λΆλ₯ μ 체보기 (285) μΈλ€μΌν 리μ€νΈν Trees Sequence Aggregation Iterable : an object capable of returning its members one at a time several built-in functions take iterable arguments and aggregation them into a value : - sum ( iterable [, start] ) -> value - max ( iterable [, key = func ] ) -> value or max -> value More sequence aggregation - bool ( any_value ) -> bool : take in any value (not only iterables) and returns True if the valu.. eating well β‘Μ μ§μ§ μλ¨Ήκ³ λ€λλ μμ¦ ,,, νκ΅μμλ μ λ λ μμ£Ό κ±°λ₯΄λ λμΈλ° μ¬κΈ°μμλ μΌμμΈλΌ + κ°μκΉμ§ κΌ¬λ°κΌ¬λ° μ±κ²¨λ¨Ήλλ€ ν€ν€ μ€λμ cs61aμμ μ΄ λλκ³ κ°μ΄ μμ λ£λ νκ΅μΈλΆμ΄λ νλ―ΌμΈλλ λ―ΈλμΈλλ κ°μ΄ μ μ¬μ λ¨ΉμΌλ¬ κ°λ€. μ΄ λΆ μ¬μ΄λμμ΄ λ²ν΄λ¦¬μ λ€λλ€κ³ νλλ° κ·Έ μ¬μ΄λμμ΄ μΆμ²ν΄μ€ λ§μ§μΌλ‘ κ°λ€. μ¬μ€ UCBμμ κ°κΉμ΄ μλ κ³³ μΈμ€ μμλλ° berkeley downtownμ μλ μλΉμ΄μλ€. κ·Έλμ λ§μ§λ§ μμ μ΄ μμλ SODA hallμμ ν 30λΆ κ±Έμλ κ² κ°λ€. λλ Noodles _ flat rice, Japanese, Chickenμ λ¨Ήμλ€ : ) μ£Όλ¬Έμ νλ©΄ μ΄λ κ² λ²νΈλ₯Ό μ€λ€ ! μ΄λΈλΈ λ§μλ μμ¬ ! μ§μ§ λ§μμλ€ γ γ γ λλ μΌμμΌλ λ¨Ήμλ λ―Έμλ νκ΅μμλ³΄λ€ μ΄κ² ν¨.. to the postoffice μλ μ΄μ νΈμ§λ₯Ό λΆμ΄λ €κ³ νλλ° μ μλ 11μλΆν° 5μλ°κΉμ§ μμ μ΄ μ°κ°μ΄λΌμ μ€λ μμ°μΈλλ νμ΄νν λ³΄λΌ μ½μλ₯Ό λΆμ΄λ¬ μλ€ ΰ· λ΄κ° μ¬λ david blackwell μμ κ°μ₯ κ°κΉμ΄ μ°μ²΄κ΅μ κ²μνλλ bank of america λ°λ‘ μμ μλ μ°μ²΄κ΅μ΄ λμλ€. κ·Έλμ κ±°κΈ°λ‘ κ°λ€. κ±΄λ¬Όμ΄ λκ² λ‘μλ€. μλλ λ΄λΆ μ¬μ§λ μ°μΌλ €κ³ νλλ° μ νν μ 보μΈμ§λ λͺ¨λ₯΄κ² μ§λ§ λ΄λΆλ₯Ό μ°μΌλ©΄ μλλ€λ λ§μ λ³Έ μ μ΄ μμ΄μ 무μμμ μμ°μλ€ γ μ½μ 보λ΄λ λ°©λ²μ λκ² κ°λ¨νλ€. ν΄μΈλ‘ 보λΌκΊΌλΌκ³ λ§νλ©΄ κ·Έλ₯ μμμ ν΄μΈλ‘ λ³΄λΌ μ μλ μ°νλ₯Ό μ€λ€. 2κ°μ $2.30μ΄μμΌλ 1κ°λΉ $1.15μΈ μ μ΄λ€. κ·Έλ¦¬κ³ κ·Έλ₯ κ·Έ μ°νλ₯Ό μ½μμ λΆμ΄λ©΄ λμ γ ‘ ! νκ΅κΉμ§ κ°λλ°μλ μ½ 2 ~ 3μ£Όκ° κ±Έλ¦°λ€κ³ νλ€.. Functional Decomposition & Debugging Program Decomposition - The process of breaking a large problem into more manageable sub-problems : It's often easier to write 4 250-line functions than 1 1000-line function - Goals of Program Decomposition : complexity management : reusability and abstraction The "Black Box" - A "black box" is opaque _ its inner workings are not revealed : data abstraction is an example of this : for constructo.. About the Class The person in big data Prof. Dr Sara Gorchoff About the class BERKELEY TIME _ starts at 3:10 - About me - About you - About the class : be sure to read the syllabus : class structure and assignments : a preview of class content Psychology : "small data" research using hypothesis testing to build theories about human thoughts, feelings, and behavior Big Data : research by private industry and gov.. LAB_day 4 Sequences & Lists - sequence : an ordered collection of values - list : a sequence of values of any data type List Basics - lists are denoted by [] - features of lists: ( index ) : a position of an element in a list : starts from 0 goes to (length -1) :use list_name[index] to find the element in that index For loops - similar to while loops python codes ex. def while_print_list(lst): index = 0 w.. Sequence & Data Abstraction Sequences & Data abstraction Sequences : a sequence is an ordered collection of values - strings : sequence of characters - lists : sequence of values of any data type Sequence Abstraction : All sequences have finite length : Each element in a sequence has a discrete integer index : sequence share common behaviors based on the shared trait of having a finite length and indexed elements - Retriev.. Week 3 Week 3 resources https://docs.google.com/document/d/1S9rWGByjaN5VGRwW-UlFsJFSG5o7ZkCVony3mm4Tek0/edit Data Abstraction Data Abstraction Objectives: Understand the motivation for abstracting away functions and other information, apply the concept of data abstraction towards the solving of large problems, design modular programs. We will approach data abstraction from two di docs.google.com https:.. μ΄μ 1 Β·Β·Β· 20 21 22 23 24 25 26 Β·Β·Β· 36 λ€μ