Python can help Software Engineers understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Software Engineers ensure that their software is accurate and reliable.
Financial Analyst
Financial Analysts use Python to analyze financial data and make recommendations to businesses. This course on numbers and Python can help Financial Analysts understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Financial Analysts ensure that their financial analysis is accurate and reliable.
Quantitative Analyst
Quantitative Analysts use Python to analyze data and make predictions. This course on numbers and Python can help Quantitative Analysts understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Quantitative Analysts ensure that their models are accurate and reliable.
Actuary
Actuaries use Python to analyze data and make predictions. This course on numbers and Python can help Actuaries understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Actuaries ensure that their models are accurate and reliable.
Mathematician
Mathematicians use Python to perform complex calculations. This course on numbers and Python can help Mathematicians understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Mathematicians ensure that their calculations are accurate and reliable.
Robotics Engineer
Robotics Engineers use Python to program robots. This course on numbers and Python can help Robotics Engineers understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Robotics Engineers ensure that their robots are programmed correctly and can perform their tasks accurately and reliably.
Astronomer
Astronomers use Python to perform complex calculations. This course on numbers and Python can help Astronomers understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Astronomers ensure that their calculations are accurate and reliable.
Physicist
Physicists use Python to perform complex calculations. This course on numbers and Python can help Physicists understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Physicists ensure that their calculations are accurate and reliable.
Meteorologist
Meteorologists use Python to perform complex calculations. This course on numbers and Python can help Meteorologists understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Meteorologists ensure that their calculations are accurate and reliable.
Geophysicist
Geophysicists use Python to perform complex calculations. This course on numbers and Python can help Geophysicists understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Geophysicists ensure that their calculations are accurate and reliable.
Oceanographer
Oceanographers use Python to perform complex calculations. This course on numbers and Python can help Oceanographers understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Oceanographers ensure that their calculations are accurate and reliable.
Business Analyst
Business Analysts use Python to analyze data and identify trends. This course on numbers and Python can help Business Analysts understand how to use Python to perform basic numerical operations, including arithmetic and comparisons. This can help Business Analysts ensure that their data analysis is accurate and reliable.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Des nombres et plus en Python.
Is an introduction to natural language processing with Python. It covers a wide range of topics, including text preprocessing, text classification, and text generation. It good resource for beginners who want to learn how to use Python for natural language processing.
Is an introduction to Python for finance. It covers a wide range of topics, including financial data analysis, algorithmic trading, and risk management. It good resource for beginners who want to learn how to use Python for finance.
Is an introduction to Python for web development with Django. It covers a wide range of topics, including Django fundamentals, web application development, and deployment. It good resource for beginners who want to learn how to use Python for web development.
Self-paced introduction to Python programming. It covers a wide range of topics, including data types, variables, control flow, functions, and object-oriented programming. It good resource for beginners who want to learn Python in a structured way.
Quick reference to Python programming. It covers a wide range of topics, including data types, variables, control flow, functions, and object-oriented programming. It good resource for experienced Python programmers who need a quick reference.
Guide to writing effective Python code. It covers a wide range of topics, including code style, best practices, and performance optimization. It good resource for experienced Python programmers who want to improve their coding skills.
Collection of recipes for solving common Python programming problems. It covers a wide range of topics, including data manipulation, web development, and system administration. It good resource for experienced Python programmers who need help with specific tasks.
Project-based introduction to Python programming. It covers a wide range of topics, including data types, variables, control flow, functions, and object-oriented programming. It good resource for beginners who want to learn Python by doing.
Is an introduction to data analysis with Python. It covers a wide range of topics, including data cleaning, data manipulation, data visualization, and machine learning. It good resource for beginners who want to learn how to use Python for data analysis.
Is an introduction to machine learning with Python. It covers a wide range of topics, including data preprocessing, model selection, and model evaluation. It good resource for beginners who want to learn how to use Python for machine learning.
Is an introduction to deep learning with Python. It covers a wide range of topics, including neural networks, deep learning models, and deep learning applications. It good resource for beginners who want to learn how to use Python for deep learning.
Is an introduction to Python programming for absolute beginners. It covers a wide range of topics, including data types, variables, control flow, functions, and object-oriented programming. It good resource for beginners who have no prior programming experience.
Covers the basics of Python programming, including data types, variables, control flow, and functions. It good resource for beginners who want to learn the basics of Python.

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