Python Best Parts- Standard Library (Beginner to Advanced)
- Development
- Jan 20, 2025

Python Best Parts: Standard Library (Beginner to Advanced), available at Free, has an average rating of 4.79, with 14 lectures, based on 1052 reviews, and has 27138 subscribers.
You will learn about Students will be familiar with great programming concepts Students will be able to write clean, concise, beautiful code Students know the most useful parts of python This course is ideal for individuals who are Anyone who wants to learn new programming ideas or Anyone who wants to write clean code or Anyone with basic python or any other programming language skills It is particularly useful for Anyone who wants to learn new programming ideas or Anyone who wants to write clean code or Anyone with basic python or any other programming language skills.
Enroll now: Python Best Parts: Standard Library (Beginner to Advanced)
Summary
Title: Python Best Parts: Standard Library (Beginner to Advanced)
Price: Free
Average Rating: 4.79
Number of Lectures: 14
Number of Published Lectures: 14
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
This is the number #1 Python 3 Standard Library tutorial on Udemy!
ENROLL聽NOW! 聽(on DISCOUNT!)
Hi. My name is Zoli, I鈥檓 a python programmer. I鈥檓 looking for the best python practices for years.
I want you to know them so I created this mini course about Python3 Standard Library聽to help being a more advanced programmer.聽And have some fun. 馃檪
I鈥檝e gathered the best parts:which are easy to learn, but also very useful at the same time!
Surprisingly often people with years of experience are not aware of these.
You will learn about:
The course comes with full udemy approved 30 days money back guarantee, so you can feel safe.
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Course Curriculum
Chapter 1: Best Parts of Python
Lecture 1: Difflib – Compare text and visualize differences
Lecture 2: Sorted – Customize sort
Lecture 3: Enumerate – Numbering list items
Lecture 4: Pretty print – Formatted print
Lecture 5: Bool – Understand Pythons Truth Testing Procedure
Lecture 6: Csv – Reading & writing .csv files
Lecture 7: Map – For loop alternative
Lecture 8: Filter – For loop & conditional alternative
Lecture 9: Comprehansions I – Simplify code
Lecture 10: Comprehansions II – More simplification
Lecture 11: Random – Generate random numbers, choose random items
Lecture 12: Defaultdict – A smarter dictionary
Lecture 13: Counter – Count anything
Lecture 14: Namedtuple – A better tuple
Instructors

Zolt谩n Pet艖
Senior Architect & Software Engineer, Instructor
Rating Distribution
Frequently Asked Questions
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