Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.28 GB | Duration: 12h 21m
Python In Advanced
What you’ll learn
Understand how to create your own Python programs.
Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc.
In this python advanced training , you will learn basic web concepts, data base management system, memory location, Solid principles etc.
starts to learn various exceptions & errors that happened frequently in python.
Get to learn package manager, PIP installation, getter & setter etc.
you will learn iterator, decorator & generator.
also will discuss the regular expressions, file handling, memory location, trees etc.
also learn the importance & application level of bootstrap, style tags & CSS in python.
Description
Dear python lovers,
Suggest that if you are looking for a training from the very basic please have a look in to our course ‘Python for beginners with real time examples-2022’ and come back to our Python advanced..
Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high-paying jobs you need expert knowledge of Python, and that’s what you will get from this course. Python is an in-demand programming language that can help you unlock the door to a better-paying job. Whether you’re a new programmer looking to switch careers or an experienced coder looking to expand your fit within a challenging job market, this path will provide you with the foundational skills for coding in Python.
By the end of the course, you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.
Python is a great choice for building all kinds of applications, but to fully take advantage of its power and flexibility, you need to master all its advanced functionality. In this course, you can learn how to leverage next-level Python features such as object-oriented special class methods, use logging to track performance and user activity, see how to port code from Python 2 to 3, and make your code more efficient and easier to read and maintain.
Who this course is for
Programmers switching language to python.
Beginners who has great aspire to learn advanced python concepts.
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