Python Data science in Telugu Class05 by Balaji VlrTraining Learn Python for Data Science
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Python Data science in Telugu Class05 by Balaji VlrTraining Learn Python for Data Science
130 просмотров · 8 дней назад
VLR Training
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130 просмотров · 8 дней назад
Python Data science in Telugu Class05 by Balaji VlrTraining Learn Python for Data Science
00:00:00 - Python 2.7 vs. Python 3.6 & Execution Speed Optimization
00:03:18 - Introduction to Data Structures in Python
00:06:10 - The 5 Core Data Structures (List, Tuple, String, Dictionary, Set)
00:08:14 - Google Python Exercises Announcement
00:11:36 - Difference Between Methods and Functions
00:21:24 - List Concatenation & Addition (Using NumPy)
00:26:57 - List Repetition Using Multiplication
00:28:19 - Sorting Lists: list.sort() vs. sorted()
00:37:57 - Checking Element Existence in a List
00:38:49 - The append() Method & Accessing Nested Lists
00:46:05 - The remove() Method
00:47:40 - The index() Method
00:49:28 - The reverse() Method
00:51:28 - The clear() Method
00:53:19 - The extend() Method vs. Concatenation (+)
01:02:42 - Q&A, Technical Troubleshooting, and Session Wrap-up
01:14:36 - Why Lists are Considered Mutable
In this comprehensive Python tutorial, we dive deep into Python Data Structures with a special focus on Lists. You will learn the fundamental execution speed differences between Python 2.7 and 3.6, followed by a detailed breakdown of core data structures including Lists, Tuples, Strings, Dictionaries, and Sets. The session covers practical implementations of List methods such as append(), extend(), sort(), reverse(), and clear(), along with the crucial differences between methods and functions. Perfect for beginners and aspiring data scientists looking to strengthen their Python coding foundation. Delivered in a clear Telugu and English mix.
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