From bb0d40c1234d6c843282a9321eaca35e7fa7bc7f Mon Sep 17 00:00:00 2001 From: Dilipan Date: Mon, 27 Oct 2025 18:28:36 +0530 Subject: [PATCH 1/5] Add files via upload --- inputand output variables 1.py | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 inputand output variables 1.py diff --git a/inputand output variables 1.py b/inputand output variables 1.py new file mode 100644 index 00000000..802b6c64 --- /dev/null +++ b/inputand output variables 1.py @@ -0,0 +1,9 @@ +# Exercise #31: Input/Output & Variables + +# Taking user inputs +name = input("Enter your name: ") +age = int(input("Enter your age: ")) +city = input("Enter your city: ") + +# Output message +print(f"Hello {name}! You are {age} years old and live in {city}.") From af7e92b8814f1c73cd225825fe5ada47d2843a41 Mon Sep 17 00:00:00 2001 From: Dilipan Date: Mon, 27 Oct 2025 18:46:27 +0530 Subject: [PATCH 2/5] Add files via upload --- basic data cleaning2.py | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 basic data cleaning2.py diff --git a/basic data cleaning2.py b/basic data cleaning2.py new file mode 100644 index 00000000..18a62b90 --- /dev/null +++ b/basic data cleaning2.py @@ -0,0 +1,23 @@ +# Task #100: Basic Data Cleaning using pandas +import pandas as pd + +# Read dataset (you can replace this with your CSV path) +data = pd.read_csv("data.csv") + +# Show first few rows +print("Before Cleaning:\n", data.head()) + +# Drop rows with missing values +data_cleaned = data.dropna() + +# Rename columns (example) +data_cleaned = data_cleaned.rename(columns={'OldColumnName': 'NewColumnName'}) + +# Reset index +data_cleaned.reset_index(drop=True, inplace=True) + +# Save cleaned data +data_cleaned.to_csv("cleaned_data.csv", index=False) + +print("\nAfter Cleaning:\n", data_cleaned.head()) +print("\n✅ Data cleaned and saved as 'cleaned_data.csv'") From fc99c00b570581b68f6fe1a28957ca3e488cf8d8 Mon Sep 17 00:00:00 2001 From: Dilipan Date: Mon, 27 Oct 2025 18:47:25 +0530 Subject: [PATCH 3/5] Add files via upload --- transulate text using google translator 3.py | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 transulate text using google translator 3.py diff --git a/transulate text using google translator 3.py b/transulate text using google translator 3.py new file mode 100644 index 00000000..5f76310f --- /dev/null +++ b/transulate text using google translator 3.py @@ -0,0 +1,19 @@ +# Project #288: Translate text using googletrans +from googletrans import Translator + +# Create a translator object +translator = Translator() + +# Input text +text = input("Enter text to translate: ") + +# Choose target language (e.g., 'es' for Spanish, 'fr' for French, 'ta' for Tamil) +target_lang = input("Enter target language code (e.g., 'es', 'fr', 'ta'): ") + +# Perform translation +translation = translator.translate(text, dest=target_lang) + +# Show result +print(f"\nOriginal: {text}") +print(f"Translated ({target_lang}): {translation.text}") +print("\n✅ Translation completed.") \ No newline at end of file From 780745ad96c3f66cce886a1b41916229b8c6767a Mon Sep 17 00:00:00 2001 From: Dilipan Date: Fri, 31 Oct 2025 21:55:00 +0530 Subject: [PATCH 4/5] Add data cleaning script for CSV files This script reads a CSV file, cleans the data by removing missing values, renames a column, and saves the cleaned data to a new CSV file. --- Data_cleaning/data_cleaning | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 Data_cleaning/data_cleaning diff --git a/Data_cleaning/data_cleaning b/Data_cleaning/data_cleaning new file mode 100644 index 00000000..0d60e7b7 --- /dev/null +++ b/Data_cleaning/data_cleaning @@ -0,0 +1,9 @@ +import pandas as pd +data = pd.read_csv("data.csv") +print("Before Cleaning:\n", data.head()) +data_cleaned = data.dropna() +data_cleaned = data_cleaned.rename(columns={'OldColumnName': 'NewColumnName'}) +data_cleaned.reset_index(drop=True, inplace=True) +data_cleaned.to_csv("cleaned_data.csv", index=False) +print("\nAfter Cleaning:\n", data_cleaned.head()) +print("\nData cleaned and saved as 'cleaned_data.csv'") From 64174ab39fb57ee08c2f10dd4c60185f547fdc85 Mon Sep 17 00:00:00 2001 From: Dilipan Date: Fri, 31 Oct 2025 22:10:53 +0530 Subject: [PATCH 5/5] data_cleaning to data_cleaning --- Data_cleaning/{data_cleaning => data_cleaning.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename Data_cleaning/{data_cleaning => data_cleaning.py} (100%) diff --git a/Data_cleaning/data_cleaning b/Data_cleaning/data_cleaning.py similarity index 100% rename from Data_cleaning/data_cleaning rename to Data_cleaning/data_cleaning.py