Post #2427

✅How much 𝗣𝘆𝘁𝗵𝗼𝗻 is enough to crack a 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄? 📌 𝗕𝗮𝘀𝗶𝗰 𝗣𝘆𝘁𝗵𝗼𝗻 𝗦𝗸𝗶𝗹𝗹𝘀 - Data types: Lists, Dicts, Tuples, Sets - Loops & conditionals (for, while, if-else) - Functions & lambda expressions - File handling (open, read, write) 📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗣𝗮𝗻𝗱𝗮𝘀 - read_csv, head(), info() - Filtering, sorting, and grouping data - Handling missing values - Merging & joining DataFrames 📈 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 - Matplotlib: plot(), bar(), hist() - Seaborn: heatmap(), pairplot(), boxplot() - Plot styling, titles, and legends 🧮 𝗡𝘂𝗺𝗣𝘆 & 𝗠𝗮𝘁𝗵 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 - Arrays and broadcasting - Vectorized operations - Basic statistics: mean, median, std 🧩 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗽 - Remove duplicates, rename columns - Apply functions row-wise or column-wise - Convert data types, parse dates ⚙️ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗣𝘆𝘁𝗵𝗼𝗻 𝗧𝗶𝗽𝘀 - List comprehensions - Exception handling (try-except) - Working with APIs (requests, json) - Automating tasks with scripts 💼 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼𝘀 - Sales forecasting - Web scraping for data - Survey result analysis - Excel automation with openpyxl or xlsxwriter ✅ Must-Have Strengths: - Data wrangling & preprocessing - EDA (Exploratory Data Analysis) - Writing clean, reusable code - Extracting insights & telling stories with data Python Programming Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L 💬Tap ❤️ for more!