sethserver / all posts
All Posts
Tokens in NLP and LLMs: The Building Blocks of AI Language Understanding
AI
Tokens: The Linguistic Legos of AI Language Models Dive into the world of tokens, the fundamental building blocks that power Natural Language Processing and Large Language Models. From basic word splitting to sophisticated subword techniques, discover how these unsung heroes enable machines to understand and generate human language with surprising accuracy. Uncover the methods, challenges, and future of tokenization in this comprehensive exploration of the linguistic units that bridge the gap between human communication and artificial intelligence. read on »
Know When to Stop: Business Functions That Don't Need Disruption | Startup Tips
Startups
In the fast-paced world of startups, disruption is often seen as the holy grail. However, not every business function needs a revolutionary overhaul. This post explores five key areas where startups should tread carefully: payroll processing, regulatory compliance, accounting practices, basic infrastructure, and customer service. By respecting established practices in these areas, entrepreneurs can build a stable foundation for true innovation where it matters most. read on »
Navigating the AI Resume Revolution: Uncovering Authentic Talent for Startups
Startups
In this insightful post, a seasoned startup veteran shares five battle-tested techniques for navigating the AI resume revolution. From identifying unnaturally formal language to implementing practical skills assessments, these strategies help startups uncover authentic talent in an era of AI-generated applications. The author emphasizes the importance of embracing the human element in hiring while adapting to the changing landscape of recruitment in the AI age. read on »
Vector Spaces: The Foundation of Modern Machine Learning | Python, AI, and NLP Insights
AI
Vector spaces: the unsung heroes of modern machine learning. From natural language processing to image recognition, these mathematical constructs form the backbone of AI. But what exactly are they, and why are they so crucial? This post demystifies vector spaces, exploring their history, basic concepts, and real-world applications. We'll dive into multi-dimensional visualization, compare traditional embeddings with LLM approaches, and even create a simple fruit-based vector space. Whether you're a beginner or a seasoned pro, understanding vector spaces is key to navigating the complex world of artificial intelligence. read on »
The AI Symphony: Why Orchestrating Specialized Systems Trumps AGI
AI
The pursuit of Artificial General Intelligence (AGI) may be misguided. Instead of creating a singular, omniscient AI entity, we should focus on orchestrating a symphony of specialized AI systems. This approach leverages current AI capabilities, allows for faster development and deployment, and mitigates ethical concerns associated with AGI. By embracing an AI orchestra rather than a single all-knowing entity, we can create practical, powerful AI tools that tackle complex real-world challenges while complementing human capabilities. read on »
Excel's Date Dilemma: From Phantom Leap Years to AI-Assisted Fixes
Programming
Excel's date handling quirks offer a fascinating glimpse into the complex world of software development, where early design decisions can have far-reaching consequences. From the infamous 1900 leap year bug to gene names accidentally becoming dates, Excel's temporal tribulations serve as a reminder of the challenges in balancing backwards compatibility with accuracy. As we continue to rely on this ubiquitous spreadsheet tool, its date-related idiosyncrasies persist, shaping how we interact with data and influencing fields from genetics to international business. read on »
Startup Death-Flailing: The Final Throes of Failing Ventures
Startups
Explore the telltale signs of struggling startups in their final stages, including communication silence, hiring freezes, desperate pivots, extreme cost-cutting, executive departures, and frantic searches for saviors. Learn valuable lessons from these experiences for founders, investors, and the broader startup ecosystem. read on »
10 MySQL Performance Tuning Tips for Faster Queries
MySQL
Discover 10 essential MySQL performance tuning tips to optimize your database queries. Learn about proper indexing, query optimization, table structure, caching, server configuration, and more to significantly improve your database efficiency and speed. read on »
Building a Minimum Viable Product (MVP) for Your Tech Startup
Startups
Learn how to build a successful Minimum Viable Product (MVP) for your tech startup, from focusing on core features to gathering user feedback and pivoting when necessary. Discover real-world success stories and avoid common pitfalls in this comprehensive guide. read on »
The Lean Startup Method: A Guide for Tech Entrepreneurs
Startups
Explore the Lean Startup methodology for tech entrepreneurs, covering its core principles, build-measure-learn loop, MVP creation, pivoting strategies, and customer development techniques. Learn how to apply these concepts to build successful, innovative startups through real-world examples and practical tips. read on »
AI-Driven Code Optimization: Automating Performance Tuning in Python
AI
Explore how AI techniques are revolutionizing Python code optimization, from automated bottleneck identification to intelligent algorithm selection and data structure optimization. Learn about current tools, future possibilities, and the balance between AI assistance and human expertise in creating high-performance Python applications. read on »
The Art of Code Refactoring: Transforming Legacy Python Projects
Programming
Discover essential techniques for refactoring legacy Python projects, including modularization, design patterns, and syntax updates. Learn how to improve code quality, reduce complexity, and enhance maintainability while preserving functionality in this comprehensive guide to code refactoring. read on »
Asynchronous Programming with Python: Boosting Performance and Scalability
Programming
Explore asynchronous programming in Python using asyncio to boost application performance and scalability. Learn key concepts, practical examples, and best practices for handling concurrent operations efficiently in I/O-bound scenarios. read on »
Functional Programming in Python: Embracing Elegance and Efficiency
Programming
Explore functional programming in Python with lambda functions, map, filter, and reduce. Learn to write cleaner, more efficient code using these powerful techniques for data manipulation and program structure. read on »
Python Design Patterns: Implementing Elegant Solutions to Common Problems
Programming
Explore Python design patterns including Singleton, Factory, and Observer, with code examples and real-world applications. Learn how to implement elegant solutions to common programming problems and create more maintainable, scalable Python code. read on »
Mastering Python's itertools: Efficient Data Processing and Manipulation
Python
Explore Python's itertools module for efficient data processing and manipulation. Learn about iterators, generators, and key functions like cycle(), repeat(), chain(), product(), permutations(), and combinations(). Discover real-world applications and best practices for optimizing your code using itertools. read on »
Python vs JavaScript: Choosing the Right Language for Your Next Project
Programming
A comprehensive comparison of Python and JavaScript, exploring their strengths, ecosystems, and ideal use cases to help developers choose the right language for their next project. read on »
Type Hinting in Python: Improving Code Clarity and Catching Bugs Early
Python
Explore Python type hinting to improve code clarity, catch bugs early, and enhance development efficiency. Learn syntax, complex annotations, benefits, best practices, and tools like mypy for static type checking in this comprehensive guide. read on »
Functional Programming in Python: Beyond List Comprehensions
Python
Explore advanced functional programming techniques in Python beyond list comprehensions. Learn about higher-order functions, lambda expressions, and practical applications using the functools module to write more elegant and efficient code. read on »
Python's Hidden Gems: Lesser-Known Built-in Functions That Will Boost Your Productivity
Python
Discover Python's hidden gems: lesser-known built-in functions that boost productivity. Learn about enumerate(), zip(), any(), all(), and more to write efficient, readable, and Pythonic code. Elevate your Python skills with these powerful yet underutilized tools. read on »
Mastering Python's Context Managers: Beyond the Basic 'with' Statement
Python
Explore Python's context managers beyond basic 'with' statements. Learn to create custom managers, handle multiple resources, and use them for timing and logging. Discover how mastering context managers can enhance your Python skills and even relate to startup management. read on »
Python's Walrus Operator: Simplifying Assignment Expressions
Python
Explore Python's walrus operator (:=), a powerful feature for simplifying code. Learn its syntax, common use cases, potential pitfalls, and best practices. Discover how this assignment expression can enhance readability and efficiency in various programming scenarios, from data processing to game development. read on »
Don't Neglect Your Elders: The Continued Usefulness of Older Machine Learning Models
AI
Explore the continued relevance of older machine learning models in real-world applications. This post discusses the strengths, use cases, and enduring value of classic algorithms like Naive Bayes, linear regression, and SVMs, emphasizing the importance of choosing the right tool for the job in AI and data science. read on »
Deploying Python Web Applications with Docker: A Comprehensive Guide
Programming
Docker is a tool that allows you to package your application and its dependencies into a container that can be run on any system. This makes it easy to deploy your application to different environments without having to worry about dependencies. read on »
Python Environment Setup Guide: Best Practices for Virtual Environments and Dependencies
Python
Python is an amazing language and it's easy to get started. However, there are a few things you should do to ensure your environment is setup properly. read on »
Stop Lying about Technical Debt: Redefining the Concept for Startups
Startups
Technical debt is a term that has been used to describe a myriad of different things. The most common use of the term is to describe the amount of work that needs to be done to fix a system that has been poorly designed or implemented. read on »
Preventing SQL Injection: Secure Database Practices in Python
MySQL
SQL Injection is a type of attack that allows malicious users to inject SQL statements into non-validated queries. This can be used to read and modify data in your database. read on »
Strong and Secure Random Password Generator
Security
This random password generator creates strong random plain text passwords using the PCG32 random number generator without sending the password over the internet or storing the generated password on a server. read on »
Unicode Random Password Generator: Secure, Strong Passwords with Unicode Characters
Security
Use the unicode random password generator to create secure passwords using unicode characters such as emojis and extended latin characters. Unicode passwords are much more secure than traditional ASCII passwords. read on »
Strong Random Passphrase Generator: Create Secure, Memorable Passwords
Security
This secure random passphrase generator creates random plain text passphrases using the PCG32 random number generator without sending them over the internet or storing them on a server. read on »
A Third AI Future: Practical Applications of Machine Learning in Everyday Life
AI
The horrifying - yet eerily familiar - dystopia full of murder-bots and all-knowing robot overlords; and the oh-so-close utopia featuring flying cars and droid servants darting around: these futures have been part of our collective imagination for over a century now. As much as I love Sci-Fi, I am compelled to promote a less intense and much more practical future. read on »
Why is Python So Popular Despite Being Slow? | Python Performance Explained
Python
Let me reframe this question using different technology. Why are Toyota Corollas so popular despite being so slow? They're obviously much slower than rocket powered aircraft! Things just got crazy, right? Let's do some math to prove our point about how slow Toyota Corollas really are when compared to rockets. read on »
Essential Programming Books: Seth's Curated List for Developers
Programming
I love consuming new information. The first big breakthrough in my reading journey was Amazon's book delivery service. It was no longer necessary for me to coerce one of my parents into driving to B. Dalton and watch as I aimlessly wandered... read on »
Decoding Tech Entrepreneurship: Startup Myths vs. Realities
Startups
The Startup Conundrum: Decoding the Myths and Realities of Tech Entrepreneurship From coffee shop visionaries to family members with the "next big thing," we've all encountered self-proclaimed startup gurus. But what really defines a startup, and how does it differ from a traditional small business? This post dives into the high-stakes world of tech entrepreneurship, exploring the unique characteristics of startups - from their inherent riskiness and lack of traditional structure to their ability to pivot quickly and aim for moonshot goals. We'll also examine the startup funding puzzle and the exit-focused mindset that sets these ventures apart from their small business counterparts. Whether you're considering launching a startup or simply curious about the ecosystem, this exploration will help you navigate the complex landscape of tech entrepreneurship. read on »
Conducting Consistent Engineering Interviews: A Framework for Success
Startups
After more than two decades as an engineer and over a decade as a hiring manager I've experienced my fair share of terrible engineering interviews. From quizzes to whiteboarding, take-home tests to awkward real-time coding exercises; I feel as though every startup I've worked at has had the exact same growing pains. read on »
How to Create a New MySQL User: A Secure Guide
MySQL
It's generally considered bad form to use the root MySQL user to manage and query your database. One of the first things I do after spinning up a MySQL database is create users with varying degrees of permissions. read on »
Secure GitHub Deployments: Using Multiple SSH Keys for Repositories
Programming
GitHub does not like using the same deploy key across multiple repositories. Try it, you'll get a really fun "Key is already in use" error in a lovely pink box at the top of your screen. What if we have multiple repositories residing on one server? How do we pull from different repositories using the same user? read on »
COVID-19 Quarantine Timer: Milliseconds Since Social Distancing Began
Programming
Time in milliseconds since COVID quarantine began... read on »
Python KeyError: How to Avoid and Handle Dictionary Exceptions
Python
When working with Python dictionaries you'll find yourself needing to access a key that may or may not exist. The easiest way to do this is with the get() method. read on »
Python For Loops Explained: Iteration, Scoping, and Generators
Python
Python has some pretty amazing features, and one of its most powerful and versatile is the for loop. As you can see by the examples below the for loop in Python is quite powerful when used in conjunction with... read on »
Generate a Strong Random Password in Python: Secure Method
Python
The conciseness of the Python language paird with its easy-to-use REPL make it ideal to hack out quick and easy scripts. One thing you can do is quickly and securely generate a random password with practically one line of code. read on »
Fix a Broken Python Environment: Troubleshooting Guide | SethServer
Python
If you've spent any time working with Python environments you're bound to have run into errors such as pip: command not found, No module named pip, ModuleNotFoundError: No module named 'distutils.util', or other Python 2.x vs Python 3.x issues. read on »
How to Tell if a File Exists in Python
Python
Python helps make a lot of things really easy. The conciseness of the language make it awesome to accomplish simple tasks in as few lines as possible. One of these simple tasks is checking to see if a file exists. read on »
Python Logging: Why Logger Defaults to WARN and How to Change It
Python
When debugging and profiling Python software you'll find yourself relying on Python's built-in logging module. Something that is very simple to overlook is the fact that the root logger defaults to WARN and not DEBUG. read on »
Python: How to Read a File Line by Line - Efficient File Parsing
Python
When using Python for Data Science or general Programming you'll find yourself needing to read and parse very very very large files. The easiest way to accomplish this is by iterating over the actual file object. read on »
Python: Recursively List All Files in a Directory - Efficient File Traversal Guide
Python
When using Python for Data Science or general Systems Administration you'll find yourself needing to recursively read a directory tree, remember all (or some) of the files in the directories and then do something fun with those files. read on »
Python Secret Santa Gift Exchange: Optimize Matches with pyge
Python
My wife is in charge of our families' annual Secret Santa Gift Exchange. Because she, unfortunately, knows about my background in math and computer science her requirements have become more extreme. read on »
TypeError: Object is not JSON serializable - Python JSON Encoding Fix
Python
When working with Python dictionaries you'll find yourself needing to access a key that may or may not exist. The easiest way to do this is with the get() method. read on »
Python Slice Notation: A Comprehensive Guide with Examples
Python
In my mind the easiest way to understand Python's slice notation is to visualize it with real examples. Once you get it under your fingers you'll find list slicing is an invaluable tool to have in your Python toolkit. read on »