Learn X in Y minutes Reviews

Pandas Reviews

Learn X in Y minutes mentions (149)

• How would you start to learn coding today?

  I can't fathom it, but if I had to start over today, I'd: - Pick something I want to build - Pick the tools -- whatever's at the top of the latest SlackOverflow survey, though I'm not sure SO matters anymore - Peruse the https://learnxinyminutes.com link for the chosen tools - Use an LLM with good prompting to assist me in making what I decided. I'd use chat and hand type the code from the LLM and try to... - Source: Hacker News / 4 months ago

• 100+ FREE Resources Every Web Developer Must Try

  . HTML Cheat Sheet: Quick reference guide for HTML elements and attributes. . CSS Cheat Sheet: Comprehensive guide to CSS properties and selectors. . JavaScript Cheat Sheet: Handy reference for JavaScript syntax and concepts. . Git Cheat Sheet: Essential commands and workflows for Git. . Markdown Cheat Sheet: Markdown syntax guide for creating rich text formatting. . React Cheat Sheet: Quick overview of React... - Source: dev.to / 10 months ago

• Lua: The Modular Language You Already Know

  This is a small code example to get the basic idea. If you want a bit of a bigger file to play around yourself Or ever want to learn about a new language you can use LearnXinYMinutes which is a great starting point to learn any language you desire. - Source: dev.to / 11 months ago

• Scripts should be written using the project main language

  > Sure, maybe for some esoteric edge cases, but 5 mins on https://learnxinyminutes.com/ should get you 80% of the way there, and an afternoon looking at big projects or guidelines/examples should you another 18% of the way. Not for C++, and even for other languages, it's not the language that's hard, it's the idioms. Python written by experts can be well-nigh incomprehensible (you can save typing out... - Source: Hacker News / about 1 year ago

• Scripts should be written using the project main language

  > Learning a new language shouldn't be difficult. Programmers are expected to familiarize themselves with new tech. I wish any large company agreed with this. I've worked for a company that on boarded every single new engineer to a very niche language (F#) in a few days. Also, everybody I worked with there was amazing. Probably because of that kind of mindset. Meanwhile google tiptoes around teams adopting kotlin... - Source: Hacker News / about 1 year ago

Pandas mentions (219)

• Top Programming Languages for AI Development in 2025

  Libraries for data science and deep learning that are always changing. - Source: dev.to / 12 days ago

• How to import sample data into a Python notebook on watsonx.ai and other questions…

  # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 28 days ago

• How I Hacked Uber’s Hidden API to Download 4379 Rides

  As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 1 month ago

• Must-Know 2025 Developer’s Roadmap and Key Programming Trends

  Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago

• Sample Super Store Analysis Using Python & Pandas

  This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago