Python is the fourth (48.07%) most used programming language among developers worldwide.
Let’s have a quick look into what makes Python the best choice for a great coder.
Python is a high-level, open-source programming language. It has gained popularity for its dynamism and diversity to use with a wide range of desktop applications, web applications, operating systems, AI applications, and more. This powerful programming language is easy to understand and memorize the syntax even for beginners.
Over a while, this programming language allows you to work on both user interface designing (Front-End) and user experience development (Back-End). You can immerse in this dynamic programming language for any application or software or interface development.
Career Trove’s full-stack python development course curriculum begins with the fundamentals of python programming. Followed by complex topics including programming styles, idioms, libraries, data structures, data visualization, databases, and more. By the end of this course, you will be gaining in-depth knowledge of packages such as SciPy, Pandas, Numpy, Lambda functions, and web scraping tools. This advanced python full-stack development course can also help you build applications in big data python programming. This course for full-stack python developers will be your gateway to starting a career in data science.
Reinforce your profile with abundant skills and stand out in the Job Market!
We provide 100% job placement assistance to start your career in python as a python software developer.
During the training period, we conduct practice tests and mock interviews to analyze your performance and enhance your interview skills. We examine your technical competence. You are then made to focus on respective aspects until you achieve your dream job.
In this complete course, you will get acquainted with the following courses –
HTML & CSS to build the websites
JavaScript for front-end and back-end application development.
Backend languages like core & advanced python, REST API, Mongo DB.
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2 Comments
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