Datascience and python
- 1. Data Science & Python Dr. Ummesalma M Assistant Professor CHRIST (Deemed to be University) Bengaluru-29
- 2. Data, data everywhereWhat is truth what to dare? 2
- 4. What did Indians searched in 2020 4 QUESTIONS 1) What is coronavirus? 2) What is binod? 3) What is plasma therapy? 4) What isCOVID-19? 5)What isCAA? WEBSERIES 1) MoneyHeist 2) Scam 1992 3) Bigg Boss 14 4) Mirzapur 5) Pataal Lok CELEBRITIES 1) Joe Biden 2) Arnab Goswami 3) KanikaKapoor 4) Kim Jong-un 5)Amitabh Bachchan MOVIES 1) Dil Bechara 2) Soorarai Pottru 3)Tanhaji 4) Shakuntala Devi 5) GunjanSaxena
- 5. What wasGoogled across the countries in 2020? 5 INDIA 1) IndianPremier League 2) Coronavirus 3)US electionresults 4) PM KisanYojana 5) Bihar electionresults UNITEDSTATES 1) Electionresults 2) Coronavirus 3) KobeBryant 4) Coronavirus update 5) Coronavirus symptoms UNITED KINGDOM 1) Coronavirus 2) US election 3) CarolineFlack 4) Coronavirus symptoms 5) Coronavirus update AUSTRALIA 1) US election 2) Coronavirus 3) NBA 4) Zoom 5) Coronavirus symptoms
- 6. 6 What wasGoogled across the globe during pandemic time?
- 7. What wasGoogled across the globe during pandemic time? 7
- 8. Data Science Word Cloud 8
- 10. 10
- 11. Data Science (DS) ▪ Dictionary Meaning: Systematic study of data. ▪ Branch of Science: Data science is a multi-disciplinary field ▪ Requirements: uses scientific methods, processes, algorithms and systems to extract knowledge ▪ Aim: is to get insights from structured and/or unstructured data. ▪ End Result: Facilitate in decision making “A concept to unify statistics, data analysis, machine learning and their related methods" in order to understand and analyze actual phenomena with data. employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science.” 11
- 12. DS Steps 12
- 13. Users of Data Science 13
- 15. How can I benefit from data science? 15
- 16. APPLICATIONS of DATA SCIENCE Fraud Identification Healthcare 16
- 17. APPLICATIONS of DATA SCIENCE Image/Video/Voice Processing Routing 17
- 18. APPLICATIONS of DATA SCIENCE E-commerce Manufacturing 18
- 19. APPLICATIONS of DATA SCIENCE Transport Educare 19
- 20. USECASE 20
- 21. PYTHON ▪ High LevelObjectOriented Programming Language ▪ Birth: 1994 (Senior to Java) ▪ Father: GuidoVan Rossum ▪ Name after Monty Python Circus ▪ Used For: MyriadApplications ▪ Famous for: Data Science ▪ Execution: Command prompt, Python Shell,IDE or online 21
- 22. What Can Python Do? 22 Wait! I can do all these things using other programming languages too! Then why Python? Python can be used for
- 23. Salient Features of Python Even though there are many languages Salient features of Python make it different from others • Interpreted, very-high-level programming language. • Supports a multitude of programming paradigms. • OOP, functional, procedural, logic, etc. • General purpose. • Very comprehensive standard library includes numeric modules, crypto services, OS interfaces, networking modules, GUI support, development tools, etc. 23
- 24. How Python is relevant to data science? What type of data Python supports for data science? Whom to follow? Which tools/sites to refer? Data Science & Python 24
- 25. Python & Data ScienceApplications All 360 25
- 26. Python Libraries ages Useful for Data Science 26
- 27. Who is in favor of Python? 27
- 29. Whom to Follow? Wes McKinney. Creator of pandas, the most widely-used Python library for data analysis. Author of Python for Data Analysis. Senior Vice President and Software Architect at Two Sigma. Hilary Mason. Founder of Fast Forward Labs. Data Scientist in Residence at Accel. Founder of HackNY and co-host of DataGotham Jake VanderPlas. Author of Python Data Science Handbook. Senior Data Science Fellow and Director of Research at the University of Washington's eScience institute. https://mode.com/blog/python-influencers/ 29
- 30. PROS of Python More Pros thanCons 30
- 31. CONS of Python • Python is interpreted,so it's much slower than its counterparts. • Weak in mobile computing, hence not used much in app development • Since Python is dynamic, more errors show up at run-time • Absence of commercial support 31
- 32. Programmers Description Example System Programmers The system programmerinstalls, customizes, and maintains the operatingsystem, and also installsor upgrades products that run on the system. •CAD Engineer •System Engineers •DevOps Developer •Software Developer Web Programmers A web developer is a programmerwho engaged in, the development of World WideWeb applications,or applicationsthat are run over HTTP, CSS OR HTML from a web server to a web browser. •Frontend Developer •BackendDeveloper •Full stack web developer Types of Python Programmers 32
- 33. Programmers Description Example Game Programmers A game programmer is a programmerwho develops codebasesfor video games or related software, such as game development tools.Game programminghasmany specializeddisciplines,allof which fallunder the “game programmer”. •Game Designer •Audio Engineer •Lead-Programmer(Games) •Animators(Games) ApplicationProgrammers The application programmeris a programmerwho is responsiblefordesigning and testing program logic, codingprograms,program documentationand preparationof programs for computer operations. •SDE1 •SDE2 •Software Engineer Experts Capable of doingdifferent tasks •Nerds •Data Analysts 33
- 34. JobOpportunities worldwide after learning Python 34
- 35. Scope of Python in India and worldwide? ImageCourtesy: www.quora.com https://www.3ritechnologies.com/py thon-developer-salary-in-india/ 35
- 36. ETHICS DATA: ▪ Data Privacy ▪ Consent ▪ Plagiarism DATASCIENCE: ▪ Unfair discrimination ▪ Reinforcinghumanbiases ▪ Lackof transparency. CODE: ▪ Claim on work /process/product ▪ UsingCode “ DataCitizens should be responsible.” 36
- 37. Poem on Python Poem byTim Peters 37
- 38. Bibliography and References ▪ Image courtesy: Google ▪ Video courtesy Youtube ▪ Data Courtesy: Online UCI repository ▪ https://medium.com/@dpatil/a-code-of-ethics-for-data-science- cda27d1fac1 ▪ www.towardsdatascience.com ▪ Daniel, B. K. (2019). Big Data and data science: A critical review of issues for educational research. British Journal of EducationalTechnology, 50(1), 101- 113. ▪ Data Mining "Concepts and techniques." Jiawei Han,Jian Pei, Micheline Kamber (2011). 3rd edition. Elsevier, ISBN 01 23814804, 9780123814807. 38
- 39. 39