Python programming with MySQL database: for Data Science

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.

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.

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.

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.

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 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.