Lecture

Python Programming Basics

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

In course

CS-119(h): Information, Computation, Communication

L'objectif de ce cours est d'initier les étudiants à la pensée algorithmique, de les familiariser avec les fondamentaux de l'informatique et des communications et de développer une première compétence en programmation avec le langage Python. ...

Description

This lecture covers Python programming basics, including loops, functions, lists, and basic types in Python. It also explains how to use conditions to execute code based on boolean expressions and the concept of mutable objects like lists. The lecture further delves into the evaluation of the course, emphasizing the importance of feedback and the instructors' dedication to creating an optimal learning environment.

Instructors (3)

Olivier Lévêque

Olivier Lévêque was born in Switzerland in 1971. He received the physics diploma from EPFL in 1995 and completed his PhD in mathematics at EPFL in 2001. Since then, he has been with the Laboratory of Information Theory at EPFL. He spent the academical year 2005-2006 at the Electrical Engineering Department of Stanford University, where he was appointed as lecturer. His research interests include stochastic analysis, random matrices, wireless communications and information theory.

Jean-Philippe Pellet

Teaching & PhD Courses Data science for engineers with Python ENG-209 This course offers a gradual and comprehensive introduction to the field of Data Science through the Python programming language. It guides students from raw data manipulation to modeling and the extraction of meaningful insights from real-world data.

Mirjana Stojilovic

Mirjana Stojilović received the Dipl. Ing. and Ph.D. degrees from the School of Electrical Engineering, University of Belgrade, in 2006 and 2013, respectively. From 2010 to 2013, she was collaborating with the Processor Architecture Laboratory at EPFL, visiting periodically as a Guest Researcher. From 2013 to 2016, she was working at the University of Applied Sciences Western Switzerland as a senior researcher, and at EPFL as a lecturer. She joined Parallel Systems Architecture Lab at EPFL in October 2016. Mirjana's main research interests include electronic design automation, reconfigurable computing, electromagnetic-compatibility and signal-integrity issues, and hardware security. Mirjana Stojilović serves on the program committee of the FPGA, FPL, and FCCM conferences and as a reviewer for IEEE TCAD, TVLSI, TC, TEMC, IEEE Access and ACM TRETS. She received the Best Paper Award at 2016 International Symposium on Electromagnetic Compatibility (EMC Europe 2016), Young Scientist Award at 33rd International Conference on Lightning Protection (ICLP2016), and the Young Author Best Paper Award at the 20th Telecommunication Forum in Belgrade (TELFOR 2012). In 2015, the EPFL School of Computer and Communication Sciences (IC) presented her with the Teaching Award.

Official source

Ontological neighbourhood

Theoretical computer science

Programming language theory: High-level programming languages

Related concepts (30)

Python (programming language)

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.

Ruby (programming language)

Ruby is an interpreted, high-level, general-purpose programming language which supports multiple programming paradigms. It was designed with an emphasis on programming productivity and simplicity. In Ruby, everything is an object, including primitive data types. It was developed in the mid-1990s by Yukihiro "Matz" Matsumoto in Japan. Ruby is dynamically typed and uses garbage collection and just-in-time compilation. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

Function object

In computer programming, a function object is a construct allowing an object to be invoked or called as if it were an ordinary function, usually with the same syntax (a function parameter that can also be a function). In some languages, particularly C++, function objects are often called functors (not related to the functional programming concept). A typical use of a function object is in writing callback functions. A callback in procedural languages, such as C, may be performed by using function pointers.

Object copying

In object-oriented programming, object copying is creating a copy of an existing object, a unit of data in object-oriented programming. The resulting object is called an object copy or simply copy of the original object. Copying is basic but has subtleties and can have significant overhead. There are several ways to copy an object, most commonly by a copy constructor or cloning. Copying is done mostly so the copy can be modified or moved, or the current value preserved.

Evaluation strategy

In a programming language, an evaluation strategy is a set of rules for evaluating expressions. The term is often used to refer to the more specific notion of a parameter-passing strategy that defines the kind of value that is passed to the function for each parameter (the binding strategy) and whether to evaluate the parameters of a function call, and if so in what order (the evaluation order). The notion of reduction strategy is distinct, although some authors conflate the two terms and the definition of each term is not widely agreed upon.

Related lectures (32)

Python Basics: Functions and Lists

Introduces Python basics like types, functions, conditions, loops, and lists, with examples of string manipulation and list operations.

Variables, Objects, Types

Introduces variables, objects, and types in Python, emphasizing the significance of object mutability and its implications when passing objects to functions.

Volume Calculation: Spheres and Loops

Explores volume calculation for spheres, function definition, and loop logic.

Python: Dictionaries and Tuples

Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.

Python Programming: List Comprehensions and Higher Order Functions