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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-exercises-for-beginners-solve-coding-challenges/
课程评论：没有评论
课程名称：初学者的Python练习：解决100多个编码挑战 课程概述：如果你正在学习Python并希望通过密集的实践提升你的Python技能，这门课程非常适合你。在这个课程中，你将应用所学知识解决100多个Python练习，并通过逐步讲解的视频课程检查你的解决方案。这门课程旨在帮助你提高解决问题和编码的能力，学习Python的内置函数和模块，处理实际编码挑战，并逐行理解代码的工作原理。 课程内容包括： 1. 解决100多个编码练习，提升Python技能。 2. 掌握内置Python函数和模块，使用不同的方法解决问题。 3. 通过不同的值和输入测试代码，验证其正确性。 4. 理解Python的基本元素：字符串、列表、元组、字典、条件、循环、递归、文件等。 5. 学习如何有效地分析和解决编程问题。 课程特色： - 丰富的练习题，按难度分级，适合不同技能水平的学习者。 - 10多个小时的视频课程，提供详细的解决步骤和分析。 - 课程不断更新，包含新的练习和资源。 - 提供测试案例，帮助你确认解决方案的正确性。 学习材料与资源： - 编码挑战和详细描述，分为不同层次以便学习。 - 多种格式的PDF资源，包括进度跟踪海报和笔记页面格式。 - 下载样例解决方案的Python文件，便于在本地运行实验。 课程的独特之处在于强调提供视觉化和详细的解决方案解释，确保学习者不仅学会实现编码，也能理解每行代码的目的。完成课程后，你将获得证书，可以在社交媒体上展示你的新技能，并享有终身访问权。 如果你希望拥有一个互动、视觉化且实用的课程，现在就来报名练习你的问题解决技巧，展示你新的Python知识吧!
If you are learning Python and you want to take your Python skills to the next level with intensive practice, then this course is for you. Apply your knowledge to solve more than 100 Python exercises and check your solutions with step-by-step video lectures with visual effects and diagrams.Solve 100+ Exercises to Take Your Python Skills to the Next Level. Solve more than 100 exercises and improve your problem-solving and coding skills.Learn new Python tools such as built-in functions and modules.Apply your knowledge of Python to solve practical coding challenges.Understand how the code works line by line behind the scenes.Identify different ways to solve a problem and which one is more concise and efficient. Test your code with different values and inputs to verify its correctness. Gain practical and valuable coding skills. Course UpdatesThe course is updated with new exercises and resources:August 2022 - NEW Updated Section 1November 2021 - NEW Exercise: Find the Intersection of Two SetsNovember 2021 - NEW Exercise: Balanced Square BracketsImprove your Python Skills and Gain Valuable Practical ExperiencePython is currently one of the most popular programming languages and its popularity continues to rise every year. It is used for real-world applications in diverse areas such as Web Development, Data Science, Machine Learning, Artificial Intelligence and many more. Learning Python is your next step into the powerful world of computer science. Through practice, you can improve your coding and problem-solving skills. You will also learn new tools that you can use in Python.Your knowledge of Python will be extremely helpful in any field, including:Web DevelopmentMachine LearningData ScienceArtificial IntelligenceGame DevelopmentMobile App DevelopmentBioinformaticsMedical SoftwareComputer Visionand.many more!Coding skills are essential to succeed in the world of the future. Therefore, if you are thinking about entering any of these fields or if you are planning to expand your computer science skills, then this course is for you. The concepts and techniques that you will learn in this course are easily transferable to other programming languages like Java, JavaScript, and many more because you will practice how to analyze and solve problems using code.GoalsBy the end of this course, you will be able to:Analyze a problem step by step and develop a solution in Python.Solve a problem in Python using different approaches.Use built-in Python functions and modules to solve a problem efficiently.Understand how the code works behind the scenes.Work with the main elements of Python: strings, lists, tuples, dictionaries, conditionals, loops, recursion, files, and more..Test your code with various inputs and values to verify its correctness. Learning Material & ResourcesCoding Challenges: 100+ coding challenges with detailed descriptions and hints to guide you through this journey.Exercises Divided by Levels of Difficulty: the exercises are divided into two levels, so you can start working on them according to your skill level and then solve more advanced exercises as you practice.Video Lectures: 10+ hours of video lectures and resources with step-by-step solutions and explanations of how to analyze the problems and how the code works behind the scenes. Visual Effects: You will learn how to solve these exercises with carefully designed visual effects, animations, and diagrams.Test Cases: each coding challenge has test cases to help you test if your solution is correct. Each problem can be solved in multiple ways, so these test cases will help you confirm if your solution is correct.Python Files: you will be able to download the sample solutions as Python files to run and experiment with the code in your device.Progress Tracker: a PDF poster that you can print and cross out as you complete the exercises to help you track your progress. Cornell Note-taking Method Page Format: a PDF format that you can print to take notes following the Cornell Note-taking Method (a page divided into three sections to write your notes, comments, and summary).Code Notebook Format: a PDF format that you can print to write your solutions or the sample solutions by hand, analyze the code, and add your comments.The Coding Challenges Cover:StringsLists and TuplesDictionariesConditionalsLoopsRecursionFilesMiscellaneous and More Challenging ExercisesMost exercises combine different elements from these topics, but the exercises are grouped by their most relevant category.What makes this course unique?This course is unique because of its emphasis on providing visual and detailed explanations of how the solutions work behind the scenes, so you will not only learn how to implement them in Python, you will actually understand the purpose of each line of code. Unique study materials complement the course experience. You will find three PDF resources specifically designed for the course: a poster, a note-taking page format with the Cornell Note-taking Method, and a code notebook. Check your solutions with detailed video lectures and download the sample solutions to run the code on your device.You will receive a certificate of completion that you can add to your social media profiles to showcase your new skills. You will also have lifetime access to the course.You are very welcome to watch the preview lectures and check out the full course curriculum. If you are looking for an engaging, visual, and practical course, then you found it. Enroll now, practice your problem-solving skills, and showcase your new Python knowledge.
