Learn by Example: Python

Learn by Example: Python, available at $34.99, has an average rating of 3.65, with 29 lectures, based on 36 reviews, and has 755 subscribers.

You will learn about Enough Python programming knowledge to apply on real-world problems including Data Analysis and Machine Learning This course is ideal for individuals who are Anyone who wants to learn Python It is particularly useful for Anyone who wants to learn Python.

Enroll now: Learn by Example: Python

Summary

Title: Learn by Example: Python

Price: $34.99

Average Rating: 3.65

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Enough Python programming knowledge to apply on real-world problems including Data Analysis and Machine Learning

Who Should Attend

Anyone who wants to learn Python

Target Audiences

Anyone who wants to learn Python

This course lays the foundation from which you can begin using Python to solve any problem – whether in Data Analysis, Machine Learning or Web Development. It gives you a fundamental understanding of Python loops, data structures, functions, classes and more to help you solve basic programming tasks so that you can confidently apply those skills to solve real problems.�

The course assumes zero prior experience with Python, though some fundamental knowledge of programming is recommended.�

Course Curriculum

Chapter 1: You, This Course and Us

Lecture 1: You, This Course and Us

Lecture 2: Source Code

Chapter 2: Getting Set Up

Lecture 1: Install Anaconda

Chapter 3: Introducing Python

Lecture 1: Saying Hello World in Python

Lecture 2: The If-Else Statement

Lecture 3: For Loops

Chapter 4: Data Structures

Lecture 1: Lists: An Introduction

Lecture 2: Lists: Manipulating Lists with Slicing

Lecture 3: Dictionaries: Storing Key-Value Pairs

Lecture 4: Dictionaries: The setdefault Method, Dictionary of Dictionaries

Lecture 5: Sets and Tuples

Chapter 5: Define your own Functions, Modules and Classes

Lecture 1: Functions

Lecture 2: Modules: Wrap your Functions into a Module

Lecture 3: Classes: The __init__ Method and Class Variables

Lecture 4: Classes: Enhancing our Class with Decorators and Operator Overloading

Chapter 6: Getting Real – Writing a Web App

Lecture 1: Build a Simple Web App using the Flask Web Framework

Lecture 2: Extending our Web App to use Web Templates

Lecture 3: Integrating our Web App with our Custom Module

Chapter 7: Common Programming Tasks

Lecture 1: Parsing JSON Data

Lecture 2: Files and Exception Handling

Lecture 3: Regular Expressions

Lecture 4: Iterators

Chapter 8: Popular Python Libraries

Lecture 1: Web Scraping with BeautifulSoup

Lecture 2: Pandas: An Introduction to Data Analysis

Lecture 3: Pandas: Transforming JSON Data into a Pandas Data Frame

Chapter 9: Logging

Lecture 1: Log File: Logging Requests on our Web App to a file

Lecture 2: Databases: Setting up MariaDB to Store Log Data

Lecture 3: Databases: Logging Requests on our Web App to MariaDB

Lecture 4: Using the With Keyword to Manage our Database Connection

Instructors

Loony Corn
An ex-Google, Stanford and Flipkart team

Rating Distribution

1 stars: 3 votes
2 stars: 0 votes
3 stars: 3 votes
4 stars: 13 votes
5 stars: 17 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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