Since I frequently handle textual data with Python 🐍, I’ve encountered the challenge of converting lists of strings into different data types time and again. This article, originally penned for my own reference, decisively tackles this issue and might just prove useful for you too! Let’s get started! 👇 Python Convert List of Strings to … Read more
If you’re working with data in Python, you might have come across the pandas library. 🐼 One of the key components of pandas is the Series object, which is a one-dimensional, labeled array capable of holding data of any type, such as integers, strings, floats, and even Python objects 😃. The Series object serves as … Read more
Setting up the Environment Before diving into web scraping with Python, set up your environment by installing the necessary libraries. First, install the following libraries: requests, BeautifulSoup, and pandas. These packages play a crucial role in web scraping, each serving different purposes.✨ To install these libraries, click on the previously provided links for a full … Read more
To convert a list of tuples to a Pandas DataFrame, import the pandas library, call the DataFrame constructor, and pass the list of tuples as the data argument such as in pd.DataFrame(tuples_list, columns=[‘Number’, ‘Letter’]). Here’s a minimal example: The output of the given code will be a Pandas DataFrame with two columns, ‘Number’ and ‘Letter’, … Read more
Problem Formulation Working with Python often involves processing complex data structures such as dictionaries and lists. In many instances, it becomes necessary to convert a dictionary of lists into a more convenient and structured format like a Pandas DataFrame 🐼. DataFrames offer numerous benefits, including easier data handling and analysis 🔍, as well as an … Read more
Boolean indexing in Pandas filters DataFrame rows using conditions. Example: df[df[‘column’] > 5] returns rows where ‘column’ values exceed 5. Efficiently manage and manipulate data with this method. Here’s an easy example: This code creates a DataFrame with data for four people, then uses boolean indexing to filter out the rows with an age greater … Read more
🥒 Python pickling is another word for serializing and de-serializing Python objects, so you can store them in a binary format or transmit them across a network. Pickling helps preserving the state of objects, such as data structures or machine learning models, between different sessions or applications. The pickle module in Python’s standard library provides … Read more
In this article, I will discuss a popular and efficient way to work with structured data in Python using DataFrames. 💡 A DataFrame is a two-dimensional, size-mutable, and heterogeneous tabular data structure with labeled axes (rows and columns). It can be thought of as a table or a spreadsheet with rows and columns that can … Read more
As a Python developer, I’ve always been fascinated by the simplicity and versatility of the language. Python has always been my go-to language for all my programming needs, from its clean syntax to the vast array of libraries available. I recently had to work on a project requiring me to convert numbers to their hexadecimal, … Read more
Working with different number systems and their representations is a common practice in the world of programming. One such conversion involves changing integer values into their corresponding hexadecimal representations. In Python, this transformation can be achieved with ease by utilizing built-in functions and string formatting techniques. Hexadecimal, also known as base-16, is a number system … Read more
A good friend and his wife recently founded an AI startup in the lifestyle niche that uses machine learning to discover specific real-world patterns from videos. For their business system, they need a pipeline that takes a video file, converts it to audio, and transcribes the audio to standard text that is then used for … Read more
For my current web project I need to upload 200 images to my website. All of them are in the same folder. Here’s the problem: 🤯 Challenge: My images have file sizes of 2 to 3 MB, so they are far too big and will significantly slow down my website. 👉 To reduce the file … Read more