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Strings
Strings
Instructor:
Applied AI Course
Duration:
16 mins
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Dictionary
Introduction
Python for Data Science Introduction
1.1
Python, Anaconda and relevant packages installations
23 min
1.2
Why learn Python?
4 min
1.3
Keywords and identifiers
6 min
1.4
comments, indentation and statements
9 min
1.5
Variables and data types in Python
32 min
1.6
Standard Input and Output
7 min
1.7
Operators
14 min
1.8
Control flow: if else
10 min
1.9
Control flow: while loop
16 min
1.10
Control flow: for loop
15 min
1.11
Control flow: break and continue
10 min
Python for Data Science: Data Structures
2.1
Lists
38 min
2.2
Tuples part-1
10 min
2.3
Tuples part-2
4 min
2.4
Sets
16 min
2.5
Dictionary
21 min
2.6
Strings
16 min
Python for Data Science: Functions
3.1
Introduction
13 min
3.2
Function arguments
10 min
3.3
Recursive functions
16 min
3.4
Lambda functions
8 min
3.5
Modules
7 min
3.6
Types of functions
25 min
3.7
Packages
6 min
3.8
File Handling
23 min
3.9
Exception Handling
15 min
3.10
Debugging Python
15 min
Python for Data Science: Numpy
4.1
Numpy Introduction
41 min
4.2
Numerical operations on Numpy
41 min
Python for Data Science: Pandas
5.1
Getting started with pandas
8 min
5.2
Data Frame Basics
9 min
5.3
Key Operations on Data Frames
31 min
Python for Data Science: Matplotlib
6.1
Getting started with Matplotlib
20 min
Python for Data Science: Computational Complexity
7.1
Space and Time Complexity: Find largest number in a list
20 min
7.2
Binary search
17 min
7.3
Find elements common in two lists
6 min
7.4
Find elements common in two lists using a Hash table/Dict
12 min
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