This is the code repository for Python for Beginners: Learn Python Programming (Python 3) [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.
- Go through curated issues that many developers face when building their deep learning models
- Discover the most efficient techniques to overcome classification problems in CNN
- Resolve issues that are related to the CNN architecture, accuracy, input, and output
- Work with LSTM, which is a part of RNN, and deal with the most efficient part of text problems
- Discover how to solve the most popular problems from architecture to input and output
- Implement the most usable libraries: Scikit Learn and Numpy, to resolve the major problems arising from your Deep Learning models
To fully benefit from the coverage included in this course, you will need:
This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.
This course has the following software requirements:
NA