debugging, hexadecimals, tuples
|
|
- Annabel Barnett
- 5 years ago
- Views:
Transcription
1 debugging, hexadecimals, tuples Matt Valeriote 28 January 2019
2 Searching for/asking for help Searching for help Google (or your search engine of choice) be as specific as possible Asking for help reproducible/minimal workable examples paste code rather than screenshots whenever possible right amount of context (sometimes hard to guess) how to ask (StackOverflow, Eric Raymond s advice what are you trying to do? where have you looked? what have you tried? lmgtfy (let me google that for you) browse/lurk in forums/stackoverflow first! tone
3 Testing Simplify, simplify, simplify Reduce the size of your problem Cases with easy/known answers Corner and edge cases Random tests (fuzz testing) Automatic testing framework: nose, (doctest) built-in Python package more on this later... Test-driven development: write tests first! Additional resources python-debugging-tips Debugging.html
4 Modules Collections of functions you might want to use. importing import refer to functions via module prefix import VeryLongModuleName as vlmn: use abbreviation can import just one or two functions: from math import sqrt, log can import everything (but usually don t): from <module> import * can import your own modules (i.e., functions in a.py file) if a file is run directly from the IDE or command line, then Python assigns the value " main " to the variable name associated with the file. Otherwise, it assigns the name of the file to name.
5 finding out about modules help("modulename") official modules list of useful modules some modules we will definitely be using: math: basic math functions matplotlib: drawing pictures random: picking random numbers numpy: numerical computation in general (e.g. linear alg and calculus) pandas: data analysis slightly less useful but maybe using: nose: code testing framework scipy: even more scientific computing tools cmath: math functions handling complex numbers re: regular expressions sympy: symbolic computation timeit: how long does my code take?
6 Functions calling functions You can pass anything to a function as an argument (even a function!) def repeat_fun(f,startval,n): """Given a function f and a starting value startval, apply the function n times (each time using the previou result as input """ y = startval for i in range(n): y=f(y) return(y) def sqr(x): return(x*x) repeat_fun(sqr,3,3)
7 Scope Where does Python look for things? What happens here? def add_z(x): # in this function, x and y are local # variables and z is global print("x = ", x) print("z =", z) y = x + z return(y) # z is a global variable z = 1 print(add_z(z)) ## x = 1 ## z = 1 ## 2
8 def add_z(x): # in this function, x, y, and z are local variables print("local x =",x) z = 3 print("local z =", z) y = x + z return(y) # z is a global variable z = 1 print(add_z(z)) print("global z = ", z) ## local x = 1 ## local z = 3 ## 4 ## global z = 1
9 LEGB (Local, Enclosing, Global, Built-in) Local: symbols defined in the function, and arguments Enclosing: symbols defined in the function within which this function was defined Global: elsewhere in the file/module Built-in: Python keywords
10 Hexadecimal/Decimal conversion The hexadecimal (or base 16) numeral system uses sixteen distinct digits to represent integers. The digits used are: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, a, b, c, d, e, f. The decimal value of the digit a is 10, b is 11, etc. The hexadecimal number 2c is equal to = 44. Similarly, 2be13 is equal to since = The number in hexadecimal is f This can be verified by expanding f 9190 as , which is equal to
11 Problem: Produce some python code that takes as input from the console two strings that represent numbers in the hexadecimal system. The program should should print out the representations of these numbers in base 10, and also print a string that represents the sum of these numbers in hexadecimal.
12 High level description of the algorithm 1. Input the two strings from the console. 2. Convert each string into a base 10 number. 3. Print out these two numbers. 4. Convert the sum of these two numbers into hexadecimal. 5. Print out this hexadecimal number. For Step 1, use the input() function. Create a function get_hex_string() that gets a string from the console that represents a hexadecimal number and returns that string. Should it check to see if it is a legal string, i.e., only uses 0 9, and a f?
13 convert hexadecimal into decimal if an integer is represented in hexadecimal by the string word = h n 1 h n 2... h 1 h 0, then it is equal to the number: h n 1 16 n 1 + h n 2 16 n h So to convert word into decimal, we can iterate over each digit in word to produce the required value. Note that the jth term in the above sum is equal to h n j 1 16 n j 1, with j = 0,..., n 1 and that the digit h n j is just word[j]. Next Step: Create a function hex_to_decimal(hex_string) that has a string argument hex_string that returns the value of the integer this string represents in hexadecimal.
14 convert to hexadecimal To find the hexadecimal digits h k h k 1... h 1 h 0 of the non-negatve integer num we use // and %. h0 = num % 16 h1 = (num// 16) % 16, h 2 = (num// 16 2 ) % 16,... h i = (num// 16 i ) % 16. Q: How many hexadecimal digits need to be computed? A: When num//(16 i ) = 0. Next Step: Produce a function decimal_to_hex(num) that computes the hexadecimal representation of the int num and returns this as a string. To finish, use these functions to produce the final result.
15 Tuples simple; non-mutable version of lists faster, safer can be expressed as x, y, z (or (x,y,z), probably clearer) empty tuple: () tuple with one element: (x,) can do many of the same things as with lists you can t modify the existing tuple at all (deletion, modification) unpacking: x,y,z = t swapping: (a,b) = (b,a) useful as the return value of functions; safe, and can be unpacked convert to/from lists (tuple(), list())
16 x = (1,4,"a",3) print(x[1]) ## indexing print(x[2:]) ## slicing print(x+(3,)) ## appending print(x[:2] + (3,) + x[2:]) ## insertion in the middle print(x.index(4)) ## indexing print("z" in x) ## looking for stuff print(x.count(4)) ## count ## 4 ## ('a', 3) ## (1, 4, 'a', 3, 3) ## (1, 4, 3, 'a', 3) ## 1 ## False ## 1
17 x = (1,2,3) def modify(x): y = list(x) y[0] = "a" return(tuple(y)) print(modify(x)) print(x) ## ('a', 2, 3) ## (1, 2, 3)
Exam 1 Format, Concepts, What you should be able to do, and Sample Problems
CSSE 120 Introduction to Software Development Exam 1 Format, Concepts, What you should be able to do, and Sample Problems Page 1 of 6 Format: The exam will have two sections: Part 1: Paper-and-Pencil o
More informationfunctions, modules, debugging
functions, modules, debugging Matt Valeriote 21 January, 2019 Continuation of coin counting example Before coding up a solution, first describe it at a high level and then refine it: Initialization phase
More informationReview Sheet for Midterm #1 COMPSCI 119 Professor William T. Verts
Review Sheet for Midterm #1 COMPSCI 119 Professor William T. Verts Simple Data Types There are a number of data types that are considered primitive in that they contain only a single value. These data
More informationFunctions, Scope & Arguments. HORT Lecture 12 Instructor: Kranthi Varala
Functions, Scope & Arguments HORT 59000 Lecture 12 Instructor: Kranthi Varala Functions Functions are logical groupings of statements to achieve a task. For example, a function to calculate the average
More informationWorksheet 6: Basic Methods Methods The Format Method Formatting Floats Formatting Different Types Formatting Keywords
Worksheet 1: Introductory Exercises Turtle Programming Calculations The Print Function Comments Syntax Semantics Strings Concatenation Quotation Marks Types Variables Restrictions on Variable Names Long
More informationFunctions. Lecture 6 COP 3014 Spring February 11, 2018
Functions Lecture 6 COP 3014 Spring 2018 February 11, 2018 Functions A function is a reusable portion of a program, sometimes called a procedure or subroutine. Like a mini-program (or subprogram) in its
More informationCME 193: Introduction to Scientific Python Lecture 1: Introduction
CME 193: Introduction to Scientific Python Lecture 1: Introduction Nolan Skochdopole stanford.edu/class/cme193 1: Introduction 1-1 Contents Administration Introduction Basics Variables Control statements
More informationIntroduction to Python (All the Basic Stuff)
Introduction to Python (All the Basic Stuff) 1 Learning Objectives Python program development Command line, IDEs, file editing Language fundamentals Types & variables Expressions I/O Control flow Functions
More informationGE PROBLEM SOVING AND PYTHON PROGRAMMING. Question Bank UNIT 1 - ALGORITHMIC PROBLEM SOLVING
GE8151 - PROBLEM SOVING AND PYTHON PROGRAMMING Question Bank UNIT 1 - ALGORITHMIC PROBLEM SOLVING 1) Define Computer 2) Define algorithm 3) What are the two phases in algorithmic problem solving? 4) Why
More informationARTIFICIAL INTELLIGENCE AND PYTHON
ARTIFICIAL INTELLIGENCE AND PYTHON DAY 1 STANLEY LIANG, LASSONDE SCHOOL OF ENGINEERING, YORK UNIVERSITY WHAT IS PYTHON An interpreted high-level programming language for general-purpose programming. Python
More informationIntermediate/Advanced Python. Michael Weinstein (Day 2)
Intermediate/Advanced Python Michael Weinstein (Day 2) Topics Review of basic data structures Accessing and working with objects in python Numpy How python actually stores data in memory Why numpy can
More informationFast numerics in Python - NumPy and PyPy
Fast numerics in Python - NumPy and Maciej Fijałkowski SEA, NCAR 22 February 2012 What is this talk about? What is and why? Numeric landscape in Python What we achieved in Where we re going? What is? An
More informationA lot of people make repeated mistakes of not calling their functions and getting errors. Make sure you're calling your functions.
Handout 2 Functions, Lists, For Loops and Tuples [ ] Functions -- parameters/arguments, "calling" functions, return values, etc. Please make sure you understand this example: def square(x): return x *
More informationpython 01 September 16, 2016
python 01 September 16, 2016 1 Introduction to Python adapted from Steve Phelps lectures - (http://sphelps.net) 2 Python is interpreted Python is an interpreted language (Java and C are not). In [1]: 7
More informationCSC 148 Lecture 3. Dynamic Typing, Scoping, and Namespaces. Recursion
CSC 148 Lecture 3 Dynamic Typing, Scoping, and Namespaces Recursion Announcements Python Ramp Up Session Monday June 1st, 1 5pm. BA3195 This will be a more detailed introduction to the Python language
More informationLessons on Python Functions
Lessons on Python Functions Walter Didimo [ 90 minutes ] Functions When you write a program, you may need to recall a certain block of instructions several times throughout your code A function is a block
More informationThere are four numeric types: 1. Integers, represented as a 32 bit (or longer) quantity. Digits sequences (possibly) signed are integer literals:
Numeric Types There are four numeric types: 1. Integers, represented as a 32 bit (or longer) quantity. Digits sequences (possibly) signed are integer literals: 1-123 +456 2. Long integers, of unlimited
More information: Intro Programming for Scientists and Engineers Final Exam
Final Exam Page 1 of 6 600.112: Intro Programming for Scientists and Engineers Final Exam Peter H. Fröhlich phf@cs.jhu.edu December 20, 2012 Time: 40 Minutes Start here: Please fill in the following important
More informationIntroduction 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 informationMath 1MP3, final exam
Math 1MP3, final exam 23 April 2015 Please write your name and student number on this test and on your answer sheet You have 120 minutes No external aids (calculator, textbook, notes) Please number your
More informationPYTHON NUMPY TUTORIAL CIS 581
PYTHON NUMPY TUTORIAL CIS 581 VARIABLES AND SPYDER WORKSPACE Spyder is a Python IDE that s a part of the Anaconda distribution. Spyder has a Python console useful to run commands quickly and variables
More informationIntro. Scheme Basics. scm> 5 5. scm>
Intro Let s take some time to talk about LISP. It stands for LISt Processing a way of coding using only lists! It sounds pretty radical, and it is. There are lots of cool things to know about LISP; if
More information2. Explain the difference between read(), readline(), and readlines(). Give an example of when you might use each.
CMSC 0 Fall 0 Name Final Review Worksheet This worksheet is NOT guaranteed to cover every topic you might see on the exam. It is provided to you as a courtesy, as additional practice problems to help you
More informationProblem Solving for Intro to Computer Science
Problem Solving for Intro to Computer Science The purpose of this document is to review some principles for problem solving that are relevant to Intro to Computer Science course. Introduction: A Sample
More informationThe Python interpreter
The Python interpreter Daniel Winklehner, Remi Lehe US Particle Accelerator School (USPAS) Summer Session Self-Consistent Simulations of Beam and Plasma Systems S. M. Lund, J.-L. Vay, D. Bruhwiler, R.
More informationIntroduction to Scientific Computing with Python, part two.
Introduction to Scientific Computing with Python, part two. M. Emmett Department of Mathematics University of North Carolina at Chapel Hill June 20 2012 The Zen of Python zen of python... fire up python
More informationAlgorithms and Programming
Algorithms and Programming Lecture 2 Procedural Programming Camelia Chira Last time Programming process What is programming? Basic elements of Python Python programs Data types: string, number Variables
More informationIntro to Programming. Unit 7. What is Programming? What is Programming? Intro to Programming
Intro to Programming Unit 7 Intro to Programming 1 What is Programming? 1. Programming Languages 2. Markup vs. Programming 1. Introduction 2. Print Statement 3. Strings 4. Types and Values 5. Math Externals
More informationPHY224 Practical Physics I Python Review Lecture 1 Sept , 2013
PHY224 Practical Physics I Python Review Lecture 1 Sept. 16-17, 2013 Summary Python objects Lists and arrays Input (raw_input) and output Control Structures: iterations References M H. Goldwasser, D. Letscher:
More informationPython Working with files. May 4, 2017
Python Working with files May 4, 2017 So far, everything we have done in Python was using in-memory operations. After closing the Python interpreter or after the script was done, all our input and output
More informationIntroductory Scientific Computing with Python
Introductory Scientific Computing with Python More plotting, lists and FOSSEE Department of Aerospace Engineering IIT Bombay SciPy India, 2015 December, 2015 FOSSEE (FOSSEE IITB) Interactive Plotting 1
More informationPython Tutorial. CS/CME/BioE/Biophys/BMI 279 Oct. 17, 2017 Rishi Bedi
Python Tutorial CS/CME/BioE/Biophys/BMI 279 Oct. 17, 2017 Rishi Bedi 1 Python2 vs Python3 Python syntax Data structures Functions Debugging Classes The NumPy Library Outline 2 Many examples adapted from
More informationage = 23 age = age + 1 data types Integers Floating-point numbers Strings Booleans loosely typed age = In my 20s
Intro to Python Python Getting increasingly more common Designed to have intuitive and lightweight syntax In this class, we will be using Python 3.x Python 2.x is still very popular, and the differences
More information1. 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 informationAnnouncements. Lecture Agenda. Class Exercise. Hashable. Mutability. COMP10001 Foundations of Computing Iteration
COMP10001 Foundations of Computing Iteration Announcements Semester 1, 2017 Tim Baldwin & Egemen Tanin First Guest Lecture on Friday (examinable) Grok Worksheets 5 7 due at the end of this week version:
More informationintroduction (week 1)
introduction (week 1) Matt Valeriote 7 January, 2019 Introduction Administrative trivia Introduction Administrative trivia Instructor: Matt Valeriote Introduction Administrative trivia Instructor: Matt
More informationNumerical Methods. Centre for Mathematical Sciences Lund University. Spring 2015
Numerical Methods Claus Führer Alexandros Sopasakis Centre for Mathematical Sciences Lund University Spring 2015 Preface These notes serve as a skeleton for the course. They document together with the
More informationMUTABLE 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 informationLecture 7. Memory in Python
Lecture 7 Memory in Python Announcements For This Lecture Readings Reread Chapter 3 No reading for Thursday Lab Work on Assignment Credit when submit A Nothing else to do Assignment Moved to Fri, Sep.
More informationProblem 1 (a): List Operations
Problem 1 (a): List Operations Task 1: Create a list, L1 = [1, 2, 3,.. N] Suppose we want the list to have the elements 1, 2, 10 range(n) creates the list from 0 to N-1 But we want the list to start from
More information\n is used in a string to indicate the newline character. An expression produces data. The simplest expression
Chapter 1 Summary Comments are indicated by a hash sign # (also known as the pound or number sign). Text to the right of the hash sign is ignored. (But, hash loses its special meaning if it is part of
More informationArbitrary Precision and Symbolic Calculations
Arbitrary Precision and Symbolic Calculations K. 1 1 Department of Mathematics 2018 Sympy There are several packages for Python that do symbolic mathematics. The most prominent of these seems to be Sympy.
More informationENGR 102 Engineering Lab I - Computation
ENGR 102 Engineering Lab I - Computation Learning Objectives by Week 1 ENGR 102 Engineering Lab I Computation 2 Credits 2. Introduction to the design and development of computer applications for engineers;
More informationStep by step guide to two-factor authentication in MYOB Advanced
Step by step guide to two-factor authentication in MYOB Advanced September 2018 Version no. 1.0 Table of Contents Introduction... 3 Registration... 4 Standard registration process... 4 Two-factor authentication
More informationReview 4. Lists and Sequences
Review 4 Lists and Sequences Overview of List Syntax x = [0, 0, 0, 0] x.append(2) 3 in x x[2] = 5 x[0] = 4 k = 3 x[k] = 2 * x[0] x[k 2] = 6 Create list of length 4 with all zeroes Append 2 to end of list
More informationGet It Interpreter Scripts Arrays. Basic Python. K. Cooper 1. 1 Department of Mathematics. Washington State University. Basics
Basic Python K. 1 1 Department of Mathematics 2018 Python Guido van Rossum 1994 Original Python was developed to version 2.7 2010 2.7 continues to receive maintenance New Python 3.x 2008 The 3.x version
More informationCS1 Lecture 11 Feb. 9, 2018
CS1 Lecture 11 Feb. 9, 2018 HW3 due Monday morning, 9:00am for #1 I don t care if you use 1, 2, or 3 loops. Most important is clear correct code for #3, make sure all legal situations are handled. Think
More informationPart III Appendices 165
Part III Appendices 165 Appendix A Technical Instructions Learning Outcomes This material will help you learn how to use the software you need to do your work in this course. You won t be tested on it.
More informationIntroduction to Programming in C Department of Computer Science and Engineering. Lecture No. #34. Function with pointer Argument
Introduction to Programming in C Department of Computer Science and Engineering Lecture No. #34 Function with pointer Argument (Refer Slide Time: 00:05) So, here is the stuff that we have seen about pointers.
More informationCS150 Sample Final. Name: Section: A / B
CS150 Sample Final Name: Section: A / B Date: Start time: End time: Honor Code: Signature: This exam is closed book, closed notes, closed computer, closed calculator, etc. You may only use (1) the final
More informationCourse Outline - COMP150. Lectures and Labs
Course Outline - COMP150 Lectures and Labs 1 The way of the program 1.1 The Python programming language 1.2 What is a program? 1.3 What is debugging? 1.4 Experimental debugging 1.5 Formal and natural languages
More information4. Modules and Functions
4. Modules and Functions The Usual Idea of a Function Topics Modules Using import Using functions from math A first look at defining functions sqrt 9 3 A factory that has inputs and builds outputs. Why
More informationLanguage Basics. /* The NUMBER GAME - User tries to guess a number between 1 and 10 */ /* Generate a random number between 1 and 10 */
Overview Language Basics This chapter describes the basic elements of Rexx. It discusses the simple components that make up the language. These include script structure, elements of the language, operators,
More informationRecall that strings and tuples are immutable datatypes, while lists are mutable datatypes. What does this mean?
6.189 Day 4 Readings How To Think Like A Computer Scientist, chapters 7 and 8 6.01 Fall 2009 Course Notes page 27-29 ( Lists and Iterations over lists ; List Comprehensions is optional); sections 3.2-3.4
More informationOverview 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 informationCourse May 18, Advanced Computational Physics. Course Hartmut Ruhl, LMU, Munich. People involved. SP in Python: 3 basic points
May 18, 2017 3 I/O 3 I/O 3 I/O 3 ASC, room A 238, phone 089-21804210, email hartmut.ruhl@lmu.de Patrick Böhl, ASC, room A205, phone 089-21804640, email patrick.boehl@physik.uni-muenchen.de. I/O Scientific
More informationChapter 1 Summary. Chapter 2 Summary. end of a string, in which case the string can span multiple lines.
Chapter 1 Summary Comments are indicated by a hash sign # (also known as the pound or number sign). Text to the right of the hash sign is ignored. (But, hash loses its special meaning if it is part of
More informationIndex. object lifetimes, and ownership, use after change by an alias errors, use after drop errors, BTreeMap, 309
A Arithmetic operation floating-point arithmetic, 11 12 integer numbers, 9 11 Arrays, 97 copying, 59 60 creation, 48 elements, 48 empty arrays and vectors, 57 58 executable program, 49 expressions, 48
More informationLab 4 Fruitful Functions
Lab 4 Fruitful Functions September 19, 2018 1 ME 30 Lab 4 - Functions and Style Description and Summary: >A function in programming is a block of code that performs some task. Functions are a way to organize
More informationSolution sheet 1. Introduction. Exercise 1 - Types of values. Exercise 2 - Constructors
Solution sheet 1 Introduction Please note that there can be other solutions than those listed in this document. This is a literate Haskell file which is available as PDF, as well as literate Haskell source
More informationTopic 7: Lists, Dictionaries and Strings
Topic 7: Lists, Dictionaries and Strings The human animal differs from the lesser primates in his passion for lists of Ten Best H. Allen Smith 1 Textbook Strongly Recommended Exercises The Python Workbook:
More informationCh.1 Introduction. Why Machine Learning (ML)?
Syllabus, prerequisites Ch.1 Introduction Notation: Means pencil-and-paper QUIZ Means coding QUIZ Why Machine Learning (ML)? Two problems with conventional if - else decision systems: brittleness: The
More informationFlow Control: Branches and loops
Flow Control: Branches and loops In this context flow control refers to controlling the flow of the execution of your program that is, which instructions will get carried out and in what order. In the
More informationCS 1110 Prelim 1 October 4th, 2012
CS 1110 Prelim 1 October 4th, 01 This 90-minute exam has 6 questions worth a total of 100 points. Scan the whole test before starting. Budget your time wisely. Use the back of the pages if you need more
More informationVARIABLES AND TYPES CITS1001
VARIABLES AND TYPES CITS1001 Scope of this lecture Types in Java the eight primitive types the unlimited number of object types Values and References The Golden Rule Primitive types Every piece of data
More informationLecture #11: Immutable and Mutable Data. Last modified: Sun Feb 19 17:03: CS61A: Lecture #11 1
Lecture #11: Immutable and Mutable Data Last modified: Sun Feb 19 17:03:49 2017 CS61A: Lecture #11 1 Building Recursive Structures In Lecture #9, we defined map rlist and filter rlist: def map rlist(f,
More informationPython Programming. Introduction Part II
Python Programming Introduction Part II Type Conversion One data type > another data type Example: int > float, int > string. >>> a = 5.5 >>> b = int(a) >>> print(b) 5 >>>> print(a) 5.5 Conversion from
More informationScientific Computing: Lecture 1
Scientific Computing: Lecture 1 Introduction to course, syllabus, software Getting started Enthought Canopy, TextWrangler editor, python environment, ipython, unix shell Data structures in Python Integers,
More informationPython Crash Course Numpy, Scipy, Matplotlib
Python Crash Course Numpy, Scipy, Matplotlib That is what learning is. You suddenly understand something you ve understood all your life, but in a new way. Doris Lessing Steffen Brinkmann Max-Planck-Institut
More informationCompound Data Types 2
Compound Data Types 2 Chapters 10, 11, 12 Prof. Mauro Gaspari: gaspari@cs.unibo.it Objects and Values We know that a and b both refer to a string, but we don t know whether they refer to the same string.
More informationPython lab session 1
Python lab session 1 Dr Ben Dudson, Department of Physics, University of York 28th January 2011 Python labs Before we can start using Python, first make sure: ˆ You can log into a computer using your username
More informationCS61A Lecture 16. Amir Kamil UC Berkeley February 27, 2013
CS61A Lecture 16 Amir Kamil UC Berkeley February 27, 2013 Announcements HW5 due tonight Trends project due on Tuesday Partners are required; find one in lab or on Piazza Will not work in IDLE New bug submission
More informationIntroduction to Haskell
Introduction to Haskell Matt Mullins Texas A&M Computing Society October 6, 2009 Matt Mullins (TACS) Introduction to Haskell October 6, 2009 1 / 39 Outline Introduction to Haskell Functional Programming
More informationCS61A Lecture 16. Amir Kamil UC Berkeley February 27, 2013
CS61A Lecture 16 Amir Kamil UC Berkeley February 27, 2013 Announcements HW5 due tonight Trends project due on Tuesday Partners are required; find one in lab or on Piazza Will not work in IDLE New bug submission
More informationLISTS WITH PYTHON. José M. Garrido Department of Computer Science. May College of Computing and Software Engineering Kennesaw State University
LISTS WITH PYTHON José M. Garrido Department of Computer Science May 2015 College of Computing and Software Engineering Kennesaw State University c 2015, J. M. Garrido Lists with Python 2 Lists with Python
More informationCIS192: Python Programming
CIS192: Python Programming Introduction Harry Smith University of Pennsylvania January 18, 2017 Harry Smith (University of Pennsylvania) CIS 192 Lecture 1 January 18, 2017 1 / 34 Outline 1 Logistics Rooms
More informationCS1 Lecture 12 Feb. 11, 2019
CS1 Lecture 12 Feb. 11, 2019 HW4 available tomorrow, due next Wed. Discussion sections this week will be closely tied to one of the homework problems. Exam 1, Thursday evening, 2/21, 6:30-8:00pm HW2 scores
More informationCSC 120 Computer Science for the Sciences. Week 1 Lecture 2. UofT St. George January 11, 2016
CSC 120 Computer Science for the Sciences Week 1 Lecture 2 UofT St. George January 11, 2016 Introduction to Python & Foundations of computer Programming Variables, DataTypes, Arithmetic Expressions Functions
More informationCMPT 120 Lists and Strings. Summer 2012 Instructor: Hassan Khosravi
CMPT 120 Lists and Strings Summer 2012 Instructor: Hassan Khosravi All of the variables that we have used have held a single item One integer, floating point value, or string often you find that you want
More informationPYTHON FOR MEDICAL PHYSICISTS. Radiation Oncology Medical Physics Cancer Care Services, Royal Brisbane & Women s Hospital
PYTHON FOR MEDICAL PHYSICISTS Radiation Oncology Medical Physics Cancer Care Services, Royal Brisbane & Women s Hospital TUTORIAL 1: INTRODUCTION Thursday 1 st October, 2015 AGENDA 1. Reference list 2.
More informationDEBUGGING TIPS. 1 Introduction COMPUTER SCIENCE 61A
DEBUGGING TIPS COMPUTER SCIENCE 61A 1 Introduction Every time a function is called, Python creates what is called a stack frame for that specific function to hold local variables and other information.
More informationIntroduction to Python! Lecture 2
.. Introduction to Python Lecture 2 Summary Summary: Lists Sets Tuples Variables while loop for loop Functions Names and values Passing parameters to functions Lists Characteristics of the Python lists
More informationENGR 102 Engineering Lab I - Computation
ENGR 102 Engineering Lab I - Computation Week 03: Data Types and Console Input / Output Introduction to Types As we have already seen, 1 computers store numbers in a binary sequence of bits. The organization
More informationTeaching London Computing
Teaching London Computing A Level Computer Science Topic 3: Advanced Programming in Python William Marsh School of Electronic Engineering and Computer Science Queen Mary University of London Aims Further
More informationpandas: Rich Data Analysis Tools for Quant Finance
pandas: Rich Data Analysis Tools for Quant Finance Wes McKinney April 24, 2012, QWAFAFEW Boston about me MIT 07 AQR Capital: 2007-2010 Global Macro and Credit Research WES MCKINNEY pandas: 2008 - Present
More informationSequence types. str and bytes are sequence types Sequence types have several operations defined for them. Sequence Types. Python
Python Sequence Types Sequence types str and bytes are sequence types Sequence types have several operations defined for them Indexing Python Sequence Types Each element in a sequence can be extracted
More informationControl Structures 1 / 17
Control Structures 1 / 17 Structured Programming Any algorithm can be expressed by: Sequence - one statement after another Selection - conditional execution (not conditional jumping) Repetition - loops
More informationCDO-1 Certificate Program: Foundations for Chief Data Officers. Data Wrangling Lab. David /WEI DAI. Sept 26-29, 2016 (c)
CDO-1 Certificate Program: Foundations for Chief Data Officers Data Wrangling Lab David /WEI DAI Sept 26-29, 2016 (c) 2016 icdo@ualr 1 Agenda Basic Python Program MongoDB Lab Clean Data Lab Sept 26-29,
More informationCIS192 Python Programming
CIS192 Python Programming Functional Programming Eric Kutschera University of Pennsylvania January 30, 2015 Eric Kutschera (University of Pennsylvania) CIS 192 January 30, 2015 1 / 31 Questions Homework
More informationENGR (Socolofsky) Week 07 Python scripts
ENGR 102-213 (Socolofsky) Week 07 Python scripts A couple programming examples for this week are embedded in the lecture notes for Week 7. We repeat these here as brief examples of typical array-like operations
More informationIteration. # a and b are now equal # a and b are no longer equal Multiple assignment
Iteration 6.1. Multiple assignment As you may have discovered, it is legal to make more than one assignment to the same variable. A new assignment makes an existing variable refer to a new value (and stop
More informationTest #2 October 8, 2015
CPSC 1040 Name: Test #2 October 8, 2015 Closed notes, closed laptop, calculators OK. Please use a pencil. 100 points, 5 point bonus. Maximum score 105. Weight of each section in parentheses. If you need
More informationSequences 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 informationIntroduction to Scientific Python, CME 193 Jan. 9, web.stanford.edu/~ermartin/teaching/cme193-winter15
1 LECTURE 1: INTRO Introduction to Scientific Python, CME 193 Jan. 9, 2014 web.stanford.edu/~ermartin/teaching/cme193-winter15 Eileen Martin Some slides are from Sven Schmit s Fall 14 slides 2 Course Details
More informationFinal Exam(sample), Fall, 2014
Final Exam(sample), Fall, 2014 Date: Dec 4 th, 2014 Time: 1.25 hours (1.00 a.m. 2:15 p.m.) Total: 100 points + 20 bonus Problem 1 T/F 2 Choice 3 Output Points 16 16 48 4 Programming 20 5 Bonus 20 Total
More informationChapter Five: Functions
Chapter Five: Functions Chapter Goals To be able to implement functions To become familiar with the concept of parameter passing To develop strategies for decomposing complex tasks into simpler ones To
More informationUsing Scala in CS241
Using Scala in CS241 Winter 2018 Contents 1 Purpose 1 2 Scala 1 3 Basic Syntax 2 4 Tuples, Arrays, Lists and Vectors in Scala 3 5 Binary output in Scala 5 6 Maps 5 7 Option types 5 8 Objects and Classes
More information6.S189 Homework 2. What to turn in. Exercise 3.1 Defining A Function. Exercise 3.2 Math Module.
6.S189 Homework 2 http://web.mit.edu/6.s189/www/materials.html What to turn in Checkoffs 3, 4 and 5 are due by 5 PM on Monday, January 15th. Checkoff 3 is over Exercises 3.1-3.2, Checkoff 4 is over Exercises
More informationDECOMPOSITION, ABSTRACTION, FUNCTIONS
DECOMPOSITION, ABSTRACTION, FUNCTIONS (download slides and.py files follow along!) 6.0001 LECTURE 4 6.0001 LECTURE 4 1 LAST TIME while loops vs for loops should know how to write both kinds should know
More informationPROGRAMMING IN HASKELL. Chapter 2 - First Steps
PROGRAMMING IN HASKELL Chapter 2 - First Steps 0 The Hugs System Hugs is an implementation of Haskell 98, and is the most widely used Haskell system; The interactive nature of Hugs makes it well suited
More information