11 courses for Python

Contain 25 videos having brief knowledge about python programming and live projects

Unlock the power of Python programming with a structured, hands-on approach. This course will guide you through: The fundamentals of Python syntax and concepts Writing efficient Python code for real-world applications Working with data, loops, functions, and libraries Building projects that reinforce your learning Tips and best practices from industry experts to write clean, maintainable Python code Whether you’re starting from scratch or looking to sharpen your skills, this course provides a clear path to becoming a confident Python programmer.

Complete Python Programming Course – Recorded Classes 📅 50+ Sessions | Beginner to Advanced | Projects Included This course is designed to take you from zero to production-ready Python developer. All sessions are hands-on, code-driven, and project-based, with recordings, notes, and assignments included. Core Python (Beginner → Intermediate) First Python Code, Virtual Environment Conditional Statements, Loops (for, while, break, continue) Lists, Tuples, Dictionaries, Sets List Comprehensions, Pattern Problems File Processing: Text, CSV, JSON Object-Oriented Programming (OOP) Classes, Objects, Attributes, Methods Self & __init__ deep dive Abstraction, Encapsulation, Inheritance Polymorphism & Advanced OOP Advanced Python Exception Handling (basic → custom exceptions) Functions: Basics, Advanced, Lambdas, Closures Regex (basic → advanced) Logging (basic, custom handlers) Dunder/Magic Methods Data & EDA Pandas, NumPy, Matplotlib, Seaborn Data Collection & Inspection Handling Missing Values (imputation, filling) JSON Data Parsing Projects Extras & Real-World Skills Async & Multithreading basics PostgreSQL Connection Full-stack Python Projects with Deployment Docker, GitHub Actions, Unit Testing/Pytest Good Coding Practices, Linting, Type Hinting Lifetime access to recordings Code, assignments & projects included Updated continuously with new sessions

No prior coding experience? No problem! This beginner-friendly Python for Data Science course equips you with the fundamental programming skills to launch into data science. Learn core Python concepts, explore essential libraries like NumPy and Pandas, and master data manipulation and visualization using Jupyter Notebooks. By the end, you'll be writing Python scripts and transforming data into insights.

Eligible : Open To all Freshers & College Students (UG,PG) What We Offer ? (Mode : Online Remote ) ✅ Internship + Training with Offer Letter & Course Completion Certificate ✅ ₹25,000 Per Month Internship For 6 Months After Course Completion . ✅PPO up to 4.5–8 LPA( Based on internship performance ) ✅ Duration: 1 to 6 Months. ✅ Weekend Live Session: Every Sunday at 6 PM ✅ Letter of Recommendation Included ✅ 100% Placement Support After Course + Projects ✅ 4 Minor & 2 Major Real-Time Projects ✅ Lab Sessions for Every Chapter ✅ Python Programming: Scratch to Advanced Level ✅ Recorded Theory & Lab Sessions + Weekly Assignments 📘 Python Course Index – Scratch to Advance Introduction to Python Python Installation & Setup Basic Syntax and Structure Variables and Data Types Operators in Python Input, Output & Type Casting Control Statements (if, elif, else) Loops (for, while) Functions & Lambda Expressions Lists, Tuples, Sets & Dictionaries Strings & String Methods Modules & Packages File Handling Exception Handling Object-Oriented Programming (OOP) Python Libraries (OS, Math, Random, etc.) Virtual Environments & PIP Python Data Structures (Advanced) Regular Expressions (Regex) Python Decorators & Generators Working With JSON & APIs Python Database Connectivity (MySQL / SQLite) Python for Data Analysis (Pandas, NumPy) Python for Visualization (Matplotlib) Python for Automation (Scripting) Testing & Debugging in Python Mini Projects Major Projects (Advanced)

Want to learn Python fast and effectively? This 1.5-hour crash course is designed to teach you the core Python concepts visually using animations, RAM execution insights, and live code tracing. ✅ What You’ll Learn: Python variables & data types Lists, tuples, sets, and dictionaries Control flow (if-else, loops) Functions & lambda functions String manipulation This course is perfect for beginners and non-IT learners looking for an easy, engaging, and visual way to understand Python. Start coding with confidence today!

Eligible : Open To all Freshers & College Students (UG,PG) What We Offer ? (Mode : Online Remote ) ✅ Internship + Training with Offer Letter & Course Completion Certificate ✅ ₹25,000 Per Month Internship For 6 Months After Course Completion. ✅PPO up to 4.5–8 LPA( Based on internship performance ) ✅ Duration: 1 to 6 Months . ✅ Weekend Live Session: Every Sunday at 6 PM ✅ Letter of Recommendation Included ✅ 100% Placement Support After Course + Projects ✅ 4 Minor & 2 Major Real-Time Projects ✅ Lab Sessions for Every Chapter ✅ Python Full Stack Web Development : Scratch to Advanced Level ✅ Recorded Theory & Lab Sessions + Weekly Assignments 📘 Python Full Stack Web Development Course Index – Scratch to Advance Introduction to Full Stack Development Python Programming Basics Advanced Python Concepts Git & GitHub Frontend Development (HTML, CSS, JavaScript) Advanced JavaScript Backend Development with Python Frameworks (Flask/Django) REST API Development Database Management (SQL & ORM) Frontend–Backend Integration Full Stack Project Development Deployment & Hosting Testing & Debugging Advanced Topics in Full Stack Minor & Major Projects Career Preparation & Interview Training

4+ hours of lectures to help you learn the basics. You don't know "P" of python? You don't know "T" of Technology? No problem. This is made for people who want to learn. It doesn't matter if you are in school/Non-IT professional, starting your journey etc. Topics covered: What is python? Why to use? Variables Data types: Int, Float, Strings String Methods Type Conversion Lists Lists Methods Tuples Tuples Methods For loops Functions Numpy - Basics + Additional Resources! You can work as a Data Analyst, Data Scientist, Data Engineer, SDE etc by using Python!

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