teleren/devto huggingface dataset:
Data Science for Beginners: 2023 - 2024 Complete Roadmap
Tags: datascience, python, beginners, learning
Published: 2023-09-30 12:28:22

Over the past couple of years, there has been a rising need for Data Scientists by businesses, and institutions ranging from retail, banking, health, transport, agriculture etc.

But .. what do data scientists do?  what does it take to become one?

## Here is an example to break this down

You operate a supermarket and the common activities happening here are supplies being received from your various supplies and the sale of these goods to customers. All these activities generate data which, if well utilized can become a great asset by your management to run your businesses successfully.

**Therefore, Data Scientists are professionals responsible for getting the data generated from your business, organizing, cleaning, and exploring these data to extract insights or meaning which can then be used for decision-making**

An example of the insight can be; by analyzing sales data and inventory levels, you can identify patterns and trends in product demand.
 This information can help the supermarket optimize its inventory management. For example, if the data shows that a particular product has a higher demand on weekdays but has lower demand during weekends, the supermarket can adjust its restocking schedule to ensure the product is available when it's needed most. This can lead to reduced carrying costs and increased sales, ultimately improving the supermarket's profitability.

Data Scientists then use this data to build prediction systems/ML models that be used to predict sales in coming days, weeks, etc. for the supermarket to stock goods accordingly and thus minimize huge losses that can happen as a result of this.

## Now, what does it take to a Data Scientist?

Here is  RoadMap:

**1. Math Skills:** Basic math skills, including probability, basic statistics, and some calculus, are essential for understanding and working with data.

**2. programming skill**, the common data science programming language is Python and you start by getting the basics by either getting an online course, blogs, or YouTube depending on your learning  preference

**3.Data science packages**, in most cases, you will be doing data cleaning and manipulation, and Python already contains these packages.
 
The commonly used data science packages are;

- Pandas for most data manipulation and exploration
- Numpy for numeric operations
- Matplotlib and Seaborn for visualization
- Sklearn which contains algorithms used for building ML models

**The most important thing to accelerate your learning is to connect with people already  in the field, learn from their experiences, and build on what you're learning.!**
Data Science for Beginners: 2023 - 2024 Complete Roadmap.
Tags: beginners, python, datascience
Published: 2023-09-30 12:27:46

Data Science was christened the sexiest job of the 21st Century by the Havard Business School[(Davenport, Thomas H., and D. J. Patil. "Data Scientist: The Sexiest Job of the 21st Century." Harvard Business Review 90, no. 10 (October 2012):70-76)]. It’s a high-ranking professional with the training and curiosity to make discoveries in the world of big data in this day and age where there is a lot of unstructured data(big data) available. 

There are essentials every aspiring data scientist should learn to grow in this field:
<u>1. Python Programming:</u> 
Start by learning Python, which is widely used in data science. Familiarize yourself with basic syntax, data types, control structures, and functions.
<u>2. Mathematics and Statistics:</u> 
Build a strong foundation in mathematics and statistics, as they form the core of data science. Focus on linear algebra, calculus, probability, and statistical inference.
<u>3. Data Manipulation and Analysis:</u> 
Learn how to work with data using popular Python libraries like NumPy, Pandas, and Matplotlib. These libraries will help you manipulate, clean, and visualize data effectively.
<u>4. Data Visualization:</u>
Gain proficiency in data visualization techniques using libraries like Seaborn and Plotly. Learn how to create meaningful visualizations to communicate insights and patterns in the data.
<u>5. Machine Learning Fundamentals:</u> 
Understand the basic concepts of machine learning, including supervised and unsupervised learning, model evaluation, and overfitting. Implement algorithms like linear regression, logistic regression, decision trees, and clustering. Also, explore popular machine learning libraries such as sci-kit-learn and TensorFlow. Learn how to use these libraries to build and evaluate machine-learning models for various tasks.
<u>7. Feature Engineering: </u>
Deepen your understanding of feature engineering techniques, including feature selection, dimensionality reduction, and feature scaling. Learn how to preprocess data to improve model performance.
<u>8. Model Evaluation and Validation:</u> 
Learn different techniques to evaluate and validate machine learning models, such as cross-validation, performance metrics, and bias-variance tradeoffs. Understand how to interpret and improve model performance.
<u>9. Continuous Learning:</u>
Data science is a rapidly evolving field, so it's crucial to stay updated with the latest tools, techniques, and research papers in this field. Engage in online communities, attend webinars, and read relevant blogs and books
What is the impact factor of IJSET journal?
Tags: research, webdev, devjournal, researcher
Published: 2023-09-30 12:17:26

The International Journal of Science Engineering and Technology (IJSET) is an online journal that publishes scientific papers. The website mentions that the **[publication fee is 750](https://www.ijset.in/international-journal-publication-fee-750/)** INR, but it is unclear whether this information is up-to-date or accurate. 

The fee includes **[online paper publication](https://www.ijset.in/online-paper-publishing-journals/)**, soft copy of certificates, posting charges, indexing, maintenance of link resolver, and journal infrastructures According to the information available on the International Journal of Science Engineering and Technology ([IJSET](https://www.ijset.in/peer-reviewed-academic-journal/)) website, the impact factor of the journal is 6.09. However, it is worth noting that this information is not independently verified and may not be up-to-date.

Another website, Global Impact Factor, lists the impact factor of the **[International Journal of Science, Engineering and Technology Research](https://www.ijset.in/google-scholar-peer-reviewed/)** as 0.786 in 2015. However, this may not be the most recent impact factor.
Os Superpoderes de 'static' e a Inquebrável Fortaleza 'final'🚀🛡️🔮
Tags: java, beginners, programming, braziliandevs
Published: 2023-09-30 12:15:36

## Static em Java 🚀

Em Java, a palavra-chave static é usada para criar membros (métodos e variáveis) que pertencem à classe em vez de pertencerem a objetos específicos dessa classe. É como ter algo que é compartilhado por todas as instâncias (objetos) da classe.

_Não esqueça de deixar seu like_ ❤️

**Exemplo**:

![Exemplo Static](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/w9au29z9p568g0oteqsj.png)

Aqui, quantidade é uma variável estática que pode ser acessada diretamente usando Contador.quantidade. O método incrementar é estático e pode ser chamado usando Contador.incrementar(), independentemente de quantos objetos Contador você criou.

## Final em Java 🛡️

A palavra-chave final em Java é usada para tornar algo imutável, ou seja, uma vez que você atribui um valor a uma variável ou declara um método como final, ele não pode ser alterado ou substituído.

**Exemplo**:

![Exemplo Final](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/g19jjm5zynwlg0ldfmg5.png)

Neste exemplo, PI é uma constante final que não pode ser alterada após sua atribuição inicial. O método desenhar é final e não pode ser sobrescrito por subclasses de Circulo.

Resumindo, static é usado para criar membros compartilhados entre objetos de uma classe, enquanto final é usado para criar constantes ou métodos imutáveis. 

_Agora você já está pronto para aprender sobre Atributos Privados, Públicos e Protegidos_
[Clique aqui para aprender](https://dev.to/antoniorws/desvendando-os-segredos-dos-atributos-em-java-privados-publicos-e-protegidos-5d1p)🚀

Repositório com a trilha de java: https://github.com/antoniorws/basic-java

LinkedIn: https://www.linkedin.com/in/antonio-rodrigo-wanderley-serra/
GitHub: https://github.com/antoniorws
Data Science for Beginners; 2023-2024 Complete Road Map.
Published: 2023-09-30 12:09:49

Excited to kick-start your Data Science career?  Let’s get into it. Starting out this exciting journey into data science can be challenging and overwhelming given the vast array of skills and competencies one is required to have in order to excel in this field. Let’s dive into the world of data science with this complete road map. First, we will start by defining and understanding what data science is. 

##**What is Data Science?**
Data science is a multidisciplinary academic field of study that extracts meaningful knowledge and insights from data (this may be structured or unstructured data) through the use of statistics, scientific methodologies, algorithms and systems.

###**2023-2024 Complete Data Science Road Map**
**Phase 1: Foundational Knowledge**
The journey begins by building a strong foundation in mathematics and programming. First focus on the following areas.
	**Mathematics**
These instills a great foundation in data analytical methodologies and statistics.
o	Linear Algebra
o	Calculus
o	Probability and Statistics
	**Programming**
These programming languages are essential in data manipulation and analysis.
o	Python
o	R

**Phase 2: Data Manipulation and visualization**
	**Manipulation**
- 	NumPy (Python)
- 	Pandas (Python)
- 	Dplyr (R)
- 	Visualization
- 	Matplotlib (Python)
- 	Seaborn (Python)
- 	Ggplot2 (R)

**Phase 3: Data exploration Analysis and Preprocessing**
- 	Exploratory Data Analysis (EDA)
- 	Feature Engineering
- 	Data Cleaning
- 	Handling Missing Data
- 	Data Scaling and Normalization

**Phase 4: Machine Learning**
Familiarizing yourself with popular machine learning algorithms like linear regression, decision trees, and neural networks.
	**Supervised Learning**

- 	Regression
- 	Classification
	**Unsupervised Learning**

- 	Clustering
- 	Dimensionality Reduction
	**Reinforcement Learning**
	**Model Evaluation and Validation**

- 	Cross-validation
- 	Hyperparameter Tuning
- 	Model Selection
	**ML Libraries and Frameworks**

- 	Scikit-learn (Python)
- 	TensorFlow (Python)
- 	Keras (Python)
- 	PyTorch (Python)

**Phase 5: Deep Learning**
- 	Neural Networks
- 	Convolutional Neural Networks (CNNs)
- 	Recurrent Neural Networks (RNNs)
- 	Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU)
- 	Generative Adversarial Networks (GANs)

**Phase 6: Big Data Technologies**
With an increasing volume of data, knowledge in big data tools and cloud platforms eg; AWS and Azure is very valuable.
- 	Hadoop
- 	Spark
- 	NoSQL Databases

**Phase 7: Data Visualization and reporting**
- 	Dash-boarding Tools
- 	Storytelling with Data
- 	Effective Communication

**Phase 8: Real World Projects**
Applying the knowledge gained in developing real world projects is a very crucial step as it familiarizes you in solving real world problems ad also helps you in gaining practical experiences. This will in turn help you in building your resume or CV.
Unveiling The Hidden Power Of A Home Service Podcast
Tags: homeservicepodcast, hvacpodcast, homeservicebuinesspodcast, homeserviceindustrypodcast
Published: 2023-09-30 12:02:12

In today's fast-paced world, where information and insights are just a click away, podcasts have emerged as a powerful medium to share knowledge, stories, and expertise. As homeowners, professionals, or enthusiasts in the home service industry, tuning into the right podcast can be informative and engaging. Welcome to a journey into the realm of a [home service podcast](https://www.grownearby.com/best-hvac-podcasts/).

**1. Diving into the Home Service Industry**
HVAC podcast episodes delve into the intricacies of the home service sector, shedding light on the various aspects that shape the industry. From plumbing to electrical work, landscaping to HVAC systems, these podcasts offer a comprehensive understanding of what it takes to excel in this dynamic field.

**2. Insights from Home Service Business Leaders**
Tune in to hear from successful entrepreneurs, business owners, and experts who have navigated the challenges and triumphs of the home service business. Whether you're a veteran or an aspiring entrepreneur, your stories, strategies, and lessons learned can provide invaluable guidance.

**3. Navigating the Home Service Landscape**
The industry is vast and ever-evolving. [Home service business podcast](https://www.grownearby.com/podcast/elevating-your-business-shaky-economy/) episodes serve as virtual guides, helping you navigate the trends, technologies, and best practices that define this landscape. Whether you want to upgrade your HVAC system or enhance your landscaping, these podcasts offer actionable insights.

**4. Learning from Real-Life Experiences**
Vac podcast episodes often feature real-life experiences and case studies from professionals who have tackled diverse challenges in the home service arena. These firsthand accounts provide a unique perspective on problem-solving and decision-making, offering listeners a chance to learn from others' successes and setbacks.

**5. Staying Updated with Industry Trends**
The home service industry continually evolves, with new technologies, regulations, and consumer preferences shaping its trajectory. A [home service industry podcast](https://www.grownearby.com/podcast/raw-talks-with-ken-goodrich/) informs you about the latest trends and developments, ensuring you stay ahead.

In a world where time is precious and staying informed is crucial, these podcasts offer a convenient and engaging way to expand your knowledge, gather insights, and connect with like-minded individuals within the industry. So whether you're a homeowner seeking tips for DIY projects or a professional aiming to excel in the home service business, tuning in to relevant podcasts can be a game-changer for your journey.

Are you ready to dive into the world of electrical services? Tune in to [Grow Nearby](https://www.grownearby.com/) podcast episodes for in-depth discussions on electrical solutions, industry insights, and more. Stay informed and inspired with our electrical podcast.
How to choose a license for your GitHub repository
Tags: opensource, beginners, ai, github
Published: 2023-09-30 11:59:34

### “Explain me like I’m 5!”

Imagine you made a cool toy, and you want to share it with your friends. But you also want to set some rules for how they can play with it. These rules are like licenses for open source projects. Here are some popular ones:

1. **public domain**
   - This is like saying, "Play with my toy however you like! You can even say it's your own."

2. **mit license**
   - You say, "You can play with my toy and even change it, but you have to say I made the first version."

3. **gnu general public license (gpl)**
   - This one's like, "You can play and change my toy, but if you share your changed toy, you must use the same rules I did."

4. **apache license**
   - It's like the MIT license, but you also say, "If you make a new version of my toy, tell everyone what you changed."

5. **bsd license**
   - You say, "Play with my toy and change it if you want. Just remember to say I made the first one. And don't use my name to say your toy is the best."

6. **mozilla public license (mpl)**
   - It's like saying, "You can play and change my toy, but if you make a new part, you need to share that new part with the same rules."

Now, which license you pick depends on how you want people to use and share your toy (or project). Some let others do almost anything, and some have stricter rules. It's up to you!

---

Our WebCrumbs is under MIT. It’s Wordpress for React. Check it here: [GitHub Repo](https://github.com/webcrumbs-community/webcrumbs) 😊
How can I pay the article processing fee for IJSRET?
Published: 2023-09-30 11:49:44

To pay the article **[processing fee for IJSRET](https://ijsret.com/2018/04/20/international-journals-low-publication-charges/)**, you can follow the steps below: 

Determine the fee amount based on your author status and the type of publication. For foreign authors, the fee is 32 USD or 60 USD depending on the website. For Indian authors, the fee ranges from **[Rs. 600 to 1000/](https://ijsret.com/2018/04/25/international-journal-publication-fee-1000/)**-, depending on the quality of content and research 

- Visit the IJSRET website and navigate to the "Publication Charge" or "Fees" page 
- Choose the payment method that suits you best. **[IJSRET](https://ijsret.com/2018/04/20/fast-publication-journals-impact-factor/)** accepts various payment methods, including online payment, bank transfer, and PayPal 
- Follow the instructions provided on the payment page to complete the transaction. You may need to provide your personal and payment information, such as your name, email address, and credit card details 

It is worth noting that **[IJSRET offers free submission](https://ijsret.com/2020/08/15/list-of-journals-without-publication-fee/)** and publication of papers without financial restriction However, this is a different journal from IJSRET, which charges a publication fee.
5 Ways Bun is just better, than NodeJS
Tags: bunjs, javascript, typescript
Published: 2023-09-30 11:47:47

Bun, it seems to be everywhere nowadays, is it worth the hype or it will fade away just like deno did, let's have a deeper look shall we.

# The Good Parts
## It's fast, ...really fast
While bun has a lots of nice features, the greatest one so far is the performance it offers, the biggest difference that bun has compared to nodejs under the hood is the JavaScript engine that they are using.

NodeJS is build on the trust V8 engine, which is a pretty good engine, but the Bun team decided to go ahead with JavaScriptCore given it's way faster and memory efficient compared to the v8 engine.

## Excellent TypeScript Support
Adding TypeScript to your application is easy but it's still a hassle you need to take care of, with Bun we get "Native" TypeScript support, heck you can even import a typescript file into a javascript file without doing any sort of transpiling.

## It's also a Bundler

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/zcx0fzywpzuuy36iq5at.jpg)

Bun has a bundler built in (I know, shocking) and guess what it's faster than webpack, it also has several plugins for loading files for scss, json, toml and much more.

## New Native Libraries (yay!)
Bun has an HTTP server built into it, after some testing I can say it's all right which is faster than express, it also has saveral libraries for Worker, File I/O, Hashing and much more but what really blew my mind was the inclusion of WebSockets, with bun implementing that will be easier than ever.

## SQLite, Really?
Yes, you heard it right, it's has support for SQLite databases natively built into the runtime, it could be a real Boon(no pun intended) when you are working on small localized applications.

## Closing Remarks
Given all the points above, bun is a promising candidate to replace NodeJS, but only time will tell.
SQLite Insert Query: A Detailed Guide
Tags: beginners, database
Published: 2023-09-30 11:41:07

The INSERT statement in SQLite is used to insert new rows of data into a table. It allows you to add new records to a table in a database. 

## Syntax

The basic syntax for INSERT is:

```sql
INSERT INTO table_name (column1, column2, ...)
VALUES (value1, value2, ...); 
```

This will insert a new row with the specified column values into the table.

You can also insert multiple rows at once:

```sql
INSERT INTO table_name (column1, column2, ...)  
VALUES
    (row1_value1, row1_value2, ...), 
    (row2_value1, row2_value2, ...),
    ...;
```

If you are inserting values into all columns of the table, you can omit the column names: 

```sql 
INSERT INTO table_name  
VALUES (value1, value2, ...);
```

## Example 

Let's look at an example to demonstrate SQLite insert. 

First we'll [create a table](https://sqldocs.org/sqlite/sqlite-create-table/) called `users`:

```sql  
CREATE TABLE users (
  id INTEGER PRIMARY KEY,
  name TEXT, 
  age INTEGER  
);
```

This creates a new table with columns for id, name, and age.

Now we can insert new rows into this table. When inserting rows, we need to specify the column names we want to insert data into, along with the corresponding values for those columns.

For example:

```sql
INSERT INTO users (name, age) VALUES ('John', 30);
```

This will insert a new row into the `users` table, populating the `name` and `age` columns with the values 'John' and 30 respectively. 

We can also insert a row and have the id column automatically populated by an [auto-incrementing primary key](https://sqldocs.org/sqlite/sqlite-operators/) if we defined it that way in the table schema:

```sql
INSERT INTO users VALUES (NULL, 'Mike', 40);
``` 

Here we specify `NULL` for the id column, and SQLite will generate a unique integer id automatically. 

To verify the inserts, we can [query the users table](https://sqldocs.org/sqlite/sqlite-show-tables/) to see the rows:

```sql 
SELECT * FROM users;
```

Which would return:

```
id          name        age        
----------  ----------  ----------
1           John        30
2           Mike        40
```

We can see the two new records were successfully inserted.

## Inserting With a Select Statement

You can also populate a table by inserting rows from another existing table. This is done using a SELECT statement with INSERT:

```sql 
INSERT INTO table2
SELECT * FROM table1; 
```

This will insert all rows from `table1` into `table2`. The columns need to match between the two tables when inserting like this. 

## Summary 

In summary, the INSERT statement allows you to add new data rows to a SQLite table. It is a fundamental CRUD operation for populating new data into a database.
Do Laundry During System Demos
Tags: career, watercooler, beginners, tutorial
Published: 2023-09-30 11:38:44

When I'm jammed on a technical problem, time evaporates. I'll bargain with myself on when to separate. After a lengthy back-and-forth in self-negotiation on "one more thing!" I'll [go for a walk](https://medium.com/@solidi/do-great-at-working-remotely-adbfe4b7452b). Recovering from mental despair, walking helps my mind collect unexplored methods to attack the frustrating problem. I'll organize my bubbling ideas to rebuild hope that this intractable problem is solvable.

Moderate physical activity helps my mind focus, and studies have [confirmed my experiences](https://studyfinds.org/shower-thoughts-great-ideas/). At least for me, doing something physical unlocks new ways of thinking. Another great example is showering. My likelihood of achieving the desired outcome increases proportionally to my number of showers. Showering is a time to navigate said problem. I just have to watch for the incoming Slack message my manager desperately awaits an answer.

There is my ritual of making tea or coffee as a build proceeds. Better yet, speaking to myself out loud to a rubber duck to navigate logic. Sometimes, [writing](https://dev.to/solidi/technically-considered-writing-3nng), typing, or talking to another human will help separate me from the frustrating problem. Yeah, there are many ways to unstick what is stuck. For me, it requires separation to refocus my approach. More importantly, I have to do something physical.

But what is my most productive activity? I look no further than doing laundry. Performing the folding, sorting, and stacking is a great way to organize my plan of attack on a frustrating situation. In my experience, it has dispatched all my technical and personal problems.

Funny as it sounds, there is no other place like speaking to my pile of warm linens as our [system demo](https://dev.to/solidi/how-to-crush-your-next-team-demo-2bb5) proceeds on Webex. The best ideas had come from here.