Introduction to Python Programming
Master Python fundamentals with hands-on practice in data structures, functions, and file operations. Perfect for beginners.
Master Python fundamentals with hands-on practice in data structures, functions, and file operations. Perfect for beginners.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Programming with Python and Java Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.5
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Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Write and execute basic Python programs
Work with various Python data structures
Create custom functions and handle file operations
Use Python development tools effectively
Implement loops and conditional statements
Debug and troubleshoot code problems
Skills you'll gain
This course includes:
3.5 Hours PreRecorded video
13 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive Python programming course provides a robust foundation in programming fundamentals. Students learn core concepts including data structures, conditionals, loops, variables, and functions through hands-on coding exercises. The curriculum covers Python tools like Jupyter Notebook, IDLE, and PyCharm, and progresses from basic syntax to advanced topics like file operations and dictionaries. With a focus on practical application, learners develop skills in writing and debugging code while building fully-functional Python programs.
Module 1: Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE
Module 1 · 8 Hours to complete
Module 2: Intro to Lists, Loops, and Functions
Module 2 · 6 Hours to complete
Module 3: More with Lists, Strings, Tuples, Sets, and PyCharm
Module 3 · 6 Hours to complete
Module 4: Dictionaries and Files
Module 4 · 6 Hours to complete
Fee Structure
Instructor
Innovator in Data Science and Analytics at Wharton
Brandon Krakowsky is a Lecturer at the School of Engineering and serves as the Director of Data Science and Research at the Wharton AI & Analytics Initiative. In this pivotal role, he oversees the development of innovative analytics solutions and cultivates partnerships with companies and organizations worldwide. Brandon leads a dedicated team responsible for designing, executing, and managing data-driven research and experiential learning projects, applying cutting-edge analytics methodologies to real-world challenges.
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4.5 course rating
1,128 ratings
Frequently asked questions
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