Python & Data Science
- 1. by Younus S B S M.Phil., Computer Science Sadakathullah Appa College Under the Guidance of Dr.S.Shajun Nisha, MCA, M.Phil, MBA, M.Tech, Ph.D, MISTE, Assistant Professor & Head PG & Research Department of Computer Science Sadakathullah Appa College
- 3. Language Communication-Sharing of Information Language-a way or a method to make communication
- 4. Programming Language A programming language is a set of commands, instructions, and other syntax use to create a software program Command: a word that makes system to do something Instruction: sequence of commands Syntax: Structure of program Why we need programming language…?
- 5. Python Python is a high-level programming language designed to be easy to read and simple to implement. It is open source
- 6. High Level Language A high-level language (HLL) is a programming language that enables a programmer to write programs that are more or less independent of a particular type of computer. Such languages are considered high-level because they are closer to human languages and further from machine languages.
- 7. Open Source Program’s source code is freely available to the public unlike Commercial Software 3-Types of Software: Freeware : Free to use Shareware: Free but limited resource(pay for additional resource) Commercial Software: pay amount before use
- 8. Python
- 9. Django Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design Follows MVT model Terminologies: Bootstrap Jinja Pycharm
- 10. Bootstrap Bootstrap is a CSS framework that makes it easier to create website and web application user interfaces. Bootstrap 4 is the newest version of Bootstrap. Bootstrap 4 supports all major browsers except Internet Explorer 9. If you require support for IE9 or IE8, you must use Bootstrap 3.
- 12. Pycharm There are 2-types of Software, System Software Application Software Pycharm-Editor (System Software)
- 13. Data Science Sexiest job of 21st century Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured (?) Data Mining is just obtain useful information from massive amount of data What is a difference between data & information
- 14. Massive Data According to a paper from IBM, about 2.5 billion gigabytes of data had been generated on a daily basis in the year 2012. Another article from Forbes informs us that data is growing at a pace which is faster than ever. The same article suggests that by the year 2020, about 1.7 billion of new information will be developed per second for all the human inhabitants on this planet
- 15. Data Science Algorithms Linear Regression Logistic Regression Linear Discriminant Analysis Classification and Regression Trees Naive Bayes
- 16. Algorithms (contd….) K-Nearest Neighbors Learning Vector Quantization Support Vector Machines Bagging and Random Forest Boosting and AdaBoost
- 17. Data Science-Main Applications Artificial Intelligence Machine Learning-Learn from data by algorithms Deep Learning- improved ML by Artificial Neural Ntworks
- 18. Data Science & ML in Python Data Science Numpy and Pandas ML Scikit-Learn Typically, these packages developed by Scientists and implemented by Engineers
- 19. Applications Internet Search Digital Advertisements (Targeted Advertising and re- targeting) Recommender Systems Image Recognition Speech Recognition Gaming Price Comparison Websites Fraud and Risk Detection Delivery logistics