TECH SAKHA

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Experiment 1: Installation of Metamask Copy Code 1 Meta-mask: • MetaMask is a cryptocurrency wallet and gateway to blockchain applications, primarily focusing on Ethereum and compatible networks. • It is available as a browser extension and a mobile app, enabling users to manage their digital assets securely and interact with decentralized applications (dApps) directly from their browser or mobile device. Here are its key features: • Key features: 1. Wallet Functionality: Securely store, send, and receive cryptocurrencies, including Ether (ETH) and ERC-20 tokens. Generate and manage private keys locally on the user's device. 2. Integration with dApps: Easily connect to Ethereum-based dApps, such as DeFi platforms, NFT marketplaces, and gaming applications. Simplifies signing transactions and interacting with smart contracts. 3. Network Support: Supports the Ethereum mainnet, testnets, and custom networks like Binance Smart Chain, P...

all files= github Experiment 1 Copy Code 1 # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset dataset = pd.read_csv('Salary_Data.csv') X = dataset.iloc[:, :-1].values # Features (Years of Experience) y = dataset.iloc[:, -1].values # Target (Salary) # Splitting the dataset into the Training set and Test set from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=1/3, random_state=0) # Training the Simple Linear Regression model on the Training set from sklearn.linear_model import LinearRegression regressor = LinearRegression() regressor.fit(X_train, y_train) # Predicting the Test set results y_pred = regressor.predict(X_test) # Visualizing the Training set results plt.scatter(X_train, y_train, color='red') plt.plot(X_train, regressor.predict(X_train), color='blue') plt.title('Salary v...

all files= github Experiment 1: Basic string Operations Copy Code 1 print("Basic Strings Operation in Python:") word1 = input("Enter any word: ") word2 = input("Enter any word: ") print("Concatenation of word1 and word2: ") print(word1+" "+word2) print(f"To capitalize all letter in word1: {word1.upper()} ") print(f"To make all letter in word1 into lower case: {word1.lower()} ") print(f"Slicing in Python: {word1[::-1]}") print(f"Number of times letter 'e' appeared in word1: {word1.count('e')}") print(f"The position of letter 'd' in word2: {word2.index('d')}") print("\nBasic Maths operations in Python: ") a = int(input("Enter number 1: ")) b = int(input("Enter number 2: ")) print(f"Addition of {a} and {b}: {a+b}") print(f"Subtraction of {a} and {b}: {a-b}") print(f"...