Introduction to Data Science & Python.pdf

Introduction to Data Science & Python.pdf

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  By:-Mousami Soni Introduction toData Science
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  Why Data Science? ❖ The term “Data Science” was created in the early 1960s. ❖ Data science is a future-proof industry. ❖ Continue to grow along with artificial intelligence, computer science, and deep learning technologies. ❖ Data Science enables companies to efficiently understand gigantic data from multiple sources.
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  What is DataScience? ❑ Data Science is a new powerful approach to make discoveries from the data. ❑ An automated way to analyze enormous amount of data and extract information from it. ❑ A new discipline that combines aspects of statistics, mathematics, programming and visualization.
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  Components of DataScience
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  Life cycle ofData Science
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  Tasks of DataScientist
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  Data Science inDifferent Sectors
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  Data Science Tools
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  What is Python? ❑Python is a simple, general purpose, high level, interpreted scripting language and object-oriented programming language . ❑ It was created by Guido van Rossum, and released in 1991. ❖ Easy to use and Learn ❖ Expressive Language ❖ Interpreted Language ❖ Object-Oriented Language ❖ Open Source Language ❖ Extensible ❖ Learn Standard Library ❖ GUI Programming Support ❖ Integrated ❖ Embeddable ❖ Dynamic Memory Allocation ❖ Wide Range of Libraries and Frameworks Features of using Python
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  Anaconda Distribution Anaconda isa distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.) Installing of Anaconda Python distribution:- Python can be downloaded through Anaconda distribution platform because it has large number of inbuilt python packages By clicking on this link we can download anaconda python distribution. https://www.anaconda.com/products/distribution
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  Anaconda Installation:- Download anacondafor windows
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  An IDE (IntegratedDevelopment Environment) understand your code much better than a text editor. It usually provides features such as build automation, code linting, testing and debugging. Jupyter Notebook:- The Jupyter Notebook is an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text. IDEs for Python
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  Installing Jupyter Notebook
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  Creating Basic PythonJupyter Notebook
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  Basic Operators usedin Python ❑ Arithmetic Operators ❑ Comparison (Relational) Operators ❑ Assignment Operators ❑ Logical Operators ❑ Bitwise Operators ❑ Identity Operators
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  ❑ Python built-infunctions ❑ Python recursion function ❑ Python lambda function ❑ Python user-defined functions Python Functions
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  Data Types inPython Text Type: str Numeric Types: int, float, complex Sequence Types: list, tuple, range Mapping Type: dict Set Types: set, frozenset Boolean Type: bool Binary Types: bytes, bytearray, memoryview None Type: NoneType
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  Statements in Python
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  Thankyou