In the data science process, data cleansing is an essential stage. Within a dataset, it entails repairing or eliminating inaccurate, corrupted, improperly formatted, duplicate, or incomplete data. Pandas provides a wealth of features for data cleaning, simplifying operations such as removing columns, filtering rows, and managing missing data.
Code Sample - Data Cleaning:
import pandas as pd
import numpy as np
# Sample DataFrame with missing values and duplicates
data = {'Name': ['Jay', np.nan, 'Sam', 'Sam'], 'Age': [20, np.nan, 35, 35], 'City': ['New York', 'Paris', 'London', 'London']}
df = pd.DataFrame(data)
# Handling missing values
df_cleaned = df.dropna() # Removes rows with missing values
# Removing duplicates
df_cleaned = df_cleaned.drop_duplicates()
print(df_cleaned)
In the data science process, data cleansing is an essential stage. Within a dataset, it entails repairing or eliminating inaccurate, corrupted, improperly formatted, duplicate, or incomplete data. Pandas provides a wealth of features for data cleaning, simplifying operations such as removing columns, filtering rows, and managing missing data.
Code Sample - Data Cleaning:
pythonimport pandas as pd import numpy as np # Sample DataFrame with missing values and duplicates data = {'Name': ['Jay', np.nan, 'Sam', 'Sam'], 'Age': [20, np.nan, 35, 35], 'City': ['New York', 'Paris', 'London', 'London']} df = pd.DataFrame(data) # Handling missing values df_cleaned = df.dropna() # Removes rows with missing values # Removing duplicates df_cleaned = df_cleaned.drop_duplicates() print(df_cleaned)
Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.
Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.
The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.
Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.
6 Top Tips for Learning Python
The following is a step-by-step guide for beginners interested in learning Python using Windows.
Best YouTube Channels to Learn Python
Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.
The average salary for Python Developer is ₹5,55,000 per year in the India. The average additional cash compensation for a Python Developer is within a range from ₹3,000 - ₹1,20,000.
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