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PlanetPython

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Talk Python to Me: #507: Agentic AI Workflows with LangGraph

Agentic AI Workflows with LangGraph empower LLMs to use tools and take further action based on what they have learned.
Frameworks like LangGraph provide building blocks for Python apps with features such as long-term memory and durable resumability.
Sydney Runkle discusses building Python apps with LangChain and LangGraph on the Talk Python podcast.
Links related to LangGraph, LangChain, tutorials, and episodes mentioned in the show are available for further reference.

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PlanetPython

367

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Python Bytes: #434 Most of OpenAI��s tech stack runs on Python

Most of OpenAI's tech stack runs on Python, using FastAPI for building APIs quickly, C for optimizations, and Temporal for asynchronous workflows.
PyPI's test suite was made 81% faster by steps such as parallelizing test execution, using Python 3.12's features, optimizing test discovery, and eliminating unnecessary imports.
Python enthusiasts can find interesting PyCon talks on YouTube covering topics from FOSS work to JIT compiler building and design pressure in code.
Optimizing Python import performance involves techniques like lazy imports, avoiding circular imports, and optimizing __init__.py files for faster loading.
PEPs & Co. and updates to pythontest.com are some of the extras shared, along with resources like git-bug and a Pyrefly follow-up.
Python enthusiasts can catch up on Python-related updates and jokes including a humorous take on programmer humor shared in the episode.

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Hackernoon

221

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The Marketing Data Cleaning Query Cookbook

In the world of Agentic AI, data quality is crucial as autonomous systems drive marketing decisions based on CRM and analytics data.
Gartner reports that poor data quality costs organizations an average of $12.9 million annually, affecting efficiency and decision-making.
The article offers a SQL query cookbook for marketers to clean and enhance data using SQL Server Management Studio.
Marketers can now describe data issues in plain English, generate SQL queries, and run them without advanced technical support.
Queries include tasks like fixing name capitalization, identifying and fixing suspicious or swapped names, building full names, and trimming extra spaces.
Additionally, the cookbook covers fuzzy matching, standardizing text, dealing with missing data, and avoiding duplicate data using SQL queries.
It also addresses out-of-range values, contradictory data, invalid emails, identifying internal or test contacts, and splitting data into multiple columns.
Lastly, the article suggests training GPT models on specific schemas for more accurate SQL assistance.
Clean data is emphasized as the key to successful AI implementation in marketing, facilitated by SQL queries and ChatGPT.
Marketers are encouraged to leverage the cookbook, engage with ChatGPT, and enhance their data management skills for efficient AI utilization.

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PlanetPython

416

Zato Blog: Enterprise Python: Integrating with Salesforce

Salesforce connections are now available in Zato 3.2 for managing Salesforce records and business data with basic REST APIs and Python objects.
The process includes creating Salesforce credentials, defining a Salesforce connection in Zato, authoring an integration service in Python, and testing the integration.
Credentials needed for the integration are username, password, consumer key, and consumer secret, usually obtained from a Salesforce connected app.
Zato handles authentication and authorization tokens based on the provided credentials, simplifying the integration process for users.
Creating a Salesforce connection in Zato Dashboard involves inputting the obtained credentials and setting up the connection details.
An integration service like creating Salesforce campaigns can be developed in Python using REST methods to interact with Salesforce endpoints.
A SimpleIO definition can be used to structure the input and output for the service, facilitating the handling of data between the service and Salesforce.
HTTP Basic Auth credentials can be assigned to the REST channel in Zato to enable client authentication, ensuring secure communication with Salesforce.
Testing the integration can be done by invoking the REST channel using tools like curl, allowing interaction with Salesforce and verifying the functionality.
By following the steps outlined, users can effectively integrate their applications with Salesforce using Zato and expose REST channels for seamless integration.

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Dev

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Getting Started with Docker: A Beginner’s Guide

Docker revolutionizes app development by enabling developers to build, ship, and run applications efficiently in containers.
Containers are lightweight, standalone software units that share the host OS kernel, making them faster than traditional virtual machines.
To get started with Docker: Install Docker Desktop for Windows/macOS or use the package manager for Linux, verify installation with 'docker --version', and run your first container like an Nginx web server.
Key Docker commands include listing running containers, building images from Dockerfiles, stopping and removing containers. Further steps involve learning Dockerfiles, exploring Docker Compose, and leveraging Docker Hub for pre-built images.

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Dev

350

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How Small Businesses Can Start Using AI Without Coding

Small businesses can now utilize AI tools without needing to code, making it accessible and beneficial for various tasks.
AI can assist with customer support through chatbots, content creation, marketing insights, scheduling, administrative tasks, and image design.
The use of AI chatbots can provide continuous customer support and automate FAQ responses, order processing, and updates.
AI tools like ChatGPT, Jasper, and Canva's AI design assistant offer businesses the ability to create content, analyze data, schedule appointments, and design visual assets without requiring coding knowledge.

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Dev

297

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From Prototype to Production - Local Kubernetes: Our AI Resume Matcher's Journey

The article discusses the transition of an AI Resume Matcher from a prototype to production using Local Kubernetes.
Key learnings include containerizing the Java Spring Boot application with Docker, setting up a local Kubernetes environment, crafting Kubernetes deployment manifests, configuring Google Cloud authentication for Vertex AI, and exposing the application through a Kubernetes Service.
Local Kubernetes offers advantages such as mimicking production environments, handling growth, building cloud-ready skills, and ensuring standardized deployments.
Prerequisites include having the AI Resume Matcher project code, Docker Desktop for local Kubernetes, and a Google Cloud account with Vertex AI enabled.
The process involves containerizing the application, launching Kubernetes with Docker Desktop, orchestrating with Kubernetes using manifest files, setting up Google Cloud authentication securely, and deploying the application.
For Google Cloud authentication, a Service Account and JSON key file are utilized to create a Kubernetes Secret for secure authentication within the Kubernetes pod.
Testing the deployed application involves checking pod status, verifying deployment, inspecting application logs, and sending a test request to ensure proper functioning.
By following the steps outlined, developers can deploy the AI Resume Matcher on a local Kubernetes cluster, gaining practical experience with DevOps practices and cloud-native technologies.
The journey from a Docker Compose setup to a Kubernetes cluster deployment enhances the application's robustness and scalability, paving the way for production readiness.
Overall, the article provides a comprehensive guide to transitioning an AI application from a basic prototype to a fully orchestrated production environment while showcasing key DevOps principles.

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Dev

385

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How to Revert a Git Revert Without Losing Your Mind — A CPQ Developer's Guide

CPQ developers often face the dilemma of reverting changes in Git for deployments, leading to complexities in managing code changes.
Reverting changes in Git can create confusion in the commit history, making it difficult to bring back the reverted changes later.
The solution lies in 'reverting the revert' by following a step-by-step guide to undo the undo and smoothly reintegrate the changes.
By carefully handling revert commits, resolving conflicts, and creating new merge requests, developers can navigate Git chaos and maintain code integrity.

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Dev

434

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Build Your First Flutter App in 10 Minutes – The Fun Way!

The post guides developers in creating their first Flutter app, a simple Counter App, in a fun and straightforward manner.
Steps include setting up Flutter, creating the app, running it, understanding the starter template, and customizing the code.
Developers are encouraged to explore further by adding more features like buttons, different layouts, API connections, and screen navigation.
Flutter's hot reload feature, which allows for instant updates without rebuilding the app, is highlighted as a powerful tool for developers.

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Dev

261

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Git Cheatsheet that will make you a master in Git

Git is a crucial version control system used by developers to manage code changes and collaborate on projects.
The Git cheatsheet covers basic and advanced Git commands to enhance developer skills and efficiency.
Basic commands include initialization, cloning, staging changes, committing changes, checking status, and viewing changes.
Branching commands allow creating, switching, and merging branches to work on different features.
Commands for pushing, pulling, and viewing history help manage changes in remote repositories.
Advanced commands include reverting changes, resetting changes with options like --soft, --mixed, and --hard, rebasing, stashing, and cherry-picking.
Git hooks and aliases offer customization options for automated scripts and shortcuts for commands.
Various Git workflows, such as centralized, feature branch, and Gitflow workflows, provide strategies for team collaboration and code management.
Git's power lies in its ability to facilitate collaboration, track changes, and support efficient code management.
Understanding both basic and advanced Git commands can significantly improve a developer's workflow and productivity.
Engaging with the author on LinkedIn and GitHub for further insights and updates.

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Medium

226

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Regularisation: A Deep Dive into Theory, Implementation and Practical Insights

The blog delves deep into regularisation techniques, providing intuitions, math foundations, and implementation details to bridge theory and code for researchers and practitioners.
Bias in models could lead to oversimplification and underfitting, resulting in poor performance on training and test data.
Variance in models causes overfitting, performing well on training data but failing to generalize to unseen data.
The bias-variance tradeoff shows the inverse relationship between bias and variance.
A good model finds a balance between bias and variance for optimal performance on unseen data.
Bias and Underfitting; Variance and Overfitting are related concepts but not interchangeable.
Different regularisation techniques like L1, L2, and Elastic Net aim to mitigate overfitting by penalizing large weights.
Regularisation helps find the sweet spot between overfitting and underfitting in models.
Methods like L1, L2, and Elastic Net are discussed in the blog for regularising models.
Implementation details on how to apply L1, L2, and Elastic Net Regularisation in practice are provided.
The blog also touches upon Dropout, Early Stopping, Max Norm Regularisation, Batch Normalisation, and Noise Injection as regularization techniques.

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Medium

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Inferred Type Predicates: Unlocking TypeScript’s Type-Smart Logic

In TypeScript, value is string is a type predicate that narrows down the type of a variable within an if statement block.
Inferred type predicates in TypeScript automatically deduce the type logic based on return types and function usage.
They make code more expressive, maintainable, and bridge the gap between runtime logic and compile-time safety.
TypeScript's control flow analysis tracks variable types through code paths, reducing the need for verbose type annotations.
In TypeScript, inferred predicates allow for automatic type narrowing without explicitly defining them.
Newer versions of TypeScript can infer type narrowing based on return values, reducing the need for manual type guards.
Inference logic extends to functions like filter(Boolean) where TypeScript understands the type filtering being performed.
In the context of user-defined type checks, TypeScript can infer object shapes without explicit type annotations.
Inferred predicates enable shorter, smarter code, reducing boilerplate in real-world codebases.
They promote maintainable code by eliminating the need to manually specify type guards, especially for utility functions.

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Medium

128

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Enso Shortcuts: The Future of Web3 Development Made Simple

Enso is a Web3 platform that enables users to build blockchain applications without coding.
Enso's Shortcuts feature allows users to streamline blockchain actions into pre-built templates.
Shortcuts are practical for projects of any size, making processes faster, cheaper, and more inclusive.
Enso's community-driven approach includes initiatives like the Shortcut Speedrun to engage users in exploring Web3 development.

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Medium

How To Get Started With Programming

When starting a programming project, consider your strategy and plan out the steps or features you want to implement.
Choose a programming language that suits your level, like Python for beginners, and find tutorials to help you get started.
Select a suitable IDE (Integrated Development Environment) like PyCharm or Visual Studio Code to write and test your code efficiently.
Build your program iteratively, seeking help online when needed, and test your prototype to analyze results and make necessary improvements.

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Medium

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Securing Maritime Logistics Against GPS Spoofing and AIS Hijack

Global shipping routes are crucial for world trade, but are vulnerable to cyber threats like GPS Spoofing and AIS Hijacking.
GPS spoofing involves fake signals altering a vessel's location, while AIS Hijack manipulates AIS messages for malicious purposes.
Recent incidents include GPS errors in the Black Sea, fake AIS signals leading to unauthorized waters, and cloaked fishing vessels engaging in illegal activities.
To enhance maritime cybersecurity, measures like integrating PKI into AIS broadcasting, using machine learning for anomaly detection, and implementing next-gen GPS encryption are recommended.

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