Five-Project Series
Think Computationally with Five Small Python Projects you own this product
- prerequisites
- basics of Python • basics of pandas • basic data structures and algorithms • recursive functions
- skills learned
- common Python libraries • MIME Multipart messages • simulating probability with random libraries • creating a UI window, canvas, and adding and manipulating objects • brute-force solutions • dealing with missing or bad data • plotting columns in a data frame
In this series of liveProjects, you’ll kick off your Python programming portfolio by creating five separate and fully-functional projects. Each project is focused on a different usage of Python, and designed to test and grow your skills in these valuable areas. These challenges will familiarize you with important Python tools, techniques, and libraries.
These projects are designed for learning purposes and are not complete, production-ready applications or solutions.
liveProject mentor David Moskowitz shares what he likes about the Manning liveProject platform.
here's what's included
Project 1 How to Think About Solving a Maze
In this quick liveProject, you’ll design and implement an algorithm to solve a simple maze, revealing a path to the exit.
Project 2 How to Think about Automating Email
In this quick liveProject, you’ll automate the process of filling out a custom email from a CSV of email addresses and exam scores. You’ll then implement a randomizer to assign a random discussion partner, all using a Python library of your choice.
Project 3 How to Think about Simulating Nature
In this quick liveProject, you’ll write a UI that simulates water drops on a window during rain. You’ll use nested lists, the random library, and tkinter to increase droplet size with certain probability, and resetting sizes when drops become too big.
Project 4 How to Think about Scheduling Tasks
In this quick liveProject, you’ll develop a simple task scheduler app. Your challenges will include coding functionality that will arrange a day’s tasks to either minimize time left over during a day, or to provide the greatest variety of tasks during a day.
Project 5 How to Think about Manipulating Data
In this quick liveProject, you’ll use the pandas library to read a table from a Wikipedia page into a DataFrame, clean and arrange the data into columns, and extract useful information quickly to reveal data insights.
book resources
When you start each of the projects in this series, you'll get full access to the following book for 90 days.
The free project does not include full access to this Manning book. Purchase the full series to unlock this access in the free project, too!
choose your plan
pro
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$24.99
$249.99
only $20.83 per month
- share your subscription with one other person
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free eBook every time you renew
- choose twelve free eBooks per year
- exclusive 50% discount on all purchases
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Think Computationally with Five Small Python Projects eBook for free
Think Computationally with Five Small Python Projects eBook for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free eBook every time you renew
- choose twelve free eBooks per year
- exclusive 50% discount on all purchases
-
![]()
Think Computationally with Five Small Python Projects eBook for free
Prerequisites
These liveProjects are for beginner Python programmers with a basic mastery of the language, and an understanding of common Python libraries. To begin these liveProjects, you will need to be familiar with the following:
TOOLS
- Basics of Python
- Basics of pandas
- Basic data structures and algorithms
- Recursive functions
you will learn
In these liveProjects, you’ll learn important Python skills that will take you from a beginner to an intermediate programmer. These skills are an excellent foundation for data science, app development, and scripting.
- Common Python libraries
- MIMEMultipart messages
- Simulating probability with random libraries
- Creating a UI window, canvas, and adding and manipulating objects
- Brute-force solutions
- Dealing with missing or bad data
- Plotting columns in a data frame
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
