Introduction to Scripting in Python 專項課程

於 Jul 23 開始

Introduction to Scripting in Python 專項課程

Launch Your Career in Python Programming。 Master the core concepts of scripting in Python to enable you to solve practical problems.

本專項課程介紹

This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.

製作方:

courses
4 courses

按照建議的順序或選擇您自己的順序。

projects
項目

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certificates
證書

在您的簡歷和領英中展示您的新技能。

項目概覽

課程
Beginner Specialization.
No prior experience required.
  1. 第 1 門課程

    Python Programming Essentials

    計劃開課班次:Jul 23
    課程學習時間
    This is a four week class with an expected workload of 5-7 hours per week.
    字幕
    English

    課程概述

    This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs. By the end of the course, you will be able to write short Python programs that are able to accomplish real, practical tasks. This course is the foundation for building expertise in Python programming. As the first course in a specialization, it provides the necessary building blocks for you to succeed at learning to write more complex Python programs. This course uses Python 3. While many Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This first course will use a Python 3 version of the CodeSkulptor development environment, which is specifically designed to help beginning programmers learn quickly. CodeSkulptor runs within any modern web browser and does not require you to install any software, allowing you to start writing and running small programs immediately. In the later courses in this specialization, we will help you to move to more sophisticated desktop development environments.
  2. 第 2 門課程

    Python Data Representations

    計劃開課班次:Jul 23
    課程學習時間
    This is a four week class with an expected workload of 5-7 hours per week.
    字幕
    English, Vietnamese

    課程概述

    This course will continue the introduction to Python programming that started with Python Programming Essentials. We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs. By the end of the course, you will be able to write Python programs that can manipulate data stored in files. This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development environments.
  3. 第 3 門課程

    Python Data Analysis

    計劃開課班次:Jul 23
    課程學習時間
    This is a four week class with an expected workload of 5-7 hours per week.
    字幕
    English

    課程概述

    This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.
  4. 第 4 門課程

    Python Data Visualization

    計劃開課班次:Jul 23
    課程學習時間
    This is a four week class with an expected workload of 5-7 hours per week.
    字幕
    English

    課程概述

    This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.

製作方

  • Rice University

    The creators of this Specialization are the instructors for the first-year Computer Science classes at Rice University. Their goal is to provide a learning experience that is both practical and challenging.

    Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.

  • Joe Warren

    Joe Warren

    Professor
  • Scott Rixner

    Scott Rixner

    Professor

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