Home Backend Development Python Tutorial Python Day-redefined modules,While loop,Task

Python Day-redefined modules,While loop,Task

Nov 28, 2024 am 05:07 AM

Python Day-redefined modules,While loop,Task

Predefined modules

sys module:(sys.argv)

In this module sys.argv is used to show output as lists.
For example:
Input:

import sys
print(sys.argv)  
Copy after login

Output:

guru@guru-Aspire-A315-58:~/Desktop/Guru$ python3 user.py guru kuhan varatha pritha krihsnaveni
['user.py', 'guru', 'kuhan', 'varatha', 'pritha', 'krihsnaveni']
Copy after login

So this argv function is used to show outputs as a list by entering data after python3 with space.

Time module: (time.sleep)
This sleep is used for time delay which means pauses in execution.It will be mostly used in automation.
Input:

import time
print("Good Morning")
time.sleep(2)
print("Hello")
Copy after login

Output:

Good Morning
Hello

Copy after login

So in above output good morning will be displayed immediately,But hello will be delayed for 2 seconds then it will display.

Note:If we are importing any module we can define with any other name for that module using "as"
ex: import calculator as calc

csv-comma seperated value
json-javascript object notation

Programming basics:
1) Known to unknown
2) Don't think about entire output
3) Think only about very next step
4) Introduce variables if necessary
5) Observe program closely.

Looping:
While loop:
-->With the while loop we can execute a set of statements as long as a condition is true.
-->For writing multiple "if"conditions we can use "while"loop for repeated condition.

Ex:

To get this output 1 1 1 1 1 we have various syntax but we can use if and while now.
case:1

#using if condition

count = 1
if count<=5:
    print(1, end=' ')
    count=count+1 #count = 2
if count<=5:
    print(1, end=' ')
    count=count+1 # count = 3

if count<=5:
    print(1, end=' ')
    count=count+1 # count = 4

if count<=5:
    print(1, end=' ')
    count=count+1 # count = 5

if count<=5:
    print(1, end=' ')
    count=count+1 # count = 6
Copy after login

Case:2

count = 1
while count<=5:
    print(1, end=' ')
    count=count+1 #count = 2
Copy after login

Output for both case:1,2

1 1 1 1 1
Copy after login

So for repeated condition we can use while loop instead of if.

Inbuilt features of print

print(*objects, sep=' ', end='n', file=None, flush=False)

Varying arguments:(Variable length arguments)

objects:Length of arguments can vary if we define it using ().

sep=' ':In default print every output contains space if we need any other we can use (sep) and give that inside ''.

end=n:It is used for getting output in a new line.

Task:1
To get only date from datetime module in python

from datetime import date
today=date.today()
print("Date: ",today)
Copy after login

Output:

Date:  2024-11-22

Copy after login

The above is the detailed content of Python Day-redefined modules,While loop,Task. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1677
14
PHP Tutorial
1279
29
C# Tutorial
1257
24
Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 19, 2025 am 12:20 AM

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.

Learning Python: Is 2 Hours of Daily Study Sufficient? Learning Python: Is 2 Hours of Daily Study Sufficient? Apr 18, 2025 am 12:22 AM

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.

Python vs. C  : Exploring Performance and Efficiency Python vs. C : Exploring Performance and Efficiency Apr 18, 2025 am 12:20 AM

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.

Python vs. C  : Understanding the Key Differences Python vs. C : Understanding the Key Differences Apr 21, 2025 am 12:18 AM

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.

Which is part of the Python standard library: lists or arrays? Which is part of the Python standard library: lists or arrays? Apr 27, 2025 am 12:03 AM

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

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.

Python for Scientific Computing: A Detailed Look Python for Scientific Computing: A Detailed Look Apr 19, 2025 am 12:15 AM

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.

Python for Web Development: Key Applications Python for Web Development: Key Applications Apr 18, 2025 am 12:20 AM

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

See all articles