TensorFlow vs PyTorch – A Detailed Comparison.One Sample T Test – Clearly Explained with Examples | ML+.Understanding Standard Error – A practical guide with examples.T Test (Students T Test) – Understanding the math and how it works.Mahalanobis Distance – Understanding the math with examples (python).How to implement common statistical significance tests and find the p value?.What is P-Value? – Understanding the meaning, math and methods.Chi-Square test – How to test statistical significance?.Vector Autoregression (VAR) – Comprehensive Guide with Examples in Python.Time Series Analysis in Python – A Comprehensive Guide with Examples.ARIMA Model – Complete Guide to Time Series Forecasting in Python.Augmented Dickey Fuller Test (ADF Test) – Must Read Guide.What does Python Global Interpreter Lock – (GIL) do?.Lambda Function in Python – How and When to use?.Python Yield – What does the yield keyword do?.cProfile – How to profile your python code.Python Collections – An Introductory Guide.Requests in Python Tutorial – How to send HTTP requests in Python?.datetime in Python – Simplified Guide with Clear Examples.Python Logging – Simplest Guide with Full Code and Examples.Python Regular Expressions Tutorial and Examples: A Simplified Guide.Python Explained – How to Use and When? (Full Examples). Parallel Processing in Python – A Practical Guide with Examples.List Comprehensions in Python – My Simplified Guide.Object Oriented Programming (OOPS) in Python.Python Module – What are modules and packages in python?.Iterators in Python – What are Iterators and Iterables?.Generators in Python – How to lazily return values only when needed and save memory?.Decorators in Python – How to enhance functions without changing the code?.How to deal with Big Data in Python for ML Projects (100+ GB)?.Here is how we can learn about the query function of Pandas library. We just need to add ? at the end of the function name. In such cases, we can learn about the signature and docstring of a function inside the Jupyter notebook. We sometimes can’t remember what a function does exactly or its syntax. Those libraries typically have a lot of functions and methods. Python has a rich selection of third party libraries, which simplify tasks and speed up development processes. If only one cell is selected, it is merged with the cell below. ESC + SHIFT + M merges selected cells.ESC + DOWN or ESC + J selects the cell below.ESC + UP or ESC + K selects the cell above.CTRL + D (⌘ + D in Mac) deletes what is written in the current line.There are several shortcuts that you can use in Jupyter notebooks. Here are some examples that will help you get more productive. Magic commands start with the “%” syntax element. They are quite useful for performing a variety of tasks. Magic commands are built-in for the IPython kernel. If a cell is not needed anymore, you can delete it with “ESC + D + D”. We can hide a cell output with “ESC + O” and unhide by pressing these keys again. However, some outputs take too much space and make the overall content hard to follow. This is very useful because you do not have to execute a cell each time you want to check its output or results. One of the great features of Jupyter notebooks is that they maintain the state of execution of each cell.
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