پکیج پایتون برای همه ، دوره 4 : Using Databases with Python
درباره‌ی این دوره:
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book "Python for Everybody". To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
این شامل 5 زیر است:
To start this class out we cover the basics of Object Oriented Python. We won't be writing our own objects, but since many of the things we use like BeautifulSoup, strings, dictionaries, database connections all use Object Oriented (OO) patterns we should at least understand some of its patterns and terminology.
- درس Welcome to Using Databases with Python
- درس Unicode Characters and Strings
- درس 14.1 - Object Oriented Definitions and Terminology
- درس 14.2 - Our First Class and Object
- درس 14.3 - Object Life Cycle
- درس 14.4 - Object Inheritance
- درس Bonus- Interview - Software Engineering - Bertrand Meyer
- درس Bonus- Office Hours - London
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.
In this section we learn about how data is stored across multiple tables in a database and how rows are linked (i.e., we establish relationships) in the database.
- درس 15.4 - Designing a Data Model
- درس 15.5 - Representing a Data Model in Tables
- درس 15.6 - Inserting Relational Data
- درس 15.7 - Reconstructing Data with JOIN
- درس Worked Example- Tracks.py (Chapter 15)
- درس Bonus- Office Hours Perth, Australia
- درس Bonus Interview- Niklaus Wirth
- درس Bonus- Office Hours Barcelona
In this section we explore how to model situations like students enrolling in courses where each course has many students and each student is enrolled in many courses.
In this section, we put it all together, retrieve and process some data and then use the Google Maps API to visualize our data.
مشارکت کنندگان در این صفحه
تا کنون فردی در بازسازی این صفحه مشارکت نداشته است.
🖊 شما نیز می‌توانید برای مشارکت در ترجمه‌ی این صفحه یا اصلاح متن انگلیسی، به این لینک مراجعه بفرمایید.