Thursday 17 February 2022
Saturday 5 February 2022
Address detail through python code
Python Coding February 05, 2022 Python No comments
Track phone number using python
Python Coding February 05, 2022 Python No comments
Formatting Dates and Time Strings in Python
Python Coding February 05, 2022 Python No comments
Python statistics module
Python Coding February 05, 2022 Python No comments
Saturday 8 January 2022
Popular Python libraries used in Data Science
Author January 08, 2022 Python No comments
Scientific Computing and Statistics
NumPy (Numerical Python)—Python does not have a built-in array data structure. It uses lists, which are convenient but relatively slow. NumPy provides the high-performance ndarray data structure to represent lists and matrices, and it also provides routines for processing such data structures.
SciPy (Scientific Python)—Built on NumPy, SciPy adds routines for scientific processing, such as integrals, differential equations, additional matrix processing and more. scipy.org controls SciPy and NumPy.
StatsModels—Provides support for estimations of statistical models, statistical tests and statistical data exploration.
Data Manipulation and Analysis :
Visualization :
Machine Learning, Deep Learning, and Reinforcement Learning
Natural Language Processing (NLP)
Friday 31 December 2021
Happy New Year 2022 in Python using Turtle Library
Author December 31, 2021 Python No comments
Monday 29 November 2021
Numpy In Python
Author November 29, 2021 Python No comments
Introduction to NumPy
Array
NumPy Array
Creation of array
Some Operations on Numpy array
Saturday 27 November 2021
Sequence Data Part 5 | Day 9 | General Sequence Data Methods | Part I
Author November 27, 2021 Python No comments
General Sequence Data Methods | Part I
Some of the methods that we can apply on any sequential data.
So basically Python methods are like a Python function, but it must be called on an object.
And Python also has a set of built in methods that you can use on sequential data, but note that the method is going to written new values, but they are not going to change the original data at all. So we are going to look at few examples on how we can call the methods on the given sequential data.
String Methods
4) .find() - And you can also find the index of a given letter, for example, if you want to particularly know the index of a given character then you can give that inside the find method. So that should be given the single quote. So the index of n is 4.
6) .replace() - Using the method replace you will be able to replace any word with the given word. For example, you can apply or you can call that on the string and that is strsample and inside method you can just give string to be searched that is fun. So we are searching for the word fun in the strsample string and I am going to replace fun with joyful. So let me just try this. So you are getting learn is joyful. Instead of getting learn is fun which was the original string.
Friday 26 November 2021
Sequence DataType Part - IV [Concatenation and Multiplication]
Author November 26, 2021 Python No comments
Sequence Data Operations : Concatenation
Syntax : '+' , '+='
Wednesday 24 November 2021
Sequence DataType Part - III [Slicing]
Author November 24, 2021 Python No comments
Sequence data operations: Slicing
String Slicing
List Slicing
Dictionary Slicing
Set Slicing
Tuesday 23 November 2021
Sequence DataType Part - II [Indexing]
Author November 23, 2021 Python No comments
Sequence data operations: Indexing
String Indexing
List Indexing
Array Indexing
Dictionary Indexing
Range Indexing
Monday 22 November 2021
Sequence DataType Part - I
Author November 22, 2021 Python No comments
Sequence data type
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