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Unclaimed ProfileThe Python Masterclass 2026 course, created by Ashutosh Pawar, offers an exhaustive, project-driven pathway designed to transform absolute beginners into job-ready software developers. Spanning over 80 hours of high-quality content, this comprehensive curriculum focuses heavily on practical application, guiding students through the development of 24 real-world projects. Learners will delve deep into the Python ecosystem, mastering fundamental programming concepts before advancing to complex frameworks. The course covers full-stack web development with Django and Flask, automation with Selenium, and computer vision with OpenCV. Students will also build desktop applications using Tkinter and PyQt6, handle databases with PostgreSQL, and perform deep data analysis using the Pandas library. This hands-on approach ensures that by the end of the course, participants will have a robust portfolio to showcase to top tech employers. Whether you are aiming to transition into a developer role, automate tedious tasks, or explore data science, this course provides the structured guidance and practical experience needed to succeed in the evolving tech landscape.
About the creator
Ashutosh Pawar
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Ashutosh Pawar is a dedicated technical educator and software development instructor committed to simplifying complex programming concepts for students at every level. With a deep focus on practical, hands-on learning, Ashutosh has built a reputation for bridging the gap between theoretical knowledge and real-world application. His pedagogical approach is rooted in the belief that the best way to master a new skill is by building tangible projects that solve actual problems. Through his comprehensive masterclasses, he guides learners through the intricacies of full-stack web development, the versatile capabilities of Python, and the foundational logic of JavaScript. Ashutosh emphasizes clear, concise…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Get Noticed By Top Companies By Building A Portfolio of 24 Real World Python Projects, Qualify for a Python Developer Jobs.
- Learn Python & Entire Frameworks Right From the Basics, No Prior Coding Knowledge Required.
- Learn How To Build Production Level Full Stack Web Applications With Python & Django
- Learn How To Use Python To Automate Social Media Posts Using Selenium
- Build Real World GUI Based Desktop, Database Oriented Applications in Python using Tkinter
- Learn How To Process Images & Videos Using OpenCV & Python
- Build Your Own Web Scraping Automation Tool Using Python
- Build Database Oriented Desktop Apps with Python, PostgreSQL & Tkinter.
- Learn How to Build Full Stack Web Applications with Python & Flask
- Learn The Most Popular Data Analysis Library Pandas & Perform Aata Analysis On A Comlpex Dataset Using Python & Pandas
- Learn Object Oriented Programming in Python
- Learn How To Perform File Compression & Decompression Using Python
- Analyse Supermarket Sales Data Using Exploratory Data Analysis With Python & Pandas
- Build a QR Code Generator Using Python To Convert URLs Into QR Codes
- Build A Text-To-Speech Converter Using Python
- Learn Cryptography By Hashing Passwords in Python
- Build A Production Level Full Stack Budget Tracker Web Application with Python & ChartJS
- Build A Desktop Based Calculator App Using Python & Tkinter
- Build A Video Downloader App with Python
- Learn PyQt6 To Build Real World Desktop Applications
- Build A Calculator App with PyQt6
- Build A Notepad App with PyQt6
Best For
- Absolute beginners seeking a structured path to becoming job-ready Python developers.
- Aspiring developers who want to build a diverse professional portfolio with 24 real-world projects.
- Learners looking to gain practical experience across web development, automation, and data analysis.
- Professionals aiming to transition into software engineering roles by mastering modern Python frameworks.
Not For
- Advanced software engineers already proficient in Python and its major ecosystems.
- Learners exclusively looking for theoretical computer science or algorithmic design rather than project-based implementation.
- Individuals seeking specialized academic research in areas like complex machine learning models or neural networks.
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