#PythonAutomation

@microjobs.bsky.social

2 months ago

Automation & Scripting Jobs (Python) | Zeerk I will automate your repetitive tasks using Python automation scripts to help you save time and work faster.I can automate Excel tasks, data entry, web

Automation & Scripting Jobs (Python) #PythonAutomation #Scripting #AutomationJobs #TaskAutomation #ProcessAutomation #PythonScripts #TechServices #programming #codes #Scripts #jobs #zeerk #freelance #Python zeerk.com/job/other-pr...

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CryptoGig

@cryptogig-official.bsky.social

2 months ago

I will create a fast Python automation or AI script in 24 hours | CryptoGig من یک اسکریپت سریع پایتون برای اتوماسیون، پردازش داده، کارهای ساده مصنوعی مصنوعی یا چت‌بات خواهم نوشت. من اسکریپت های سریع و قابل اعتماد پایتون را برای

I will create a fast Python automation or AI script in 24 hours #PythonAutomation #AIServices #PythonScript #crypto #AIProgramming #Automation #FastDelivery #DeveloperForHire #FreelanceProgrammer #cryptofreelance #AIDeveloper #TechServices cryptogig.com/job/ai-servi...

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Donna E

@edwardsdna.bsky.social

3 months ago

Overcome Initial Full Load Failures in Power BI Incremental Refresh with Bootstrapped Load (2/2) In my previous blog I explained about Bootstrapped data loading and in this blog I am going to explain how you can automate partition refreshes using a tool developed using python. Please read that blog before checking this. Automating Partition Refreshes with Python To simplify the process, I developed a Python-based tool that automates partition refreshes. Download link is in the bottom It comes in two versions: Version 1: Runs from a local machine Version 2: Runs from a Microsoft Fabric Notebook using the Semantic Link library Both versions use the Enhanced Refresh API to refresh partitions efficiently. Version 1: Local Python Tool This version includes three key files: * config.py * utils.py * main.py Requirements: * Service Principal ID, Secret, and Tenant ID * Dataset ID and Workspace ID Configuration Steps: Open config.py and provide the required values. Adjust parameters such as delay, batch size, maximum parallelism, retry count, and timeout based on your environment. 2. In main.py, specify the table name and incremental refresh policy details. 3. Execute main.py script. How It Works: * The tool automatically calculates partition names based on the policy. * It divides partitions into batches as per the defined batch size. * It checks if any refresh is in progress, then triggers batch refreshes sequentially. * Each batch executes only after the previous one completes successfully. You can monitor progress through Power BI Service refresh history or verify partition data in SSMS by expanding the table’s Partitions node. After completing all the batches, it will stop the execution like below All the partitions are loaded successfully You might have observed, the first batch started at 8:26 AM and last batch completed at 11:00 AM. The whole process took 2.5 hours and the script did the whole job on its own. 🙂 Version 2: Microsoft Fabric Notebook The second version is a Microsoft Fabric Notebook (Bootstrapped Data Load.ipynb) and leverages the Semantic Link library. It does not require a Service Principal since it uses the current user’s identity. The user running the notebook must have appropriate permissions in the workspace hosting the semantic model. Provide the necessary configuration values in the designated notebook cell and execute it. Similar to Version 1, it refreshes partitions sequentially in batches. Points to Remember * The automation tool supports Task 2 only refreshing partitions in batches. * Parameters such as maxParallelism, batchSize, delay, timeout, and retryCount should be tuned according to your environment. * The tool refreshes one table at a time. For models with multiple fact tables using incremental refresh, run the process separately for each table. * In Version 1, verify that the automatically generated partition names match your model configuration before triggering the refresh. * In Version 1, bearer token expiry has been handled which means even when the bearer token expires during the batch processing it will regenerate a token on its own. * In Version 2, note that the Fabric notebook remains active during execution, which can increase compute consumption. If Fabric workloads are restricted in your organization, use Version 1 instead. * You might have observed that the intermediate log messages shows the current refresh status as ‘Unknown’, it is an expected behavior with Enhanced Refresh APIs Conclusion The Bootstrapped Initial Refresh technique is an effective way to overcome the limitations of the initial full load in Power BI incremental refresh. By first creating an empty table and then refreshing partitions in controlled batches, you can establish your model structure without encountering timeout, memory, or workload management issues. This method ensures a smooth onboarding of large datasets into Power BI while maintaining optimal resource usage and performance. You can download the tool from my git repository. I am not an expert in python, please feel free to correct my code or suggest any enhancements. Hope you learned something new from this blog, do share your thoughts in the comments section. Happy Learning!!!

Overcome Initial Full Load Failures in Power BI Incremental Refresh with Bootstrapped Load (2/2): In my previous blog I explained about Bootstrapped data loading and in this blog I am going to explain how you can automate… @PowerBI #PowerBI #DataVisualization #DataLoading #PythonAutomation #BigData

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Hedge

@hedge.co

4 months ago

Good news! EditReady and FoolCat now support scripting to automate your workflow further. And yes, we’ve bumped all licenses to Pro.

👉 Read all about it here: buff.ly/Z38YPKb

#VideoWorkflow #PostProduction #MediaAutomation #AppleScript #PythonAutomation #ARRICORE #NikonRAW #ProxyWorkflow

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AI TechBuzz

@aitechbuzz.bsky.social

5 months ago

Automate Keyword Research with Python in Minutes!

#KeywordResearch #PythonAutomation #SEOtips #GoogleTrends #Pytrends #SemRushAPI #GoogleColab #DataScience #SEOTools #ProgrammingTutorial

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TCCI – Computer Coaching Ahmedabad

@tccitech.bsky.social

7 months ago

🧠 Stop wasting time on repetitive tasks!
Learn how to automate:

📁 File sorting
📊 Spreadsheet processing
📧 Email reminders

It’s easier than you think — and Python makes it powerful!

#PythonAutomation #LearnPython #CodingTips #AutomateTasks #ProductivityHacks #TCCI #BopalAhmedabad #TechSkills

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Callgoose SQIBS

@callgoosesqibs.bsky.social

7 months ago

Choosing a Flexible Automation Platform: Why Callgoose SQIBS Outperforms Task-Based Solutions

🚫 Still stuck with task-based automation platforms?

Read Full Blog 👉 www.callgoose.com/u/Dd

#ITAutomation #AutomationStrategy #DigitalTransformation #InfrastructureAutomation #ProcessAutomation #FlexibleAutomation #CodeBasedAutomation #PythonAutomation #BashScripts #ITOps

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ProMarketing | Marketplace for AI freelancers

@promarketingxy.bsky.social

8 months ago

Need a Telegram bot that talks like ChatGPT?

This Fiverr expert delivers:

🤖 Voice-activated or text-based Telegram AI bots
💡 Built using Python
🧠 Personalized to your use case or brand

🔗 go.fiverr.com/visit/?bta=2...

#AIBot #FiverrPro #TelegramDev #VoiceBotAI #ChatbotSolutions #PythonAutomation

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@thingsitried.bsky.social

1 year ago

Leads Automation: Using Old-School blog freshness estimate This is a continuation of my last post "Leads Automation: Using LLM to estimate webpage freshness" In that post I used a function estimate_last_update_with_llm(url) to grab the contents of a webpage—or at least the first 5000 characters—and send them off to ChatGPT 4o to try to ascertain how old it thought the blog was. It was supposed to use a lot of fancy tricks to get a good idea of when it was last updated, so that I can focus my efforts on actively maintained leads instead of long-dead ghost blogs.

#ThingsITried #LeadAutomation #WebScraping #PythonAutomation #LLMvsRegex #OpenAI #WebDataExtraction #MarketingTech #LeadGeneration #AutomationTools #PythonDev

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TechKeysX

@techkeysx.bsky.social

1 year ago

Count Function in PYTHON #python #coding #datascience #programminglanguage #pythonautomation
youtube.com/shorts/URK7j...

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Rafal Rudewicz

@innasiec.pl

1 year ago

🐍 Wypróbuj te wskazówki i zacznij tworzyć bardziej zaawansowane automatyzacje! Daj znać, którą z nich planujesz przetestować najpierw.

#PythonAutomation #NetworkEngineering #DevOpsLife #TechTips #CodingMagic

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Posts tagged #PythonAutomation