Python Projects & Resources

10 Steps to Landing a High Paying Job in Data Analytics 1. Learn SQL - joins & windowing functions is most important 2. Learn Excel- pivoting, lookup, vba, macros is must 3. Learn Dashboarding on POWER BI/ Tableau 4. ⁠Learn Python basics- mainly pandas, numpy, matplotlib and seaborn libraries 5. ⁠Know basics of descriptive statistics 6. ⁠With AI/ copilot integrated in every tool, know how to use it and add to your projects 7. ⁠Have hands on any 1 cloud platform- AZURE/AWS/GCP 8. ⁠WORK on…

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🐍 Build Video Generation Apps with Kandinsky 6.0 Video Kandinsky 6.0 Video is out — an open-source lineup (MIT license) for creating videos with synchronized sound: the flagship Pro (29B) and the lightweight Lite (3B), which runs even on consumer GPUs. Perfect for Python developers building creative applications. 💡 Project ideas: • Content creation platform • Educational video generator • Marketing automation tool • ASMR content creator • Meme animator 🔧 Integration guide: The model works wit…

🚀 Python Basics Part 2 🐍🔥 Control Flow in Python Now that you know Python basics, it’s time to make programs smarter using conditions and loops. 💻 In this part, you’ll learn: ✅ if-else Statements ✅ Loops ✅ break & continue ✅ Nested Conditions 🧠 1. if Statement in Python "if" is used to check conditions. Example: age = 18 if age >= 18: print("Eligible") 📌 Output: Eligible ✔ The code runs only if the condition is True. 🔀 2. if-else Statement Used when there are two possible outcom…

✅ Python Basics: Part-1 Data Types & Variables 🐍📚 🎯 What is a Variable? A variable stores data in memory to be used and modified later. Example: name = "Alice" age = 25 🔹 Common Python Data Types: ● String (str) – Text data message = "Hello, World" ● Integer (int) – Whole numbers count = 42 ● Float (float) – Decimal numbers price = 19.99 ● Boolean (bool) – True or False is_valid = True ● List (list) – Ordered, mutable sequence fruits = ["apple", "banana", "cherry"] ● Tuple (tuple) – Ordered, …

🎯 GigaChat 3.5 Reasoning: 5 Key Features 1️⃣ Advanced Reasoning: Explores multiple step-by-step paths, using automated verification to reinforce correct answers and self-correct 2️⃣ Autonomous Tool Usage: Independently decides when to call external APIs or revise earlier steps 3️⃣ Linear Attention: Proprietary architecture retains key context points without re-matching from scratch 4️⃣ Token Economy: Uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems 5️⃣ Proven Performanc…

Python Interview Questions with Answers

A-Z of essential data science concepts A: Algorithm - A set of rules or instructions for solving a problem or completing a task. B: Big Data - Large and complex datasets that traditional data processing applications are unable to handle efficiently. C: Classification - A type of machine learning task that involves assigning labels to instances based on their characteristics. D: Data Mining - The process of discovering patterns and extracting useful information from large datasets. E: Ensemble L…

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📊 Pandas Cheatsheet Every Data Analyst Should Save Pandas is one of the most important tools for data analysis. Master these core operations to work faster and more efficiently: 🔹 Read & Inspect Data head(), shape, dtypes, describe() 🔹 Select & Filter Data Extract relevant rows and columns with ease. 🔹 Row Selection Use loc[] (labels) and iloc[] (positions). 🔹 Handle Missing Values isnull(), dropna(), fillna() 🔹 Group & Aggregate Summarize data using groupby() and aggregation functions. 🔹…

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