Python - Intro to Computer Science - Harvards CS50 (2018)
This week's CS50 course focused on Python syntax and programming fundamentals. Students learned about interpreting and compiling code, and practiced writing programs such as resize.py, hello.py, string0.py, string1.py, ints.py, floats.dpy, overflow.py, conditions.py, and answer.py. They also discussed the importance of debugging and testing code. By the end of the week, students had a better understanding of Python and its applications. ▼
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Course Feature
Cost:
Free
Provider:
freeCodeCamp
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from freeCodeCamp platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
This online course, Python - Intro to Computer Science - Harvards CS50 (2018), provides an introduction to the Python programming language. It covers topics such as Python Syntax, Interpreting vs. Compiling, hello.py, string0.py, stringpy, ints.py, floats.dpy, overflow.py, conditions.py, answer.py, cough0.py, coughpy, coughpy, coughpy, positive.py, capitalizepy, strlen.py, argv0.py, argvpy, swap.py, list.py, struct0.py, mario0.py, mariopy, mariopy, mariopy, resize.py, continued, and dictionary.py.
By taking this course, users will gain a basic understanding of the Python programming language and its syntax. They will learn how to interpret and compile code, as well as how to write basic programs in Python. They will also learn how to use data structures such as lists and dictionaries, and how to create basic programs such as Mario games.
Possible development paths for learners include software engineering, web development, data science, and artificial intelligence. Learners can also use their knowledge of Python to pursue a career in game development, robotics, or machine learning.
Learning suggestions for learners include taking courses in other programming languages such as Java or C++, as well as courses in data structures and algorithms. Learners should also practice their coding skills by completing coding challenges and projects. Additionally, they should read up on the latest trends in the tech industry and stay up to date with the latest developments in the field.
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