This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you will understand the benefits of programming in IT roles; understand basic Python syntax; explore different code editors and developer environments; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem.
We'll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.
In this module we’ll introduce you to the Coursera platform and the course format. Then, we’ll dive into the basics of programming languages and syntax, as well as automation using scripting. We’ll also introduce you to the Python programming language and cover some basic functions and keywords of the language, along with some arithmetic operations. Lastly, we'll go over some code editors and IDEs that you can use to write Python code.
涵盖的内容
20个视频17篇阅读材料5个作业1个插件
显示有关单元内容的信息
20个视频•总计60分钟
Specialization Introduction•6分钟
Course Introduction•5分钟
Get started with your Google IT Automation with Python Certificate•2分钟
The Beginning of Your Programming Journey•2分钟
What is programming?•3分钟
What is automation?•3分钟
Getting Computers to Work for You•3分钟
What is Python?•3分钟
Why is Python relevant to IT?•4分钟
Other Languages•3分钟
Hello, World!•3分钟
Getting Information from the User•2分钟
Python Can Be Your Calculator•3分钟
Code editors and IDEs overview•2分钟
Use the command-line•3分钟
Use JupyterLab and Jupyter Notebooks•3分钟
Use Colab•2分钟
Use VS Code•5分钟
First Steps Wrap Up•1分钟
Meet Marga, the Curriculum Developer•2分钟
17篇阅读材料•总计66分钟
Welcome to the program•4分钟
Uses for Automation•4分钟
Study Guide: Introduction to Programming •4分钟
Python Resources•4分钟
A Note on Syntax and Code Blocks•2分钟
Study Guide: Introduction to Python•4分钟
Review: Hello, World!•4分钟
Review: Getting information from the user•4分钟
Review: Python can be your calculator•4分钟
Study Guide: First Programming Concepts•4分钟
Review: Use the command-line•4分钟
Review: Use JupyterLab and Jupyter Notebooks•4分钟
Review: Use Colab•4分钟
Review: Use VS Code•4分钟
More on IDEs and code editors•4分钟
Glossary terms from course 1, module 1•4分钟
Study Guide: Module 1 Graded Quiz•4分钟
5个作业•总计85分钟
Module 1 challenge: Hello Python!•50分钟
Reflection: Your Python automation journey•5分钟
Test your knowledge: Introduction to programming•10分钟
Test your knowledge: Introduction to Python•10分钟
Test your knowledge: Hello World•10分钟
1个插件•总计15分钟
Google Cert Participant Entry Survey•15分钟
Basic Python Syntax
第 2 单元•小时 后完成
单元详情
In this module you’ll learn about different data types in Python, how to identify them, and how to convert between them. You’ll also learn how to use variables to assign data and to reference variables. You’ll deep dive into functions: how to define them, pass them parameters, and have them return information. You’ll explore the concepts of code reuse, code style, and refactoring complex code, along with effectively using code comments. Finally, you’ll learn about comparing data using equality and logical operators, and leveraging these to build complex branching scripts using if statements.
涵盖的内容
13个视频24篇阅读材料4个作业2个插件
显示有关单元内容的信息
13个视频•总计40分钟
Basic Python Syntax introduction•2分钟
Data Types•4分钟
Expressions, numbers, and type conversions•2分钟
Defining Functions•4分钟
Returning Values•4分钟
The principles of code reuse•2分钟
Code style•4分钟
Comparing things•4分钟
Branching with if Statements•3分钟
else Statements•4分钟
elif Statements•3分钟
In Marga's Words: Why I Like Python•2分钟
Basic Syntax Wrap Up•1分钟
24篇阅读材料•总计102分钟
Explore Python syntax•4分钟
Review: Data types•4分钟
Annotating Variables by Type•4分钟
Review: Expressions, numbers, and type conversions•4分钟
Test your knowledge: Expressions and variables•10分钟
Test your knowledge: Functions•10分钟
Test your knowledge: Conditionals•10分钟
2个插件•总计30分钟
Categorize: Naming variables•15分钟
Explore: If, elif, and else statements•15分钟
Loops
第 3 单元•小时 后完成
单元详情
In this module you'll explore the intricacies of loops in Python! You'll learn how to use while loops to continuously execute code, as well as how to identify infinite loop errors and how to fix them. You'll also learn to use for loops to iterate over data, and how to use the range() function with for loops. You'll also explore common errors when using for loops and how to fix them.
涵盖的内容
13个视频20篇阅读材料4个作业1个插件
显示有关单元内容的信息
13个视频•总计45分钟
Introduction to Loops•2分钟
What is a while loop?•3分钟
More while loop examples•3分钟
Why Initializing Variables Matters•3分钟
Infinite Loops and How to Break Them•4分钟
What is a for loop?•5分钟
More for loop examples•3分钟
Nested for Loops•6分钟
Common Errors in for Loops•4分钟
What is recursion? (Optional)•4分钟
Recursion in Action in the IT Context•3分钟
Loops Wrap Up•1分钟
In Marga's Words: How I Got Into Programming•3分钟
20篇阅读材料•总计80分钟
Review: What is a while loop?•4分钟
Anatomy of a While Loop•4分钟
Review: More while loop examples•4分钟
Review: Why initializing variables matters•4分钟
Review: Infinite loops and how to break them•4分钟
Study guide: while loops•4分钟
Review: What is a for loop?•4分钟
Review: More for loops examples•4分钟
A Closer Look at the Range() Function•4分钟
Review: Nested for loops•4分钟
Strings and for loops•4分钟
Looping over a String•4分钟
Slice and Join Strings•4分钟
Review: Common errors in for loops•4分钟
Study Guide: for Loops•4分钟
Review: What is recursion?•4分钟
Review: Recursion in Action in the IT context•4分钟
Additional Recursion Sources•4分钟
Glossary terms from course 1, module 3•4分钟
Study Guide: Module 3 Graded Quiz•4分钟
4个作业•总计100分钟
Module 3 challenge: Loops•50分钟
Test your knowledge: While loops•30分钟
Test your knowledge: For loops•10分钟
Test your knowledge: Recursion•10分钟
1个插件•总计15分钟
Identify: Select the correct iterative statement•15分钟
Strings, Lists and Dictionaries
第 4 单元•小时 后完成
单元详情
In this module you'll dive into more advanced ways to manipulate strings using indexing, slicing, and advanced formatting. You'll also explore the more advanced data types: lists, tuples, and dictionaries. You'll learn to store, reference, and manipulate data in these structures, as well as combine them to store complex data structures.
涵盖的内容
19个视频34篇阅读材料4个作业2个插件
显示有关单元内容的信息
19个视频•总计75分钟
Basic Structures Introduction•2分钟
What is a string?•3分钟
The Parts of a String•4分钟
Creating New Strings•6分钟
More String Methods•5分钟
Formatting Strings•5分钟
What is a list?•4分钟
Modifying the Contents of a List•5分钟
Lists and Tuples•4分钟
Iterating over Lists and Tuples•8分钟
List Comprehensions•4分钟
List comprehension vs for loops•4分钟
What is a dictionary?•6分钟
Iterating over the Contents of a Dictionary•5分钟
Dictionaries vs. Lists•4分钟
OOP Introduction (Optional)•1分钟
Instance Methods (Optional)•5分钟
Basic Structures Wrap Up•1分钟
In Marga's Words: My Most Challenging Script•1分钟
34篇阅读材料•总计138分钟
Review: What is a string?•4分钟
Review: The parts of a string•4分钟
String Indexing and Slicing•4分钟
Review: Creating new strings•4分钟
Basic String Methods•4分钟
Review: More string methods•4分钟
Advanced String Methods•4分钟
Review: Formatting strings•4分钟
String Formatting•4分钟
String Reference Guide•4分钟
Formatting strings reference guide•4分钟
Study Guide: Strings•4分钟
Review: What is a list?•4分钟
Lists Defined•4分钟
Review: Modifying the contents of a list•4分钟
Review: Lists and tuples•4分钟
Tuples•4分钟
Review: Iterating over lists and tuples•4分钟
Iterating Over Lists Using Enumerate•4分钟
Review: List comprehensions•4分钟
List Comprehension Examples•4分钟
Study Guide: List Operations and Methods•8分钟
Review: What is a dictionary?•4分钟
Dictionaries Defined•4分钟
Review: Iterating over the contents of a dictionary•4分钟
Use while loops and if else statements for dictionaries•4分钟
Study Guide: Dictionary Methods •4分钟
What Is a Method?•4分钟
Constructors and Other Special Methods (Optional)•4分钟
Special Methods•4分钟
Methods as special operators•4分钟
Study guide: Classes and methods (optional)•4分钟
Glossary terms from course 1, module 4•2分钟
Study Guide: Module 4 Graded Quiz•4分钟
4个作业•总计100分钟
Module 4 challenge: Strings, Lists, and Dictionaries•50分钟
Test your knowledge: Strings•10分钟
Test your knowledge: Lists•30分钟
Test your knowledge: Dictionaries•10分钟
2个插件•总计30分钟
Practice: Work with index values•15分钟
Connect: Types of iterables•15分钟
Final Project
第 5 单元•小时 后完成
单元详情
In this module, you'll learn how to apply a problem-solving framework to tackle a challenging project. You'll learn how to formulate a problem statement to understand a challenge, conduct some research to see what options are available, then begin planning how you to solve a problem.
Grow with Google is an initiative that draws on Google's decades-long history of building products, platforms, and services that help people and businesses grow. We aim to help everyone – those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.
确定
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情,我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程,Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好:它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.8
40,435 条评论
5 stars
82.49%
4 stars
14.43%
3 stars
1.76%
2 stars
0.47%
1 star
0.82%
显示 3/40435 个
H
HT
5·
已于 Feb 13, 2022审阅
This Course Was Really Helpful In Developing My Coding Skills InPython.The Exercises Helped Me To Test My Knowledge .Overall It Was AReally Good For People Like Me Who Are Just Beginning With Python.
A
AL
5·
已于 Nov 24, 2020审阅
Very good crash course. Considering myself not a Python novice, maybe intermediate level, I even learned something new. Don't expect to be a Python expert after this, though, as it is a crash course.
A
AH
5·
已于 Nov 9, 2020审阅
I really loved the course. Tutor is great, she is very good at teaching. I was a beginner in Python programming, now I am familiar with more python. Thank you Coursera for providing me financial aid.
常见问题
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, 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.