Programmation pour tous (mise en route de Python) from Coursera

What's inside

Syllabus

Chapitre 1 - Pourquoi programmer ?

Nous vous présentons le contenu du cours et la première partie du chapitre 1, où nous explorons ce que signifie d’écrire des programmes. Nous terminons le premier chapitre avec un quiz et le premier devoir soumis au cours de la troisième semaine de classe. Tout au long du cours, vous pouvez revenir en arrière et examiner ce contenu. Cette section ne devrait pas durer une semaine complète.

Installer et utiliser Python

Ce module porte sur la configuration afin que vous puissiez écrire des programmes Python. Toutes les activités de ce module ne sont pas requises pour cette classe. Veuillez donc lire le contenu « Utiliser Python en classe » pour obtenir plus de détails.

Chapitre 1 : Pourquoi programmer ? (suite)

Le premier chapitre ressemble à une « vue d’ensemble » de la programmation pour que vous puissiez consulter un « sommaire » pour le reste du livre. Ne vous inquiétez pas si vous ne comprenez pas tout dès la première fois. Ce chapitre est assez étendu. Vous auriez intérêt à lire le chapitre du livre et à regarder les conférences pour mieux en assimiler tout le contenu. Vous voudrez peut-être revenir et regarder ces conférences une nouvelle fois après avoir couvert d’autres chapitres.

Chapitre 2 : Variables et expressions

Dans ce chapitre, nous expliquons comment un programme utilise la mémoire de l’ordinateur pour stocker, récupérer et calculer des informations.

Chapitre 3 : Code conditionnel

Dans cette section, nous passons du code séquentiel, qui exécute une ligne de code après l’autre, au code conditionnel où certaines étapes sont ignorées. C’est un concept très simple mais c’est ainsi que les logiciels informatiques font des « choix ».

Chapitre 4 : Fonctions

Ce chapitre est relativement court. Nous découvrirons les fonctions et leur mode d’utilisation. Les programmes des premiers chapitres du livre ne sont pas assez volumineux pour nous obliger à développer des fonctions. Ceci dit, au fur et à mesure que le livre évolue vers des programmes de plus en plus complexes, les fonctions seront un moyen essentiel pour comprendre notre code.

Chapitre 5 : Boucles et itération

Les boucles et les itérations complètent nos quatre modèles de programmation de base. Les boucles nous permettent de demander à Python de répéter sans cesse certaines actions. Les boucles permettent de construire des programmes qui gèrent un problème tant qu’il n’est pas résolu.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches Python 3, which is the current stable version of Python

Develops foundational skills in programming with Python

Uses a 'learn by doing' approach with activities and assignments

Covers the basics of Python, including variables, functions, and loops

May require students to purchase additional software or resources

Assumes basic computer literacy and experience with programming

Reviews summary

Highly rated introductory python course

This introductory Python programming course is well-regarded by its students. The course goes through the basics of Python programming, starting from the installation and setup of Python to coding in Python. It consists of 5 chapters that provide a comprehensive understanding of Python, starting with what programming is to variables, conditional code, functions, loops, and iteration. By the end of this course, students will be well-equipped to pursue advanced programming courses.

Career center

Learners who complete Programmation pour tous (mise en route de Python) will develop knowledge and skills that may be useful to these careers:

Quantitative Analyst

Quantitative Analysts develop and implement mathematical and statistical models to analyze financial data. Python is widely used in Finance, so this course may help you become more comfortable with basic Python programming.

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Web Developer

Web Developers design, create, and maintain websites. This course provides beginner-friendly fundamentals of programming in Python, a skill that's useful for working with web frameworks.

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Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. Python is widely used in machine learning, so this course can be a helpful introduction to the fundamentals of Python.

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Data Visualization Analyst

Data Visualization Analysts create visual representations of data to communicate insights. This course can provide you with a foundation in Python, a popular programming language used for data visualization.

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Software Developer

Software Developers design, develop, and test software applications. For roles requiring only a bachelor's degree, this course will introduce you to basic computer science programming concepts in Python. Learning the fundamentals of Python can help you build a foundation for coding.

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Computer Programmer

Computer Programmers write and test code that allows computer applications and software programs to run. Taking this course may help you become more comfortable with basic programming concepts in Python.

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Data Engineer

Data Engineers design, construct, and maintain the systems that store and process data. This course can provide you with a foundation in Python for roles that focus on data engineering with Python.

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Software Engineer

Software Engineers develop, maintain, and test software systems. This course can provide you with an introduction to Python programming for software engineering.

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Financial Analyst

Financial Analysts evaluate and make recommendations on investment opportunities. This course may help you build a foundation for using Python in financial analysis, as Python has become increasingly common in finance roles.

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Data Analyst

Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. Learning Python basics can be useful if you want to become a Data Analyst that uses Python coding in their role.

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IT Consultant

IT Consultants analyze organizations' technology needs and develop solutions. This course can build a baseline for developing problem-solving abilities that are key to consulting in the tech industry.

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Actuary

Actuaries use mathematical and statistical skills to assess risk and uncertainty. Python can be a helpful tool for data analysis in actuarial roles. This course can help you build a foundation for using Python in this career.

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Product Manager

Product Managers oversee the development and launch of new products. Understanding Python fundamentals can be helpful for Product Managers, especially for those that work with technical teams.

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Data Scientist

Data Scientists use programming, statistics, and math to extract valuable insights from data. This course's focus on Python can be a stepping stone towards learning more complex programming concepts necessary for data science

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Business Analyst

Business Analysts analyze business processes and develop solutions to improve efficiency. This course can introduce you to Python, whose automation capabilities can be used in business analysis.

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