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In Python the requirements.txt file helps manage dependencies. It's a simple text file that lists the packages that your Python project depends on. But did you know you can also specify a direct GitHub repo as a source in your requirements.txt? In this Byte, we'll explore how and...
Scott Robinson
In Python, pip is a widely used package manager that allows developers to install and manage 3rd party libraries that are not part of the Python standard library. When working within a virtual environment, you may need to make sure that pip itself is up-to-date. This Byte will guide you...
Sometimes when working with Pandas in Python, you might encounter an error message saying "Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()". This Byte will help you understand this error, why it occurs, and how to fix...
In Python, you may have come across a string literal prefixed with the 'b' character and wondered what it means. This Byte aims to shed light on this feature of Python strings, its connection with Unicode and binary strings, and how it can be used in your code. Binary Strings...
In Matplotlib, there are a number of ways to close plots, including the functions cla(), clf(), and close(). These functions are helpful tools for managing our plots. But when should we use each one? Let's take a look. Using cla() to Clear a Plot The cla() function stands for "...
One of the challenges you may encounter when working with file paths is extracting the file name from the path, which can vary depending on the operating system and the format of the path. In this Byte, we'll explore how to tackle this problem using Python's built-in os.path module....
When working with data in Python, Pandas is a library that often comes to the rescue, especially when dealing with large datasets. One of the most common tasks you'll be performing with Pandas is data indexing and selection. This Byte will introduce you to two powerful tools provided by Pandas...
Data processing is a common task in any data analysis codebase. And in Python, the Pandas library is one of the most popular tools for data analysis, which also provides high-performance, easy-to-use data structures and data analysis tools, one of which is the DataFrame. In this Byte, we're going to...
Article
Even with a "simple" language like Python, it's not immune to performance issues. As your codebase grows, you may start to notice that certain parts of your code are running slower than expected. This is where profiling comes into play. Profiling is an important tool in every developer's...
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