#SQL programming
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aicorr · 3 months ago
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futurebird · 5 months ago
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Do not help them to build any more of this machine.
If you work with a database and are asked to alter the table structure to comply in advance for citizenship or gender categorizations it's really important to NOT do it.
"The governor is concerned about all this stuff they want us to update our record keeping so we store both gender AND biological sex."
"We need fields to store the country of origin of people's parents."
If you don't have the power to rebuff this yourself, ask for help. At minimum ask for help online anonymously.
Depending on your job you probably have in the past made compromises. Maybe to keep your job. Maybe to survive. This is a bright line. If you are asked to be the one to update the table don't let it be your fingers typing those changes.
If you can't just say "No I won't do that." Stall, run away, feign incompetence. Just don't let it happen.
I suspect this might be where the rubber hits the road first for us around here.
Nothing has changed. You do not have to do it. It is not even ordained.
I know someone who rebuffed such a request. Boss was apologetic "it's what the higher ups want, oh *I* think it's a lot of nonsense, but I don't want us to be out of step ... blah blah"
It was proposed to them in sheepish way. They said it would be a lot of work, not add anything of value, and most important they would not do it. It didn't come up again.
Fascism can be the work of zealots, but there are also many sheepish middle management helping hands who "don't even believe in this really"
There is a lively discussion of this on mastodon. (Mastodon is a very active social network where many people who left twitter have gone over the past few years to escape many problems of big centralized socail media. I like it a lot.) Posting a response to this post over there could be a way to get lots of help and ideas from tech people all over the world with similar values. If you do need help. Please say something.
Also, if you respond to this post I can pass what you say along if that would help too. People will respond and give you ideas to NOT do this should you be asked.
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systemdeez · 6 months ago
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This faggot just got a B in their SQL class :3
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nerdymemes · 2 years ago
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sectoralchromatics · 6 months ago
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me because i'm unemployed and crazy: “here's a worksheet where you can see what the rally people do before they started their career fulltime !”
only get my hands on info of like 50 people and also the numbers are heavily skewed towards finns and frenchies. because .. duhh
charts breakdown part ! (this is just a part where i yap)
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unsurprisingly many drivers had a career right in motorsports or some motorsports-related jobs like mechanics/engineers (started driving at a very young age, too). but also there's quite a portion of them studied law or practiced law previous to making a career out of racing. maybe driving 125km/h is the perfect way of destressing after memorising 300 lines of civil law 🙏
now about co-drivers. most of them studied engineering or even had really successful corporate jobs. like jonne halttunen is literally a ceo and he prolly has enough money to provide for kalle for the rest of his life lol. besides that we have the sportsplayers who switched over after some injury (enni included) or the military people - tina thörner was one of the first women to make it into the swedish air force and guy frequelin was a tank driving instructor ! so basically co-drivers be having the craziest sidejobs ever…
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now since i have the most data for finland and france: voilà! comparison chart ! (co-drivers included)
apparently finns (and drivers in nordic countries) can have a professional rallying career at a very early age - usually they do this with external funding or working as a developer/driving instructor for car manufacturers. meanwhile most frenchies dabbled in a lot of jobs or struggled financially before they can have a full-time seat.
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12neonlit-stage · 7 months ago
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I go by no pronouns but not as in my name, more so like my pronouns are an undefined variable in shell coding
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crackaddict55 · 2 years ago
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🤩Are you a CS Student !?!???? 🥳🤩😎CHECK OUT THESE-
No. No I’m not. I study at home.
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codingquill · 2 years ago
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SQL Fundamentals #1: SQL Data Definition
Last year in college , I had the opportunity to dive deep into SQL. The course was made even more exciting by an amazing instructor . Fast forward to today, and I regularly use SQL in my backend development work with PHP. Today, I felt the need to refresh my SQL knowledge a bit, and that's why I've put together three posts aimed at helping beginners grasp the fundamentals of SQL.
Understanding Relational Databases
Let's Begin with the Basics: What Is a Database?
Simply put, a database is like a digital warehouse where you store large amounts of data. When you work on projects that involve data, you need a place to keep that data organized and accessible, and that's where databases come into play.
Exploring Different Types of Databases
When it comes to databases, there are two primary types to consider: relational and non-relational.
Relational Databases: Structured Like Tables
Think of a relational database as a collection of neatly organized tables, somewhat like rows and columns in an Excel spreadsheet. Each table represents a specific type of information, and these tables are interconnected through shared attributes. It's similar to a well-organized library catalog where you can find books by author, title, or genre.
Key Points:
Tables with rows and columns.
Data is neatly structured, much like a library catalog.
You use a structured query language (SQL) to interact with it.
Ideal for handling structured data with complex relationships.
Non-Relational Databases: Flexibility in Containers
Now, imagine a non-relational database as a collection of flexible containers, more like bins or boxes. Each container holds data, but they don't have to adhere to a fixed format. It's like managing a diverse collection of items in various boxes without strict rules. This flexibility is incredibly useful when dealing with unstructured or rapidly changing data, like social media posts or sensor readings.
Key Points:
Data can be stored in diverse formats.
There's no rigid structure; adaptability is the name of the game.
Non-relational databases (often called NoSQL databases) are commonly used.
Ideal for handling unstructured or dynamic data.
Now, Let's Dive into SQL:
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SQL is a :
Data Definition language ( what todays post is all about )
Data Manipulation language
Data Query language
Task: Building and Interacting with a Bookstore Database
Setting Up the Database
Our first step in creating a bookstore database is to establish it. You can achieve this with a straightforward SQL command:
CREATE DATABASE bookstoreDB;
SQL Data Definition
As the name suggests, this step is all about defining your tables. By the end of this phase, your database and the tables within it are created and ready for action.
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1 - Introducing the 'Books' Table
A bookstore is all about its collection of books, so our 'bookstoreDB' needs a place to store them. We'll call this place the 'books' table. Here's how you create it:
CREATE TABLE books ( -- Don't worry, we'll fill this in soon! );
Now, each book has its own set of unique details, including titles, authors, genres, publication years, and prices. These details will become the columns in our 'books' table, ensuring that every book can be fully described.
Now that we have the plan, let's create our 'books' table with all these attributes:
CREATE TABLE books ( title VARCHAR(40), author VARCHAR(40), genre VARCHAR(40), publishedYear DATE, price INT(10) );
With this structure in place, our bookstore database is ready to house a world of books.
2 - Making Changes to the Table
Sometimes, you might need to modify a table you've created in your database. Whether it's correcting an error during table creation, renaming the table, or adding/removing columns, these changes are made using the 'ALTER TABLE' command.
For instance, if you want to rename your 'books' table:
ALTER TABLE books RENAME TO books_table;
If you want to add a new column:
ALTER TABLE books ADD COLUMN description VARCHAR(100);
Or, if you need to delete a column:
ALTER TABLE books DROP COLUMN title;
3 - Dropping the Table
Finally, if you ever want to remove a table you've created in your database, you can do so using the 'DROP TABLE' command:
DROP TABLE books;
To keep this post concise, our next post will delve into the second step, which involves data manipulation. Once our bookstore database is up and running with its tables, we'll explore how to modify and enrich it with new information and data. Stay tuned ...
Part2
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doberbutts · 1 year ago
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Like the whole "DOOM runs on anything" meme is funny sure but technically you can run any program on any machine that has the processor, memory, and storage space for it. You may need to tweak some thing here and there to get it fully operational but really that's mostly what it hinges on.
I turned my windows netbook into a Debian server and then turned *that* into cloud-based storage I could dump and share and run any files I wanted to off my internet connection when I was in college by tying an external hard drive to it using an always-on connection. I still technically have the hard drive but I sold the netbook a long time ago. I also turned my MacBook from college into an always-on minecraft server for my college friends before Microsoft decided to give us actual multi-player support.
I also turned my MacBook into a windows OS emulator when I wanted to game because I got annoyed that Mac ports are usually poopoobad quality. So I would turn my MacBook on and then load up my windows os inside of the Mac os and then actually load the game.
Like yeah I went to school for programming but I actually learned how to do most of that as a kid because my dad had a computer that had no GUI, it was all command prompt and DOS. There are times when my current windows computers are annoying me because they won't do the thing I told them to do so I load up dos and then effectively go "I wasn't asking" at it.
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studentbyday · 2 years ago
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day 43 // 100doc
finished sql lab
finished movies problem
worked on fiftyville - gotta check my queries tmr bc I don't get the right answers...
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crows-of-buckets · 8 months ago
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I love how everytime I'm like "I'm going to get so much work done today!" My focus and attention span decides it's going to go fuck off to God knows where
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aicorr · 6 months ago
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mechanical-moron · 2 years ago
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Programmers, Web designers, game developers, anyone else who does stuff with numbers on a computer screen.....curious to know if you guys ever dream in code, and if so, do you like it? I for one do not find it to be particularly enjoyable but want to hear what others have to say lol.
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sumon58 · 3 months ago
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turtle-programming · 6 months ago
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My certificate from SoloLearn ...
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Topics: Data Programming with SQL & Python
Post #59: SoloLearn, Data Programming, SQL and Python Tutorial, 2025.
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education43 · 9 months ago
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What Are the Qualifications for a Data Scientist?
In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.
The Key Qualifications for a Data Scientist
To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:
1. Educational Background
A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.
2. Proficiency in Programming Languages
Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.
3. Understanding of Machine Learning
Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.
4. Data Wrangling Skills
Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.
5. Statistical Knowledge
Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.
6. Communication and Data Visualization Skills
Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.
7. Domain Knowledge
Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.
Why Choose DataCouncil for a Data Science Course in Pune?
If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:
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#In today's data-driven world#the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making#understanding customer behavior#and improving products#the demand for skilled professionals who can analyze#interpret#and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientis#how DataCouncil can help you get there#and why a data science course in Pune is a great option#this blog has the answers.#The Key Qualifications for a Data Scientist#To succeed as a data scientist#a mix of technical skills#education#and hands-on experience is essential. Here are the core qualifications required:#1. Educational Background#A strong foundation in mathematics#statistics#or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields#with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap#offering the academic and practical knowledge required for a strong start in the industry.#2. Proficiency in Programming Languages#Programming is at the heart of data science. You need to be comfortable with languages like Python#R#and SQL#which are widely used for data analysis#machine learning#and database management. A comprehensive data science course in Pune will teach these programming skills from scratch#ensuring you become proficient in coding for data science tasks.#3. Understanding of Machine Learning
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