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所在平台: Udemy |
课程主页: https://www.udemy.com/course/anaconda-tutorial/
课程评论：没有评论
**课程名称：** Anaconda 入门教程 - 40分钟学会Python Anaconda **课程概述：** 本视频课程将带您深入了解 Anaconda 及其核心概念。Anaconda 是全球最受欢迎的数据科学平台，拥有超过2000万用户。它为使用 Python 构建数据科学和机器学习应用提供了强大的支持。本课程通过大量实际运行的示例，覆盖了以下要点： * **环境设置与基础操作：** 学习如何设置 Anaconda 环境，创建新项目，运行 Python 程序。 * **Python 库的安装与使用：** 演示如何在 Anaconda 中安装和运行常用的 Python 库，包括 NumPy、Pandas 和 Matplotlib。 * **Jupyter Notebook 技巧：** 掌握在 Jupyter Notebook 中创建和编辑 Notebook 的各种技巧，如单元格操作、添加标题、显示行号、下载和导入 Notebook 等。 * **进阶学习：** 通过循序渐进的课程内容，帮助您从基础到进阶地掌握在 Anaconda 上进行 Python 编程。 **目标受众：** 针对学生、工程师和专业人士。 **技术重点：** 课程内容基于 Python 3，所有示例均在 Jupyter Notebook 中实现。 **学习目标：** 快速掌握 Anaconda 的安装、配置和核心功能，并能利用其进行 Python 编程和数据科学项目开发。
In this Video Course, learn Anaconda and its concepts. Anaconda is the World's Most Popular Data Science Platform. More than 20 Million People use Anaconda. It is useful for creating data science and machine learning applications with Python. In this course, we have covered the following lessons with live running examples. Let's start with the first lesson.This Anaconda Tutorial is for students, engineers, and professionals. Beginning with the introduction, you will learn how to set the environment for Anaconda and start working with it to create new projects and run Python programs. We have also shown how to setup and run Python libraries on Anaconda. Step-by-step lessons are provided covering topics, which will help you in preparing basic to advanced-level Python programming on Anaconda.**Lessons**IntroductionInstall Anaconda on WindowsAnaconda NavigatorCreate a new NoteBook in AnacondaWorking with Cells on AnacondaTypes of Cells on AnacondaAdd Headings in Jupyter NoteBookShow line numbers in Jupyter NotebookSetup Numpy on AnacondaSetup Pandas on AnacondaSetup Matplotlib on AnacondaDownload Notebook in various formats on Jupyter NoteBookImport Notebook into Jupyter NotebookOpen already created NoteBook in AnacondaKeyboard Shortcuts on Anaconda***Python Version***We have covered Python 3 and all the examples are implemented on Jupyter Notebook.Let's start the journey!Hit the Enroll button!
