Python and Jupyter Notebooks for beginners: Learn Python with Jupyter Notebook from scratch. In this introductory beginners course we will learn about the basics of Python and Jupyter notebook. You'll learn: How to install Jupyter Notebook, How to run the Jupyter Notebook Server, Common Jupyter Commands, Python Expressions, Python Statements, Python Variables, Python Data Types, Python Operators, Python Loops, Python Functions, Jupyter Components, Notebook Dashboard, Explore Notebook Interface,....
Python is a very popular and powerful programming language. Python is versatile and can be fun to use in creating powerful and useful applications. Python can be used to create a variety of applications types
From games, web applications,desktop applications. Python is also very prominently used in data science and data analysis.
Jupyter Notebook is an environment that we can use to experiment with Python interactively . It allows you to share live Python code with others .
In this introductory beginners course we will learn about the basics of Python and Jupyter notebook.
This Python tutorial for Data Science and Machine Learning will kick-start your learning of Python concepts needed for data science, as well as programming in general. Understand how to use the Jupyter Notebook, Understanding of Python from the beginning, Learn to use Object Oriented Programming with classes, Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more!
In this tutorial, we will learn how to develop graphical user interfaces by writing some Python GUI examples using the Tkinter package.