1. Create a tuple
tup1 = ('physics', 'chemistry', 1997, 2000); tup2 = (1, 2, 3, 4, 5 ); tup3 = "a", "b", "c", "d";
Create an empty tuple
tup1 = ();
When a tuple contains only one element, you need to add a comma after the element to eliminate ambiguity
tup1 = (50,);
Tuples are similar to strings. The subscript index starts from 0 and can be intercepted, combined, etc.
2. Access tuples
Tuples can use subscript indexes to access the values in the tuples, as shown in the following example:
#!/usr/bin/python tup1 = ('physics', 'chemistry', 1997, 2000); tup2 = (1, 2, 3, 4, 5, 6, 7 ); print "tup1[0]: ", tup1[0] print "tup2[1:5]: ", tup2[1:5] #以上实例输出结果: #tup1[0]: physics #tup2[1:5]: [2, 3, 4, 5]
3. Modify the element values in the tuples
Modification is not allowed, but we can connect and combine tuples, as shown in the following example:
#!/usr/bin/python tup1 = (12, 34.56); tup2 = ('abc', 'xyz'); # 以下修改元组元素操作是非法的。 # tup1[0] = 100; # 创建一个新的元组 tup3 = tup1 + tup2; print tup3; #以上实例输出结果: #(12, 34.56, 'abc', 'xyz')
4. Delete tuples
The element values in the tuple are not allowed to be deleted, but we can use del statement to delete the entire tuple, as shown in the following example:
#!/usr/bin/python tup = ('physics', 'chemistry', 1997, 2000); print tup; del tup; print "After deleting tup : " print tup;
#After the above example tuple is deleted, the output variable will have an exception message, and the output is as follows:
#('physics', 'chemistry ', 1997, 2000)
#After deleting tup :
#Traceback (most recent call last):
# File "test.py", line 9, in
# print tup;
#NameError: name 'tup' is not defined[/code]
5. Tuple operator
Like strings, tuples can be operated using the + and * signs. This means that they can be combined and copied, resulting in a new tuple.
6. Tuple index, interception
Because the tuple is also a sequence, we can access the element at the specified position in the tuple, or intercept the index. A section of elements, as shown below:
Tuple:
L = ('spam', 'Spam', 'SPAM!')
7. No closing delimiter
Any unsigned object separated by commas, defaults to a tuple, as shown in the following example:
#!/usr/bin/python print 'abc', -4.24e93, 18+6.6j, 'xyz'; x, y = 1, 2; print "Value of x , y : ", x,y;
The above examples allow results:
abc -4.24e+93 (18+6.6j) xyz Value of x , y : 1 2
8. Tuple built-in functions
Python tuples include the following built-in functions
1. cmp(tuple1, tuple2): compare two Tuple element.
2. len(tuple): Calculate the number of tuple elements.
3. max(tuple): Returns the maximum value of the element in the tuple.
4. min(tuple): Returns the minimum value of the element in the tuple.
5. tuple(seq): Convert the list into a tuple.
>>> classmates = ('Michael', 'Bob', 'Tracy')Now, the classes tuple cannot be changed, and it does not have methods such as append() and insert(). Other methods of obtaining elements are the same as lists. You can use classes[0] and classes[-1] normally, but they cannot be assigned to other elements.
What is the significance of immutable tuple? Because tuples are immutable, the code is safer. If possible, use tuple instead of list.
Traps of tuple: When you define a tuple, the elements of the tuple must be determined at the time of definition, for example:
>>> t = (1, 2) >>> t (1, 2)If you want to define an empty tuple, you can write ():
>>> t = () >>> t ()However, to define a tuple with only 1 element, if you define it like this:
>>> t = (1) >>> t 1What you define is not a tuple, but the number 1! This is because brackets () can represent both tuples and parentheses in mathematical formulas, which creates ambiguity. Therefore, Python stipulates that in this case, calculations are performed according to parentheses, and the calculation result is naturally 1.
So, a comma must be added when defining a tuple with only 1 element to eliminate ambiguity:
>>> t = (1,) >>> t (1,)Python will also add a comma when displaying a tuple with only 1 element to avoid you Misunderstood as parentheses in the sense of mathematical calculations. Let's look at a "variable" tuple:
>>> t = ('a', 'b', ['A', 'B']) >>> t[2][0] = 'X' >>> t[2][1] = 'Y' >>> t ('a', 'b', ['X', 'Y'])This tuple has three elements when it is defined, namely 'a', 'b' and a list. Doesn’t it mean that a tuple is immutable once it is defined? Why did it change later? Don't worry, let's first take a look at the three elements contained in the tuple when it was defined:
After understanding "the pointer does not change", how to create a tuple whose content does not change? Then it must be ensured that each element of the tuple itself cannot be changed.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.


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