Learn SQL CRUD basics and Here’s a fast overview of how to utilize them in 5 minutes.
SQL CRUD basics in 5 mins
SQL CRUD basics are the fundamental procedures that you must know in order to deal with databases. CRUD is a term that refers to commands in SQL Create, Read, Update, and Delete.
CREATE
To create a new table in a database, you can use the CREATE TABLE statement. You need to specify the name of the table, the columns and their data types, and any constraints or indexes that you want to apply. For example, this code creates a table called customers with four columns: id, name, email, and phone.
SQL
SQL
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CREATE TABLE customers (
id INT PRIMARY KEY,
name VARCHAR(50) NOT NULL,
email VARCHAR(50) UNIQUE,
phone VARCHAR(15)
);
MySQL returned an empty result set (i.e. zero rows). (Query took 0.0502 seconds.)Run Tutorial
CREATE TABLE customers (
id INT PRIMARY KEY,
name VARCHAR(50) NOT NULL,
email VARCHAR(50) UNIQUE,
phone VARCHAR(15)
ANCOVA: Analysis of Covariance with python
ANCOVA is an extension of ANOVA (Analysis of Variance) that combines blocks of regression analysis and ANOVA. Which makes it Analysis of Covariance.
Learn Python The Fun Way
What if we learn topics in a desirable way!! What if we learn to write Python codes from gamers data !!
Meet the most efficient and intelligent AI assistant : NotebookLM
Start using NotebookLM today and embark on a smarter, more efficient learning journey!
Break the ice
This can be a super guide for you to start and excel in your data science career.
ANOVA (Analysis of Variance ) part 1
A method to find a statistical relationship between two variables in a dataset where one variable is used to group data.
Basic plots with Seaborn
Seaborn library has matplotlib at its core for data point visualizations. This library gives highly statistical informative graphics functionality to Seaborn.
Matplotlib in python
The Matplotlib library helps you create static and dynamic visualisations. Dynamic visualizations that are animated and interactive. This library makes it easy to plot data and create graphs.
Plotly with Python and R
This library is named Plotly after the company of the same name. Plotly provides visualization libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST.
Numpy Array
Numpy array have functions for matrices ,linear algebra ,Fourier Transform. Numpy arrays provide 50x more speed than a python list.
NumPy: Python’s Mathematical Backbone
Numpy has created a vast ecosystem spanning numerous fields of science.
Introduction to Pandas: A Guide
Pandas is a easy to use data analysis and manipulation tool. Pandas provides functionality for categorical,ordinal, and time series data . Panda provides fast and powerful calculations for data analysis.
Pandas Dataframe in brief
In this tutorial, you will learn How to Access The Data in Various Ways From the dataframe.
Exploring the World of Sets in Python
Understand one of the important data types in Python. Each item in a set is distinct. Sets can store multiple items of various types of data.
A Beginner’s Guide to Immutable Tuples
Tuples are a sequence of Python objects. A tuple is created by separating items with a comma. They are put inside the parenthesis “”(“” , “”)””.
