Python Programming: A Practical Approach

所在平台: Udemy

课程主页: https://www.udemy.com/course/python-programming-2021-full-coverage-a-practical-approach/

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课程名称:Python编程:实践方法 课程概述:本课程采用实践方法教授Python语言。我们为每个概念和语法提供详细的解释,并通过实际示例进行说明。在每个主题中,我们首先介绍所需的理论水平,解释语法,并通过多个示例程序进行说明。教程视频还提供了关于求职面试问题的指导,以及来自大学考试试卷的问题解决方案。 课程主要内容包括以下主题,每个主题都有足够的实践例子: 1. Python的介绍与基础 2. 赋值语句 3. 输入语句和输出语句 4. 数学库函数 5. 日期时间库 - 日期、时间、日期时间、时间间隔 6. 控制结构,如IF语句 7. 循环结构,如For循环和While循环 8. 列表、元组和集合 9. 字符串操作 10. 用户定义函数 11. 数据文件 - 文件操作 12. 使用Python图像库(PIL)进行绘图 13. 使用Matplotlib进行数据可视化 14. 使用Pandas数据框进行数据库管理 15. 使用Python程序播放音乐 我们还介绍了一些重要的Python库,如Math、Pandas、Matplotlib、NumPy和PIL。在数学库中,我们介绍了所有重要的函数,如数学常量、数字函数、三角函数、对数函数、距离、排列组合以及最小公倍数/最大公约数。在介绍Pandas数据框时,我们使用了一个简单的数据库,解释了所有数据框的方法和命令。通过PIL库,我们展示了其能力,如加载和显示图像、图像处理操作(如锐化、模糊)以及在图像上绘制矩形和其他形状的程序。我们还使用PIL.ImageFont库在图像上写文字。在Matplotlib中,我们介绍了绘制折线图、条形图、散点图、横向条形图和饼图的Python程序。此外,我们增加了教程视频,讨论全球大学考试中提出的问题的解决方案。 课程适合希望通过实践提升Python编程技能的学习者。

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In this course, we teach Python Language using a practical approach. For every concept and syntax, elaborate details are given with a practical example. For every topic, we introduce the required. level of theory, explain the syntax, and illustrate using several example programs. The Tutorial Videos give coaching on Job Interview questions and solutions for problems from university examination papers. The following topics first with a sufficient number of practical examples:1. Introduction and basics of to Python2. Assignment Statements3. Input Statement and Output Statements4. Math Library functions5. Datetime Library - date, time, datetime, timedelta6. Control structures such as IF statement7. Loop Structures such as For Loop and While Loop8. List, Tuple, and Set9. String Manipulation10. User-Defined Functions11. Data Files - File Manipulation12. Drawing with Python Image Library (PIL)13. Data Visualization using Matplotlib14. Database Management using Python Pandas Data Frames15. Playing Music with Python programsWe introduce some important Python Libraries such as Math, Pandas, Matplotlib, NumPy, and PIL.Examples are chosen for each of the concepts so that the student understands the concept easily. In Math Library, we introduce all the important Functions such as Math constants, number functions, trigonometric functions, logarithmic functions, distance, permutation combination, and LCM / GCD. In introducing Pandas Dataframe, we have used a simple database and explained all the data frame methods and commands. By introducing PIL, we have illustrated the library capabilities such as load and display a picture, Image processing operations such as Sharp, Blur, and embodying. We have written programs for drawing rectangles and other shapes on a picture. We have used PIL.ImageFont library to write text on the image.In Matplotlib, we have introduced Python programs for drawing line graphs, bar charts, scatter diagrams, horizontal bars, and pie chart.We have added Tutorial videos for discussing the solutions for problems asked in university examinations globally.

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