CSE 115. Introduction to Computer Science I

Size: px
Start display at page:

Download "CSE 115. Introduction to Computer Science I"

Transcription

1 CSE 115 Introduction to Computer Science I

2 Road map Review exercises dictionaries (key-value mappings) exercises

3 key-value mappings name > phone number person number > student record driver license > driving record A dictionary [is] a set of key:value pairs, with the requirement that the keys are unique (within one dictionary).

4 Operations Create >>> x = {} >>> x = { 'a': 1, 'b' : 2, 'c' : 3, 'd' : 4 } Add/Update >>> x['c'] = 12 >>> x.update( { 'b':7, 'z':3 } ) Retrieve >>> x['c'] >>> x.get('c') Remove >>> del x['c'] >>> x.pop('z') Membership >>> 'c' in x >>> 'c' not in x

5 Operations Keys >>> x.keys() >>> list(x.keys()) >>> list(x) >>> sorted(x) Values >>> x.values() >>> list(x.values()) Pairs >>> x.items() >>> list(x.items())

6 Road map Review exercises dictionaries (key-value mappings) exercises

7 exercise 1 Define a function that accepts a dictionary and a value, and returns how many times that value occurs in the dictionary.

8 exercise 1 Define a function that accepts a dictionary and a value, and returns how many times that value occurs in the dictionary. def valuecount(dict, val): answer = 0 for v in dict.values(): if v==val: answer = answer + 1 return answer

9 exercise 1 Define a function that accepts a dictionary and a value, and returns how many times that value occurs in the dictionary. def valuecount(dict, val): answer = 0 for v in dict.values(): if v==val: answer = answer + 1 return answer This problem fits the same general pattern we've seen previously!

10 exercise 1 Define a function that accepts a dictionary and a value, and returns how many times that value occurs in the dictionary. def valuecount(dict, val): answer = 0 for v in dict.values(): if v==val: answer = answer + 1 return answer The twist? We only conditionally add to answer!

11 exercise 2 Define a function that accepts a dictionary and a value, and returns a list of the keys that are paired with that value in the dictionary.

12 exercise 2 Define a function that accepts a dictionary and a value, and returns a list of the keys paired with that value in the dictionary. def matchedkeys(dict, val): answer = [] for k in dict.keys(): if dict.get(k)==val: answer.append(k) return answer This problem also fits the same general pattern we've seen previously!

13 exercise 2 using "deconstructive assignment": Define a function that accepts a dictionary and a value, and returns a list of the keys paired with that value in the dictionary. def matchedkeys(dict, val): answer = [] for it in dict.items(): k,v = it if v==val: answer.append(k) return answer Syntax to decompose a tuple. This problem also fits the same general pattern we've seen previously!

14 Road map Review exercises dictionaries (key-value mappings) exercises

15 key-value maps in JavaScript Create > x = {} > x = { 'a': 1, 'b' : 2, 'c' : 3, 'd' : 4 } Add/Update > x['c'] = 12 > x['b'] = 7 > x['z'] = 3 Retrieve > x['c'] > x.c Remove > delete x['c'] > delete x.c Membership >>> 'c' in x >>>! ('c' in x) objects vs. maps an object is a key-value map some downsides (e.g. not anything can be a key) some advantages (e.g. simplicity, direct JSON support) a map is a key-value map some downsides (no direct JSON support) some advantages (e.g. anything can be key, richer operations)

16 key-value maps in JavaScript Create > x = {} > x = { 'a': 1, 'b' : 2, 'c' : 3, 'd' : 4 } Add/Update > x['c'] = 12 > x['b'] = 7 > x['z'] = 3 Retrieve > x['c'] > x.c Remove > delete x['c'] > delete x.c Membership >>> 'c' in x >>>! ('c' in x) objects vs. maps an object is a key-value map some downsides (e.g. not anything can be a key) some advantages (e.g. simplicity, direct JSON support) a map is a key-value map some downsides (no direct JSON support) some advantages (e.g. anything can be key, richer operations) We will explore objects as key-value maps for now.

17 Operations Create > x = {} > x = { 'a': 1, 'b' : 2, 'c' : 3, 'd' : 4 } Add/Update > x['c'] = 12 > x['b'] = 7 > x['z'] = 3 Retrieve > x['c'] > x.c Remove > delete x['c'] > delete x.c Membership >>> 'c' in x >>>! ('c' in x)

18 Operations Create > x = {} > x = { 'a': 1, 'b' : 2, 'c' : 3, 'd' : 4 } Add/Update > x['c'] = 12 > x['b'] = 7 > x['z'] = 3 Retrieve > x['c'] > x.c Remove > delete x['c'] > delete x.c Membership >>> 'c' in x >>>! ('c' in x)

19 Operations Create > x = {} > x = { 'a': 1, 'b' : 2, 'c' : 3, 'd' : 4 } Add/Update > x['c'] = 12 > x['b'] = 7 > x['z'] = 3 Retrieve > x['c'] > x.c Remove > delete x['c'] > delete x.c Membership >>> 'c' in x >>>! ('c' in x)

20 Operations Create > x = {} > x = { 'a': 1, 'b' : 2, 'c' : 3, 'd' : 4 } Add/Update > x['c'] = 12 > x['b'] = 7 > x['z'] = 3 Retrieve > x['c'] > x.c Remove > delete x['c'] > delete x.c Membership >>> 'c' in x >>>! ('c' in x)

21 Operations Create > x = {} > x = { 'a': 1, 'b' : 2, 'c' : 3, 'd' : 4 } Add/Update > x['c'] = 12 > x['b'] = 7 > x['z'] = 3 Retrieve > x['c'] > x.c Remove > delete x['c'] > delete x.c Membership >>> 'c' in x >>>! ('c' in x)

22 Operations Keys > Object.keys(x) Values > Object.values(x) Pairs > This is not built-in as in Python.

23 Operations Keys > Object.keys(x) Values > Object.values(x) Pairs > This is not built-in as in Python. No problem - we can define our own function! function items(map) { var answer = []; for (var k in map) { var p = {}; p[k] = map[k]; answer.push(p); } return answer; }

24 Road map Review exercises dictionaries (key-value mappings) exercises

25 exercise 1 Define a function that accepts a dictionary and a value, and returns how many times that value occurs in the dictionary.

26 exercise 2 Define a function that accepts a dictionary and a value, and returns an array of the keys that are paired with that value in the dictionary.

Python. Olmo S. Zavala R. Python Data Structures. Lists Tuples Dictionaries. Center of Atmospheric Sciences, UNAM. August 24, 2016

Python. Olmo S. Zavala R. Python Data Structures. Lists Tuples Dictionaries. Center of Atmospheric Sciences, UNAM. August 24, 2016 Center of Atmospheric Sciences, UNAM August 24, 2016 are the most versatile datatype available in. It can be seen as a container of other types of variables. are identified with square brackets and its

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Road map Review Limitations of front-end sites Web servers Examples Review

More information

Chapter 8 Dictionaries. Dictionaries are mutable, unordered collections with elements in the form of a key:value pairs that associate keys to values.

Chapter 8 Dictionaries. Dictionaries are mutable, unordered collections with elements in the form of a key:value pairs that associate keys to values. Chapter 8 Dictionaries Dictionaries are mutable, unordered collections with elements in the form of a key:value pairs that associate keys to values. Creating a Dictionary To create a dictionary, you need

More information

Lecture 21. Chapter 12 More Python Containers

Lecture 21. Chapter 12 More Python Containers Lecture 21 Chapter 12 More Python Containers 12.1 Two Familiar Containers: list and tuple 12.2 Dictionaries 12.3 Containers of containers 12.4 Set and Frozenset 12.5 Arrays Chapter 12 More Python Containers

More information

Dictionaries. By- Neha Tyagi PGT CS KV 5 Jaipur II Shift Jaipur Region. Based on CBSE Curriculum Class -11. Neha Tyagi, KV 5 Jaipur II Shift

Dictionaries. By- Neha Tyagi PGT CS KV 5 Jaipur II Shift Jaipur Region. Based on CBSE Curriculum Class -11. Neha Tyagi, KV 5 Jaipur II Shift Dictionaries Based on CBSE Curriculum Class -11 By- Neha Tyagi PGT CS KV 5 Jaipur II Shift Jaipur Region Introduction Python provides us various options to store multiple values under one variable name.

More information

UCT Department of Computer Science Computer Science 1017F. Functions. Lighton Phiri April 2015

UCT Department of Computer Science Computer Science 1017F. Functions. Lighton Phiri April 2015 UCT Department of Computer Science Computer Science 1017F Functions Lighton Phiri April 2015 Functions in pespective Function definition Function signature Function invocation Input

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Road map Review HTTP Web API's JSON in Python Examples Python Web Server import bottle @bottle.route("/") def any_name(): response = "" response

More information

Selection Statement ( if )

Selection Statement ( if ) Islamic University Of Gaza Faculty of Engineering Computer Engineering Department Lab 4 Selection Statement ( if ) Eng. Ibraheem Lubbad October 10, 2016 In this lab we will constructs program that allow

More information

More Examples Using Lists Tuples and Dictionaries in Python CS 8: Introduction to Computer Science, Winter 2018 Lecture #11

More Examples Using Lists Tuples and Dictionaries in Python CS 8: Introduction to Computer Science, Winter 2018 Lecture #11 More Examples Using Lists Tuples and Dictionaries in Python CS 8: Introduction to Computer Science, Winter 2018 Lecture #11 Ziad Matni Dept. of Computer Science, UCSB Administrative Homework #6 is DUE

More information

Computer Sciences 368 Scripting for CHTC Day 3: Collections Suggested reading: Learning Python

Computer Sciences 368 Scripting for CHTC Day 3: Collections Suggested reading: Learning Python Day 3: Collections Suggested reading: Learning Python (3rd Ed.) Chapter 8: Lists and Dictionaries Chapter 9: Tuples, Files, and Everything Else Chapter 13: while and for Loops 1 Turn In Homework 2 Homework

More information

Introduction to Problem Solving and Programming in Python.

Introduction to Problem Solving and Programming in Python. Introduction to Problem Solving and Programming in Python http://cis-linux1.temple.edu/~tuf80213/courses/temple/cis1051/ Overview Python sequences Lists, Tuples, and Ranges Built-in operations Slicing

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Road map Review JSON Chat App - Part 1 AJAX Chat App - Part 2 Front End JavaScript first Web Page my content

More information

Lecture 7: Lambda & Abstract Data Types

Lecture 7: Lambda & Abstract Data Types UC Berkeley EECS Adj. Ass. Prof. Dr. Gerald Friedland Computational Structures in Data Science Lecture 7: Lambda & Abstract Data Types Computational Concepts Toolbox Data type: values, literals, operations,

More information

EXAMINATION INSTRUCTIONS

EXAMINATION INSTRUCTIONS Midterm exam CSE5/503 Computer Science I Spring 209 EXAMINATION INSTRUCTIONS This examination has 9 pages. If your copy is missing a page, let one of the course staff know. Before starting this test, students

More information

Introduction to Python

Introduction to Python Introduction to Python Version 1.1.5 (12/29/2008) [CG] Page 1 of 243 Introduction...6 About Python...7 The Python Interpreter...9 Exercises...11 Python Compilation...12 Python Scripts in Linux/Unix & Windows...14

More information

Python Lists 2 CS 8: Introduction to Computer Science Lecture #9

Python Lists 2 CS 8: Introduction to Computer Science Lecture #9 Python Lists 2 CS 8: Introduction to Computer Science Lecture #9 Ziad Matni Dept. of Computer Science, UCSB Administrative Tutoring/Review Session Available! Friday, 5/5 at 2:00 PM in PHELPS 3526 T.A.

More information

MUTABLE LISTS AND DICTIONARIES 4

MUTABLE LISTS AND DICTIONARIES 4 MUTABLE LISTS AND DICTIONARIES 4 COMPUTER SCIENCE 61A Sept. 24, 2012 1 Lists Lists are similar to tuples: the order of the data matters, their indices start at 0. The big difference is that lists are mutable

More information

Sets and Maps. Set Commands Set ADT Set ADT implementation Map ADT Map ADT implementation

Sets and Maps. Set Commands Set ADT Set ADT implementation Map ADT Map ADT implementation Sets and Maps Set Commands Set ADT Set ADT implementation Map ADT Map ADT implementation Set The Set is a common container used in programming. Represents the mathematical set structure: Stores unordered

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Midterm Midterm will be returned no later than Monday. We may make midterm pickup available before then. Stay tuned. Midterm results Module 1 Module 2 Overall

More information

Python Lists and Dictionaries CS 8: Introduction to Computer Science, Winter 2019 Lecture #13

Python Lists and Dictionaries CS 8: Introduction to Computer Science, Winter 2019 Lecture #13 Python Lists and Dictionaries CS 8: Introduction to Computer Science, Winter 2019 Lecture #13 Ziad Matni, Ph.D. Dept. of Computer Science, UCSB Administrative Hw07 out today DUE ON MONDAY 3/11 Lab07 will

More information

Reading and Writing Files

Reading and Writing Files Reading and Writing Files 1. def find_dups(l): (list) -> set 2. Return the number of duplicates numbers from L. >>> find_dups([1, 1, 2, 3, 4, 2]) {1, 2} >>> find_dups([1, 2, 3, 4]) set() elem_set = set()

More information

COMP 204: Dictionaries Recap & Sets

COMP 204: Dictionaries Recap & Sets COMP 204: Dictionaries Recap & Sets Material from Carlos G. Oliver, Christopher J.F. Cameron October 10, 2018 1/21 Reminder Midterm on Wednesday October 17 at 6:30-8:00 pm. Assignment 2: numpy is allowed

More information

List comprehensions (and other shortcuts) UW CSE 160 Spring 2015

List comprehensions (and other shortcuts) UW CSE 160 Spring 2015 List comprehensions (and other shortcuts) UW CSE 160 Spring 2015 Three Ways to Define a List Explicitly write out the whole thing: squares = [0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100] Write a loop to create

More information

Python. Executive Summary

Python. Executive Summary Python Executive Summary DEFINITIONS OBJECT: a unit of data of a particular type with characteristic functionality (i.e., methods and/or response to operators). Everything in Python is an object. "atomic"

More information

CMSC 201 Fall 2015 Lab 12 Tuples and Dictionaries

CMSC 201 Fall 2015 Lab 12 Tuples and Dictionaries CMSC 201 Fall 2015 Lab 12 Tuples and Dictionaries Assignment: Lab 12 Tuples and Dictionaries Due Date: During discussion, November 30 th through December 3 rd Value: 1% of final grade Part 1: Data Types

More information

Learning R via Python...or the other way around

Learning R via Python...or the other way around Learning R via Python...or the other way around Dept. of Politics - NYU January 7, 2010 What We ll Cover Brief review of Python The Zen of Python How are R and Python the same, and how are they different

More information

Abstract Data Types. David E. Culler CS8 Computational Structures in Data Science Lecture 7 March 7, 2016

Abstract Data Types. David E. Culler CS8 Computational Structures in Data Science   Lecture 7 March 7, 2016 Abstract Data Types David E. Culler CS8 Computational Structures in Data Science http://inst.eecs.berkeley.edu/~cs88 Lecture 7 March 7, 2016 Computational Concepts Toolbox Data type: values, literals,

More information

CSE : Python Programming

CSE : Python Programming CSE 399-004: Python Programming Lecture 08: Graphical User Interfaces with wxpython March 12, 2005 http://www.seas.upenn.edu/~cse39904/ Plan for today and next time Today: wxpython (part 1) Aside: Arguments

More information

Today. Assignments. Lecture Notes CPSC 326 (Spring 2019) Operator Associativity & Precedence. AST Navigation. HW4 out (due next Thurs)

Today. Assignments. Lecture Notes CPSC 326 (Spring 2019) Operator Associativity & Precedence. AST Navigation. HW4 out (due next Thurs) Today Operator Associativity & Precedence AST Navigation Assignments HW4 out (due next Thurs) S. Bowers 1 of 10 Generating Abstract Syntax Trees (ASTs) 1. The parsing step both checks syntax and builds

More information

Lecture 18: Lists II. CS1068+ Introductory Programming in Python. Dr Kieran T. Herley 2018/19. Department of Computer Science University College Cork

Lecture 18: Lists II. CS1068+ Introductory Programming in Python. Dr Kieran T. Herley 2018/19. Department of Computer Science University College Cork Lecture 18: Lists II CS1068+ Introductory Programming in Python Dr Kieran T. Herley 2018/19 Department of Computer Science University College Cork Summary More on Python s lists. Sorting and reversing.

More information

COMP10001 Foundations of Computing Functions

COMP10001 Foundations of Computing Functions COMP10001 Foundations of Computing Functions Semester 1, 2017 Tim Baldwin & Egemen Tanin version: 1093, date: March 21, 2017 2017 The University of Melbourne Announcements Project 1 now out Live Tutor

More information

Functions and Objects. Week 7: Symbolic Computation

Functions and Objects. Week 7: Symbolic Computation Week 7: Symbolic Computation In the previous weeks, we've seen the essential elements of modern functional programming: Functions (rst class) Types (parametric) Pattern Matching Lists This week, we'll

More information

Introduction to Python

Introduction to Python May 25, 2010 Basic Operators Logicals Types Tuples, Lists, & Dictionaries and or Building Functions Labs From a non-lab computer visit: http://www.csuglab.cornell.edu/userinfo Running your own python setup,

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Road map Review Exercises from last time Reading csv files exercise File reading A b i t o f t e x t \n o n s e v e r a l l i n e s \n A text file is a sequence

More information

Python Lists: Example 1: >>> items=["apple", "orange",100,25.5] >>> items[0] 'apple' >>> 3*items[:2]

Python Lists: Example 1: >>> items=[apple, orange,100,25.5] >>> items[0] 'apple' >>> 3*items[:2] Python Lists: Lists are Python's compound data types. A list contains items separated by commas and enclosed within square brackets ([]). All the items belonging to a list can be of different data type.

More information

Sequences and iteration in Python

Sequences and iteration in Python GC3: Grid Computing Competence Center Sequences and iteration in Python GC3: Grid Computing Competence Center, University of Zurich Sep. 11 12, 2013 Sequences Python provides a few built-in sequence classes:

More information

Lecture Data Collections. Richard E Sarkis CSC 161: The Art of Programming

Lecture Data Collections. Richard E Sarkis CSC 161: The Art of Programming Lecture Data Collections Richard E Sarkis CSC 161: The Art of Programming Class Administrivia Agenda To understand the use of lists (arrays) to represent a collection of related data. To be familiar with

More information

[301] JSON. Tyler Caraza-Harter

[301] JSON. Tyler Caraza-Harter [301] JSON Tyler Caraza-Harter Learning Objectives Today JSON differences with Python syntax creating JSON files reading JSON files Read: Sweigart Ch 14 https://automatetheboringstuff.com/chapter14/ JSON

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Announcement For lab exam 2 only: We will allow students to take the exam even if lab entry ticket is not yet earned. Lab entry ticket must be completed within

More information

Introduction to Python Part 2

Introduction to Python Part 2 Introduction to Python Part 2 v0.2 Brian Gregor Research Computing Services Information Services & Technology Tutorial Outline Part 2 Functions Tuples and dictionaries Modules numpy and matplotlib modules

More information

Outline: Data collections (Ch11)

Outline: Data collections (Ch11) Data collections Michael Mandel Lecture 9 Methods in Computational Linguistics I The City University of New York, Graduate Center https://github.com/ling78100/lectureexamples/blob/master/lecture09final.ipynb

More information

Welcome to CS50 section! This is Week 10 :(

Welcome to CS50 section! This is Week 10 :( Welcome to CS50 section! This is Week 10 :( This is our last section! Final project dates Official proposals: due this Friday at noon Status report: due Monday, Nov 28 at noon Hackathon: Thursday, Dec

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Road map Review (sorting) Empirical Demo Defining Custom Sorts Sorting Given a sequence of values that can be ordered, sorting involves rearranging these values

More information

Today: Revisit some objects. Programming Languages. Key data structure: Dictionaries. Using Dictionaries. CSE 130 : Winter 2009

Today: Revisit some objects. Programming Languages. Key data structure: Dictionaries. Using Dictionaries. CSE 130 : Winter 2009 CSE 130 : Winter 2009 Programming Languages Lecture 11: What s in a Name? Today: Revisit some objects Exploit features and build powerful expressions Base: int, float, complex Sequence: string, tuple,

More information

Topological Invariants with Z2Pack. Topological Matter School 2016, Donostia

Topological Invariants with Z2Pack. Topological Matter School 2016, Donostia Topological Invariants with Z2Pack Topological Matter School 2016, Donostia Part 1: A Short Introduction to Python Why Python? Title text: I wrote 20 short programs in Python yesterday. It was wonderful.

More information

EXAMINATION INSTRUCTIONS

EXAMINATION INSTRUCTIONS Midterm exam CSE115/503 Computer Science I Spring 2019 EXAMINATION INSTRUCTIONS This examination has 9 pages. If your copy is missing a page, let one of the course staff know. Before starting this test,

More information

Chapter 14 Tuples, Sets, and Dictionaries. Copyright 2012 by Pearson Education, Inc. All Rights Reserved.

Chapter 14 Tuples, Sets, and Dictionaries. Copyright 2012 by Pearson Education, Inc. All Rights Reserved. Chapter 14 Tuples, Sets, and Dictionaries 1 Motivations The No Fly List is a list, created and maintained by the United States government's Terrorist Screening Center, of people who are not permitted to

More information

Types, lists & functions

Types, lists & functions Week 2 Types, lists & functions Data types If you want to write a program that allows the user to input something, you can use the command input: name = input (" What is your name? ") print (" Hello "+

More information

Dictionaries. Upsorn Praphamontripong. CS 1111 Introduction to Programming Spring 2018

Dictionaries. Upsorn Praphamontripong. CS 1111 Introduction to Programming Spring 2018 Dictionaries Upsorn Praphamontripong CS 1111 Introduction to Programming Spring 2018 How do Computer Programs Fit in with the World Around Them? Thing (object type): Hotel Thing (object type): Car Thing

More information

Python in 10 (50) minutes

Python in 10 (50) minutes Python in 10 (50) minutes https://www.stavros.io/tutorials/python/ Python for Microcontrollers Getting started with MicroPython Donald Norris, McGrawHill (2017) Python is strongly typed (i.e. types are

More information

Python: Further Topics. Day Two

Python: Further Topics. Day Two Python: Further Topics Day Two Bruce Beckles University of Cambridge Computing Service 1 Note that this course covers Python 2.4 to 2.7, which are the most common versions currently in use it does NOT

More information

CHAPTER 2: Introduction to Python COMPUTER PROGRAMMING SKILLS

CHAPTER 2: Introduction to Python COMPUTER PROGRAMMING SKILLS CHAPTER 2: Introduction to Python COMPUTER PROGRAMMING SKILLS 1439-1440 1 Outline 1. Introduction 2. Why Python? 3. Compiler and Interpreter 4. The first program 5. Comments and Docstrings 6. Python Indentations

More information

Assigns a number to 110,000 letters/glyphs U+0041 is an A U+0062 is an a. U+00A9 is a copyright symbol U+0F03 is an

Assigns a number to 110,000 letters/glyphs U+0041 is an A U+0062 is an a. U+00A9 is a copyright symbol U+0F03 is an Unicode Unicode Assigns a number to 110,000 letters/glyphs U+0041 is an A U+0062 is an a UTF U+00A9 is a copyright symbol U+0F03 is an Universal Character Set Transformation Format describes how zeroes

More information

1. BASICS OF PYTHON. JHU Physics & Astronomy Python Workshop Lecturer: Mubdi Rahman

1. BASICS OF PYTHON. JHU Physics & Astronomy Python Workshop Lecturer: Mubdi Rahman 1. BASICS OF PYTHON JHU Physics & Astronomy Python Workshop 2017 Lecturer: Mubdi Rahman HOW IS THIS WORKSHOP GOING TO WORK? We will be going over all the basics you need to get started and get productive

More information

Python review. 1 Python basics. References. CS 234 Naomi Nishimura

Python review. 1 Python basics. References. CS 234 Naomi Nishimura Python review CS 234 Naomi Nishimura The sections below indicate Python material, the degree to which it will be used in the course, and various resources you can use to review the material. You are not

More information

REST. Web-based APIs

REST. Web-based APIs REST Web-based APIs REST Representational State Transfer Style of web software architecture that simplifies application Not a standard, but a design pattern REST Take all resources for web application

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Announcements Lab activites/lab exams submit regularly to autograder.cse.buffalo.edu Announcements Lab activites/lab exams submit regularly to autograder.cse.buffalo.edu

More information

Python 5. Dictionaries, Functions, numpy

Python 5. Dictionaries, Functions, numpy Python 5 Dictionaries, Functions, numpy 1 Goals (today) Dictionaries and tuples Functions: principles, definitions, argument passage numpy: presentation, useful functions Exercises 2 Project (2) Check

More information

L1/L2 NETWORK PROTOCOL TESTING

L1/L2 NETWORK PROTOCOL TESTING L1/L2 NETWORK PROTOCOL TESTING MODULE 1 : BASIC OF NETWORKING OSI Model TCP/IP Layers Service data unit & protocol data unit Protocols and standards Network What is network & Internet Network core circuit

More information

Final thoughts on functions F E B 2 5 T H

Final thoughts on functions F E B 2 5 T H Final thoughts on functions F E B 2 5 T H Ordering functions in your code Will the following code work? Here the function is defined after the main program that is calling it. print foo() def foo(): return

More information

Advanced Python. Executive Summary, Session 1

Advanced Python. Executive Summary, Session 1 Advanced Python Executive Summary, Session 1 OBJECT: a unit of data of a particular type with characteristic functionality (i.e., methods and/or use with operators). Everything in Python is an object.

More information

PYTHON DATA SCIENCE TOOLBOX II. List comprehensions

PYTHON DATA SCIENCE TOOLBOX II. List comprehensions PYTHON DATA SCIENCE TOOLBOX II List comprehensions Populate a list with a for loop In [1]: nums = [12, 8, 21, 3, 16] In [2]: new_nums = [] In [3]: for num in nums:...: new_nums.append(num + 1) In [4]:

More information

Collections. Michael Ernst CSE 190p University of Washington

Collections. Michael Ernst CSE 190p University of Washington Collections Michael Ernst CSE 190p University of Washington Needed for Homework 4 (social networking assignment) Collections: lists, sets, dictionaries Sorting Graphs Outline for today Collections (built-in

More information

CSE341: Programming Languages Lecture 11 Type Inference. Dan Grossman Spring 2016

CSE341: Programming Languages Lecture 11 Type Inference. Dan Grossman Spring 2016 CSE341: Programming Languages Lecture 11 Type Inference Dan Grossman Spring 2016 Type-checking (Static) type-checking can reject a program before it runs to prevent the possibility of some errors A feature

More information

Variable and Data Type I

Variable and Data Type I The Islamic University of Gaza Faculty of Engineering Dept. of Computer Engineering Intro. To Computers (LNGG 1003) Lab 2 Variable and Data Type I Eng. Ibraheem Lubbad February 18, 2017 Variable is reserved

More information

Outline. Collections Arrays vs. Lists Functions using Arrays/Lists Higher order functions using Arrays/Lists

Outline. Collections Arrays vs. Lists Functions using Arrays/Lists Higher order functions using Arrays/Lists Arrays and Lists Outline Collections Arrays vs. Lists Functions using Arrays/Lists Higher order functions using Arrays/Lists Collections We've seen tuples to store multiple objects together, but the tuple

More information

Object Oriented Programming in Python

Object Oriented Programming in Python Object Oriented Programming in Python 1 It s all objects What is object? data-type: string, list, dictionary,... object is defined as class in python What does object consist of? instance (variable) method

More information

ERTH 401 / GEOP 501 Computational Methods for Geoscientists. Lecture 04: Functions

ERTH 401 / GEOP 501 Computational Methods for Geoscientists. Lecture 04: Functions ERTH 401 / GEOP 501 Computational Methods for Geoscientists Lecture 04: Functions Ronni Grapenthin rg@nmt.edu MSEC 356 x5924 September 18, 2017 1 / 15 2 / 15 Wouldn t it be great if we could think up some

More information

YouTube API Wrapper Documentation

YouTube API Wrapper Documentation YouTube API Wrapper Documentation Release 0.1 Alessandro De Noia (Global Radio) June 09, 2016 Contents 1 Installation 3 1.1 Install the library............................................. 3 2 Basic usage

More information

List of lectures. Lecture content. Imperative Programming. TDDA69 Data and Program Structure Imperative Programming and Data Structures

List of lectures. Lecture content. Imperative Programming. TDDA69 Data and Program Structure Imperative Programming and Data Structures List of lectures TDDA69 Data and Program Structure Imperative Programming and Data Structures Cyrille Berger 1Introduction and Functional Programming 2Imperative Programming and Data Structures 3Parsing

More information

Download Python from Any version will do for this class

Download Python from  Any version will do for this class Let s Start Python Let s Start! Download Python from www.python.org Any version will do for this class By and large they are all mutually compatible Recommended version: 2.1.1 or 2.2 Oldest version still

More information

CME 193: Introduction to Scientific Python Lecture 4: Strings and File I/O

CME 193: Introduction to Scientific Python Lecture 4: Strings and File I/O CME 193: Introduction to Scientific Python Lecture 4: Strings and File I/O Nolan Skochdopole stanford.edu/class/cme193 4: Strings and File I/O 4-1 Contents Strings File I/O Classes Exercises 4: Strings

More information

Lecture 1. basic Python programs, defining functions

Lecture 1. basic Python programs, defining functions Lecture 1 basic Python programs, defining functions Lecture notes modified from CS Washington CS 142 Except where otherwise noted, this work is licensed under: http://creativecommons.org/licenses/by-nc-sa/3.0

More information

Python - Variable Types. John R. Woodward

Python - Variable Types. John R. Woodward Python - Variable Types John R. Woodward Variables 1. Variables are nothing but named reserved memory locations to store values. This means that when you create a variable you reserve some space in memory.

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Road map Review (sorting) Persisting data Databases Sorting Given a sequence of values that can be ordered, sorting involves rearranging these values so they

More information

Variable and Data Type I

Variable and Data Type I Islamic University Of Gaza Faculty of Engineering Computer Engineering Department Lab 2 Variable and Data Type I Eng. Ibraheem Lubbad September 24, 2016 Variable is reserved a location in memory to store

More information

Hacettepe University Computer Engineering Department. Programming in. BBM103 Introduction to Programming Lab 1 Week 7. Fall 2018

Hacettepe University Computer Engineering Department. Programming in. BBM103 Introduction to Programming Lab 1 Week 7. Fall 2018 Hacettepe University Computer Engineering Department Programming in BBM103 Introduction to Programming Lab 1 Week 7 Fall 2018 Collections A Collection Groups Similar Things List: ordered Set: unordered,

More information

CSE 115. Introduction to Computer Science I

CSE 115. Introduction to Computer Science I CSE 115 Introduction to Computer Science I Progress In UBInfinite? A. Haven't started B. Earned 3 stars in "Calling Functions" C. Earned 3 stars in "Defining Functions" D. Earned 3 stars in "Conditionals"

More information

Introduction to Python. Fang (Cherry) Liu Ph.D. Scien5fic Compu5ng Consultant PACE GATECH

Introduction to Python. Fang (Cherry) Liu Ph.D. Scien5fic Compu5ng Consultant PACE GATECH Introduction to Python Ph.D. Scien5fic Compu5ng Consultant PACE GATECH Things Covered What is Python? How to access Python environment? Fundamental elements in Python Variables (assignment, comparison,

More information

Abstract Data Types. CS 234, Fall Types, Data Types Abstraction Abstract Data Types Preconditions, Postconditions ADT Examples

Abstract Data Types. CS 234, Fall Types, Data Types Abstraction Abstract Data Types Preconditions, Postconditions ADT Examples Abstract Data Types CS 234, Fall 2017 Types, Data Types Abstraction Abstract Data Types Preconditions, Postconditions ADT Examples Data Types Data is stored in a computer as a sequence of binary digits:

More information

Relational Model, Key Constraints

Relational Model, Key Constraints Relational Model, Key Constraints PDBM 6.1 Dr. Chris Mayfield Department of Computer Science James Madison University Jan 23, 2019 What is a data model? Notation for describing data or information Structure

More information

Lecture 7. Scientific Computation

Lecture 7. Scientific Computation Lecture 7 Scientific Computation for-loops: Beyond Sequences Work on iterable objects Object with an ordered collection of data This includes sequences But also much more Examples: Text Files (built-in)

More information

Variable and Data Type 2

Variable and Data Type 2 The Islamic University of Gaza Faculty of Engineering Dept. of Computer Engineering Intro. To Computers (LNGG 1003) Lab 3 Variable and Data Type 2 Eng. Ibraheem Lubbad March 2, 2017 Python Lists: Lists

More information

Computational Integer Programming. Lecture 4: Python. Dr. Ted Ralphs

Computational Integer Programming. Lecture 4: Python. Dr. Ted Ralphs Computational Integer Programming Lecture 4: Python Dr. Ted Ralphs Computational MILP Lecture 4 1 Why Python? Pros As with many high-level languages, development in Python is quick and painless (relative

More information

Comp Exam 1 Overview.

Comp Exam 1 Overview. Comp 170-400 Exam 1 Overview. Resources During the Exam The exam will be closed book, no calculators or computers, except as a word processor. In particular no Python interpreter running in a browser or

More information

Programming Languages

Programming Languages CSE 130 : Fall 2008 Programming Languages Lecture 12: What s in a Name? Ranjit Jhala UC San Diego A crash course in Python Interpreted, imperative, OO Language g Everything is an object Dynamic Typing

More information

Sets and Dictionaries. Modules and File I/O

Sets and Dictionaries. Modules and File I/O Sets and Dictionaries Modules and File I/O get excited! CS 112 @ GMU Sets some allowed set values: numbers, strings, and tuples some disallowed set values: lists, dictionaries, other sets not allowed in

More information

Dictionaries, Text, Tuples

Dictionaries, Text, Tuples Dictionaries, Text, Tuples 4 We re Familiar with Lists [2, 3, 51, 0] [[ a, 151], [ z, 23], [ i, -42.3]] [2, BBC, KCRW, [ z, 23]] Lists enable us to store multiple values in one variable Lists are ordered,

More information

Chapter 8 SETS AND DICTIONARIES

Chapter 8 SETS AND DICTIONARIES Chapter 8 SETS AND DICTIONARIES Chapter Goals To build and use a set container To learn common set operations for processing data To build and use a dictionary container To work with a dictionary for table

More information

Overview of List Syntax

Overview of List Syntax Lists and Sequences Overview of List Syntax x = [0, 0, 0, 0] Create list of length 4 with all zeroes x 4300112 x.append(2) 3 in x x[2] = 5 x[0] = 4 k = 3 Append 2 to end of list x (now length 5) Evaluates

More information

CS Lecture 26: Grab Bag. Announcements

CS Lecture 26: Grab Bag. Announcements CS 1110 Lecture 26: Grab Bag Announcements The End is Nigh! 1. Next (last) lecture will be recap and final exam review 2. A5 due Wednesday night 3. Final exam 7pm Thursday May 15 in Barton Hall (East section)

More information

cosmos_python_ Python as calculator May 31, 2018

cosmos_python_ Python as calculator May 31, 2018 cosmos_python_2018 May 31, 2018 1 Python as calculator Note: To convert ipynb to pdf file, use command: ipython nbconvert cosmos_python_2015.ipynb --to latex --post pdf In [3]: 1 + 3 Out[3]: 4 In [4]:

More information

Python Tutorial. CSE 3461: Computer Networking

Python Tutorial. CSE 3461: Computer Networking Python Tutorial CSE 3461: Computer Networking 1 Outline Introduction to Python CSE Environment Tips for Python Primitive Types Tips for Encoding/Decoding an IP Address 2 Intro to Python Dynamically typed,

More information

COMP519 Web Programming Lecture 20: Python (Part 4) Handouts

COMP519 Web Programming Lecture 20: Python (Part 4) Handouts COMP519 Web Programming Lecture 20: Python (Part 4) Handouts Ullrich Hustadt Department of Computer Science School of Electrical Engineering, Electronics, and Computer Science University of Liverpool Contents

More information

Rapid Application Development with

Rapid Application Development with Rapid Application Development with Scripting: Higher Level Programming for the 21st Century (IEEE Computer, March 1998) http://home.pacbell.net/ouster/scripting.html python Scripting Languages vs. System

More information

DSC 201: Data Analysis & Visualization

DSC 201: Data Analysis & Visualization DSC 201: Data Analysis & Visualization Classes Dr. David Koop Tuple, List, Dictionary, or Set? [1,2,"abc"] 2 Tuple, List, Dictionary, or Set? {"a", 1, 2} 3 Tuple, List, Dictionary, or Set? {} 4 Tuple,

More information

Lab1. Introduction to Python. Lab 4: Selection Statement. Eng. Mai Z. Alyazji

Lab1. Introduction to Python. Lab 4: Selection Statement. Eng. Mai Z. Alyazji Islamic University of Gaza Faculty of Engineering Computer Engineering Dept. Introduction to Computers Lab (ENGG 1003) Lab1 Introduction to Python Lab 4: Selection Statement Eng. Mai Z. Alyazji In this

More information

Overloading. F21SC Industrial Programming: Python: Advanced Language Features. Overloading. Overloading arithmetic operations

Overloading. F21SC Industrial Programming: Python: Advanced Language Features. Overloading. Overloading arithmetic operations F21SC Industrial Programming: Python: Advanced Language Features Hans-Wolfgang Loidl School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh Semester 1 2015/16 0 No proprietary

More information

06/11/2014. Subjects. CS Applied Robotics Lab Gerardo Carmona :: makeroboticsprojects.com June / ) Beginning with Python

06/11/2014. Subjects. CS Applied Robotics Lab Gerardo Carmona :: makeroboticsprojects.com June / ) Beginning with Python CS95003 - Applied Robotics Lab Gerardo Carmona :: makeroboticsprojects.com June / 2014 Subjects 1) Beginning with Python 2) Variables 3) Strings 4) Basic arithmetic operators 5) Flow control 6) Comparison

More information

Python Evaluation Rules

Python Evaluation Rules Python Evaluation Rules UW CSE 160 https://courses.cs.washington.edu/courses/cse160/15sp/ Michael Ernst and Isaac Reynolds mernst@cs.washington.edu April 1, 2015 Contents 1 Introduction 2 1.1 The Structure

More information