Guibs’ Python learning_list
# 列表# 列表由一系列按特定顺序排列的元素组成, 其中元素和元素之间可以没有任何关系 # 在 Python 中, 用方括号 [] 来表示列表, 并用逗号 , 分隔其中的元素 languages = ['swift', "python", "objective-C"] print(languages) # 访问列表元素# 列表是有序集合, 因此要访问列表的任何元素, 只需将该元素的位置或索引告诉 Python 即可# 在 Python 中, 第一个元素的索引是0print(languages[0]) print(languages[1]) print(languages[2])# 当列表不为空时:# 将索引设置为-1, 可以返回 Python 列表的最后一个元素print(languages[-1]) # 将索引设置为-2, 可以返回 Python 列表的倒数第二个元素print(languages[-2])# 将索引设置为-3, 可以返回 Python 列表的倒数第三个元素print(languages[-3]) # 使用列表中的元素wanna_use = "I'd like to use " + languages[1].title() + "."print(wanna_use)# 添加、修改、删除元素 # 修改列表元素motorcycles = ['honda', 'yamaha', 'suzuki'] print(motorcycles) motorcycles[0] = 'ducati'print(motorcycles)# 添加列表元素# 在列表末尾添加# [.append()]motorcycles.append('yamaha') print(motorcycles)# 在列表中插入元素# [.insert()]motorcycles.insert(1, "hl") print(motorcycles)# 删除列表元素# [del]print(motorcycles)del motorcycles[1] print(motorcycles)# 删除指定元素并返回被删除的值# [.pop()]poped_motor = motorcycles.pop(0) print(poped_motor)# 根据值删除元素# [.remove()]# 只会删除第一个出现的与该值匹配的元素print(motorcycles) motorcycles.remove('yamaha') print(motorcycles)# 组织列表# 对列表进行永久排序# [.sort()]cars = ['bmw', 'audi', 'toyota', 'mini'] print(cars) cars.sort() print(cars)# 倒叙cars.sort(reverse=True) print(cars)# 使用sorted() 列表进行临时排序cars2 = ['bmw', 'audi', 'toyota', 'mini'] print(cars2) print(sorted(cars2)) print(cars2)# 倒叙print(sorted(cars2, reverse=True))# 永久反转列表顺序# [.reverse()]foods = ['apple', 'pear', 'banana'] print(foods) foods.reverse() print(foods)# 确定列表的长度# [len()]print(len(foods))# 使用列表时, 避免索引错误# 操作列表 # 遍历整个列表magicians = ['alice', 'david', 'carolina']for magician in magicians: print(magician.title() + ", that was a great trick!") print("I can't wait to see your next trick\n") print("Thank you everyone")# 创建数值列表# 生成一系列数字# [range()]for value in range(1, 5): print(value) # 1, 2, 3, 4# 指定步长for value in range(1, 5, 2): print(value) # 1 3# 使用函数 list() 将 range() 的结果转换为列表numbers = list(range(1, 6)) print(numbers)# 数字列表处理numbers = [1, 3, 2, 7, 4, 5, 6] print(max(numbers)) # 最大值print(min(numbers)) # 最小值print(sum(numbers)) # 求和# 列表解析squares = [value**2 for value in range(1, 10)] print(squares)# 使用列表的一部分# 切片 [要创建切片, 可指定要使用的第一个和最后一个元素的索引+1]computers = ['Macbook', 'Macbook Pro', 'iMac', 'Mac Pro'] print(computers[1:2]) # 获取 1 <= 索引 < 2 的元素print(computers[1:]) # 获取 1 <= 索引 的元素print(computers[:2]) # 获取 索引 < 2 的元素print(computers[:-1]) # 获取最后一个元素之前的元素print(computers[-3:]) # 获取最后三个元素# 遍历切片for computer in computers[1:3]: print(computer.upper())# 复制列表# 通过创建一个省略索引限制的切片wanna_food = ['apple', 'pear', 'banana'] print(wanna_food) buy_food = wanna_food[:] print(buy_food)# 若不使用切片. 直接将旧列表赋值到新数组, 则相当于直接引用同一列表, 而非拷贝副本
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Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

Python is suitable for rapid development and data processing, while C is suitable for high performance and underlying control. 1) Python is easy to use, with concise syntax, and is suitable for data science and web development. 2) C has high performance and accurate control, and is often used in gaming and system programming.

The time required to learn Python varies from person to person, mainly influenced by previous programming experience, learning motivation, learning resources and methods, and learning rhythm. Set realistic learning goals and learn best through practical projects.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.


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