SUBHANSHU PP T.pptx

1. DATA SCIENCE USING PYTHON Under the guidance of :- ( R.J SHUKLA NILET ) Name of Student :- SHUBHANSHU SINGH ECE 4 TH YEAR 2105250310064 Department of Electronics & Communication Engineering BUDDHA INSTITUTE OF TECHNOLOGY, GIDA, GORAKHPUR

2. TABLE OF CONTENT WHAT IS DATA SCIENCE? WHAT IS PYTHON? WHY WE USE DATA SCIENCE WITH PYTHON? DATA TYPES IN PYTHON PYTHON BASICS : LOOPING PYTHON LIBRARY: NUMPY AND PANDAS APPLICATION OF DATA SCIENCE

3. Data science is the process of finding insights/trends/ intelligence that supports the business leaders to make the better decision. Data science is a relatively new field and deeply rooted to Statistics and Decision Support System. It is a Multidisciplinary field ( Domain Knowledge, Tools & technology, Mathematics & Statistics, Problem Solving Skills). What is Data Science ?

4. WHAT IS PYTHON: A high-level general-purpose programming language. A very popular Data Science tool for data analysis, data visualization and Machine Learning tasks It is a open source and free tool

5. WHY WE USE DATA SCIENCE WITH PYTHON ? Python is object-oriented The following primary factors cited by Python users seem to be these: Structure supports such concepts as polymorphism, operation overloading, and multiple inheritance. .It's free (open source) Downloading and installing Python is free and easy Source code is easily accessible .

6. DATA TYPES IN PYTHON Python has many native data types. Here are the important ones: Booleans are either True or False. Numbers can be integers (1 and 2), floats (1.1 and 1.2), fractions (1/2 and 2/3), or even complex numbers. Strings are sequences of Unicode characters, e.g. an HTML document. Bytes and byte arrays , e.g. a JPEG image file. Lists are ordered sequences of values. Tuples are ordered, immutable sequences of values. Sets are unordered bags of values.

7. LIST Collection comma-separated values (items) between square brackets Contain same or different types Mutable behavior Values can add, remove, update/replace the value, slice and dice the members Example: list1 = ['physics', 'chemistry', 1997, 2000]; list2 = [1, 2, 3, 4, 5 ];

8. DICTIONARY : A collection of unordered data values A dictionary holds key value pairs of data The items are separated by commas, and the whole thing is enclosed in curly braces Keys are immutable but the values are mutable - can add modify and Delete values  Example: Dictionary. capitals = {" USA":"Washington D.C.", " France":"Paris ", " India":"New Delhi"} 

9. APPLICATION OF DATA SCIENCE