Moocable is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Python + Data Structures group for beginners

1st September, 2024
Last date to join: 8th September, 2024

Hey, everyone. I'm a software engg. from India, and I host study groups where we study online courses together. I'll be starting the groups within a few days. We will study Python Data Structures course on Coursera. Format: Each week, members go through the course material. We will conduct the group on Discord. We discuss the course materials, solve the weekly quizzes, and have a real peer-review session of our assignments. The group will last for 4 weeks. Target Audience: No Prerequisites This is a beginner-centric course Non-cs/it folks are encouraged to join!

Proficient English

Description

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Syllabus

  • Chapter Six: Strings
    • In this class, we pick up where we left off in the previous class, starting in Chapter 6 of the textbook and covering Strings and moving into data structures. The second week of this class is dedicated to getting Python installed if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head start.
  • Unit: Installing and Using Python
    • In this module you will set things up so you can write Python programs. We do not require installation of Python for this class. You can write and test Python programs in the browser using the "Python Code Playground" in this lesson. Please read the "Using Python in this Class" material for details.
  • Chapter Seven: Files
    • Up to now, we have been working with data that is read from the user or data in constants. But real programs process much larger amounts of data by reading and writing files on the secondary storage on your computer. In this chapter we start to write our first programs that read, scan, and process real data.
  • Chapter Eight: Lists
    • As we want to solve more complex problems in Python, we need more powerful variables. Up to now we have been using simple variables to store numbers or strings where we have a single value in a variable. Starting with lists we will store many values in a single variable using an indexing scheme to store, organize, and retrieve different values from within a single variable. We call these multi-valued variables "collections" or "data structures".
  • Chapter Nine: Dictionaries
    • The Python dictionary is one of its most powerful data structures. Instead of representing values in a linear list, dictionaries store data as key / value pairs. Using key / value pairs gives us a simple in-memory "database" in a single Python variable.
  • Chapter Ten: Tuples
    • Tuples are our third and final basic Python data structure. Tuples are a simple version of lists. We often use tuples in conjunction with dictionaries to accomplish multi-step tasks like sorting or looping through all of the data in a dictionary.
  • Graduation
    • To celebrate your making it to the halfway point in our Python for Everybody Specialization, we welcome you to attend our online graduation ceremony. It is not very long, and it features a Commencement speaker and very short commencement speech.

Python Data Structures

Start Learning
Online Courses

Coursera

Free to Audit

18 hours 50 minutes

Beginner

Paid Certificate

Python + Data Structures group for beginners

1st September, 2024
Last date to join: 8th September, 2024
Start Learning
Affiliate notice

Hey, everyone. I'm a software engg. from India, and I host study groups where we study online courses together. I'll be starting the groups within a few days. We will study Python Data Structures course on Coursera. Format: Each week, members go through the course material. We will conduct the group on Discord. We discuss the course materials, solve the weekly quizzes, and have a real peer-review session of our assignments. The group will last for 4 weeks. Target Audience: No Prerequisites This is a beginner-centric course Non-cs/it folks are encouraged to join!

Proficient English

  • Type
    Online Courses
  • Provider
    Coursera
  • Pricing
    Free to Audit
  • Duration
    18 hours 50 minutes
  • Difficulty
    Beginner
  • Certificate
    Paid Certificate

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

  • Chapter Six: Strings
    • In this class, we pick up where we left off in the previous class, starting in Chapter 6 of the textbook and covering Strings and moving into data structures. The second week of this class is dedicated to getting Python installed if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head start.
  • Unit: Installing and Using Python
    • In this module you will set things up so you can write Python programs. We do not require installation of Python for this class. You can write and test Python programs in the browser using the "Python Code Playground" in this lesson. Please read the "Using Python in this Class" material for details.
  • Chapter Seven: Files
    • Up to now, we have been working with data that is read from the user or data in constants. But real programs process much larger amounts of data by reading and writing files on the secondary storage on your computer. In this chapter we start to write our first programs that read, scan, and process real data.
  • Chapter Eight: Lists
    • As we want to solve more complex problems in Python, we need more powerful variables. Up to now we have been using simple variables to store numbers or strings where we have a single value in a variable. Starting with lists we will store many values in a single variable using an indexing scheme to store, organize, and retrieve different values from within a single variable. We call these multi-valued variables "collections" or "data structures".
  • Chapter Nine: Dictionaries
    • The Python dictionary is one of its most powerful data structures. Instead of representing values in a linear list, dictionaries store data as key / value pairs. Using key / value pairs gives us a simple in-memory "database" in a single Python variable.
  • Chapter Ten: Tuples
    • Tuples are our third and final basic Python data structure. Tuples are a simple version of lists. We often use tuples in conjunction with dictionaries to accomplish multi-step tasks like sorting or looping through all of the data in a dictionary.
  • Graduation
    • To celebrate your making it to the halfway point in our Python for Everybody Specialization, we welcome you to attend our online graduation ceremony. It is not very long, and it features a Commencement speaker and very short commencement speech.

Learning is better with Cohorts

Active hands-on learning
Build assignments each week

Feedback loop
Submit your assignment, and receive feedback from your peers. Stuck on a problem?

Learn with a cohort of peers
Join a group of like-minded people who want to learn and grow alongside you

Frequently asked questions

Yes. Our study groups (all of them) are free to join

You join the group and study the MOOC together on a schedule. The exact dates, deadlines, are created by the host

This depends on the host of your group. Some groups have weekly video calls for accountability + doubt solving.

Moocable is a community where you can find study partners, mentors, or people to collaborate on projects. It's designed for people who want to upskill, but struggle with self-learning. Users often post about their skills, goals, and what they're looking to learn or work on, and others can respond to form partnerships or groups. You can join our community

8th September, 2024