Python to EXE with All Dependencies

Developing a Python application can be a rewarding experience, but sharing your creation with others might seem daunting, especially if your users are not familiar with Python environments. One solution to this dilemma is converting your Python script into an executable (.exe) file with all its dependencies included, making it simple for others to run … Read more

3 Easy Ways to Access and Update a Dictionary Key by Index in Python

Python dictionaries are a versatile and powerful data structure. A common query is: “How can I access a dictionary key using its index and subsequently update the dictionary?” In this article, I’ll delve into this specific problem and explore the three most Pythonic solutions. Problem Formulation Given a dictionary, for instance: How can you: Method … Read more

Python to EXE Linux: A Concise Guide to Conversion

Developing Python applications is a popular choice among programmers due to the versatility and ease of use of the language. However, there comes a time when you might want to distribute your Python application as a standalone executable, especially if your target audience isn’t familiar with Python itself. This is where the process of converting … Read more

Python Repeat String Until Length

The multiplication operator (*) allows you to repeat a given string a certain number of times. However, if you want to repeat a string to a specific length, you might need to employ a different approach, such as string slicing or a while loop. For example, while manipulating strings in Python, you may need to … Read more

Scalable Graph Partitioning for Distributed Graph Processing

I just realized that the link to my doctoral thesis doesn’t work, so I decided to host it on the Finxter blog as a backup. Find the thesis here: πŸ”— PDF Download link: https://blog.finxter.com/wp-content/uploads/2023/09/dissertation_christian_mayer_distributed_graph_processing_DIS-2019-03.pdf Here’s the abstract: πŸ’‘ Abstract: Distributed graph processing systems such as Pregel, PowerGraph, or GraphX have gained popularity due to their … Read more

Top 10 LLM Training Datasets – It’s Money Laundering for Copyrighted Data!

I’ve read the expression of large language models (LLMs) being “Money Laundering for Copyrighted Data” on Simon Willison’s blog. In today’s article, I’ll show you which exact training data sets open-source LLMs use, so we can gain some more insights into this new alien technology and, hopefully, get smarter and more effective prompters. Let’s get … Read more

The Most Pythonic Way to Get N Largest and Smallest List Elements

Using heapq.nlargest() and heapq.nsmallest() is more efficient than sorting the entire list and then slicing it. Sorting takes O(n log n) time and slicing takes O(N) time, making the overall time complexity O(n log n) + O(N). However, heapq.nlargest() and heapq.nsmallest() have a time complexity of O(n log N), which is more efficient, especially when … Read more

[BREAKING] Tesla Car Drives Elon Musk in Epic Livestream (FSD V12): NOTHING BUT NETS–All The Way Down!

Wow, Tesla Full Self-Driving (FSD), the most incredible real-world software system humanity has ever seen, doesn’t rely on explicit code. It’s an end-to-end neural network solution. The new paradigm is: there is no explicit coding; the code is … neural net weights trained on massive data! 🀯 In a recent live stream, Elon Musk and … Read more

55 Best Ideas to Make Money with Python

Python, a powerful, high-level, object-oriented programming language, is used in several domains, such as web development, data science, machine learning, AI, and more, opening many avenues to make money with Python. Let’s get started with the main ways to create Python-based income streams. πŸ“ˆπŸ§‘β€πŸ’»πŸ‘‡ Also, make sure to check out my other two articles on … Read more