Learn Python Through Exercises
Learn Python Through Exercises. Hatch as an Expert in Python by learning through practical programming exercises
The name of this course is Learn Python Through Exercises. The knowledge you will get with this indescribable online course is astonishing. Hatch as an Expert in Python by learning through practical programming exercises.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Dhruv Bais, one of the very best experts in this field.
Description of this course: Learn Python Through Exercises
Course Description You are interested in learning Python and getting into the wide realm of programming and intense Tech Entrepreneurship. You have probably wondered what is the most practical way of learning Python (which to be frank, gives you the key to ruling the technology industry). I have learned over 10 programming languages such as JAVA, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, Java Script. I have also had a successful freelancing career programming software and mobile applications. Since technology is changing every day, I have to learn something new every time. The best way that you can learn how to program is “to program”. Yet, nobody teaches in this manner and I suffer from the same pain when learning something new every time. Most courses are not designed to help you learn by example (immersion is the most potent way of learning in humans). Rather they bathe you with inapplicable information that you have to learn over and over again anyways. This course covers not only the basics of syntax in Python, but also covers the more advanced data structures and data types like Strings, Lists, Dictionaries, and Tuples. However, only 3 videos are used to explain the overviews of all this information. I develop the rest of the details of the data structures and syntax through exercises that I walk you through in the course. The first part of the course is the introduction to these structures and the syntax. There are 4-5 lectures on solving tough exercises on each subject so that you can understand not only the syntax and how to the program python, but also what the crux of programming is in terms of how we solve problems programmatically and harness the POWER of Python. There is no risk for you as a student in this course. I have put together a course that is not only worth your money, but also worth your time. This course encompasses the basics of Python programming and I urge you to join me on this journey to learn how to dominate the entrepreneurial world with the most powerful language: Python.
Requirements of this course: Learn Python Through Exercises
What are the requirements? Download TextWrangler for Python version Download Python from python.org and undergo the installation of python engine and compiler on your engine Python works wonderfully with all OS but having a Mac (already have python installed in their system) or Windows OS will allow you to follow this specific python training more closely.
What will you learn in this course: Learn Python Through Exercises?
What am I going to get from this course? Solve problems programmatically with Python Get a head start in the complex technologies (simplified by Python of course) of modern day programming Understand why Python is such powerful programming language (especially Python 3.4) Obtain the opportunity to learn more complex things like Machine Learning at the end of the course Obtain the opportunity to learn more complex things like Machine Learning in Python at the end of the course
Target audience of this course: Learn Python Through Exercises
Who is the target audience? This course is suited for everyone interested in technology entrepreneurship (Python is used by 54% of all startups) All aspects of Python programming are taught in this course, no prior programming experience is required Familiarity in non Python specific aspects of programming can be helpful, for example object oriented programming which is a universal topic not confined to python