This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook "Fundamentals of Python Programming," which is the accompanying text (optional and free) for this course.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Python 3 Programming
von
Spezialisierung Python 3 ProgrammingUniversity of MichiganÜber diesen Kurs
2,026,944 kürzliche Aufrufe
Karriereergebnisse der Lernenden
44%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
46%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
28%
erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 5 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 36 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Vietnamesisch, Koreanisch
Karriereergebnisse der Lernenden
44%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
46%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
28%
erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 5 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 36 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Vietnamesisch, Koreanisch
von
University of Michigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Lehrplan - Was Sie in diesem Kurs lernen werden
12 Stunden zum Abschließen
General Introduction
In week one you will be introduced to programming in python through lectures and the Runestone textbook - an interactive online textbook built for this course. By the end of the module, you will have run your first python program, and learned how to draw images by writing a program.
12 Stunden zum Abschließen
27 Videos (Gesamt 172 min), 31 Lektüren, 6 Quiz
27 Videos
How to Use the Interactive Textbook14m
Getting Started7m
Values and Data Types7m
Operators and Operands7m
Function Calls10m
Data Types5m
Type Conversion Functions5m
Variables11m
Statements and Expressions8m
More About Statements and Expressions6m
Updating Variables7m
Hard-Coding3m
Input6m
Introduction - Objects and Turtle Graphics1m
Our First Turtle Program6m
Instances: A Herd of Turtles7m
Repetition with a For Loop5m
More Turtle Methods1m
Importing Modules9m
Conclusion - Turtle Graphics1m
Introduction - Debugging1m
Syntax, Runtime, and Semantic Errors6m
Know Your Error Messages3m
Incremental Programming6m
Common Errors5m
Conclusion - Debugging1m
31 Lektüren
Syllabus10m
Help Us Learn More About You!10m
Values and Data Types10m
Operators and Operands10m
Order of Operations10m
Function Calls10m
Data Types10m
Type Conversion Functions10m
Variables10m
Variable Names and Keywords10m
Choosing the Right Variable Name10m
Reassignment10m
Statements and Expressions10m
Updating Variables10m
Hard-Coding10m
Input10m
Hello Little Turtles!10m
Our First Turtle Program10m
Instances: A Herd of Turtles10m
Object Oriented Concepts10m
Repetition with a For Loop10m
A Few More Turtle Methods and Observations10m
Summary of Turtle Methods10m
Importing Modules10m
Syntax Errors10m
Runtime Errors10m
Semantic Errors10m
Know Your Error Messages10m
Incremental Programming10m
Common Errors10m
Practice Assignment - Drawing with Turtle10m
1 praktische Übung
Optional - What Did You Use to Practice This Week?4m
8 Stunden zum Abschließen
Sequences and Iteration
In week two you will use the lectures and the Runestone textbook to understand the basics of a few python data types - lists, strings, tuples - as well as a control structure - for loops. By the end of this week, you will be able to write more complex programs that create drawings by incorporating for loops. Finally, we will present the basics of an accumulation pattern to you, which will be expanded on in each week for the rest of the course.
8 Stunden zum Abschließen
15 Videos (Gesamt 88 min), 23 Lektüren, 4 Quiz
15 Videos
Strings7m
Lists2m
Tuples3m
The Index Operator7m
The Slice Operator7m
Concatenation and Repetition6m
Count and Index10m
Split and Join6m
The For Loop12m
The Accumulator Pattern4m
The Range Function5m
Naming Your Variables in For Loops3m
Printing Intermediate Results4m
Keeping Track of Your Iterator Variable and Your Iterable4m
23 Lektüren
Introduction: Sequences10m
Strings10m
Lists10m
Tuples10m
Index Operator: Working with the Characters of a String and Accessing Elements in a List10m
Disambiguating []: Creation vs. Indexing10m
Length10m
The Slice Operator10m
Concatenation and Repetition10m
Count and Index10m
Splitting and Joining Strings10m
Introduction: Iteration10m
The for Loop10m
Flow of Execution of the for Loop10m
Strings and for Loops10m
Lists and for Loops10m
The Accumulator Pattern and the Range Function10m
(Optional) Traversal and the for Loop: By Index10m
(Optional) Nested Iteration: Image Processing10m
(Optional) The Gory Details: Iterables10m
Naming Variables in For Loops10m
Printing Intermediate Results10m
Keeping Track of Your Iterator Variable and Your Iterable10m
1 praktische Übung
Optional - What Did You Use to Practice This Week?4m
5 Stunden zum Abschließen
Booleans and Conditionals
In week three you will learn a new python data type - the boolean - as well as another control structure - conditional execution. Through the use of video lectures and the Runestone textbook, you will learn what Binary, Unary, Nested, and Chained Conditionals are, as well as how to incorporate conditionals within an accumulation pattern.
5 Stunden zum Abschließen
7 Videos (Gesamt 61 min), 12 Lektüren, 3 Quiz
7 Videos
Logical Operators10m
The in and not in Operators3m
Precedence of Operators2m
Conditional Execution8m
Unary Selection, Nested Conditionals, and Chained Conditionals16m
The Accumulator Pattern with Conditionals and Accumulating a Maximum Value10m
12 Lektüren
Intro: What We Can Do with Turtles and Conditionals10m
Boolean Values and Boolean Expressions10m
Logical Operators10m
The in and not in Operators10m
Precedence of Operators10m
Conditional Execution: Binary Selection10m
Omitting the else Clause: Unary Selection10m
Nested Conditionals10m
Chained Conditionals10m
Make a Flow Chart before You Write Your Code10m
The Accumulator Pattern with Conditionals10m
Accumulating a Maximum Value10m
1 praktische Übung
Optional - What Did You Use to Practice This Week?4m
10 Stunden zum Abschließen
Sequence Mutation and Accumulation Patterns
In week four we will present deeper knowledge on using lists, strings, and python objects in general. We will also cover how to use the accumulation pattern with lists and with strings. The final assignment will test your knowledge and skills through application, much like previous assessments and assignments did, though with a more difficult set of tasks now that you have learned the basics.
10 Stunden zum Abschließen
22 Videos (Gesamt 92 min), 15 Lektüren, 6 Quiz
22 Videos
Mutability12m
List Element Deletion1m
Objects and References4m
Aliasing3m
Cloning Lists2m
Conclusion - Sequence Mutation1m
Introduction - Methods on Lists and Strings1m
Methods on Lists9m
Append vs. Concatenate7m
Non-Mutating Methods on Strings7m
String Format Method8m
Conclusion - Methods on Lists and Strings1m
Introduction - Accumulating Lists and Strings48
The Accumulator Pattern with Lists4m
The Accumulator Pattern with Strings5m
Conclusion - Accumulating Lists and Strings1m
Introduction - Way of the Programmer47
Making Reference Diagrams3m
Accumulator Pattern Strategies8m
Conclusion - Way of the Programmer54
Introduction - Final Course Assignment4m
15 Lektüren
Introduction: Transforming Sequences10m
Mutability10m
List Element Deletion10m
Objects and References10m
Aliasing10m
Cloning Lists10m
Methods on Lists10m
Append vs. Concatenate10m
Non-Mutating Methods on Strings10m
String Format Method10m
The Accumulator Pattern with Lists10m
The Accumulator Pattern with Strings10m
Accumulator Pattern Strategies10m
Don't Mutate A List That You Are Iterating Through10m
Course Feedback10m
Bewertungen
Top-Bewertungen von PYTHON BASICS
von NR17. Okt. 2019
It's a must join course for the people who want to deep dive into the world of Python. I really loving this course very much. I wanna explore more hence opting for other parts of this specialization.
von RG11. Apr. 2020
This course is very good for beginners. The content and flow of the course is amazing. online practice tool to run our codes online without installing any software makes is even more user friendly.
von KH21. Juni 2020
Great course which does not allow you to not learn python !! Highly recommended for anyone who wants to understand and learn useful programming, the interactions are well structured and well fitted
von PY30. Mai 2020
This course is very good for beginners. The content and flow of the course is amazing. online practice tool to run our codes online without installing any software makes is even more user friendly.
Über den Spezialisierung Python 3 Programming
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.
By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.
This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.
But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
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.
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.
Wie erfolgen Rückerstattungen?
Wenn Sie ein Abonnement abgeschlossen haben, erhalten Sie eine 7-tägige, kostenlose Testversion, die Sie gebührenfrei wieder kündigen können. Danach gewähren wir keine Rückerstattungen mehr, aber Sie können Ihr Abonnement jederzeit kündigen. Lesen Sie unsere vollständige Rückerstattungsrichtlinie.
Ist finanzielle Unterstützung möglich?
Ja, Coursera bietet für Kursteilnehmer, die sich die Kursgebühr nicht leisten können, finanzielle Unterstützung an. Bewerben Sie sich dafür, indem Sie auf den Link für finanzielle Unterstützung links unter der Schaltfläche „Anmelden“ klicken. Sie werden zum Ausfüllen eines Antrags aufgefordert und werden bei Genehmigung benachrichtigt. Diesen Schritt müssen Sie für jeden Kurs der Spezialisierung ausführen, auch für das Abschlussprojekt. Mehr erfahren
Erhalte ich akademische Leistungspunkte für den Abschluss des Kurses?
Für diesen Kurs gibt es keine akademischen Leistungspunkte, doch Hochschulen können nach eigenem Ermessen Leistungspunkte für Kurszertifikate vergeben. Wenden Sie sich an Ihre Einrichtung, um mehr zu erfahren. Online-Abschlüsse und Mastertrack™-Zertifikate auf Coursera bieten die Möglichkeit, akademische Leistungspunkte zu erwerben.
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