teleren/devto huggingface dataset:
Open Source ABCs: Version Control
Tags: opensource, discuss, 100daysofoss
Published: 2023-10-04 18:15:36

---
title: Open Source ABCs: Version Control
published: true
description: Join our #100DaysOfOSS blog series as we explore the world of Open Source Software (OSS) from A to Z! Every week, we'll discuss two new letters of the English alphabet. Share your thoughts, ideas, and favorite OSS projects for each letter. Let's celebrate the power of open source together! 
tags: opensource, discuss, 100DaysOfOSS
cover_image: https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fxwg4ygmybnni1tpwdx3.png
# Use a ratio of 100:42 for best results.
series: 100DaysOfOSS
canonical_url: https://opensauced.pizza/docs/community-resources/open-source-abcs-version-control/
---

Welcome to our [#100DaysOfOSS series](https://dev.to/opensauced/100daysofoss-growing-skills-and-real-world-experience-3o5k). Until October 31, we'll be doing  Open Source Software (OSS) terms from A to Z. We'll be diving into a different letter of the English alphabet, uncovering OSS concepts, and sharing our thoughts on them.

Today, we're covering the letter "V" for Version Control.

**Version Control**: Version control ensures code changes are tracked and managed efficiently. Version control systems like Git allow multiple contributors to work on the same codebase without conflicts. It helps in maintaining the history of the project, making it easier to understand past decisions, roll back changes, and contribute meaningfully.

Now, we want to hear from you! What other OSS terms can you think of that start with the letter "V"? 

Remember to use the hashtag #100DaysOfOSS if you share on social media, and don't forget to tag us [@saucedopen](https://twitter.com/saucedopen) so we can follow along.
Migrating Data from Oracle to PostgreSQL
Tags: apacheage, opensource, database, postgres
Published: 2023-10-04 18:09:06

## Introduction
The advantages of PostgreSQL over Oracle, such as its cost-effectiveness, versatility, and customizability, are highlighted. PostgreSQL offers cost savings through open-source licensing and provides a broader range of deployment options compared to Oracle. Additionally, PostgreSQL offers a wide array of free add-ons and extensions.

## Steps
The migration project comprises five essential steps: 

## Assessment:
The Assessment phase involves a thorough examination of the application to determine the effort required for migration. Compatibility checks are performed, and adjustments needed for a seamless transition are identified. The database structure is optimized through architectural cleanup.

## Schema Migration:
Schema Migration involves creating PostgreSQL-type users and schemas, with schema conversion automated using tools like Ora2pg, Ora_migrator, Orafce, or EDB Migration Portal.
 

## Functional Testing:
Functional testing is crucial to ensure the modified schema works correctly. The same test dataset is imported into both Oracle and PostgreSQL databases to ensure consistent SQL outputs, with any issues addressed and rectified.

## Performance Testing:
Performance testing assesses the migrated database's response times, transaction throughput, and scalability using various workloads and benchmarks.

## Data Migration:
Data migration, during the final phase, involves transferring data from the Oracle database to PostgreSQL while maintaining data integrity and consistency, often using specialized scripts or data migration solutions like the EDB Migration Portal.

Throughout the migration process, the project identifies significant disparities and incompatibilities between Oracle and PostgreSQL, providing valuable insights to help users avoid common pitfalls.

## Conclusion
The conclusion underscores the importance of a systematic approach, consideration of compatibility, intelligent schema transformation, rigorous testing, and precise data transfer for a successful migration. Businesses can leverage PostgreSQL's advantages, including cost-effectiveness, flexibility, and customization, by completing the transition to this database system.
Unique Features in AgensSQL compared to PostgreSQL
Tags: apacheage, database, postgres, opensource
Published: 2023-10-04 18:01:28

PostgreSQL has established itself as a highly preferred database management system in today's programming landscape, being favored by programmers, businesses, and organizations alike. Its open-source nature, exceptional performance, and extensive feature set have solidified its position as the top choice for a wide range of applications. Conversely, alternatives such as AgensSQL have also emerged, offering distinct functionalities to cater to specific needs and foster innovation.

## PostgreSQL Advantages

- Open Source with an Active Community
- Broad Feature Set
- Robust Performance
- High Availability and Backup

## Unique Features of AgensSQL

## Graph Databases Support
AgensSQL distinguishes itself from PostgreSQL by incorporating specialized features tailored for graph databases. These capabilities prove invaluable for applications reliant on intricate data connections, such as social networks, recommendation engines, and fraud detection systems. AgensSQL leverages the property graph model and efficient graph algorithms to enable swift and efficient querying of graph data.

## Compatibilit in Cypher Query Language
AgensSQL stands out by offering support for the Cypher query language, a robust and user-friendly tool designed specifically for querying graph databases. Cypher's pattern-centric approach simplifies complex searches involving interconnected data, making it highly effective for such tasks.

## Improved Graph Workload Performance
As a specialized extension for graph databases, AgensSQL enhances efficiency in handling graph workloads. Its storing and indexing algorithms enable the efficient processing of graph structures, resulting in accelerated traversal and analysis of graph data.

## Adaptability
AgensSQL is designed with a strong focus on extensibility and adaptability. Developers have the capability to create extensions that introduce new features and cater to specific requirements. Thanks to its versatility, AgensSQL can serve as a flexible solution applicable across a wide range of use cases and industries.
Nice Little Link Hover Effect
Tags: codepen, css, html, breezycss
Published: 2023-10-04 17:58:15

<p>It's a little link hover effect with a chevron arrow and translate3d effect when hovering over the link.</p>

{% codepen https://codepen.io/cyrez/pen/LYMgQxQ %}

_Note: do not abuse this type of animation. It is not intended for a link included in text content._

_Usage: a link that must stand out from the main content. This is one way of avoiding using a button for the wrong purpose (too often misused). It remains a hyperlink._
Data Science for beginners, complete roadmap.
Tags: datascience, machinelearning
Published: 2023-10-04 17:51:32

Data is the new oil, every day a huge amount of data is generated the world over. Virtually every human action today generates some data. Human beings are in a race to make meaningful use of this data to arrive at decisions that improves their lives. This has given rise to a whole lot new careers in this field, data science is one of them. It is the use of scientific methods, mathematics, statistics and computer science to derive meaningful insights to data. This is a brief roadmap into how you can develop your skills in this field.

###What you need to learn

#####**Mathematics**
Mathematics and Statistics form the foundations of data science, we rely heavily on statistics to understand the data, calculate distributions, probabilities and make inferences. The mean, standard deviation, hypothesis testing are some of the insights derived from the data. An understanding of mathematics and statistics is therefore integral.

#####**Python and/or R**
Python and R are the most popular tools that data scientist use in this field. Python is a open source, high-level programming language that I would definitely recommend. 
It is easy to learn, wide community support and has extensive libraries. R is a popular tool too and great for statistical analysis and research work. I guess you try out both and find which one works for you.

#####**Understand databases**
The next step after having your mathematics and programming tool polished is to understand databases, data is stored in databases and knowing your way around retrieving, updating and manipulating data is a must.  MySQL and PostgreSQL are the most popular RDBMS and MongoDB for NoSQL.

#####**Master visualization**
To make sense of the data it has to be presented in a visual and graphical format thus make it communicate to a wider audience, They are lot of tools for this both free and one which require subscription. Tableau, Excel, Power BI, Matplotlib etc. are some of them. Master a few based on your need.

#####**Big data and cloud**
Though not entirely needed for a beginner in this field, as your grow you will come across extremely huge and complex datasets that cannot be analyzed using the methods discussed. Hadoop. Apache Kafka, Apache spark, Databricks, BigQuery, Amazon Redshift are some of the terms and technologies you'll come across.

#####**Join competitions and practice**
Every skill learnt has to be perfected through practice. Data scientists and AI Engineers use online competitions like Kaggle(by Google) and Zindi(focused on Africa) to practice, compete and be part of a community. Be sure to check them out and good luck if you decide to enroll in a competition.

#####**Get a job**
Easier said than done but at this point getting an entry level job or internship is a good idea. Industry experience is different and you get to work on real-life situations affecting businesses and societies.

#####**Be part of a community**
Everyone like to be part of a community, go on you are into data now. Learn, engage and contribute
As a computer scientist, don't solve only IT problems
Published: 2023-10-04 17:47:32

A big mistake i made while studying computer science in university was to think only of IT problems and opportunities.

When I started university in 2015, l spent most of my time with computers. I saw computing in everything.

But looking back almost 8 years now, I know that computing is not everything. 

Especially here in Ghana where there is a big market for other things and a small market for IT work.

Also, most of the money I made in life did not come from work with computers. 

The money I made to travel outside the country with and to buy my car, none of it came from IT work.

How could I have not considered other things aside computers while studying computer science in school?
Got my AWS certification!
Tags: certification, aws
Published: 2023-11-18 18:05:56

---
title: Got my AWS certification!
published: true
date: 2023-10-04 17:41:02 UTC
tags: Certification,AWS,Certification
canonical_url: 
---

While moving in my day-to-day job more towards AWS, I got my AWS associate developer certification!  
 [View credentials here](https://www.credly.com/badges/17176177-f081-4829-8395-bf3a462e61b6/public_url)
How to convert text to video free?
Tags: ai, discuss, learning, tooling
Published: 2023-10-04 17:40:13

Today we will explore how to convert [text to video free with AI](https://xn--ainexu-1jb.com/en/category/video-creating-editing/)

This video will show you the power of [lucas AI tool](https://youtu.be/Bb2NbsUUVIY?si=elttn7VGABFXCrXy)

Have you ever tried to generate video with the power of AI from just entering the text ?

Share with me your opinion about
![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/hahrkr5ylmc5t1r30wgj.png) this tool
Study Smarter With AI Tools
Published: 2023-11-26 17:36:46

---
title: Study Smarter With AI Tools
published: true
date: 2023-10-04 17:32:17 UTC
tags: 
canonical_url: https://blog.tvaisanen.com/study-smarter-with-ai-tools
---

The remote culture has its advantages. Especially when it comes to studying and working at the same time. It's super valuable to have access to the lecture recordings later for you to be able to do the study part outside office hours.

As a resourceful engineer, this also opens up new possibilities. If you think about it, do we need to listen to the two-hour lecture when we can just transcribe the lecture into text and browse through it quickly to see if there's any additional useful information besides the source materials?

The answer to this question is of course not.

What I did, I fired up a Google Colab Notebook and installed Open AI's whisper.

```
!pip install git+https://github.com/openai/whisper.git

```

I [extracted the audio](https://stackoverflow.com/questions/9913032/how-can-i-extract-audio-from-video-with-ffmpeg) from the lecture videos with `ffmpeg` and uploaded the audio files to Drive and then loaded these files into the Notebook.

```
from google.colab import drive
drive.mount('/content/drive')

```

Import Whisper and load the model. See the available configurations in the [docs](https://github.com/openai/whisper#available-models-and-languages). The next step is to just iterate over the files to transcribe and enjoy the results via text search.

```
import whisper
import os

model = whisper.load_model("medium")
path = "drive/MyDrive/MY_DRIVE_PATH"
files = os.listdir(path)
files
# ['audio1025532515.m4a', 'audio1358476021.m4a']

for f in files:
  result = model.transcribe(f"{path}/{f}")

  with open(f"{f}.txt", "w") as f:
    f.write(result['text'])

```

And that's it.

```
print(result["text"])
# Huomentapiv. Aloitellaan tmn pivn luentoa....

```

Now I have access to the transcriptions in my Drive!

```
os.listdir(path)

# ['audio1025532515.m4a',
# 'audio1358476021.m4a',
# 'audio1025532515.m4a.txt',
# 'audio1358476021.m4a.txt',]

```

I thought that it would be nice to share as I found this useful, I hope that you do too! Thanks for reading.
Interfaces funcionales en Java al estilo delegado de C#
Tags: java, programming
Published: 2023-10-04 17:27:54

En Java, no hay una característica nativa de "delegados" como en C#. Sin embargo, Java proporciona interfaces funcionales y expresiones lambda que pueden lograr patrones similares a través de conceptos como programación funcional y devolución de llamadas (callbacks).

Las interfaces funcionales son interfaces que tienen un solo método abstracto y pueden ser utilizadas con expresiones lambda. Un ejemplo común es la interfaz `Runnable` que se utiliza con hilos en Java. A partir de Java 8, también se introdujo el paquete `java.util.function`, que incluye varias interfaces funcionales predefinidas como `Consumer`, `Supplier`, `Predicate`, etc.

A continuación, te muestro un ejemplo simple utilizando una interfaz funcional y una expresión lambda:

```java
// Interfaz funcional con un solo método abstracto
@FunctionalInterface
interface MiDelegado {
    void hacerAlgo(String mensaje);
}

public class Main {
    public static void main(String[] args) {
        // Uso de una expresión lambda para implementar el delegado
        MiDelegado miDelegado = (mensaje) -> System.out.println("Haciendo algo: " + mensaje);

        // Llamada al método de la interfaz funcional
        miDelegado.hacerAlgo("¡Hola desde la expresión lambda!");
    }
}
```

En este ejemplo, `MiDelegado` es una interfaz funcional con un método llamado `hacerAlgo`. Luego, se utiliza una expresión lambda para proporcionar la implementación de ese método. La expresión lambda se asigna a una instancia de la interfaz funcional (`miDelegado` en este caso) y se llama al método de la interfaz funcional.

Aunque no es exactamente lo mismo que los delegados en C#, proporciona una forma similar de lograr funcionalidades de devolución de llamadas y programación funcional en Java.
🧠Dreaming of becoming an alien programmer? 👽 Your wish just came true with the arrival of a new array programming language!🚀
Tags: programming, news, apl, bqn
Published: 2023-10-04 17:00:30

Hey there, tech enthusiasts! As someone who thrives on learning and exploring the latest developments in the world of programming and technology, I've got exciting news to share. 🚀 Introducing Uiua (pronounced "wee-wuh"), a cutting-edge stack-based array language with its interpreter crafted in the beloved Rust language. 🚀🦀

Now, before you dismiss it as another esoteric coding language like brainf**k or lolcode, hear me out! Uiua is the real programming language. 🤯 It falls under the category of array programming languages, akin to APL and BQN, with a focus on the tacit (point-free) programming paradigm. In the real world, these languages are the secret weapons of competitive programmers, enhancing productivity and problem-solving capabilities.

Yes, you read that right! Despite its initial daunting appearance, array programming languages grant you superpowers when tackling tasks that can be elegantly represented as array transformations. 😎 However, due to their perceived complexity and steep learning curve, these languages have largely remained in the shadows, known only to a niche community of enthusiasts.

But here's the exciting part: If you're up for a challenge and eager to elevate your problem-solving skills while exploring the uncharted territory of programming, I wholeheartedly recommend giving Uiua a try. It's a mind-expanding journey that promises valuable rewards. 🚀🧑‍🚀

Curious to dive deeper into the world of Uiua? Check out these links:
🔗 Website: [uiua.org](https://www.uiua.org/)
🔗 GitHub Repository: [uiua-lang](https://github.com/uiua-lang/uiua)

Now, I'd love to hear your thoughts! 🗣️ What's your take on the tacit (point-free) programming paradigm and array programming languages? Do you see a bright future for them? Are there real-world use cases waiting to be uncovered? Could we witness a surge in their adoption down the road? Share your insights in the comments below!


![Mexican Alien Meme](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/45eznbi9txdx0dnr03c8.png)

Thank you for reading! Have a great day! 😊🌟
Difference of functional testing and non-functional testing.
Published: 2023-10-04 16:50:09

1) Functional testing :-
      * it simple words, what is the system actually does is functional testing. 
      * to ensure that the product meets customer requirements and doesn't have major bugs.
      * to verify accuracy of the software against expected output.
      * it is performed before non-functional testing.
Example:-
      * verify the login functionality (whether check the login user id and password working correctly or not)

2) Non-functional testing:-
      * How well the system performs non-functional testing.
      * to ensure that the product stands up for customer expectations.
      * to verify the behaviour of the software at various load conditions.
      * it is performed after functional testing 
Example:-
      *same login functionality, how secured the login functionality and how much time take user to get login page
Complete Guide To being a Data Scientist 2023 Beginner's Roadmap
Published: 2023-10-04 16:08:51

In the ever-evolving world of field of data science, staying up-to-date is crucial. Whether you’re considering a career change or looking to level up your data science skills, this guide will help you navigate the landscape of data science in 2023 and beyond.  
 
  **What is Data Science**  
 Data Science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.  
 
  **What are the skills and knowledge required to be a data scientist**  
 Mathematical  
 Programming  
 Communication  
 Curiosity  
 
 **Understanding the basics**  
 To start your journey as a data scientist you need to understand the fundamentals. Learn about data collection, cleaning and exploration. Master programming languages like Python and R, as well as libraries such as Pandas and NumPy.  
 
  **Machine Learning and deep Learning**  
 Machine learning and deep learning are the heart of data science. Dive into supervised and unsupervised learning, neural networks and natural language processing.  
 
  **Big Data and Cloud Computing**  
 Familiarize yourself with big data technologies like Hadoop and Spark. Get to learn about cloud platforms like AWS, Azure and GCP are becoming essential for handling large datasets effectively.  
 
 **Data Visualization**  
 Learn how to create compelling data visualizations using tools like Matplotlib, Seaborn, and Tableau. Communicating your insights effectively is key.  
 
  **Ethics and Privacy**  
 As a data scientist, you must be aware of ethical considerations and data privacy laws. Ensure that your work adheres to ethical guidelines and respects user privacy.  
 
  **Building a Portfolio**  
 Create a portfolio to showcase your skills and projects. This will help you stand out to potential employers and clients. Include detailed explanations of your projects and the problems you solved.  
 
  **Job Market Insights**  
 Keep an eye on the job market. Data science is in high demand. Tailor your skills to match the specific roles you are interested in.
How to Leverage Amazon Catalog Management for Maximum Impact
Published: 2023-10-04 16:40:39


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2yqj4k237g63n4o09ze9.png)

Learn how to Optimize Amazon Catalog Management to navigate and maximize your product visibility and sales in the US market.
Read More: https://amzsparks.com/how-to-leverage-amazon-catalog-management-for-maximum-impact/
‘Navigating tech success – Career Goals with Team Relations’ with Anemari Fiser, Tech Lead Trainer
Tags: podcast, leadership, management, learning
Published: 2023-10-04 16:05:13

In the recent episode of **‘Beyond the Code’**, Host **Kshitij Mohan**, founder of **Typo**, welcomes **Anemari Fiser**, a Tech lead trainer. Her vast experience also includes valuable contributions to renowned companies such as **CodeOp, Thoughtworks, and Waterford**. The focus of the discussion is on navigating tech success with an emphasis on Career Goals along with Team Relations.

The episode initiated with Anemari sharing her inspiring journey – transitioning from a software engineer to a tech lead trainer, followed by an engaging fireside chat. Afterwards, Anemari dives deeper into creating a growth plan setup for team members. She also underscored the significance of conducting one-on-one meetings to gain a deeper understanding of team members and to provide them with constructive feedback.

Lastly, Anemari highlighted the core principles that every leader should be well-versed in: self-awareness, reflection, and embracing vulnerability.

**Watch the full episode on YouTube:**
[Beyond The Code #EP 12 - Navigating tech success - Career goals with team relations](https://www.youtube.com/watch?v=a7a3zMmuzTk)

'Beyond the Code' aims to bring the best tech leaders across the globe to empower you with their practical experiences and learnings in the realm of engineering management and leadership 🌍

Do let us know in the comments below what you'd like to see more of in our future podcast episodes 😁
could you please guide me to build a career in web developement
Tags: beginners, discuss, career, codenewbie
Published: 2023-10-04 16:02:50

Hey I am a beginner level shopify developer, now that I am trying to dig deep in this field I feel lost. Don't know where I stand and which way to go or just how to proceed. 


It would be great if professionals like you guys with all the amazing experience could guide me through this. Consider me a newbie with just a little bit of HTML and CSS knowledge
Buy Verified CashApp Account
Tags: webdev, javascript, beginners, tutorial
Published: 2023-10-04 15:53:41

Buy Verified CashApp Account 

Buy Verified CashApp Account From ProMxs Best USA Shop, We sell 100 verified old new Cash App Account, Login Access with full documents

Replay and contact 24/7 Live Support

E-mail : promxs24@gmail.com
WhatsApp : +1(315) 514-9654
Telegram : @promxs
Skype : promxs

https://promxs.com/product/buy-verified-cashapp-account/