Think Computationally with Python

How to Think about Automating Email you own this product

This project is part of the liveProject series Think Computationally with Five Small Python Projects
beginner Python • basics of data structures, branching constructs, and looping structures
skills learned
using the smtplib library • reading documentation for Python • parsing a CSV file to store information in a data structure
Ana Bell
1 week · 4-6 hours per week · BEGINNER

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liveProject This project is part of the liveProject series Think Computationally with Five Small Python Projects liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save $10 (33%)
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Look inside
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.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Ana Bell
Dr. Ana Bell is a lecturer at the Massachusetts Institute of Technology in the Electrical Engineering and Computer Science department. She has co-lectured two introductory computer science courses in Python for the past five years. She was first introduced to Python in graduate school at Princeton University, where she started using it to parse and reformat large files in her research and found it to be an intuitive language to learn and use. Since then, she's used it for work and personal tasks, and most recently started tinkering with various data science libraries.


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:

  • 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


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.
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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.