Python Data Types Masterclass - Zero to Expert

[mitsumi]

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.29 GB | Duration: 6h 14m
Learn data types list, tuple, set, dictionary in Python with programs & practical labs

What you'll learn
Data types in Python
Tuple Data Type in Python
Set Data Type in Python
Dictionary Data Type in Python

Description
We have created this course with detailed explanation of every concept.

Currently we are publishing the content which is already prepared as part 1 of this course and will cover more topics of Python Programming Language.

This course covers theory and practical examples for every conceptual topic of List, Tuple, Set & Dictionary data types in Python.

Covers important concepts of data types list, tuple, set, dictionary in Python

Topics covered for Tuple:

Tuple in Python

Creation of Tuple

Index of Elements in Tuple

Index() method of Tuple

Append elements in Tuple

Change elements in Tuple

Delete elements in Tuple

Slice elements from Tuple

Concatenate Tuple

Unpacking of elements in Tuple

Topics covered for Set:

Set in Python

Creation of Set

Access elements in Set

Add elements in Set

Remove elements in Set

Union Join of Sets

Intersection of Sets

Difference of Sets

Symmetric difference of Sets

Disjoint, subset & superset

List vs. Tuple vs. Set

Topics covered for Dictionary:

Dictionary in Python

Creation of Dictionary

Add elements in Dictionary

Access elements in Dictionary

Update elements in Dictionary

Remove elements in Dictionary

Copy of Dictionary

Nested Dictionary

Dictionary built-in functions

Dictionary methods

Iteration in Dictionary

Dictionary Comprehension

This course includes practice programs & practical labs using the concepts of Python programming language

In future (near time) we will cover the other important topics of Python with this course. Following topics will be covered:

Variables, operators and loops in Python

Concepts of Object Oriented Programming (OOPs)

File handling, exception handling and modules in Python programming language

Who this course is for:
Candidates starting their career in IT industry or looking for growth in their career
Software Developers and Testing professionals working towards automation
Data Scientists, Data Analysts, Network & Automation Engineers
Whoever wants to work in the field of Data Science, Machine Learning, Artificial Intelligence

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