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Python + Data Structures group for beginners
1st September, 2024
Last date to join: 8th September, 2024
Junaid
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.
Hosted By
74 pts
đź‘‹ Hey, there. Lifelong learner + builder.
I'm currently building a gamified platform designed to help learners connect through courses and books. With a strong background in programming and a passion for fostering collaborative communities, I’m always eager to work on innovative projects and push the boundaries of technology.
I'm from Mumbai, India
Hosted By
74 pts
đź‘‹ Hey, there. Lifelong learner + builder.
I'm currently building a gamified platform designed to help learners connect through courses and books. With a strong background in programming and a passion for fostering collaborative communities, I’m always eager to work on innovative projects and push the boundaries of technology.
I'm from Mumbai, India
Python Data Structures
Online Courses 
Coursera
Free to Audit 
18 hours 50 minutes 
Beginner 
Paid Certificate Get notified about new study groups every week!
Python + Data Structures group for beginners
1st September, 2024
Last date to join: 8th September, 2024
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
-
TypeOnline Courses
-
ProviderCoursera
-
PricingFree to Audit
-
Duration18 hours 50 minutes
-
DifficultyBeginner
-
CertificatePaid 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.
Hosted By
74 pts
đź‘‹ Hey, there. Lifelong learner + builder.
I'm currently building a gamified platform designed to help learners connect through courses and books. With a strong background in programming and a passion for fostering collaborative communities, I’m always eager to work on innovative projects and push the boundaries of technology.
I'm from Mumbai, India
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8th September, 2024
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