1) replace(): Returns a string where a specified value is replaced with a specified value.
txt = "I like bananas" already = "bananas" new = "apples" l = len(already) # l = 7 start = 0 end = l while end <p>Output:<br> </p> <pre class="brush:php;toolbar:false">I like apples
--> In Python, everything is an object.
--> Every different object has different memory space.
--> String is Immutable:
--> Immutable: Non-changeable - மாறாது.
--> If we try to edit an existing string, it wont get changed. Instead, a new memory will be created for storing the new value.
-->Identical strings can refer to the same memory.
Example:
country1 = 'India' country2 = 'India' country3 = 'India' country4 = 'India' print(id(country1)) print(id(country2)) print(id(country3)) print(id(country4)) country1 = "Singapore" print(id(country1))
Output:
137348796892288 137348796892288 137348796892288 137348796892288 137348795520944
So for the last print statement a new memory has been created and string cannot be changed.
2) Difference between rfind() and rindex():
Searches the string for a specified value and returns the last position of where it was found.
Example:1
txt = "Mi casa, su casa." x = txt.rfind("basa") print(x) x = txt.rindex("basa") print(x)
Output:
-1 ValueError: substring not found
-->In rfind() if string not found it returns -1.
-->In rindex() if string not found it returns valueError.
Example:2(Logic)
txt = "Python is my favourite language" key = 'my' l = len(key) start = len(txt) - l end = len(txt) while start >= 0: if txt[start:end] == key: print(start) break start -= 1 end -= 1 else: print('-1 or ValueError')
Output:
10
3) split(): Splits the string at the specified separator, and returns a list.
txt = "Today is Wednesday" word = '' start = 0 i = 0 while i<len if txt print start="i+1" elif i="=" len> <p>Output:<br> </p> <pre class="brush:php;toolbar:false">Today is Wednesday
The above is the detailed content of Python Day-String functions logic using loops. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

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.


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