PYTHON_Pt.1_Python Lectures From Basics.pptx

PYTHON_Pt.1_Python Lectures From Basics.pptx

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  PYTHON FOR STRUCTURE ENGINEERS •Engr.Hassan Tahir •(Structure Engineer) •hassantahir275@gmail.com •Designmen Consulting Engineers Pvt (Ltd.)
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  I am aPracticing Civil Engineer with over 3 years of experience in Designmen Consulting Engineers. Possesses expertise in Structural design, Building Information Modelling, Project management, and Project coordination. My expertise lies in the analysis and design of reinforced concrete and steel structures. I have a keen interest in integrating Building Information Modeling with structural design, conducting seismic evaluations of structures, performing finite element analysis, and exploring innovative construction materials. Demonstrated success in managing projects for renowned clients like Aga Khan Education Services, NUML, Helping Hand, and Iqra University.
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  VISION FOR THEFUTURE Python has emerged as a powerful tool in the field of structural engineering, enabling engineers to streamline their workflows, automate repetitive tasks, and leverage advanced data analysis capabilities. This presentation will explore the benefits and practical applications of Python in structural analysis and design. My vision for the presentation is to introduce structural engineers to the Python programming language, starting from the basic concepts and leading them through to more advanced topics. The aim is to familiarize engineers with Python so they can leverage its powerful features in their work.
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  The lectures aredivided into three sections: Python Basics, Intermediate, and Advanced. In this presentation, I will discuss the fundamental concepts of Python, which include Data Types, Functions, and Operators.
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  DATA TYPES • InPython, data types are the classification or categorization of data items. • They represent the kind of value that tells what operations can be performed on a particular data. • Data types are used to define the type of a variable, specifying what type of data we are going to store in a variable. Python has the following basic built-in data types: • Text Type • Numeric Type • Boolean
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  TEXT TYPE • String:This is used for a sequence of characters, text or strings. • str is short of string. • Note: Always write in single or double Quotation Mark (“”) • Example: “Hassan”
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  NUMERIC TYPE Integer: Itcontains positive or negative whole numbers (without fraction or decimal). int is short of integer. Float: This is a number that contains a decimal point.
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  BOOLEAN TYPE Bool: Thisis used for True/False value.
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  FUNCTION • A functionis a block of code that performs a specific task. • Function Call: To execute the code inside the function, you need to call the function. • This is done by using the function name followed by parentheses. For example, function() Types of function: • Print function • Input function • Type function
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  PRINT FUNCTION () •The print() function in Python outputs the specified message to the screen. The message can be a string, or any other object, the object will be converted into a string before written to the screen. Example:
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  In Python, f-strings,also known as formatted string literals, provide a concise and convenient way to embed expressions inside string literals for formatting. When to execute two datatypes in a function, ‘f’ function and {} is used. In the example above, name and age are variables of different data types (str and int, respectively.
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  INPUT FUNCTION () •The input() function in Python is a built-in function that allows for user input. • It presents a prompt to the user (the optional argument), waits for the user to enter some text, and then returns the text the user entered. • Here’s the syntax of the input() function: Input(prompt)
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  The n characterin Python is known as the newline character or line break. It’s used to start a new line in the output of the string.
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  TYPE FUNCTION () •The type() function in Python is a built-in function that returns the type of the specified object. • It’s mostly used for debugging purposes. • Syntax type(object, bases, dict)
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  OPERATORS • In Python,operators are special symbols, combinations of symbols, or keywords that designate some type of computation. • They are used to perform operations on variables and values Types of Operators • Arithmetic Operator • Assignment Operator • Comparison Operator
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  ARITHMETIC OPERATORS: • Theseare used with numeric values to perform common mathematical operations, such as addition (+), subtraction (-), multiplication (*), division (/), modulus (%), exponentiation (**), and floor division (//).
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  ASSIGNMENT OPERATORS • Theseare used to assign values to variables, such as equals (=), plus equals (+=), minus equals (-=), times equals (*=), divided by equals (/=), modulus equals (%=), floor division equals (//=), exponent equals (**=), and others.
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  COMPARISON OPERATORS • Theseare used to compare two values, such as equal to (==), not equal to (!=), greater than (>), less than (<), greater than or equal to (>=), and less than or equal to (<=).
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  REMEMBER In Python, the# symbol is used to start a comment. A comment is a line of text that Python won’t try to run as code. It’s just for humans to read. Comments can be used to explain Python code, make the code more readable, or prevent execution when testing code.
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  If/else and much more INTHE NEXT LECTURE ENGR. HASSAN TAHIR