Category Archives for Data Science

Python Loops and Control Statements Q&A: Day2 Live Session Review

Loop The first statement in a function is executed first, followed by the second, and so on. There may be a situation when you need to execute a block of code several number of times. Programming languages provide various control structures that allow for more complicated execution paths. A loop statement allows us to execute […]

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Data Visualization Using Plotly

Python’s Visualization Library 📸A picture is worth a thousand words In data science, visual presentation📊 of the data is a first-class citizen. We combine together various charts📈 to better understand the data and the relationships it hides. Data Visualization is the technique to represent the data/information in a pictorial or graphical format that enables stakeholders […]

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Python OOPs Concepts, Error And Exception Handling Q & A: Day 4 Live Session Review Classes and Objects

 A class can be thought of as a ‘blueprint’ for objects. These can have their own attributes (characteristics they possess), and methods (actions they perform). Objects have member variables and have behavior associated with them.  In python, a class is created by the keyword class  An object is created using the constructor of the class. […]

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Python Functions: Overview, Types, Arguments, Doctstirng

 Python Functions is a block of related statements designed to perform a computational, logical, or evaluative task.  The idea  is to put some commonly or repeatedly done tasks together and make a function so that instead of writing the same code multiple times for different inputs, function calls can be done to reuse the code contained […]

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Introduction To Data Types In Python: Beginners Guide

A data type or simply a type is a property of data, that tells the language processor (compiler, interpreter) how we are going to use this data. It represents the kind of value that tells what operations can be performed on a particular data. Since everything is an object in Python programming, data types are […]

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Beginners Guide to Loops And Control Statements In Python

 The first statement in a function is executed first, followed by the second, and so on. There may be a situation when you need to execute a block of code several times… Python has primarily 3 Loop types which are: For Loop  While Loop  Nested Loop Key Note : You can put any type of loop inside […]

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Introduction to Python, Objects and Data Structure Basics Q&A: Day1 Live Session Review

Python Python is an interpreted, object-oriented, high-level programming language.It has a lot of modules, dynamic typing, very high-level dynamic data types, and classes. It supports multiple programming paradigms beyond object-oriented programming, such as procedural and functional programming. Main uses of Python: *Server-side web development *Software development *System scripting *Machine learning & Data Science Object An […]

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Jupyter Notebook

 Working With Jupyter Notebook

* What Is Anaconda? Anaconda is a free and open-source distribution of the Python languages for data science and machine learning-related applications. It can be installed on Windows, Linux, and macOS systems. Conda is an open-source, cross-platform, package management system. Anaconda comes with so very nice tools like JupyterLab, Jupyter Notebook, Spyder, Glueviz, Visual Studio […]

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Python HOL

𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬: 𝐒𝐭𝐞𝐩 𝐁𝐲 𝐒𝐭𝐞𝐩 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐆𝐮𝐢𝐝𝐞𝐬 (𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐋𝐚𝐛𝐬)

✔️ Python is among the most preferred and go-to languages for techies🧑🏻‍💻 working in the field of AI, machine learning, Data Science or Data Engineering and it has gained traction📈 in the past few years. 🐍 𝐏𝐲𝐭𝐡𝐨𝐧 – Python is a general-purpose, object-oriented, high-level programming language. Its design 𝐩𝐡𝐢𝐥𝐨𝐬𝐨𝐩𝐡𝐲 emphasizes code readability. Python can handle […]

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Python for Data Science

Data Science ⯮Data science is a field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.Python⯮ Python is a general-purpose, object-oriented, high-level programming language. Its design philosophy emphasizes code readability. Python can handle every job, from data cleaning to data visualization to website development to executing embedded systems. Why […]

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