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Python Developers Worldwide
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Comprehensive Python programming from basics to advanced applications
3 Weeks • 12 Hours
3 Weeks • 12 Hours
2 Weeks • 8 Hours
4 Weeks • 16 Hours
2 Weeks • 8 Hours
3 Weeks • 12 Hours
Master Python across multiple domains and industries
Build dynamic websites and web applications with Django and Flask frameworks.
Analyze data, create visualizations, and build predictive models with Python libraries.
Implement ML algorithms and build intelligent applications with scikit-learn and TensorFlow.
Automate repetitive tasks, web scraping, and build productivity tools.
Your path to becoming a professional Python developer
Master Python syntax, data structures, functions, and object-oriented programming. Build console applications and understand programming concepts.
Learn Django and Flask frameworks. Build web applications, REST APIs, and work with databases. Understand web development patterns.
Dive into data science, automation, and deployment. Learn Pandas, NumPy, web scraping, and deploy applications to cloud platforms.
Choose a specialization (web dev, data science, or automation). Build portfolio projects, prepare for interviews, and learn deployment.
Build portfolio-worthy projects during the course
Build a complete online store with Django, featuring user authentication, shopping cart, payment integration, and admin panel.
Create an interactive dashboard for data visualization using Pandas, Plotly, and Flask with real-time data updates.
Develop a sophisticated web scraper that collects data from multiple sources, processes it, and exports to various formats.
Choose the right framework for your projects
"Batteries included" framework perfect for large-scale applications with built-in admin, ORM, and security.
Lightweight and flexible micro-framework ideal for small to medium applications and REST APIs.
Modern, fast web framework for building APIs with automatic documentation and async support.
Flexible framework that starts small and grows with your project, suitable for various applications.
Python powers applications across various industries
Instagram, Spotify, and Pinterest use Python for backend services and data processing.
JPMorgan, Goldman Sachs use Python for quantitative analysis, risk management, and trading algorithms.
Google, Facebook, and Tesla use Python for machine learning, computer vision, and natural language processing.
NASA, CERN use Python for data analysis, simulations, and scientific computing.
Why Python leads in developer satisfaction and job opportunities
High-demand roles for Python developers
Build applications, APIs, and backend systems using Python
Analyze data, build models, and extract insights using Python
Design and implement machine learning systems
Automate infrastructure and deployment with Python
Join thousands of students who have launched successful tech careers with Python
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