PPT-Lecture 3- Pandas 1 Dr. Sampath Jayarathna

Old Dominion University Credit for some of the slides in this lecture goes to Jianhua Ruan UTSA CS 620 DASC 600 Introduction to Data Science amp Analytics Why pandas One of the most popular library that data scientists use. By: . Pravin. S.. . Bhullar. Natural habitat and environment. Wild pandas live only in, mountainous regions in central China. These high bamboo forests are cool and wet-just as pandas like it. They may climb as high as 13,000 feet to feed on higher slopes in the summer season.. Python for data analysis. Prakhar Amlathe. Utah State University. I. ntroduction to Pandas :. C. reated by Wes McKinney in 2008, now maintained by Jeff Reback and many others. . Powerful and productive Python data analysis and Management Library. Panda. Where do they live. China. What do they look like. Black and white. Other interesting facts. pandas are becoming extinct. Other interesting facts. Pandas are . varee. shy. What do they eat. Introduction Page 1. Where do pandas live? Page 2. Cubs Page 3. What do pandas eat? . . Page 4. Predators? . . Page 5. How do pandas adapt to their environment Page 6. Introduction Page 1. Where do pandas live? Page 2. Cubs Page 3. What do pandas eat? . . Page 4. Predators? . . Page 5. How do pandas adapt to their environment Page 6. Elina Le 23/01/2017 EXPOSE SUR LES PANDAS GEANTS Les pandas vivent en forêts de bambous Tibet et du Sud Ouest de la chine 2 300 m et 3 300m d’altitude. Il apprécie les régions froides, humides et montagneuses. Cet animal aux airs de gros ours en peluche possède en réalité une force incroyable. Il est reconnaissable à sa fourrure noire et blanche qui le protège de la pluie et du froid. Aussi appelé grand panda, il se déplace à quatre pattes et peut se dresser sur ses deux pattes arrière. Bon grimpeur, il se réfugie dans les arbres en cas de danger. Cal Poly Pomona. 1. Why. study user interfaces?. Good UIs are critical to success. UI programming is. easy . (sophisticated algorithms not required). straightforward (can immediately correct mistakes). Old Dominion University. . CS . 795/895. Introduction to . Data Science. Credit for some of the slides in this lecture goes . to . Jianhua. . Ruan. UTSA. Why pandas?. One of the most popular library that data scientists use. Cal Poly Pomona. Overview of Database Design Process. Two main activities:. Database design. Applications design. Focus in this chapter on . conceptual database design. To design the conceptual schema for a database application. Cal Poly Pomona. Based on slides created by Bjarne . Stroustrup. & Tony Gaddis. CS 128. Introduction to C++. 1. Introduction to Loops: . The . while. Loop. Loop. : a control structure that causes a statement or statements to repeat. DataFrame. A Library that is Used for Data Manipulation and Analysis Tool. Using Powerful Data Structures. By . Dr. Ziad Al-Sharif . Pandas First Steps: . install. . and . import. Pandas is an easy package to install. Open up your terminal program . Cal Poly Pomona. Credit for some of the slides in this lecture goes . to . www.id-book.com. . What is human-computer interaction (HCI)?. HCI is the study and the practice of usability.. It is about understanding and creating software and other technology that people will want to use, will be able to use, and will find effective when used.. Cal Poly Pomona. Today. Who I am. CS 599 educational objectives (and why). Overview of the course, and logistics. Quick overview of IR and why we study it. 2. Who am I?. Instructor : . Sampath . Jayarathna. Old Dominion University. Credit for some of the slides in this lecture goes to Larson (Berkeley), . Pattersen. (. UiA. ), Hoekstra (. Perficient. Inc.). CS 620 / DASC 600. Introduction to Data Science & Analytics.