Start your Python journey with this course, where you’ll gain a solid foundation in this powerful language. Learn how to work with variables and data types to store and process information, master operations to perform calculations and make comparisons, and unlock the power of strings for text manipulation. Through hands-on case studies, like creating a checkout system, splitting tips, and calculating compound interest, you’ll apply your skills to solve real-life problems. This beginner-friendly course is perfect for anyone looking to build practical coding skills and confidence in Python.
Une nouvelle année, de bonnes résolutions et des économies gigantesques : profitez d'un an d'accès illimité aux formations de Coursera Plus, pour $199. Économiser maintenant.
BiteSize Python for Absolute Beginners: Essentials
Ce cours fait partie de Spécialisation BiteSize Python for Absolute Beginners
Instructeur : Di Wu
Inclus avec
Ce que vous apprendrez
Use Python programming fundamentals, including variables, data types, and basic input/output functions
Perform arithmetic, relational, and logical operations, and manipulate strings
Analyze and create Python programs to solve real-world problems
Compétences que vous acquerrez
- Catégorie : Jupyter Notebook
- Catégorie : Python (Programming Language)
- Catégorie : Python Data Type
- Catégorie : Python Operations
Détails à connaître
Ajouter à votre profil LinkedIn
décembre 2024
6 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Élaborez votre expertise du sujet
- Apprenez de nouveaux concepts auprès d'experts du secteur
- Acquérez une compréhension de base d'un sujet ou d'un outil
- Développez des compétences professionnelles avec des projets pratiques
- Obtenez un certificat professionnel partageable
Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
Il y a 6 modules dans ce cours
This module introduces the basics of Python, highlighting why it is a popular programming language and how to start learning it. It covers the differences between script and interactive Python, explains why iPython is preferred, and introduces Jupyter Notebooks as a powerful tool for coding. Additionally, it explores the distinctions between local and cloud-based coding environments, including the specific setup used in Coursera labs.
Inclus
11 lectures1 devoir
This module explores the basics of input and output in Python. Starting with the classic "Hello, World!" example using the print() function, it explains the differences between single, double, and triple quotation marks in Python. The module also covers how to print multiple values simultaneously and introduces the input() function to receive user inputs. Learners will see how to combine input() and print() to create simple interactive programs.
Inclus
1 lecture1 devoir6 laboratoires non notés
This module introduces variables in Python, including how to define them and the rules for naming them correctly according to syntax and conventions. It covers the fundamental data types—integers (int), floating-point numbers (float), and strings (str)—and explains how to convert between these types using Python’s built-in conversion functions.
Inclus
5 lectures2 devoirs2 laboratoires non notés
This module focuses on the different types of operations in Python, including assignment, arithmetic, relational, and logical operations. It explains how to use these operations to manipulate data and make comparisons within Python programs, providing a foundational understanding of how data is processed and evaluated.
Inclus
1 lecture1 devoir4 laboratoires non notés
This module delves into the str data type in Python, covering everything from the basics of what a string is to how to create, access, and manipulate strings. It includes techniques for slicing, concatenating, and formatting strings, as well as an overview of common string methods that simplify text processing tasks.
Inclus
2 lectures1 devoir6 laboratoires non notés
This module applies essential Python concepts through practical case studies, demonstrating how to solve real-life problems using the skills learned in previous modules. The case studies include a checkout system for calculating total costs, a tip-splitting application to fairly divide tips among diners, and a compound interest calculator for financial planning.
Inclus
1 lecture3 laboratoires non notés
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Data Analysis
University of Colorado Boulder
University of California, Davis
Coursera Project Network
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à 10,000+ cours de niveau international, projets pratiques et programmes de certification prêts à l'emploi - tous inclus dans votre abonnement.
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.