This course provides an introduction to programming and the Python language. Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions. This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files. This course may be more robust than some other introductory python courses, as it delves deeper into certain essential programming topics.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Introduction to Programming with Python and Java
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Spezialisierung Introduction to Programming with Python and JavaUniversity of PennsylvaniaÜber diesen Kurs
294.878 kürzliche Aufrufe
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Stufe „Anfänger“
High school or college math.
Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).
Ca. 28 Stunden zum Abschließen
Englisch
Untertitel: Englisch
Was Sie lernen werden
Identify core aspects of programming and features of the Python language
Understand and apply core programming concepts like data structures, conditionals, loops, variables, and functions
Use different tools for writing and running Python code
Design and write fully-functional Python programs using commonly used data structures, custom functions, and reading and writing to files
Kompetenzen, die Sie erwerben
- Python Tools
- Python Syntax And Semantics
- Programming Principles
- Python Programming
- Computer Programming
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Stufe „Anfänger“
High school or college math.
Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).
Ca. 28 Stunden zum Abschließen
Englisch
Untertitel: Englisch
von
University of Pennsylvania
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.
Dieser Kurs gehört zum reinen Onlineabschlusses Master of Computer and Information Technology von University of Pennsylvania. Er bietet Ihnen eine Vorschau auf die Themen, Materialien und Lehrkräfte, damit Sie entscheiden können, ob der komplette Online-Studiengang das Richtige für Sie ist.
Lehrplan - Was Sie in diesem Kurs lernen werden
8 Stunden zum Abschließen
Module 1 : Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE
This first module covers an intro to programming and the Python language.
8 Stunden zum Abschließen
42 Videos (Gesamt 78 min), 10 Lektüren, 5 Quiz
7 Stunden zum Abschließen
Module 2 : Intro to Lists, Loops, and Functions
We’ll start this module with a brief intro to lists, one of Python’s most commonly used data structures. We’ll learn just enough to get us started with loops, which are used to repeat a process or run a block of code multiple times. We’ll get into functions, which are blocks of organized code used to perform a single, related action. We’ll review some of Python’s built-in functions and learn how to design our own user-defined functions to use as building blocks in our own programs. Along the way, we’ll learn best practices for documenting our code for 2 different audiences: The users who are using our code and want to understand it at a high level, and the programmers who are reading it and want to know how it works.
7 Stunden zum Abschließen
31 Videos (Gesamt 56 min), 2 Lektüren, 4 Quiz
6 Stunden zum Abschließen
Module 3 : More with Lists, Strings, Tuples, Sets, and PyCharm
In this module, we’re going to start using PyCharm, another IDE for writing and running Python code. It has enhanced features that go way beyond the limited functionality of IDLE, and it’s also an industry standard. After revisiting lists, including more advanced usage of the commonly used sequence, we’ll take a deep dive into two other very important data structures : sets and tuples. We’ll learn how they can be leveraged to both store and manipulate information. And while we already have some experience working with strings, this module will explore the intricacies and more powerful functionality of strings.
6 Stunden zum Abschließen
16 Videos (Gesamt 25 min), 3 Lektüren, 4 Quiz
7 Stunden zum Abschließen
Module 4 : Dictionaries and Files
There are multiple ways of loading and storing data in Python. Information can be saved in dictionaries, a data structure that is extremely useful for storing multiple attributes (or data points) about a single thing. Data can also be stored in external files and then loaded into Python. This module will allow us to work with dictionaries in a variety of ways and to interact with the local file system by opening, reading from, and writing to, external files. With these added skills, you’ll begin to get a better sense of the dynamic power of Python and how it can be easily integrated with other systems.
7 Stunden zum Abschließen
17 Videos (Gesamt 55 min), 2 Lektüren, 4 Quiz
Bewertungen
- 5 stars67,36 %
- 4 stars18,94 %
- 3 stars5,43 %
- 2 stars2,45 %
- 1 star5,78 %
Top-Bewertungen von INTRODUCTION TO PYTHON PROGRAMMING
von PK29. Jan. 2022
course is very helpful for learning python and assignment questions are really good. Thank you Coursera for providing quality content.
von WJ23. März 2021
Good refresher for anyone looking to get back into Python programming. The exercises are both well written and progressively challenging.
von BJ9. Feb. 2022
The course content is well planned. Th assignments and discussion forums are outstanding. Would like to give 4.5/5 since I think the topics can be bit more explained thoroughly.
von EE6. Dez. 2021
I learned a lot from this course! Thank you Brandon and team. The course has more coverage than the one offered by Michigan U which I took prior to this.
Über den Spezialisierung Introduction to Programming with Python and Java
This Specialization starts out by teaching basic concepts in Python and ramps up to more complex subjects such as object-oriented programming and data structures in Java. By the time learners complete this series of four courses, they will be able to write fully-functional programs in both Python and Java, two of the most well-known and frequently used programming languages in the world today.
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This course was fun. How can I learn more?
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