Enhance your iTerm 2 command-line experience with improved word navigation. This guide covers two approaches: a convenient one-liner script and a manual method.
Learn how to quickly configure word navigation in iTerm 2 using a one-liner script. This script enhances key bindings with the Option (Alt) key and arrow keys, facilitating smooth movement one word backward and forward.
Based on: https://www.hackerrank.com/interview/interview-preparation-kit
This 30-day study plan is meticulously crafted to help you achieve a comprehensive understanding of fundamental algorithmic concepts, strategically tailored for success in coding interviews. The primary goal of this plan is to equip you with the skills and knowledge required to confidently tackle algorithmic challenges commonly encountered during technical interviews.
The plan kicks off with a warm-up phase, allowing you to familiarize yourself with the HackerRank environment and ease into problem-solving. As you progress through each day, the plan systematically delves into key algorithmic topics, offering a detailed breakdown of subtopics for a more thorough exploration.
| #!/bin/bash | |
| # | |
| # Pyenv Installer Script | |
| # | |
| # This script automates the installation of Pyenv and the latest Python versions | |
| # on a Debian-based system or macOS. It installs necessary dependencies, sets up Pyenv, | |
| # restarts the terminal, and installs the latest Python versions concurrently. | |
| # | |
| # Note: Ensure you have sudo privileges to install system dependencies. | |
| # |
| ############################################################################## | |
| # Docker Installation Script for Ubuntu # | |
| # # | |
| # Automates the installation of Docker on Ubuntu systems. Checks if Docker # | |
| # is already installed; if not, it proceeds with the installation steps. # | |
| # # | |
| # This script simplifies Docker installation on Ubuntu by updating package # | |
| # lists, installing necessary dependencies like ca-certificates, curl, and # | |
| # gnupg, setting up the Docker repository, and installing Docker CE, # | |
| # Docker CLI, containerd.io, docker-buildx-plugin, and docker-compose-plugin # |
| from datetime import datetime | |
| import pandas as pd | |
| import requests | |
| pd.set_option('display.max_columns', 8) | |
| pd.set_option('max_seq_item', None) | |
| pd.set_option('display.width', 200) | |
| zones = [ | |
| 'US East (N. Virginia)', |
| #!/bin/bash | |
| # Purpose: This Bash script automates data migration between BigQuery and Google Cloud's storage. | |
| # It streamlines the process by using Google Cloud Storage as temporary storage. It's designed to export table | |
| # schemas to JSON, load data from CSV files into BigQuery for analysis, and securely move data between different | |
| # storage buckets. Additionally, it simplifies bucket management for organized data and enhanced redundancy. | |
| # Value: For GCP users, this script is invaluable for simplifying and expediting data migration tasks between | |
| # BigQuery, making it a crucial resource for data management. | |
| # How to Run: Before executing, set key variables like `SOURCE_PROJECT_ID`, `DESTINATION_PROJECT_ID`, | |
| # and `DATASET_NAME`. Then, prepare an input file listing the table names you want to process. Run the script in |
| #!/bin/bash | |
| if [[ "$*" == *-v* ]]; then | |
| set -x | |
| fi | |
| source_project_id="${SOURCE_PROJECT_ID}" | |
| destination_project_id="${DESTINATION_PROJECT_ID}" | |
| dataset_name="${DATASET_NAME}" |
The given command is a single-line command using gsutil, the command-line tool for interacting with Google Cloud Storage. It performs a high-performance data transfer (copy) operation (cp) from one location in Google Cloud Storage (gs://source) to another location (gs://destination).
gsutil -o "GSUtil:parallel_composite_upload_threshold=150M" \
-o "GSUtil:parallel_thread_count=10" \
-o "GSUtil:check_hashes=if_fast_else_skip" \
-h "Content-Encoding:gzip" \
-o "GSUtil:sliced_object_download=true" \
| import os | |
| os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'minimaldjango.settings') | |
| from django.forms import DateField | |
| from rest_framework import routers | |
| from rest_framework.serializers import ModelSerializer | |
| from rest_framework.viewsets import ModelViewSet | |
| from django.db.models import ( |
| import os | |
| from random import choice | |
| import argparse | |
| from tqdm import tqdm | |
| import base64 | |
| import re | |
| import requests | |
| FILE_NAME = 'proxies_downloaded.txt' |