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파이썬 프로그래밍 | 초보자 | 20주 SP | 자동화하다

수업
Sidney - KidsSpeakCode
평균 평점:4.8수강 후기 수:(1,186)
이 20개 모듈 과정에서는 Python을 처음부터 놀라운 일을 수행하는 더 복잡한 코드로 작업하는 방법까지 살펴보겠습니다. #빌더
보고계신 지문은 자동 번역 되었습니다

수업 경험

20 lessons//20 Weeks
 Week 1
Lesson 1
Python Basics
This module introduces Python's syntax, data types, and basic operations. You'll learn about variables, basic arithmetic, data types, and working with text.
 Week 2
Lesson 2
Flow Control
Learn about control structures like if-else statements, for and while loops, and conditional expressions. Gain skills in controlling the flow of your programs.
 Week 3
Lesson 3
Functions
This module covers defining and using functions in Python. You'll understand parameters, return values, and the concept of scope for efficient code reuse.
 Week 4
Lesson 4
Lists
Explore Python lists, including creating, modifying, and iterating over them. You'll learn list operations, comprehensions, and common list functions.
 Week 5
Lesson 5
Dictionaries and Structuring Data
Learn about dictionaries and their uses in Python. You'll also cover tuples and sets, focusing on structuring data effectively within your programs.
 Week 6
Lesson 6
Manipulating Strings
Discover how to manipulate strings in Python. Topics include string slicing, formatting, and common string methods for data processing and output.
 Week 7
Lesson 7
Pattern Matching with Regular Expressions
Understand regular expressions for pattern matching in text. This module covers creating and using regular expressions to find and manipulate text patterns.
 Week 8
Lesson 8
Input Validation
Learn how to validate user input for safety and correctness. This module covers common techniques to ensure your programs handle data input securely.
 Week 9
Lesson 9
Reading and Writing Files
Gain skills in reading and writing data to files. You'll work with different file types, understand file paths, and learn about file handling best practices.
 Week 10
Lesson 10
Organizing Files
This module teaches techniques for organizing files and directories in Python. Topics include navigating file systems and performing file operations.
 Week 11
Lesson 11
Debugging Code
Learn strategies for debugging Python code. You'll explore common errors, use debugging tools, and develop problem-solving skills to fix issues in your programs.
 Week 12
Lesson 12
Web Scraping
This module covers web scraping using Python libraries. Learn to extract data from web pages, handle HTTP requests, and work with web content effectively.
 Week 13
Lesson 13
Working with Excel Spreadsheets
Understand how to work with Excel files in Python. Topics include reading and writing Excel data, creating spreadsheets, and manipulating Excel structures.
 Week 14
Lesson 14
Working with Excel Files
Learn to integrate Python with Excel.
 Week 15
Lesson 15
Working with PDF and Word Documents
Gain skills in working with PDF and Word documents in Python. You'll explore reading and creating PDF files, as well as manipulating Word documents.
 Week 16
Lesson 16
Working with CSV Files and JSON Data
This module teaches how to work with CSV and JSON data. Topics include reading, writing, and parsing these file formats to extract and process data.
 Week 17
Lesson 17
Keeping Time, Scheduling Tasks, and Launching Programs
Explore Python's time-related functions, including scheduling tasks and automating program launches. Learn to work with time-based operations and scheduling libraries.
 Week 18
Lesson 18
Sending Email and Text Messages
Learn to automate sending emails and text messages in Python. This module covers SMTP and other protocols, focusing on programmatic communication.
 Week 19
Lesson 19
Manipulating Images
Understand how to manipulate images in Python. This module covers common image processing tasks, including resizing, cropping, and basic image editing.
 Week 20
Lesson 20
Controlling the Keyboard and Mouse with GUI Automation
Learn to automate GUI interactions using Python. This module covers controlling the keyboard and mouse to simulate user input for task automation.
In this semester length course, we are going to cover Python programming from the very beginning and work our way towards more complex and intricate programs. This is a great course for those with programming experience or students that are starting from scratch. Our goal is to introduce various programming methods and techniques as we build examples that have real-world applications. Programming is a superpower for the future, and students will look at many different ways to interact with the world, gather and analyze data, manipulate various elements using programming, and ultimately gain a deep insight into the Python programming language and how to build programs that do something. 

This course is divided into two parts, the first part is composed of 6 modules on the basics of Python programming, which will go over data structures and various types of programs, which will serve as a refresher for those who have python experience, or an introduction for those who are new to programming. No knowledge of programming is required to get started with this course, our goal is to work through the tools we need in the first part of the course so we can experiment with amazing projects in the latter 14 modules. 
I love teaching programming using fun and interesting examples because it helps students go farther than learning hard to contextualize concepts. Understanding what we are doing and why means that students will be able to apply algebraic concepts (like x+y) having understood examples like (red bike + blue bike) in a way that has context and meaning. 
숙제 제공
Each module of the course will involve reading approximately 10 pages, working through the video and code examples provided with the module, and uploading homework for each module. Many of the modules build on each other, so it is important to complete each module before working on the next. Homework should take approximately one to two hours per week, in addition to the one to two hours required to work through each module. This may take longer depending on the complexity of the module, and the code that the student is interested in working on. There will be a homework assignment provided for each module of the course, students can work on their own version of the topics that are being covered using the sample provided code or come up with their own unique idea. The goal is to spend time programming each week and incrementally build their coding skills.
수업 외 주당 1 - 2 시간
제공되는 평가
All submissions to the classroom or the teacher section for weekly submissions will be reviewed and feedback will be provided. Feedback is generally given either as an informal assessment, or with a video, of course, if students run into problems with their code, they are more than welcome to send in any issues, which will be promptly addressed.
제공되는 성적
We will be using the Automate the Boring Stuff with Python, 2nd Edition Practical Programming for Total Beginners book
by Al Sweigart book in the course. November 2019, 592 pp. ISBN-13: 9781593279929

We will be using Repl.it for the majority of the course, some modules may require the student to use Python locally (for example, some elements like opening the web browser can only be done locally), directions and detailed instructions will be provided.
이 수업에서는 아웃스쿨 교실 외에도 다음의 툴을 사용합니다:
Replit.com is a cloud-based platform that allows users to write, run, and share code in various programming languages. It's designed for easy collaboration and quick prototyping, making it a popular tool for both beginners and experienced developers. Automate the Boring Stuff is a website and book by Al Sweigart that provides tutorials and projects on automating common tasks using Python, aimed at beginners and those seeking practical programming skills. Both resources are free to use, and they don't require creating an account.
평균 평점:4.8수강 후기 수:(1,186)
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Welcome! We offer fun and engaging social science and technology classes. You can use technology to do some pretty amazing things, and it's a lot less scary than it seems—our courses range from social science (like sociology and marketing) to... 
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