Data Science

Data science the topic summary

Python is a high-level, interpreted programming language that emphasizes code readability and simplicity. It was created by Guido van Rossum and first released in 1991. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, making it versatile and flexible. Here are some key characteristics and features of Python: Readability: Python's syntax is designed to be easy to read and understand, using indentation and whitespace to d...

In-depth roadmap to beginners on data science

It is a theory document about data science. Here you can learn everything about data science. You can begin from zero .

JavaScript is a popular programming language used to create interactive web content. It is a client-side scripting language, meaning it runs on the user's browser. JavaScript syntax is based on C programming, using objects, functions, and variables to manipulate data. It is also used in server-side environments with N and mobile app development with frameworks such as React Native. JavaScript has a large community of developers and many resources available for learning.

These notes are written records of the process and findings of data analysis, often including code snippets, visualizations, and explanations.

3 in 1 notes (1) we will see various operations you can perform in arrays. Insertion, delation, traversal and searching are some of the operations you can perform on arrays (2) Array insertion C code: In this notes we will code insertion operation out of the operations (3) Array Deletion in C - In this notes explain how to code deletion in an array

Calculating asymptotic time complexity can sometimes be very challenging to understand. This notes throws light on basics of time complexity and big o notation

It describes the field of data science and its importance in various industries. It also provides examples of how data science is used by companies like Walmart and Netflix to analyze data from social media and user behavior to make informed decisions. The text mentions that data science involves understanding how data is collected, analyzed, and used to make decisions. It also lists the skills required to be a successful data scientist, including mastery of all aspects of data science, a good p...

What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics codebasics Data science is a process of getting insights from your data using technology. Microsoft Excel can not work on this huge volume of data because the data is not data it is big data all right so for big data you need advanced technology and tools such as Python and R these are the programming languages that data scientists use to perform data analysis for data store and distributed computing...