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Initiation Pratique à Python

Dans ce projet guidé d’initiation à Python, vous découvrirez Python le langage de programmation interprété, multi-paradigme et multiplateformes. Python est extrêmement populaire notamment pour la Data Science, Le Machine Learning, et le Big Data, sans compter le développement Web avec ses frameworks très célèbres comme Django et Flask Au travers des exemples pratiques, vous découvrirez Python, vous expérimenterez les fondamentaux de Python, les types de données et variables, les contrôle de flux, les fonctions, la gestion des exceptions et bien d’autres fonctionnalités de Python

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Teaches Python, which is highly relevant in the data science and machine learning industries

Includes practical examples to enhance learning

Develops fundamental Python skills, including data types, variables, and control flow

Covers exception handling, ensuring learners can manage errors effectively

May require prior knowledge in programming concepts, which could be a barrier for absolute beginners

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Reviews summary

Excellent practical python introduction

This course is a great way to learn the basics of Python. It is well-structured, informative, and engaging. The instructor does a great job of explaining the concepts in a clear and concise way.

This course is well-structured and easy to follow.

"bien"

This course is engaging and keeps you interested.

This course is very informative.

"trop bien"

The instructor does a great job of explaining the concepts in a clear and concise way.

"Excellent cours.La mise à disposition d'une VM avec l'écran scindé en 2 est parfait en terme d'ergonomie, et l'intervenant explore très bien les bases."

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 Initiation Pratique à Python with these activities:

Review Python basics

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Refreshing Python basics strengthens foundation for course content.

Browse courses on Python

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Revisit Python tutorials or documentation.
Go through Python code examples and try to understand their implementation.
Solve simple Python exercises to test understanding.

Follow the Python tutorial on W3Schools

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W3Schools offers a well-structured Python tutorial.

Browse courses on Python

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Go to the W3Schools Python tutorial.
Follow the tutorial from beginning to end.
Complete the exercises in the tutorial.

Read 'Think Python: How to Think Like a Computer Scientist'

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This book provides a comprehensive introduction to Python.

View Think Python on Amazon

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Read the first three chapters of the book.
Complete the exercises in the first three chapters.
Take notes on the key concepts covered in the first three chapters.

Four other activities

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Organize course notes and materials

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Organizing materials enhances retention and comprehension.

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Create a system for organizing notes, assignments, and other course materials.
Review and summarize key concepts from each lecture or reading.
Identify areas where further study or practice is needed.

Complete Python exercises on LeetCode

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LeetCode provides a platform to practice Python skills.

Browse courses on Python

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Sign up for a LeetCode account.
Solve at least 10 Python exercises.
Review the solutions to the exercises to identify areas for improvement.

Write a blog post about Python

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Creating a blog post reinforces understanding by organizing and articulating thoughts.

Browse courses on Python

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Choose a topic related to Python.
Research the topic and gather information.
Write a blog post that explains the topic clearly and concisely.

Build a small Python application

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Building a project allows for practical application of Python skills.

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Decide on the purpose and functionality of the application.
Design the application's architecture and user interface.
Implement the application's functionality using Python.
Test and debug the application.
Deploy the application and make it accessible to users.

Career center

Learners who complete Initiation Pratique à Python will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists work with enormous sets of data to understand trends and predict future outcomes. They use programming languages to sort, clean, and manipulate this data. Python is a data science language that can help you sift through large datasets. This course may help you build a foundation in data science in addition to learning Python.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers build, test, and maintain machine learning models. They use a variety of programming languages for these tasks, including Python. This course may help you understand the basics of Python, which would serve as a foundation for a career in machine learning engineering.

See salaries and explore the career path for Machine Learning Engineer

Web Developer

Web Developers design, develop, and maintain websites. They use a variety of programming languages, including Python. Python is commonly used in web development for tasks such as web application development and server-side scripting. This course may be helpful for learning Python and developing your web development skills.

See salaries and explore the career path for Web Developer

Software Engineer

Software Engineers design, develop, and maintain software systems. The programming languages they use vary depending on the system. Python is used to develop a wide range of software, from web applications to desktop software. This course may be helpful for learning Python and developing your software engineering skills.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect, clean, analyze, and interpret data to solve business problems. They use a variety of programming languages and tools to do this, including Python. This course may be helpful for learning Python and developing your data analysis skills.

See salaries and explore the career path for Data Analyst

Compliance Analyst

Compliance Analysts ensure that organizations comply with laws and regulations. They use a variety of programming languages to do this, including Python. Python is increasingly used in compliance analysis for tasks such as data analysis and reporting. This course may be helpful for learning Python and developing your compliance analysis skills.

See salaries and explore the career path for Compliance Analyst

Fraud Analyst

Fraud Analysts investigate and prevent fraud in a variety of fields, including finance, insurance, and healthcare. They use a variety of programming languages to do this, including Python. Python is increasingly used in fraud analysis for tasks such as data analysis and modeling. This course may be helpful for learning Python and developing your fraud analysis skills.

See salaries and explore the career path for Fraud Analyst

Business Analyst

Business Analysts help businesses understand their data and make better decisions. They use a variety of programming languages and tools to do this, including Python. Python is increasingly used in business analysis for tasks such as data analysis and visualization. This course may be helpful for learning Python and developing your business analysis skills.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use financial data to make investment recommendations and analyze financial trends. They use a variety of programming languages to analyze and manipulate financial data, including Python. Python is increasingly used in financial analysis for tasks such as data analysis and modeling. This course may be helpful for learning Python and developing your financial analysis skills.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts identify, assess, and manage risks in a variety of fields, including finance, insurance, and healthcare. They use a variety of programming languages to do this, including Python. Python is increasingly used in risk analysis for tasks such as data analysis and modeling. This course may be helpful for learning Python and developing your risk analysis skills.

See salaries and explore the career path for Risk Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They use a variety of programming languages to do this, including Python. Python is increasingly used in quantitative analysis for tasks such as data analysis and modeling. This course may be helpful for learning Python and developing your quantitative analysis skills.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty in a variety of fields, including insurance, finance, and healthcare. They use a variety of programming languages to do this, including Python. Python is increasingly used in actuarial science for tasks such as data analysis and modeling. This course may be helpful for learning Python and developing your actuarial skills.

See salaries and explore the career path for Actuary

Security Analyst

Security Analysts protect organizations from cyber threats. They use a variety of programming languages to do this, including Python. Python is increasingly used in security analysis for tasks such as data analysis and intrusion detection. This course may be helpful for learning Python and developing your security analysis skills.

See salaries and explore the career path for Security Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of fields, including business, government, and healthcare. They use a variety of programming languages to do this, including Python. Python is increasingly used in operations research for tasks such as data analysis and optimization. This course may be helpful for learning Python and developing your operations research skills.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians collect, analyze, and interpret data to solve problems in a variety of fields, including science, business, and government. They use a variety of programming languages to do this, including Python. Python is increasingly used in statistics for tasks such as data analysis and modeling. This course may be helpful for learning Python and developing your statistical skills.

See salaries and explore the career path for Statistician

Reading list

We've selected 13 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 Initiation Pratique à Python.

Head First Python

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Provides a comprehensive overview of Python, making it a powerful supplemental book for the project.

Initiation Pratique à Python

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Reviews summary

Excellent practical python introduction

Activities

Career center

Reading list

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