Python programming with MySQL database: for Data Science

Learn the basics of HTML, including what HTML stands for, opening and closing tags, and how to build interconnected web pages viewable in browsers, following W3C standards.

Learn how to choose a good code editor for python programming with MySQL data science, and explore popular options like Sublime Text, Visual Studio Code, and Notepad++.

Install Sublime Text editor by downloading from the Sublime Text website, choosing Windows or other OS, running the setup, and launching the editor to start coding.

Explore an overview of a web page, including domain names, hosting, publishing in the public domain, and how browsers load pages by typing a domain.

Explore the basic structure of a full HTML webpage, including the head and body sections, opening and closing tags, and how style tags shape the page’s presentation.

learn to use heading tags from h1 to h6 to control font size and weight for clear page structure, and save a file to preview in a browser.

Learn to format text with HTML tags such as bold, italic, strong, mark, and subscript or superscript, and preview paragraph styling in the browser for data science.

Learn to create unordered lists in html with ul and li, explore bullet styles, and compare to ordered lists, using examples like subjects and days of the week.

Learn to create and customize ordered lists in HTML by using the type attribute to switch between numbers, uppercase letters, lowercase letters, and Roman numerals, enabling clear grouping of items.

Learn how to define and apply css classes to html elements, style text with color and font properties, and reuse styles with a stylesheet to create visually appealing web pages.

Apply ids to HTML div elements and connect them to CSS styles. Practice setting background colors, padding, borders, and text spacing to build simple styled sections.

Master comment lines in python programming to document code, using opening and closing tags to hide or reveal text, write descriptive lines for design or changes, and selectively display paragraphs.

Learn how to display reserved characters in HTML using entities, including ampersand, less than, greater than, and common symbols like yen, pound, and the copyright or registered trademarks.

Explore how the div tag creates divisions or sections to group elements, apply CSS with classes and IDs, and control layout, alignment, borders, and backgrounds in web pages.

Build a basic HTML registration form with name, email, password, address, state, country, and pin code fields, using labels, input types, maxlength, and a submit or reset button.

Design a simple contact us form with name, mobile, country, subject fields and a submit button, styled with CSS for containers, labels, inputs, and a country select.

Participate in a coding exercise to build a simple student registration form with fields for name, father's name, email, password, address, country, and action buttons submit, cancel, and reset.

Designs a student registration form by implementing labels and input types for name, email, password, address, state, country, and pin code, with submit, reset, and cancel controls.

Explore Python as an interpreter and high-level language that emphasizes code reliability through indentation and object-oriented design. This design supports reusable code and saves time for large-scale projects.

Install python on Windows by downloading from the official site, choosing Python 3.10.2 64-bit, adding to PATH, and verifying with IDLE and a simple print command.

Learn to write a hello world program in Python for data science by creating a Python file in an IDE, writing a print statement, and running it to see output.

learn to capture user inputs in python with the input function, assign to variables, and convert strings to integers or floats for calculations, including name and age examples.

Learn how to use Python comments to explain code, document purpose, and improve readability, including single-line and multi-line comments, while understanding that comment lines are ignored by the compiler.

Learn string indexing in Python using zero-based, positive indices from left to right and negative indices from right to left. Practice retrieving single characters and previewing string slicing.

Explore arithmetic operators in Python by using integers and float values to perform addition, subtraction, multiplication, division, percent, and power, with examples and operator precedence.

Understand how the and operator in Python requires both conditions to be true, using x>3 and x<10, and apply this to loan eligibility with income and credit score.

Explore how the not operator negates booleans, influencing loan eligibility by flipping true and false, and combine with and/or for clear logical expressions.