Python Basics
Python Basics

Implement ROC curve in python

... Kaden
schedule2 min read
Python Basics

SCmut||Analyze mutations in single cell data

... Leonardo
schedule2 min read
Python Basics

Impact of sample imbalance and solutions

... Justin
schedule2 min read
Python Basics

pyplot has only two values ​​to do barplot

I only calculated two ratios. I want to use these two ratios to make a barplot. I read a lot of posts on Stack Overflow to find out how to do it:import matplotlib.pyplot as plt hit_near = sum(table[table['hit or non-hit']==1]['Near FANTOM enhancer']==1)/(table[table['hit or non-hit']==1]. shape[0]) nonhit_near = sum(table[table['hit or non-hit']==0]['Near FANTOM enhancer']==1)/(table[table['hit or non-hit']==0]. shape[0]) fig = plt.figure(figsize=(3,6)) barlist = plt.bar(['non-hit','hit'], [nonh

... Jayce
schedule1 min read
Advanced Python
trending_up Advanced Python

If someone asks what a metaclass is, then throw this article to him!

... Jackson
favorite 799
trending_up Advanced Python

Explain the difference between __init__ and __new__ in Python

... Dominic
favorite 1943
trending_up Advanced Python

Use Python to jump Michael Jackson's space walk

... Hunter
favorite 1590
trending_up Advanced Python

Don't let yourself become an abandoned programmer

... Ruby
favorite 1314
trending_up Advanced Python

Use python to add watermark to pictures

... Emily
favorite 285
trending_up Advanced Python

I can count 24 o'clock in Python seconds, how about you?

... Alejandro
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Python Web Development
Python Web Development

The idea of ​​using python to implement RESTful API server side

In recent years, REST has become the standard architecture of web services and APIs, and many APP architectures basically use RESTful forms.Six features of RESTClient-Server: The server is separated from the client.Stateless: Each client request must contain complete information, in other words, each request is independent.Cacheable: The server must specify which requests can be cached.Layered System: The communication between the server and the client must be standardized, and changes to the se

... Isaac
schedule 3 min read
Python Web Development

A CMS content management system based on Flask and MongoDB

QuokkaThe happiest CMS content management system in the worldThe cover is Quokka's original meaning: short-tailed kangaroos from AustraliaQuokka is a content management platform that flexibly uses the integration of Python, Flask, and MongoDB. You can use it to publish blogs, build portals, corporate internal networks, and file management systems, and you can install some modules like Quokka-cart To make an e-commerce APP, or you can easily develop a Quokka module to meet your needs.Quokka Dashb

... Camden
schedule 2 min read
Python Web Development

One Linux command per day: find

findThe find command is a ubiquitous command and one of the most useful commands in Linux. The find command is used to search for files in a directory (and subdirectories). You can specify some matching conditions, such as finding files by file name, file type, user, and even timestamp. Here is an example to experience the power of the find command.Command formatThe general form of the find command given in the man document is:find [-H] [-L] [-P] [-D debugopts] [-Olevel] [path...] [expression]In

... George
schedule 3 min read
Machine Learning
Machine Learning

day39 (multi-process)-pipeline, process pool, return value of process pool, process callback function, data sharing between processes

1. Pipeline.py (Understand, basically use queues more)from multiprocessing import Process, Lock, Pipe # Pipeline import time import random def producer_action(producer, pro, consumer_acc): # production function for item in range(20): time.sleep(random.random()) data = pro +'production data' + str(item) producer.send(data) print(data) for item in range(consumer_acc): # If there are several consumer ends, send several None producer.send(None) producer.close() def consumer_action(consumer, pro, loc

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Machine Learning

day38 (multi-process)-semaphore, event, process queue (communication between processes)

1. Process semaphore.pyfrom multiprocessing import Process, Semaphore import time import random def action(pro, sem): # Control only 4 processes in operation # Lock the same as Lock() sem.acquire() print(pro,'Enter the program') time.sleep(random.randint(3, 5)) print(pro,'End the program') sem.release() if __name__ =='__main__': p_list = [] # Only allow 5 processes to operate at the same time sem_obj = Semaphore(5) for i in range(1, 21): p_obj = Process(target=action, args=('Process-> {)'.for

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Machine Learning

day37 (multi-process)-multi-process, daemon, process lock

1. Multi-process example # join()，程序执行到这里会等待子程序运行完毕才会继续运行主程序 # join()，在执行 .start() 之后写1.1 Method one, based on function:from multiprocessing import Process def action(p_name): print(p_name) if __name__ =='__main__': p_list = [] for i in range(1, 100): # Register function into memory p_obj = Process(target=action, args=('p_{}'.format(i),)) p_list.append(p_obj) p_obj.start() for p_obj in p_list: # join(), the program will wait for the completion of the subroutine when the program is executed # The

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Machine Learning

day33-hmac legality check and the use of socketserver (multi-client)

1. hmac checks the legal client, essentially checking whether the client contains a legal secret keyos.urandom(32) # 生成随机 byteshmac.new(secret_key, bytes_to_client, digestmod='md5').digest() # 服务器本地加密随机 byteshmac.compare_digest(bytes_from_client, local_secret_bytes） # 对比客户端加密结果判断server side.pyimport os import socket import hmac socket_obj = socket.socket() socket_obj.bind(('localhost', 8000)) socket_obj.listen(1024) connection, address = socket_obj.accept() # Send a random 32-bit bytes to the cl

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Machine Learning

day76-<item>-fuzzy query and paging reservation query conditions

1. Set the front-end verification-free keyword novalidate2. When the database field style is a checkbox, you need to modify the style and the use of'__all__'3. The instance keyword efficiently implements the modification function4. Regularly add url, pay attention again5. form-inline restricts the size of form-control6. Fuzzy querystep1: Customize the query method, this method will splice the keywords worn by the front desk and return a return valuestep2: call the method in the request, pass in

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Machine Learning

day75-<project>-obj.get_XX_display(), the realization of paging

1. Set the theme image of the browser2. Set a round picture (the picture was originally a rectangle)3. Matters needing attention, about importing bootstrap4. Register the expression admin background in models5. Customize the verbose_name and verbose_name_plural of the admin background6.The use of obj.get_XX_display()Used in the template, without parenthesesUsed in the background, with brackets7. Pay attention again to the default date display format of settings8. Use of mark_safe method9. About

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Machine Learning

day72-Django advanced-Django comes with user login verification

1. First, create a table, using the check table that comes with Django1. In models, from django.contrib.auth.models import AbstractUser2. In the settings, add AUTH_USER_MODEL = "app name.UserInfo" 3. In the view, from app01.models import UserInfo as User2. Register users and store them in the database1. How to first recognize the style of using bootstrap (manually copied bootstrap needs to be initialized to make it effective)# Add the following code def __init__(self, *args, **kwargs): super()._

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