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.

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 Programmation pour tous (mise en route de Python) with these activities:

Organize and summarize course materials

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Improves your understanding and retention of course materials by organizing and synthesizing the information.

Browse courses on Python

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Review lecture notes, textbook readings, and assignments.
Create summaries, outlines, or mind maps to condense the information.
Organize materials by topic or chapter.
Consider using flashcards or spaced repetition techniques to aid memorization.

Practice Python concepts with an online Python IDE

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Refreshes your basic programming skills and familiarizes you with Python's syntax and environment.

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Create an account on a popular online code editor that supports Python coding, such as repl.it or Colaboratory.
Start a new Python project and write a simple Python script to print basic outputs.
Try manipulating variables, performing operations, and using Python's built-in functions.

Join a Python study group or online community

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Fosters collaboration, knowledge sharing, and provides a support system for your Python learning journey.

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Find a study group or online forum dedicated to Python programming.
Join discussions, ask questions, and share your knowledge with other learners.
Collaborate on projects or code challenges with group members.
Attend virtual or in-person meetups to connect with other Python enthusiasts.

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Practice with Python exercises and challenges

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Sharpens your Python programming skills and problem-solving abilities.

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Solve Python exercises from websites like HackerRank, LeetCode, or CodeChef.
Start with easier exercises and gradually attempt more complex ones.
Review your solutions and learn from your mistakes.
Discuss solutions with peers or mentors for feedback.

Connect with experienced Python developers for mentorship

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Provides personalized guidance, support, and insights from experienced Python developers.

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Identify potential mentors through online platforms like LinkedIn, GitHub, or local tech meetups.
Reach out to potential mentors, briefly introduce yourself, and express your interest in Python development.
Set up regular meetings or video calls to discuss your progress, seek advice, and get feedback on your code.
Follow your mentor's guidance, ask questions, and actively work towards your Python learning goals.

Follow Python project tutorials and build small projects

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Provides practical experience in Python programming and helps you build a portfolio of projects.

Browse courses on Python

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Find Python project tutorials for beginners, such as building a simple calculator or a text-based game.
Follow the tutorial step-by-step, writing code and testing it as you progress.
Experiment with the code and customize it to create variations of the project.
Showcase your projects in an online portfolio or share them with peers for feedback.

Create a Python blog or YouTube channel to share your knowledge

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Enhances your understanding of Python by explaining concepts to others and receiving feedback from your audience.

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Create a blog or YouTube channel dedicated to Python programming.
Post regular articles or videos on topics you are comfortable with, such as Python basics, data structures, or project tutorials.
Explain concepts clearly, provide examples, and encourage interaction with your audience.
Promote your content on social media or online forums to reach a wider audience.

Build a Python project that solves a personal or community problem

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Provides a practical and meaningful application of Python skills, fosters problem-solving, and encourages innovation.

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Identify a problem or challenge that you or your community faces.
Design a Python project that addresses the problem and outlines the steps involved.
Implement the project, break it down into smaller modules, and test it thoroughly.
Deploy the project and make it available to users.
Monitor the project's impact and seek feedback to improve it over time.

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.

See salaries and explore the career path for Quantitative Analyst

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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