Begin Python Programming in 7 Days [Video]

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Begin Python Programming in 7 Days [Video]

Rudy Lai

Wednesday, October 31, 2018

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Become a Python programmer in one week. Learn to code in Python from scratch with this hands-on course

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Video Details

ISBN 13 9781788990813

Course Length 3 hours 2 minutes

Getting Started with Programming in Python

The Course Overview

Installing Python and Code Editor

Getting Familiar with Command Line

Writing and Running Your First Python Program

Understanding Basic Syntax

Assignment Day 1

Using Python Variables and Operators

Understanding Python Variables

Using Variables in Code

Understanding Python Operators

Usage of Python Operators

Assignment Day 2

Programming Control Flow and Loops in Python

Introducing Control Statements

Usage of Control Statements

Understand Loops

Use Loops in Your Python Code

Assignment Day 3

Understanding List and Dictionary Data Types

Introducing Python Lists

List Operators, Functions, and Methods

Introducing the Dictionary Data Type

Dictionary Operators, Functions, and Methods

Assignment Day 4

Program Functions in Python

Introducing Functions

Usage of Functions in Your Code

Understanding Scope of Variables

Example Code for a Scope of Variable Demonstration

Assignment Day 5

Working with Python Modules and Packages

Python Modules

Using Third-Party Python Modules

Compiling Python Files

Using Python Packages

Assignment Day 6

Handle Files Programmatically in Python

Reading Text from a File

Writing Text to a File

Handling Exceptions

Assignment Day 7

Video Description

We get you started setting up your environment and the tools you need to start programming in Python. You will be learning about variables and operators and how to make use of them in Python programs. You will learn all about control flow statements and loops in Python and you will be using them in your programs to solve your coding problems.

Then you will learn to use Python's advanced data structures such as lists and dictionaries. You will be able to organize in functions and save time coding by writing code that can be reused. Then, you will learn about Python modules and how to make use of them. On the last day, you will start interacting with files using Python code.
The course will give you a strong entry point into programming in general and programming in Python in particular.

All the code files of this course are available on Github at https://github.com/PacktPublishing/Begin-Python-Programming-in-7-Days-Video-

Style and Approach

In this course, we have taken a unique approach by making it super-friendly and accessible for a complete beginner by defining a daily curriculum with hands-on practice each day. Each day covers specific aspects of programming in Python for 30 minutes, followed by a practical exercise that you can perform as homework by implementing what you learned for approx. an hour. The next day begins with a brief recap of the exercise and then we move on to the next aspect of the course.

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What You Will Learn

Get started with Python from scratch by setting up a code editor, and executing code from the command line
Python variables and operators and how to use them well to simulate a simple app such as a calculator
Execute program control flows and loops in Python to create your own simple mini-games
Implement the List and Dictionary data types to take text as input and produce a word count
Program efficiently in Python by organizing your code in functions to code a game such as rock, paper, and scissors
Work with Python Modules to create your first web-scraping app in Python
Handle files using your Python code to build your own Python-based text editor

Authors

Rudy Lai

Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, Machine Learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to make better sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.

Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feed-back into how our AI generates content.

Prior to founding QuantCopy, Rudy ran HighDimension.IO, a Machine Learning consultancy, where he experienced firsthand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.

In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and Machine Learning. Quantitative trading was also a great platform from which to learn about reinforcement learning in depth, and supervised learning topics in a commercial setting.

Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.

Getting Started with Programming in Python

The Course Overview

Installing Python and Code Editor

Getting Familiar with Command Line

Writing and Running Your First Python Program

Understanding Basic Syntax

Assignment Day 1

Using Python Variables and Operators

Understanding Python Variables

Using Variables in Code

Understanding Python Operators

Usage of Python Operators