Introduction to Programming & Python | Python Tutorial - Day #1
CodeWithHarryγ»2 minutes read
The 100 Days of Code is a Python programming course aimed at beginners, guiding them through byte-sized lessons to advanced topics for job readiness. Python, a dynamically typed language created in 1991, is known for its simplicity, platform independence, and application in various fields like data science and web development.
Insights
- Python, a programming language created by Guido van Russom, is widely recognized for its simplicity, platform independence, open-source nature, and extensive library support.
- The 100 days of code Python course offers a structured path from beginner to job-ready through a combination of theory, practical exercises, quizzes, and challenges, making it accessible and engaging for learners of all levels.
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Recent questions
What is Python?
A programming language created by Guido van Russom.
How can I start learning Python?
Download and install the latest version from python.org.
What is Replit?
A collaborative browser-based IDE for coding.
What are the key features of Python?
Simplicity, platform independence, open-source nature, and extensive library support.
What is the 100 days of code course?
A Python programming course to become job-ready in 100 days.
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Summary
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"Python Programming: 100 Days to Job-Ready"
- 100 days of code is a Python programming course designed to take learners from beginner to job-ready in 100 days.
- The course includes byte-sized lessons starting from the basics and progressing to advanced topics.
- Python is a dynamically typed, object-oriented programming language created by Guido van Russom in 1991.
- The course combines theory with practical exercises, quizzes, and challenges to enhance learning.
- To start learning Python, download and install the latest version from python.org based on your platform.
- Replit, a collaborative browser-based IDE, is recommended for coding as it allows easy sharing and access from any device.
- Python is known for its simplicity, platform independence, open-source nature, and extensive library support.
- Python applications include database work, data science, machine learning, web development, and complex mathematical operations.
