News
Entertainment
Science & Technology
Life
Culture & Art
Hobbies
News
Entertainment
Science & Technology
Culture & Art
Hobbies
1. Python Programming: What You Need to Know Python is a powerful, high-level programming language created by Guido van Rossum in 1991. It is used for a wide range of applications, from web development to data science. Python is easy to learn, simple to use, and can be used for both large and small projects. In this article, we'll cover the basics of Python programming and give you the tools you need to get started.
Join our workshop on Devops for Data Scientists (R & Python), which is a part of our workshops for Ukraine series! Here’s some more info: Title: Devops for Data Scientists (R & Python) Date: Thursday, April 3rd, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) Speaker: Rika Gorn is a Senior Platform Engineer at Posit … Continue reading Devops for Data Scientists (R & Python) workshopDevops for Data Scientists (R & Python) workshop was first posted on March 4, 2025 at 11:41 am.
Master Python with 70+ Hands-on Projects and Get Job-ready - Learn Python Program 1 # Program for tell() and seek() import os try: if(os.path.isfile("d://indore/student1.txt")): f=open("d://indore/student1.txt","r") # print(f.tell()) # print(f.read(5)) # print(f.tell()) f.seek(2,0) print(f.tell()) print(f.read(5))...
Master Python with 70+ Hands-on Projects and Get Job-ready - Learn Python Program 1 #Program for Pickle Serialization and Deserialization import pickle,os,student # Program for Serialization # try: # f=open("d://mydata/studentdata.txt","wb") # if(f.writable()): # rn=int(input("Enter...
Master Python with 70+ Hands-on Projects and Get Job-ready - Learn Python Program 1 import csv try: filename=input("Enter a file name for create: ") f=open("d://mydata/"+filename+".csv","w",newline='') if(f.writable()): obj=csv.writer(f) obj.writerow(['eno','ename','salary','department']) while True: en=int(input("Enter Employee Number: "))...
Data cleaning is one of the most important and time-consuming tasks in data science. It’s crucial to ensure that the data is accurate, consistent, and ready for analysis or modeling. In this article, we’ll explore common techniques for data cleaning in Python and demonstrate how to implement them using popular libraries like Pandas and NumPy. […]