Python Data Representations
Introduction to Scripting in Python,
This course will continue the introduction to Python programming that started with Python Programming Essentials. We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs. By the end of the course, you will be able to write Python programs that can manipulate data stored in files. This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development environments.
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Rating | 4.6★ based on 92 ratings |
---|---|
Length | 5 weeks |
Effort | This is a four week class with an expected workload of 5-7 hours per week. |
Starts | Jul 3 (39 weeks ago) |
Cost | $49 |
From | Rice University via Coursera |
Instructors | Scott Rixner, Joe Warren |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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What people are saying
final project
The final project on week four really made me think and required a lot of time out of me, but tests a very useful application of coding!
It will be nice if we could check the final project solutions somewhere.
In the final project, I find that some requirements are not clear enough.
Es un buen curso, pero falta abordar sin fin de temas, diccionarios, por ejemplo The final Project was really challenging (for me), but I am really grateful for the help provided in the Forums.
I found the final project to be quite challenging compared to quizzes and examples covered in lecturers and had to heavily rely on the discussion forum.
Great course - Final Project is quite difficult but I learned a lot from it!
I started taking the third course mid-way through this course, and that was a bad idea because while weeks 1 - 3 might be okay, I definitely did not have enough to finish the final project and an additional week the same week.
Felt entirely unprepared for the week 4 final project based on the material covered in the previous weeks.
Based on the volume of posts in the forums for week 4, the professors should be well aware of this (hopefully that means they modify the final project).
I would like to thank instructors and the Coursera Team to provide me the opportunity to learn this course Excellent course, and a challenging final project.
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very good course
Nice experience Very good course.
very good course It was challenging.
It was a very good course to learn about basic data representations in Python and handling files using Python.
Very good course an awesome course with many tasks that let you program and understand many of python language This course was great.
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python programming
My suggestion for future python beginners is that, start with course 1 (Python Programming Essentials) as the mentors will be referring to course 1 frequently.
This is a fun and informative course which builds on the previous Python Programming Essentials.
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for beginners
Great course for beginners.
good for beginners.
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Rating | 4.6★ based on 92 ratings |
---|---|
Length | 5 weeks |
Effort | This is a four week class with an expected workload of 5-7 hours per week. |
Starts | Jul 3 (39 weeks ago) |
Cost | $49 |
From | Rice University via Coursera |
Instructors | Scott Rixner, Joe Warren |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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