包含什麼
10 現場會議
10 上課時間作業
每週 1-2 小時. Students will work on more challenging practice questions that require them to apply everything they learned in Level I & II. These challenges should be expected to take 1- 2 hours per week.等級
Students will receive a certificate of completion at the end of the class. Students must attend at least 8 classes to receive the certificate.我們無法翻譯此文,請刷新頁面並再試一次。
課堂經歷
英語程度 - B2+
美國 7 - 10 年級
Intermediate 等級
Your student will learn how to code with Python, one of the world's most popular coding languages. The goal of this class is for students to move from beginner to intermediate Python developers. We will work on some projects like a Ceaser cipher, an interactive graph for representing real-world data, a music predictor using machine learning, and a real-time weather application. All the students in the last 3 weeks will work on their own Python project and complete a 5-minute presentation to the class. ***Students should already have a very good understanding of variables, functions, conditional statements, and loops before starting this class. Please, see parental guidance for more information*** Week 1 Review Conditional Statements, Functions, Loops Python Error Handling Python Try/ Except Python Try/ Except/ Else Try/Except/ Else/ Finally Ceaser Cipher Project Introduction Ceaser Cipher Background Ceaser Cipher Project Week 2 Finish Ceaser Cipher Porject Introduction to Object-Oriented Programming Introduction to Python Classes Student Enrollment Projectn Mini-Project Organizing Our Code Week 3 Introduction to APIs APIs and Data Sources Creating Graphical User Interfaces with Python Tkinter for Applications Start Real-Time Weather Application Project Week 4 Real-Time Weather Application Project Working with APIs Testing Applications Week 5 Working with Lists List Comprehensions Working with Data Part 2 Introduction to NumPy Introduction to Pandas Library CSV files and Data Structure Week 6 Introduction to Matplotlib Python Pandas Exercises Python Interactive Graphing Project What is Data Science? Introduction to Student Project Week 7 Lambda Functions Python Default Functions *Args and **Kwargs Introduction to Machine learning Planning Code Projects Week 8 Scikit Learn and Python Machine Learning Project - Music Prediction Student Project Presentations Week 9 Web apps with Python Flask Web Apps Week 10 Finish Python Web APP Student Project Presentation Build Fun Games, Applications, and Projects with Python Over the course, students will complete 5 projects with Python. These projects include: Ceaser Cipher NASA Astronomy Picture of the Day Student Enrollment Mini-Project Interactive Data Science Graph Project Machine Learning Exam Grade Prediction Student Project Project Presentation These projects allow students to apply what they have learned with Python while building fun projects! Interactive Groups Every student is strongly encouraged to post questions, sample code, and their projects every step of the way. This gives students the chance to learn from each other and start practicing reading code.
學習目標
Students will continue learning more about Python and start exploring a wide variety of projects. Students will also explore more uses for Python, including working with data, interactive graphical user interfaces, and data science.
教學大綱
10 課程
超過 10 週課 1:
Review Conditional Statements, Functions, Loops
Review Conditional Statements, Functions, Loops
60 分鐘線上直播課
課 2:
Python Error Handling
Python Error Handling
Python Try/ Except
Python Try/ Except/ Else
Try/Except/ Else/ Finally
Ceaser Cipher Project Introduction
Ceaser Cipher Background
Ceaser Cipher Project
60 分鐘線上直播課
課 3:
Finish Ceaser Cipher Porject
Finish Ceaser Cipher Porject
Introduction to Object-Oriented Programming
Introduction to Python Classes
Student Enrollment Projectn Mini-Project
Organizing Our Code
60 分鐘線上直播課
課 4:
Introduction to APIs
Introduction to APIs
APIs and Data Sources
Creating Graphical User Interfaces with Python
Tkinter for Applications
Start Real-Time Weather Application Project
60 分鐘線上直播課
其他詳情
父母的引導和規範
Learners will use Microsoft's Visual Studio Code for this class, which is a free download. Visual Studio Code is available for Windows, Mac, and Linux computers. Students will use the main Python Website (Python.org) as references throughout the class. Open Weather Map will be utilized for our API project using real-time weather data. Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn will be utilized in the latter part of the course for data science and machine learning projects.
供應清單
Learners will use Microsoft's Visual Studio Code for this class, which is a free download. Visual Studio Code is available for Windows, Mac, and Linux computers. Students will use the main Python Website (Python.org) and W3schools as references throughout the class. NASA will be utilized for our API project using real-time astronomy data.
教學語言
英語 (等級: B2+)
教師專業知識和證書
學士學位 由 Mount St. Mary's University
Over 5,000 students from nearly 100 countries across a variety of platforms have started coding in one of my classes. I offer classes covering the foundations of Python and AI. I am the author of the soon-to-be released book All About Python for Kids. Before teaching, I worked as a software developer for nearly 10 years. I've worked for organizations including Apple, Dell, and Best Buy. I believe the best way to learn is by doing and all my classes are based around hands-on projects that progressively build in difficulty. I'm a graduate of Mount St. Mary's University in Emmitsburg, Maryland. I can't wait to meet your learner in the class and get started soon.
評論
現場團體課程
US$33
每週或US$325 用於 10 課程每週1次,共 10 週
60 分鐘
有42 位學習者完成此課程
即時視訊會議
年齡: 11-16
6-14 每班學員人數