Este curso faz parte do Programa de cursos integrados Introduction to Programming with Python and Java

Brandon Krakowsky

oferecido por

Programa de cursos integrados Introduction to Programming with Python and JavaUniversidade da Pensilvânia

Informações sobre o curso

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This course provides an introduction to programming and the Python language.  Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions.  This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly.  It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files. This course may be more robust than some other introductory python courses, as it delves deeper into certain essential programming topics.

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Curso 1 de 4 no

Programa de cursos integrados Introduction to Programming with Python and Java

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

High school or college math.

Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).

Aprox. 24 horas para completar

Inglês

Legendas: Inglês

O que você vai aprender

Identify core aspects of programming and features of the Python language

Understand and apply core programming concepts like data structures, conditionals, loops, variables, and functions

Use different tools for writing and running Python code

Design and write fully-functional Python programs using commonly used data structures, custom functions, and reading and writing to files

Habilidades que você terá

Python ToolsPython Syntax And SemanticsProgramming PrinciplesPython ProgrammingComputer Programming

Certificados compartilháveis

Tenha o certificado após a conclusão

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Curso 1 de 4 no

Programa de cursos integrados Introduction to Programming with Python and Java

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

High school or college math.

Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).

Aprox. 24 horas para completar

Inglês

Legendas: Inglês

Instrutores

Classificação do instrutor

4.14/5 (14 classificações)

Brandon Krakowsky

Lecturer

School of Engineering and Applied Science

4,897 aprendizes

6 Cursos

oferecido por

Universidade da Pensilvânia

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.

Programa - O que você aprenderá com este curso

Semana

Semana 1

7 horas para concluir

Module 1 : Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE

This first module covers an intro to programming and the Python language.

We’ll start by downloading and installing the necessary tools to begin programming and writing code in Python. After learning how to print to the console, we’ll get an understanding of Python’s basic data types, and how to do simple math. We’ll follow up by creating our first Python script, and learn how to define and assign variables, while controlling the flow of our program using conditionals. We’ll also learn how to get input from the user, including some very basic error checking. Let’s get started!

7 horas para concluir

39 vídeos (Total 59 mín.), 7 leituras, 4 testes

39 videos

About the Instructor : Brandon Krakowsky 1min

What you should expect from this Course1min

Why begin with Python?21s

Module Intro37s

What is Programming?38s

Client-side vs. server-side programming53s

Introduction to core programming concepts: Data structures, Conditionals, Variables, Functions, and Loops1min

What is Python?29s

Python is interpreted27s

Why Python?36s

Downloading & installing Python33s

Downloading & Installing Jupyter Notebook35s

Using Jupyter Notebook3min

How do I write Python?46s

Printing2min

Basic Data Types2min

Arithmetic operators1min

About division1min

Boolean values1min

Comparison operators37s

Code Along Exercise : Even/Odd45s

Strings2min

Casting3min

Downloading & installing IDLE24s

Using the IDLE shell1min

Running a Python script1min

Adding comments to Python scripts1min

Code Along Exercise : Comment the program to greet user1min

Assigning a variable54s

Boolean operators1min

Variable substitution2min

Combining variables1min

Code Along Exercise : Cats & dogs1min

Getting user input3min

Code Along Exercise : Calculate total bill6min

The if … elif … else statement2min

Code Along Exercise : Numerical grade to letter grade2min

Multiple if conditionals1min

Checking user input1min

7 leituras

Course Layout & Syllabus15min

Tips to succeed in this course10min

Module 1 Resources30min

Python - Getting Help2min

Homework 1a : Instructions10min

What is a Python script?3min

Homework 1b : Instructions10min

2 exercícios práticos

Quiz 1 - Intro to Python & The Python Language10min

Quiz 2 - Variables & Conditionals20min

Semana

Semana 2

6 horas para concluir

Module 2 : Intro to Lists, Loops, and Functions

We’ll start this module with a brief intro to lists, one of Python’s most commonly used data structures. We’ll learn just enough to get us started with loops, which are used to repeat a process or run a block of code multiple times. We’ll get into functions, which are blocks of organized code used to perform a single, related action. We’ll review some of Python’s built-in functions and learn how to design our own user-defined functions to use as building blocks in our own programs. Along the way, we’ll learn best practices for documenting our code for 2 different audiences: The users who are using our code and want to understand it at a high level, and the programmers who are reading it and want to know how it works.

6 horas para concluir

31 vídeos (Total 56 mín.), 2 leituras, 3 testes

31 videos

Module Introduction1min

Creating a list29s

Updating a list1min

Types of Loops17s

Executing code a given number of times1min

Iterating over a list3min

Code Along Exercise : Find minimum value2min

Iterating over strings1min

Iterate over a string1min

Code Along Exercise : Iterate over a name1min

'for' loops using range4min

Repeatedly executing code based on a condition1min

Waiting for user input45s

Code Along Exercise : Secret password1min

Exiting a loop using break1min

Exiting a loop using continue1min

Nested loops1min

Code Along Exercise : Multiplication tables1min

Coding Demonstration : Average program4min

Coding Demonstration : Word reversal1min

What is a function?22s

Built-in functions46s

User-defined functions56s

Code Along Exercise : Square49s

Code Along Exercise : Greater than1min

Docstrings (Documentation Strings)56s

Code Along Exercise : Get factors2min

Code Along Exercise : Unique list2min

Execution order44s

The main function49s

Coding Demonstration : Vowel/word counter 9min

2 leituras

Module 2 Resources30min

Homework 2 : Instructions10min

2 exercícios práticos

Quiz 3 - Intro to Lists & Loops18min

Quiz 4 - Functions10min

Semana

Semana 3

6 horas para concluir

Module 3 : More with Lists, Strings, Tuples, Sets, and PyCharm

In this module, we’re going to start using PyCharm, another IDE for writing and running Python code. It has enhanced features that go way beyond the limited functionality of IDLE, and it’s also an industry standard. After revisiting lists, including more advanced usage of the commonly used sequence, we’ll take a deep dive into two other very important data structures : sets and tuples. We’ll learn how they can be leveraged to both store and manipulate information. And while we already have some experience working with strings, this module will explore the intricacies and more powerful functionality of strings.

6 horas para concluir

16 vídeos (Total 25 mín.), 3 leituras, 3 testes

16 videos

Module introduction55s

About PyCharm21s

Downloading & installing PyCharm8s

Running code1min

A review of lists2min

More list operations40s

List functions52s

Slicing lists6min

Strings vs. lists51s

Slicing strings1min

Code Along Exercise : Name Substring1min

Split and join1min

Creating a tuple1min

Code Along Exercise : Max and min function4min

Creating a set1min

Iterating over and updating a set21s

3 leituras

Module 3 Resources30min

String functions5min

Homework 3 : Instructions10min

2 exercícios práticos

Quiz 5 - Lists & Strings10min

Quiz 6 - Tuples & Sets10min

Semana

Semana 4

6 horas para concluir

Module 4 : Dictionaries and Files

There are multiple ways of loading and storing data in Python. Information can be saved in dictionaries, a data structure that is extremely useful for storing multiple attributes (or data points) about a single thing. Data can also be stored in external files and then loaded into Python. This module will allow us to work with dictionaries in a variety of ways and to interact with the local file system by opening, reading from, and writing to, external files. With these added skills, you’ll begin to get a better sense of the dynamic power of Python and how it can be easily integrated with other systems.

6 horas para concluir

15 vídeos (Total 30 mín.), 2 leituras, 3 testes

15 videos

Module Introduction 52s

Creating a dictionary 47s

Key:value pairs 42s

Updating a dictionary 49s

Code Along Exercise : Grade/attendance book 9min

Opening a file 54s

Basics of file open method modes 1min

Reading a file 54s

Newline characters33s

Writing to a file17s

Closing a file48s

Coding Demonstration : Open and read a file3min

Coding Demonstration : Open, read, and append to new file3min

Coding Demonstration : Open, read, and append to same file3min

Coding Demonstration : Open, read, and write to new file2min

2 leituras

Module 4 Resources30min

Homework 4 : Instructions10min

2 exercícios práticos

Quiz 7 - Dictionaries14min

Quiz 8 - File I/O12min

Sobre Programa de cursos integrados Introduction to Programming with Python and Java

This Specialization starts out by teaching basic concepts in Python and ramps up to more complex subjects such as object-oriented programming and data structures in Java. By the time learners complete this series of four courses, they will be able to write fully-functional programs in both Python and Java, two of the most well-known and frequently used programming languages in the world today.

Introduction to Programming with Python and Java is for students and professionals who have minimal or no prior programming exposure. It’s for motivated learners who have experience with rigorous coursework, and are looking to gain a competitive edge in advancing their career. It’s for folks who are thinking about applying to the University of Pennsylvania’s online Master of Computer and Information Technology degree and want to sample some of the lecture videos and content from the first course in the program. We hope this Specialization is for you. Topics in this Specialization include language syntax, style, programming techniques, and coding conventions. Learn about best practices and good code design, code testing and test-driven development, code debugging, code and program documentation, and computational thinking.

Perguntas Frequentes – FAQ

Quando terei acesso às palestras e às tarefas?
O acesso a palestras e tarefas depende do tipo de inscrição. Se você participar de um curso como ouvinte, você poderá ver quase todo o conteúdo do curso gratuitamente. Para acessar tarefas valendo nota e obter um Certificado, você precisará adquirir a experiência do Certificado, durante ou após a participação como ouvinte. Se você não vir a opção de participar como ouvinte:
o curso pode não oferecer essa opção. Você pode experimentar um teste gratuito ou solicitar o auxílio financeiro.
Em vez disso, o curso pode oferecer 'Curso completo, sem Certificado'. Com esta opção, é possível ver todo o conteúdo do curso, enviar as avaliações necessárias e obter uma nota final. Isso também significa que você não poderá comprar uma experiência de Certificado.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Is financial aid available?
Sim, a Coursera oferece auxílio financeiro ao aluno que não possa pagar a taxa. Faça a solicitação clicando no link Auxílio Financeiro, abaixo do botão "Inscreva-se" à esquerda. Preencha uma solicitação e será notificado caso seja aprovado. Você terá que completar esta etapa para cada curso na Especialização, incluindo o Trabalho de Conclusão de Curso. Saiba mais .
Do I need to know how to program or have studied computer science in order to take this course?
No, definitely not! This Specialization is intended for anyone who has an interest in problem solving and wants to learn introductory Python or Java. No prior computer science or programming experience is required.
How much math do I need to know to take this course?
The only math that learners will need for this Specialization is arithmetic and basic concepts in logic.
This course was fun. How can I learn more?
This course is the first in the Introduction to Programming with Python and Java Specialization. If you enjoyed it, we recommend Courses 2, 3 and 4 in the series!
If you would like to learn the fundamentals of computer science beyond the basics of programming, consider applying to the Master of Computer and Information and Technology (MCIT) at the University of Pennsylvania, an Ivy League computer science master’s program for people without a computer science background. For an on-campus experience, explore here. If you prefer an online setting, apply to MCIT Online. In fact, the lectures in this series are also used in the online degree program! The Specialization certificate will be viewed favorably by the admissions committee, so be sure to mention it when you apply.

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Introduction to Python Programming

Informações sobre o curso

O que você vai aprender

Habilidades que você terá

Instrutores

Brandon Krakowsky

oferecido por

Universidade da Pensilvânia

Programa - O que você aprenderá com este curso

Semana 1

Module 1 : Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE

Semana 2

Module 2 : Intro to Lists, Loops, and Functions

Semana 3

Module 3 : More with Lists, Strings, Tuples, Sets, and PyCharm

Semana 4

Module 4 : Dictionaries and Files

Sobre Programa de cursos integrados Introduction to Programming with Python and Java

Perguntas Frequentes – FAQ

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Introduction to Python Programming

Informações sobre o curso

O que você vai aprender

Habilidades que você terá

Instrutores

Brandon Krakowsky

oferecido por

Universidade da Pensilvânia

Programa - O que você aprenderá com este curso

Semana 1

Module 1 : Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE

Semana 2

Module 2 : Intro to Lists, Loops, and Functions

Semana 3

Module 3 : More with Lists, Strings, Tuples, Sets, and PyCharm

Semana 4

Module 4 : Dictionaries and Files

Sobre Programa de cursos integrados Introduction to Programming with Python and Java

Perguntas Frequentes – FAQ

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Os melhores cursos on-line

Principais programas de cursos integrados on-line

Certificados on-line

Programa de graduação on-line

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