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Sumangali Tamilselvan
Sumangali Tamilselvan

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Published in Analytics Vidhya

·Oct 16, 2020

Introduction to Pandas

Python Pandas: Pandas is a software library written for the Python programming language for data manipulation and analysis. Pandas was developed by Wes McKinney in 2008. What is Pandas? Pandas is an open source, BSD-licensed python library. The name is derived from the term “panel data”, an econometrics term for multidimensional structured data sets. It…

Python Programming

2 min read

Introduction to Pandas
Introduction to Pandas
Python Programming

2 min read


Published in Analytics Vidhya

·Jul 21, 2020

Visualize Distributions with Seaborn

What is Seaborn? Seaborn is an incredible Python data visualization library built on-top of matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn is used to visualize random distributions. It’s one of the best visualization packages in any tool or language. It gives us the capability to create…

Data Science

5 min read

Visualize Distributions with Seaborn
Visualize Distributions with Seaborn
Data Science

5 min read


Published in Analytics Vidhya

·Jul 20, 2020

Random Data Distribution in Numpy

What is Data distribution? A data distribution is a function or a listing which shows all the possible values (or intervals) of the data and how often each value occurs. Data distribution is important when working with statistics and data science. The random module offers method that returns randomly generated data distribution. Random Distribution: A random…

Data Science

3 min read

Random Data Distribution in Numpy
Random Data Distribution in Numpy
Data Science

3 min read


Published in Analytics Vidhya

·Jul 19, 2020

Random Numbers in Numpy

What is a Random Number? A different number every time is called a random number??? NOOOO…… then??🤔 Random numbers are numbers that cannot be predicted logically. Computers work on programs, and programs are set of instructions, which means there must be some algorithm to generate a random number. If there is a program to generate…

Python

3 min read

Random Numbers in Numpy
Random Numbers in Numpy
Python

3 min read


Published in Analytics Vidhya

·Jul 19, 2020

Numpy Statistical Functions

NumPy has quite a few handy statistical functions for finding minimum, maximum, mean, median and standard deviation, etc. from the given elements in the array. The functions are described in this article. Statistical Functions To find Averages and variances: mean: This will return the arithmetic mean along the specified axis. median: This will return the median along…

Numpy

2 min read

Numpy Statistical Functions
Numpy Statistical Functions
Numpy

2 min read


Published in Analytics Vidhya

·Jul 18, 2020

Numpy Sort, Filter and Search

Numpy Sort Sorting means putting elements in an ordered sequence. Ordered sequence means sequencing in any order corresponding to elements like numeric or alpha; ascending or descending. Numpy has a function called sort(), that will sort a specified array.

Data Science

3 min read

Numpy Sort, Filter and Search
Numpy Sort, Filter and Search
Data Science

3 min read


Published in Analytics Vidhya

·Jul 18, 2020

Numpy Join and Split

Numpy Join: Joining means putting content of two or more arrays in a single array. We do this using concatenate () along with axis; if axis is not passed; it is taken as 0.

Data Science

3 min read

Numpy Join and Split
Numpy Join and Split
Data Science

3 min read


Published in Analytics Vidhya

·Jul 18, 2020

Numpy Iterating Array

Iterating means going through elements one by one. As we use multi-dimensional array in python (numpy), we can use for loop. Iterating 1-D: For 1-D array, iteration happens one by one. import numpy as np arr=np.array([1,2,3]) print("Original array:",arr) print("After iteration:") for x in arr: print(x)

Data Science

3 min read

Numpy Iterating Array
Numpy Iterating Array
Data Science

3 min read


Published in The Startup

·Jul 18, 2020

Numpy Copy and View

While executing the functions, some of them return a copy of the input array, while some return the view. When the contents are physically stored in another location, it is called Copy. On the other hand, a different view of the same memory content, we call it as View. Copy: The…

Python

2 min read

Numpy Copy and View
Numpy Copy and View
Python

2 min read


Published in Analytics Vidhya

·Jul 16, 2020

Numpy Indexing and Slicing

In our previous article we have seen how to create an array using numpy. Once the creation is done, we must be able to access them. …

Numpy

4 min read

Numpy Indexing and Slicing
Numpy Indexing and Slicing
Numpy

4 min read

Sumangali Tamilselvan

Sumangali Tamilselvan

35 Followers

Aspiring Data Scientist

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