Learn Python from basic to advanced. Practice coding with live project including Web applications, Data analysis, Machine learning and AI
What you'll get in this course
20 hours ofLIVEClass
8 hours on-demand video
Full lifetime access
Quick Support from Instructor
Live Project, Assignments & Quizzes
Job Assistance, Interview Preparation
Certificate of Course Completion
Python is a high-level, interpreted programming language that was first released in 1991 by Guido van Rossum. It is an open-source language that has gained widespread popularity due to its simplicity, readability, and ease of use. Python is known for its large standard library and a vast array of third-party modules, which makes it suitable for a wide range of applications, including web development, data analysis, machine learning, scientific computing, and more. One of the main advantages of Python is its ease of learning and use, as its syntax is clear and concise. Additionally, Python has a large and active community, which provides support and resources for beginners and experienced programmers alike. Python can be run on various platforms, including Windows, Mac OS, and Linux, and it supports multiple programming paradigms, including object-oriented, functional, and procedural programming. Overall, Python is a versatile and powerful language that is widely used in industry, academia, and personal projects.
To complete this workshop, all you need is a code editor, a modern browser, and a connection to the Internet.
Python can be used to create a wide variety of applications, including:
Web applications: Python web frameworks like Django, Flask, and Pyramid can be used to create web applications, APIs, and dynamic websites.
Desktop applications: Python can be used to create desktop applications with GUI frameworks like PyQt, Tkinter, and wxPython.
Data analysis and visualization: Python has many powerful libraries for data analysis and visualization, including NumPy, Pandas, Matplotlib, and Seaborn.
Machine learning and artificial intelligence: Python has become the de facto language for machine learning and AI due to its extensive libraries, including TensorFlow, Keras, Scikit-learn, and PyTorch.
Games: Python can be used to create simple games with libraries like Pygame and Arcade.
Network applications: Python can be used to create network applications, such as FTP clients, network scanners, and chat applications.
Scientific computing: Python has many libraries for scientific computing, including SciPy, SymPy, and BioPython.
Automation: Python can be used to automate tasks, such as web scraping, file handling, and system administration.
Blockchain: Python can be used for blockchain development. In fact, there are several popular blockchain frameworks written in Python, such as Ethereum, Hyperledger Fabric, and Quorum.
Overall, Python's versatility and large ecosystem of libraries make it suitable for many types of applications.
Who this course is for:
Job Seeker, Students , Professors, Web Designer, Developer
Business man / Startup – owners, Entrepreneur, Any Computer Programmer, , and more
A mobile developer and want to extend an application across more than one platform, without having to re-implement it with each platform's language and tool set.
Anyone who has interest in hybrid mobile application development
Highly Recommended Course. Easy to Understand, Informative, Very Well Organized. The Course is Full of Practical and Valuable for Anyone who wants to Enhance their Skills. Really Enjoyed it. Thank you!!