Dieser Kurs ist Teil der Spezialisierung Spezialisierung Introduction to Programming with Python and Java

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Brandon Krakowsky

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Spezialisierung Introduction to Programming with Python and JavaUniversity of Pennsylvania

Über diesen Kurs

202.837 kürzliche Aufrufe

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.

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Kurs 1 von 4 in

Spezialisierung Introduction to Programming with Python and Java

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

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.

Coursera-Labore

Enthält praktische Lernprojekte.

Hier finden Sie weitere Informationen zu Coursera-Laboren

Kurs 1 von 4 in

Spezialisierung Introduction to Programming with Python and Java

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

Dozent

Dozentenbewertung

4,56/5 (336 Bewertungen)

Brandon Krakowsky

Lecturer

School of Engineering and Applied Science

72.810 Lernende

7 Kurse

von

University of Pennsylvania

Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.

Dieses Kurs ist Teil des reinen Onlineabschlusses Master of Computer and Information Technology von University of Pennsylvania. Wenn Sie in das komplette Programm aufgenommen werden, werden Ihre Kurse auf Ihren Abschluss angerechnet.

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Lehrplan - Was Sie in diesem Kurs lernen werden

Inhaltsbewertung94%(4,912 Bewertungen)

Woche

Woche 1

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.

We’ll start by downloading and installing the necessary tools to begin programming and writing code in Python. After learning how to print to the console, we’ll get an understanding of Python’s basic data types, and how to do simple math. We’ll follow up by creating our first Python script, and learn how to define and assign variables, while controlling the flow of our program using conditionals. We’ll also learn how to get input from the user, including some very basic error checking. Let’s get started!

8 Stunden zum Abschließen

42 Videos (Gesamt 78 min), 10 Lektüren, 5 Quiz

42 Videos

About the Instructor : Brandon Krakowsky 1m

What you should expect from this Course1m

Why begin with Python?21

Module Intro37

What is Programming?38

Client-side vs. server-side programming53

Introduction to core programming concepts: Data structures, Conditionals, Variables, Functions, and Loops1m

What is Python?29

Python is interpreted27

Why Python?36

Downloading & installing Python33

Downloading & Installing Jupyter Notebook35

Using Jupyter Notebook3m

How do I write Python?46

Printing2m

Basic Data Types2m

Arithmetic operators1m

About division1m

Boolean values1m

Comparison operators37

Code Along Exercise : Even/Odd45

Strings2m

Casting3m

How to use Coursera Labs & understand Autograder output9m

Downloading & installing IDLE24

Using the IDLE shell1m

Running a Python script1m

Adding comments to Python scripts1m

Code Along Exercise : Comment the program to greet user1m

Assigning a variable54

Boolean operators1m

Variable substitution2m

Combining variables1m

Code Along Exercise : Cats & dogs1m

Getting user input3m

Code Along Exercise : Calculate total bill6m

The if … elif … else statement2m

Code Along Exercise : Numerical grade to letter grade2m

Multiple if conditionals1m

Checking user input1m

Coding Demonstration : Common Python Errors6m

Coding Demonstration : Creating a function to convert numerical grade to letter grade3m

10 Lektüren

Course Layout & Syllabus15m

Tips to succeed in this course10m

Module 1 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE)30m

Python - Getting Help2m

Quick Intro to Variables5m

Homework 1a : Instructions10m

What is a Python script?3m

Python Errors10m

Reading : Quick Intro to Functions5m

Homework 1b : Instructions10m

3 praktische Übungen

Quiz 1 - Intro to Python & The Python Language10m

Practice Quiz - Variables & data types30m

Quiz 2 - Variables & Conditionals20m

Woche

Woche 2

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

31 Videos

Module Introduction1m

Creating a list29

Updating a list1m

Types of Loops17

Executing code a given number of times1m

Iterating over a list3m

Code Along Exercise : Find minimum value2m

Iterating over strings1m

Iterate over a string1m

Code Along Exercise : Iterate over a name1m

'for' loops using range4m

Repeatedly executing code based on a condition1m

Waiting for user input45

Code Along Exercise : Secret password1m

Exiting a loop using break1m

Exiting a loop using continue1m

Nested loops1m

Code Along Exercise : Multiplication tables1m

Coding Demonstration : Average program4m

Coding Demonstration : Word reversal1m

What is a function?22

Built-in functions46

User-defined functions56

Code Along Exercise : Square49

Code Along Exercise : Greater than1m

Docstrings (Documentation Strings)56

Code Along Exercise : Get factors2m

Code Along Exercise : Unique list2m

Execution order44

The main function49

Coding Demonstration : Vowel/word counter 9m

2 Lektüren

Module 2 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE)30m

Homework 2 : Instructions10m

3 praktische Übungen

Quiz 3 - Intro to Lists & Loops18m

Practice Quiz : Intro to Lists, Loops, and Functions30m

Quiz 4 - Functions10m

Woche

Woche 3

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

16 Videos

Module introduction55

About PyCharm21

Downloading & installing PyCharm8

Running code1m

A review of lists2m

More list operations40

List functions52

Slicing lists6m

Strings vs. lists51

Slicing strings1m

Code Along Exercise : Name Substring1m

Split and join1m

Creating a tuple1m

Code Along Exercise : Max and min function4m

Creating a set1m

Iterating over and updating a set21

3 Lektüren

Module 3 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE)30m

String functions5m

Homework 3 : Instructions10m

3 praktische Übungen

Practice Quiz : Jupyter Notebook, IDLE, & PyCharm30m

Quiz 5 - Lists & Strings10m

Quiz 6 - Tuples & Sets10m

Woche

Woche 4

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

17 Videos

Module Introduction 52

Creating a dictionary 47

Key:value pairs 42

Updating a dictionary 49

Code Along Exercise : Grade/attendance book 9m

Opening a file 54

Basics of file open method modes 1m

Reading a file 40

Newline characters33

Writing to a file17

Closing a file48

Coding Demonstration : Open and read a file3m

Coding Demonstration : Open, read, and append to new file3m

Coding Demonstration : Open, read, and append to same file3m

Coding Demonstration : Open, read, and write to new file2m

Coding Demonstration : File to Dictionary11m

Intro to Homework 413m

2 Lektüren

Module 4 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE)30m

Homework 4 : Instructions10m

3 praktische Übungen

Quiz 7 - Dictionaries14m

Practice Quiz : Python Dictionaries & Files30m

Quiz 8 - File I/O12m

Bewertungen

4.4

244 Bewertungen

5 stars
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4 stars
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3 stars
5,20 %
2 stars
2,10 %
1 star
5,32 %

Top-Bewertungen von INTRODUCTION TO PYTHON PROGRAMMING

von KC17. Sep. 2022

Very good introductory course: the final assignment was sufficiently challenging that I had to visit the discussion forums and review online resources to assist with completion.

von EB6. 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.

von AE20. Dez. 2022

Even though this course is not the first in intro to python. I must admit it added lots of python programming details and techniques to my skills.

von TS24. Sep. 2021

Great quality course. The assignments are challenging, so make sure you've have some exposure to the basics of Python before attempting this course.

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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.

Introduction to Programming with Python and Java is for students and professionals who have minimal or no prior programming exposure. It’s for motivated learners who have experience with rigorous coursework, and are looking to gain a competitive edge in advancing their career. It’s for folks who are thinking about applying to the University of Pennsylvania’s online Master of Computer and Information Technology degree and want to sample some of the lecture videos and content from the first course in the program. We hope this Specialization is for you. Topics in this Specialization include language syntax, style, programming techniques, and coding conventions. Learn about best practices and good code design, code testing and test-driven development, code debugging, code and program documentation, and computational thinking.

Häufig gestellte Fragen

Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Der Zugang zu Vorlesungen und Aufgaben hängt von der Art Ihrer Anmeldung ab. Wenn Sie einen Kurs im Gastmodus belegen, können Sie die meisten Kursmaterialien kostenlos einsehen. Um auf benotete Aufgaben zuzugreifen und ein Zertifikat zu erhalten, müssen Sie während oder nach Ihrer Gastphase das Zertifikat erwerben. Wenn Sie die Gastoption nicht sehen:
Der Kurs bietet möglicherweise keine Gastoption an. Sie können stattdessen eine kostenlose Testversion ausprobieren oder finanzielle Unterstützung beantragen.
Der Kurs kann stattdessen "Vollständiger Kurs ohne Zertifikat" anbieten. Mit dieser Option können Sie alle Kursmaterialien einsehen, die erforderlichen Aufgaben einreichen und eine Endnote erhalten. Dies bedeutet auch, dass Sie kein Zertifikat erwerben können.
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
Ist finanzielle Unterstützung möglich?
Ja. Für ausgewählte Lernprogramme können Sie finanzielle Unterstützung oder ein Stipendium beantragen, wenn Sie sich die Anmeldegebühr nicht leisten können. Wenn für das von Ihnen gewählte Lernprogramm finanzielle Unterstützung oder ein Stipendium verfügbar ist, wird auf der Beschreibungsseite ein Link zu einem solchen Antrag angezeigt.
Do I need to know how to program or have studied computer science in order to take this course?
No, definitely not! This Specialization is intended for anyone who has an interest in problem solving and wants to learn introductory Python or Java. No prior computer science or programming experience is required.
How much math do I need to know to take this course?
The only math that learners will need for this Specialization is arithmetic and basic concepts in logic.
This course was fun. How can I learn more?
This course is the first in the Introduction to Programming with Python and Java Specialization. If you enjoyed it, we recommend Courses 2, 3 and 4 in the series!
If you would like to learn the fundamentals of computer science beyond the basics of programming, consider applying to the Master of Computer and Information and Technology (MCIT) at the University of Pennsylvania, an Ivy League computer science master’s program for people without a computer science background. For an on-campus experience, explore here. If you prefer an online setting, apply to MCIT Online. In fact, the lectures in this series are also used in the online degree program! The Specialization certificate will be viewed favorably by the admissions committee, so be sure to mention it when you apply.

Haben Sie weitere Fragen? Besuchen Sie das Learner Help Center.

Introduction to Python Programming

Über diesen Kurs

Was Sie lernen werden

Kompetenzen, die Sie erwerben

Dozent

Brandon Krakowsky

von

University of Pennsylvania

Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.

Lehrplan - Was Sie in diesem Kurs lernen werden

Module 1 : Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE

Module 2 : Intro to Lists, Loops, and Functions

Module 3 : More with Lists, Strings, Tuples, Sets, and PyCharm

Module 4 : Dictionaries and Files

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Introduction to Python Programming

Über diesen Kurs

Was Sie lernen werden

Kompetenzen, die Sie erwerben

Dozent

Brandon Krakowsky

von

University of Pennsylvania

Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.

Lehrplan - Was Sie in diesem Kurs lernen werden

Module 1 : Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE

Module 2 : Intro to Lists, Loops, and Functions

Module 3 : More with Lists, Strings, Tuples, Sets, and PyCharm

Module 4 : Dictionaries and Files

Bewertungen

Top-Bewertungen von INTRODUCTION TO PYTHON PROGRAMMING

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