Python For Everybody (audio/py4e)

  • Author: Vários
  • Narrator: Vários
  • Publisher: Podcast
  • Duration: 9:24:33
  • More information

Informações:

Synopsis

These are the audio lectures to supplement the textbook 'Python for Everybody: Exploring Information' and its associated web site www.py4e.com. There is also a video podcast of this material.

Episodes

  • 13.5 Service Oriented Approach (SOA)

    29/09/2016 Duration: 02min

    We talk briefly about how applications can be built over time to depend on services provide other applications.

  • 13.6 Using Application Programming Interfaces

    29/09/2016 Duration: 07min

    We explore using a Google API that can be used to query location data and parse the JSON that is returned.

  • 13.7 Securing API Requests

    29/09/2016 Duration: 10min

    We explore the use of OAuth to communicate sign requests to establish identity when using the Twitter API.

  • 14.1 Object Oriented Definitions and Terminology

    29/09/2016 Duration: 10min

    We look at how Python mentions objects in its documentation as well as talk about why philosophy of object-oriented programming. We explore some OOP terms like class, object, instance, method, and attribute.

  • 14.2 Our First Class and Object

    29/09/2016 Duration: 08min

    We look at how use create a new class in Python and then construct a new object from that class. We also look at some of the Python objects (like strings) that we have been using all along.

  • 14.3 Object Life Cycle

    29/09/2016 Duration: 06min

    We look at how we as the developers of a Python class can interact with the moment of construction and destruction of various objects created using the class.

  • 14.4 Object Inheritance

    29/09/2016 Duration: 07min

    We look at how we can make a new class by inheriting all of the attributes and methods of a parent class and then extend the new class with additional attributes and methods.

  • 15.1 Relational Databases

    29/09/2016 Duration: 15min

    We look at the history of database systems, learn the terminology of database systems, and review some of the common database systems that are in use.

  • 15.2 Single Table SQL

    29/09/2016 Duration: 10min

    We learn about how we can use Structured Query Language (SQL) to insert (create), read, update, and delete data in a single database table.

  • 15.3 Building a Relational Model

    29/09/2016 Duration: 08min

    We look at how we can take the various data elements that will be modeled in an application and distribute them across several tables efficiently. We learn about the basic rules of database design.

  • 15.4 Database Key Types

    29/09/2016 Duration: 04min

    We look at primary keys, logical keys and foreign keys. We look at how foreign keys are represented in the database.

  • 15.5 Representing Relationships in Database Tables

    29/09/2016 Duration: 11min

    We look at how we map a logical database model to a physical database model by adding columns and constraints to model the table-to-table relationships.

  • 15.6 Multi-Table Retrieval using JOIN

    28/09/2016 Duration: 10min

    We look at how to reconstruct complete views of the data when data is properly distributed across multiple tables and connected via foreign keys. We learn the JOIN operation and ON clause in SQL.

  • 15.7 Many-to-Many Relationships

    28/09/2016 Duration: 13min

    We look at how to build a connector table to represent many-to-many relationships such as students and courses in database tables. We also learn about composite primary keys.

  • 16.1 Visualizing Map Data

    28/09/2016 Duration: 06min

    In this assignment we make use of the Google GeoCoding API to look up addresses, store the data in a database and then use Google Maps to visualize the data.

  • 16.2 Building a Web Search Engine

    28/09/2016 Duration: 11min

    We build a web crawler that retrieves web pages and links from those pages an copies the pages into the database. Once we have retrieved our web data we run a simple Page Rank algorithm on the data and visualize the results.

  • 16.3 Processing Mail Data

    28/09/2016 Duration: 06min

    We end where we started, processing email data. Except that this time it is a lot (nearly 1GB) of email data.

page 3 from 3