The document acknowledges and thanks several people for their help and guidance in preparing the report. It thanks the professor and seminar for providing background information and inspiration for the topic. It also thanks the author's parents for financially supporting their studies and encouraging them to learn engineering.
This document provides a summary of a summer training report on Python and its libraries. It acknowledges those who provided guidance and support. It includes an introduction to the training institute, a table of contents outlining 6 chapters, and an introduction to the history and development of Python. It discusses Python's design as a scripting language and its use of object-oriented programming.
The document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language that is easy to learn and read. It also covers Python features such as portability, extensive standard libraries, and support for functional, structured, and object-oriented programming. The document then discusses Python data types including numbers, strings, and various Python syntax elements before concluding with the history and evolution of the Python language through various versions.
Python is an object-oriented programming language that allows programmers to reuse pre-existing code through objects. It has a simple syntax and is less verbose than other languages. Python code is written in source files with a .py extension and interpreted one line at a time. Source files contain libraries and main code and use comments and whitespace to organize code. The print function displays text on the screen.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Python An Introduction, A presentation Developed by Swarit Wadhe. This Slide Will Give you basic information about python (Origin, Codes and difference from other languages).
I hope you'll find this helpfull and if you do please share it with your fellows.
This document provides an overview of the Python programming language and its applications. It begins by defining Python as a clear and powerful object-oriented language. It then lists some of Python's key features, such as its elegant syntax, large standard library, ability to run on multiple platforms, and being free and open source. The document provides a simple "Hello World" example in Python. It also compares short code samples in Python, C++ and Java. The remainder of the document discusses some common applications of Python, including web development, science/engineering, robotics, GUI development, data science, machine learning, computer vision and more. It provides examples of using Python for tasks like web crawling, games development, file management and automation
Python is a popular programming language introduced in 1991 by Guido van Rossum. It can be used for web development, software development, mathematics, and system scripting. The document discusses basics of Python including flow charts, algorithms, installing Python IDLE, and using variables in Python to store data values.
This document provides an introduction to the Python programming language. It covers Python's history and features, including its syntax, types, operators, control flow, functions, classes, and tools. Python is a readable, dynamic language suitable for web development, GUIs, scripting, and more. It has a focus on readability and productivity. Major companies and organizations that use Python include Google, NASA, Dropbox, IBM, Instagram, and Mozilla.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
A slightly modified version of original "An introduction to Python
for absolute beginners" slides. For credits please check the second page. I used this presentation for my school's internal Python course. thank you forviewing
Introduction to Python Programming language.pptxBharathYusha1
This document provides an introduction to the Python programming language. It discusses what Python is, how to install Python, and the two main ways to run Python programs: using an interactive interpreter prompt or script mode. It explains that Python is an object-oriented, high-level, interpreted programming language created in 1989 that supports multiple programming paradigms and can be used for a variety of applications. The document also provides steps for downloading, installing, and using Python on Windows systems.
The document provides information about booting of a computer system. It discusses that booting is required because the hardware does not know where the operating system resides or how to load it. A bootstrap loader, such as BIOS, is needed to locate the kernel and load it into memory.
The boot process begins with a reset event that loads instructions into the instruction register from a predefined memory location containing a jump to the bootstrap program stored in ROM. The bootstrap program then runs diagnostics, loads device drivers and initializes memory before locating and loading the operating system kernel to start the system startup process.
This document provides an introduction and overview of Python including sections on syntax, lists and dictionaries, for loops, and implementation examples. The introduction covers that Python code is indented using whitespace rather than brackets, semicolons are optional, and data types do not need declaration. Lists are described as arrays that can hold different data types indexed by number, while dictionaries hold key-value pairs indexed by keys that can be numbers, strings, or other data types. For loops in Python iterate over each item in a list or dictionary without needing an explicit condition. The implementation section provides examples of using for loops over lists, creating and accessing a dictionary of fruits, and making lists of dictionaries to demonstrate Python concepts.
Python tutorial for beginners - Tib academyTIB Academy
Get python training through simple tutorial from TIB Academy, through this python tutorial you can lean more topics of python. you can download python tutorial free as PPT
Python is a general-purpose, high-level programming language that is widely used for web and application development, data science, and machine learning. It was created by Guido van Rossum in 1991 and takes inspiration from languages like C, Java, Lisp, and Modula-3. Python code is human-readable and has an easy to learn syntax that uses indentation rather than brackets to indicate blocks of code. It supports multiple programming paradigms including object-oriented, imperative, and functional programming.
Python is an interpreted, object-oriented programming language that is used for a wide variety of applications. It was created in the late 1980s by Guido van Rossum. As an object-oriented language, Python supports features like encapsulation, abstraction, polymorphism, and inheritance. It has grown significantly in popularity in recent years due to its simplicity, readability, and ability to power complex applications and websites. Python is used for web development, scientific computing, desktop GUIs, and more.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum to address the need for a higher level language in the Amoeba operating system project. Python is widely used today for web development, science, system administration, and more due to its readability, object orientation, powerful libraries, and portability across operating systems. To use Python, one installs an IDE like Python 2.7 and then writes and runs code either in the Python command line or IDE.
These are the slides I was using when delivering the Python Crash Course (https://www.meetup.com/life-michael/events/247984087/). The crash course was delivered in Hebrew. More info about the Python Programming course I deliver can be found at python.course.lifemichael.com.
The document provides an overview of the Python programming language. It outlines the presentation which includes topics like Python overview, data types, control structures, input/output, functions, file handling, exceptions, modules, classes, examples comparing Python and Java, and useful tools. It then delves into more details on each of these topics, providing information on Python's history, versions, features, syntax, variables, statements, indentation and data types. It also discusses who uses Python and for what purposes.
This document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language created by Guido van Rossum. It describes several organizations that use Python extensively, such as Google, Facebook, Instagram, Spotify and Netflix. It also lists several domains where Python is commonly applied, including web development, game development, machine learning, data science and desktop applications. Finally, it provides instructions for installing Python on different operating systems.
Introduction to Python features history and download.pptxt715528
Python is a high-level programming language created by Guido van Rossum in 1991. It is an interpreted language with a clearly defined syntax and is portable across operating systems. Major companies like Google, YouTube, and Dropbox use Python for web development and applications in various fields. The document outlines how to download and install Python from the python.org website.
Introduction to python -easiest way to understand python for beginners
What is Python…?
Differences between programming and scripting language
Programming Paradigms
History of Python
Scope of Python
Why do people use Python?
Installing Python
This document provides an introduction to the Python programming language. It discusses what Python is, its key features such as being multi-purpose, object oriented, and interpreted. It describes Python's releases and popularity compared to other languages. The document also covers how to run and write Python programs, popular IDEs and code editors, installing packages with pip, categories of public Python packages, and package popularity. It discusses Python modularity with Anaconda and conda versus pip for installation.
This document is a summer training report submitted by Shubham Yadav to the Department of Information Technology at Rajkiya Engineering College. The report details Shubham's 4-week training program at IQRA Software Technologies where he learned about Python programming language and its libraries like NumPy, Matplotlib, Pandas, and OpenCV. The report includes sections on the history of Python, its characteristics, data structures in Python, file handling, and how to use various Python libraries for tasks like mathematical operations, data visualization, data analysis, and computer vision.
Training report 1923-b.e-eee-batchno--intern-54 (1).pdfYadavHarshKr
The document discusses Python, including its history, design philosophy, and uses. It began in the late 1980s as a scripting language with emphasis on code readability. Python supports multiple programming paradigms like object-oriented and functional programming. It has a large standard library and interpreters available on many operating systems.
REPORT ON AUDIT COURSE PYTHON BY SANA 2.pdfSana Khan
This document provides a summary of an audit course on Python taught by Prof. Kannan Moudgalya at IIT Bombay. It contains 6 chapters that cover topics like downloading and installing Python, data types and operators in Python, tuples and lists, loops and conditional statements, and the uses and scope of Python. The course was submitted by Sana Parveen to Moina Mam of the Department of Petroleum Studies at Aligarh Muslim University, Aligarh for the 2022-2023 academic year.
Python is a popular programming language introduced in 1991 by Guido van Rossum. It can be used for web development, software development, mathematics, and system scripting. The document discusses basics of Python including flow charts, algorithms, installing Python IDLE, and using variables in Python to store data values.
This document provides an introduction to the Python programming language. It covers Python's history and features, including its syntax, types, operators, control flow, functions, classes, and tools. Python is a readable, dynamic language suitable for web development, GUIs, scripting, and more. It has a focus on readability and productivity. Major companies and organizations that use Python include Google, NASA, Dropbox, IBM, Instagram, and Mozilla.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
A slightly modified version of original "An introduction to Python
for absolute beginners" slides. For credits please check the second page. I used this presentation for my school's internal Python course. thank you forviewing
Introduction to Python Programming language.pptxBharathYusha1
This document provides an introduction to the Python programming language. It discusses what Python is, how to install Python, and the two main ways to run Python programs: using an interactive interpreter prompt or script mode. It explains that Python is an object-oriented, high-level, interpreted programming language created in 1989 that supports multiple programming paradigms and can be used for a variety of applications. The document also provides steps for downloading, installing, and using Python on Windows systems.
The document provides information about booting of a computer system. It discusses that booting is required because the hardware does not know where the operating system resides or how to load it. A bootstrap loader, such as BIOS, is needed to locate the kernel and load it into memory.
The boot process begins with a reset event that loads instructions into the instruction register from a predefined memory location containing a jump to the bootstrap program stored in ROM. The bootstrap program then runs diagnostics, loads device drivers and initializes memory before locating and loading the operating system kernel to start the system startup process.
This document provides an introduction and overview of Python including sections on syntax, lists and dictionaries, for loops, and implementation examples. The introduction covers that Python code is indented using whitespace rather than brackets, semicolons are optional, and data types do not need declaration. Lists are described as arrays that can hold different data types indexed by number, while dictionaries hold key-value pairs indexed by keys that can be numbers, strings, or other data types. For loops in Python iterate over each item in a list or dictionary without needing an explicit condition. The implementation section provides examples of using for loops over lists, creating and accessing a dictionary of fruits, and making lists of dictionaries to demonstrate Python concepts.
Python tutorial for beginners - Tib academyTIB Academy
Get python training through simple tutorial from TIB Academy, through this python tutorial you can lean more topics of python. you can download python tutorial free as PPT
Python is a general-purpose, high-level programming language that is widely used for web and application development, data science, and machine learning. It was created by Guido van Rossum in 1991 and takes inspiration from languages like C, Java, Lisp, and Modula-3. Python code is human-readable and has an easy to learn syntax that uses indentation rather than brackets to indicate blocks of code. It supports multiple programming paradigms including object-oriented, imperative, and functional programming.
Python is an interpreted, object-oriented programming language that is used for a wide variety of applications. It was created in the late 1980s by Guido van Rossum. As an object-oriented language, Python supports features like encapsulation, abstraction, polymorphism, and inheritance. It has grown significantly in popularity in recent years due to its simplicity, readability, and ability to power complex applications and websites. Python is used for web development, scientific computing, desktop GUIs, and more.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum to address the need for a higher level language in the Amoeba operating system project. Python is widely used today for web development, science, system administration, and more due to its readability, object orientation, powerful libraries, and portability across operating systems. To use Python, one installs an IDE like Python 2.7 and then writes and runs code either in the Python command line or IDE.
These are the slides I was using when delivering the Python Crash Course (https://www.meetup.com/life-michael/events/247984087/). The crash course was delivered in Hebrew. More info about the Python Programming course I deliver can be found at python.course.lifemichael.com.
The document provides an overview of the Python programming language. It outlines the presentation which includes topics like Python overview, data types, control structures, input/output, functions, file handling, exceptions, modules, classes, examples comparing Python and Java, and useful tools. It then delves into more details on each of these topics, providing information on Python's history, versions, features, syntax, variables, statements, indentation and data types. It also discusses who uses Python and for what purposes.
This document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language created by Guido van Rossum. It describes several organizations that use Python extensively, such as Google, Facebook, Instagram, Spotify and Netflix. It also lists several domains where Python is commonly applied, including web development, game development, machine learning, data science and desktop applications. Finally, it provides instructions for installing Python on different operating systems.
Introduction to Python features history and download.pptxt715528
Python is a high-level programming language created by Guido van Rossum in 1991. It is an interpreted language with a clearly defined syntax and is portable across operating systems. Major companies like Google, YouTube, and Dropbox use Python for web development and applications in various fields. The document outlines how to download and install Python from the python.org website.
Introduction to python -easiest way to understand python for beginners
What is Python…?
Differences between programming and scripting language
Programming Paradigms
History of Python
Scope of Python
Why do people use Python?
Installing Python
This document provides an introduction to the Python programming language. It discusses what Python is, its key features such as being multi-purpose, object oriented, and interpreted. It describes Python's releases and popularity compared to other languages. The document also covers how to run and write Python programs, popular IDEs and code editors, installing packages with pip, categories of public Python packages, and package popularity. It discusses Python modularity with Anaconda and conda versus pip for installation.
This document is a summer training report submitted by Shubham Yadav to the Department of Information Technology at Rajkiya Engineering College. The report details Shubham's 4-week training program at IQRA Software Technologies where he learned about Python programming language and its libraries like NumPy, Matplotlib, Pandas, and OpenCV. The report includes sections on the history of Python, its characteristics, data structures in Python, file handling, and how to use various Python libraries for tasks like mathematical operations, data visualization, data analysis, and computer vision.
Training report 1923-b.e-eee-batchno--intern-54 (1).pdfYadavHarshKr
The document discusses Python, including its history, design philosophy, and uses. It began in the late 1980s as a scripting language with emphasis on code readability. Python supports multiple programming paradigms like object-oriented and functional programming. It has a large standard library and interpreters available on many operating systems.
REPORT ON AUDIT COURSE PYTHON BY SANA 2.pdfSana Khan
This document provides a summary of an audit course on Python taught by Prof. Kannan Moudgalya at IIT Bombay. It contains 6 chapters that cover topics like downloading and installing Python, data types and operators in Python, tuples and lists, loops and conditional statements, and the uses and scope of Python. The course was submitted by Sana Parveen to Moina Mam of the Department of Petroleum Studies at Aligarh Muslim University, Aligarh for the 2022-2023 academic year.
Python was created in the late 1980s by Guido van Rossum as a successor to the ABC programming language. It uses dynamic typing and garbage collection for memory management. Key features include its clear syntax, object orientation, modularity through packages, and extensive standard libraries. Python code is highly readable and portable across operating systems.
Python is a powerful and object-oriented programming language that has grown rapidly in popularity due to its simplicity and flexibility. It supports multiple programming paradigms and has a large standard library. Python source code is first compiled to bytecode, which is then executed by the Python Virtual Machine. While Java may be faster for single algorithms, Python is easier for beginners to learn and its dynamic typing and automatic memory management make programs quicker to write. It has gained widespread use for web development, data science, and scripting.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum who named it after the Monty Python comedy troupe. People use Python for a variety of tasks due to its readability, object-oriented capabilities, extensive libraries, and ability to integrate with other languages. To run Python code, it must first be compiled into bytecode which is then interpreted by the Python virtual machine.
This document provides an overview and introduction to learning Python. It discusses installing Python, running Python programs through interactive prompts and files, and the basics of working with Python, including data types, operators, control statements, and functions. It also covers the differences between Python 2 and Python 3, recommending that new code be written in Python 3. The document is intended to help readers get started with learning the core concepts of the Python language.
Python Programming-Lesson 1- Installation and Environmental Set-up.pptxBautistaAljhonG
This document discusses installing and setting up the Python programming environment. It provides an overview of why Python is a good programming language due to its cross-platform capabilities and simple syntax. It then covers installing Python on Windows, Mac OS, and Linux systems and recommends code editors and IDEs like PyCharm, Atom, and Spyder. The document concludes with Python naming conventions and how to execute Python code using IDLE or via the command line.
Python is a widely used programming language that offers several unique features and advantages compared to languages like Java and C++. Our Python tutorial thoroughly explains Python basics and advanced concepts, starting with installation, conditional statements, loops, built-in data structures, Object-Oriented Programming, Generators, Exception Handling, Python RegEx, and many other concepts. This tutorial is designed for beginners and working professionals.
Python is a popular programming language created by Guido van Rossum in 1991. It is used for web development, software development, mathematics, and system scripting. Python code can be written and executed quickly as it runs on an interpreter system. It has a simple, English-like syntax and works across many platforms. The latest major version is Python 3, though Python 2 remains popular.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the late 1980s by Guido van Rossum to address the limitations of other languages at the time. Python code is first compiled to bytecode, which is then executed by the Python Virtual Machine. It is an easy to use, powerful, and portable language employed by many major companies for web development, system administration, science, and more.
(1) Python uses indentation rather than braces to indicate blocks of code for functions and control flow. All statements within a block must be indented the same amount.
(2) Python identifiers can consist of letters, numbers, and underscores but must start with a letter or underscore. Identifiers are case-sensitive.
(3) There are reserved words in Python that cannot be used as identifiers such as def, if, else, and, or, not, etc.
SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL
The document provides an introduction to the Python programming language. It discusses what Python is, why it is popular for data science, examples of major companies that use Python, its community and environment. It also covers installing Python via Anaconda on different operating systems, using Spyder as an integrated development environment, and writing a basic first Python program.
This document provides an introduction to the Python programming language. It discusses what Python is, why it was created, its basic features and uses. Python is an interpreted, object-oriented programming language that is designed to be readable. It can be used for tasks such as web development, scientific computing, and scripting. The document also covers Python basics like variables, data types, operators, and input/output functions. It provides examples of Python code and discusses best practices for writing and running Python programs.
Vision Academy is a well known Computer Training Institute in Hadapsar Pune from 2005.This institute was started by its visionary director Mr Sachin Zurange. Mr Sachin Zurange was completed MSc(Scientific Computing) From Interdisciplinary School Of Scientific Computing, University of Pune. It also clear SET exam in May 2018. We provides BCS, BCA, BBA(Comp.App), MCS, MCA, Dip(Comp), BE(Comp/IT) Coaching Classes in Hadapsar Pune. We mainly impart training in programming languages C,C++, Java, Advanced Java, Php, Phyton, .NET,HTML, Java Script, jQuery, Angular Js. Database Languages such as Oracle, Postgres, Mysql, SQL Server & focus on key subjects like Data Structure, Operating System,Rdbms. We provides career oriented programs in Web Design, WordPress, Digital Marketing courses. More then 10,000 students was trained from Vision Academy. We provide 100% practical oriented training program with 100% job placement.
session5-Getting stated with Python.pdfAyushDutta32
Python is a high-level, general-purpose programming language. The document provides information on getting started with Python including:
- Python was created by Guido van Rossum in 1991 and focuses on code readability.
- It is widely used by organizations for tasks like web development, data analysis, AI, and scientific computing due to features like being interactive, modular, dynamic, and having a large standard library.
- Common Python interpreters include CPython, IronPython, Jupyter, and popular IDEs are Spyder, PyCharm, and Visual Studio Code. The document also discusses Python modes like script and interactive mode and provides examples of creating a basic "Hello World" Python program.
Raish Khanji GTU 8th sem Internship Report.pdfRaishKhanji
This report details the practical experiences gained during an internship at Indo German Tool
Room, Ahmedabad. The internship provided hands-on training in various manufacturing technologies, encompassing both conventional and advanced techniques. Significant emphasis was placed on machining processes, including operation and fundamental
understanding of lathe and milling machines. Furthermore, the internship incorporated
modern welding technology, notably through the application of an Augmented Reality (AR)
simulator, offering a safe and effective environment for skill development. Exposure to
industrial automation was achieved through practical exercises in Programmable Logic Controllers (PLCs) using Siemens TIA software and direct operation of industrial robots
utilizing teach pendants. The principles and practical aspects of Computer Numerical Control
(CNC) technology were also explored. Complementing these manufacturing processes, the
internship included extensive application of SolidWorks software for design and modeling tasks. This comprehensive practical training has provided a foundational understanding of
key aspects of modern manufacturing and design, enhancing the technical proficiency and readiness for future engineering endeavors.
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
The role of the lexical analyzer
Specification of tokens
Finite state machines
From a regular expressions to an NFA
Convert NFA to DFA
Transforming grammars and regular expressions
Transforming automata to grammars
Language for specifying lexical analyzers
ELectronics Boards & Product Testing_Shiju.pdfShiju Jacob
This presentation provides a high level insight about DFT analysis and test coverage calculation, finalizing test strategy, and types of tests at different levels of the product.
Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).
"Feed Water Heaters in Thermal Power Plants: Types, Working, and Efficiency G...Infopitaara
A feed water heater is a device used in power plants to preheat water before it enters the boiler. It plays a critical role in improving the overall efficiency of the power generation process, especially in thermal power plants.
🔧 Function of a Feed Water Heater:
It uses steam extracted from the turbine to preheat the feed water.
This reduces the fuel required to convert water into steam in the boiler.
It supports Regenerative Rankine Cycle, increasing plant efficiency.
🔍 Types of Feed Water Heaters:
Open Feed Water Heater (Direct Contact)
Steam and water come into direct contact.
Mixing occurs, and heat is transferred directly.
Common in low-pressure stages.
Closed Feed Water Heater (Surface Type)
Steam and water are separated by tubes.
Heat is transferred through tube walls.
Common in high-pressure systems.
⚙️ Advantages:
Improves thermal efficiency.
Reduces fuel consumption.
Lowers thermal stress on boiler components.
Minimizes corrosion by removing dissolved gases.
The Fluke 925 is a vane anemometer, a handheld device designed to measure wind speed, air flow (volume), and temperature. It features a separate sensor and display unit, allowing greater flexibility and ease of use in tight or hard-to-reach spaces. The Fluke 925 is particularly suitable for HVAC (heating, ventilation, and air conditioning) maintenance in both residential and commercial buildings, offering a durable and cost-effective solution for routine airflow diagnostics.
its all about Artificial Intelligence(Ai) and Machine Learning and not on advanced level you can study before the exam or can check for some information on Ai for project
In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in the further quality of end products and controlling rejection in manufacturing processes of these end products. Springback phenomenon is the elastic strain recovery after removal of forming loads, causes geometrical inaccuracies in drawn tubes. Further, this leads to difficulty in achieving close dimensional tolerances. In the present work springback of EN 8 D tube material is studied for various cold drawing parameters. The process parameters in this work include die semi-angle, land width and drawing speed. The experimentation is done using Taguchi’s L36 orthogonal array, and then optimization is done in data analysis software Minitab 17. The results of ANOVA shows that 15 degrees die semi-angle,5 mm land width and 6 m/min drawing speed yields least springback. Furthermore, optimization algorithms named Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Genetic Algorithm (GA) are applied which shows that 15 degrees die semi-angle, 10 mm land width and 8 m/min drawing speed results in minimal springback with almost 10.5 % improvement. Finally, the results of experimentation are validated with Finite Element Analysis technique using ANSYS.
This paper proposes a shoulder inverse kinematics (IK) technique. Shoulder complex is comprised of the sternum, clavicle, ribs, scapula, humerus, and four joints.
2. ACKNOWLEDGEMENT
It is our proud privilege and duty to acknowledge the kind of help and guidance
received from several people in preparation of this report. It would not have
been possible to prepare this report in this form without their valuable help,
cooperation and guidance.
First and foremost, we wish to record our sincere gratitude to Prof., Dr. Sashi
Kumar Sharma for his constant support and encouragement in preparation
of this report and for making available library and laboratory facilities needed
to prepare this report.
The seminar on “Python 3” was very helpful to us in giving the necessary
background information and inspiration in choosing this topic for the seminar.
Their contributions and technical support in preparing this report are greatly
acknowledged.
Last but not the least, we wish to thank our parents for financing our studies in
this college as well as for constantly encouraging us to learn engineering. Their
personal sacrifice in providing this opportunity to learn engineering is
gratefully acknowledged.
4. Table Of Contents
CHAPTER 1. Introduction
1.1 Python
1.2 Scripting Language
1.3 Object Oriented Programming
1.4 History of python
1.5 Behind the Scene of Python
CHAPTER 2. Downloading & Installing Python
2.1 Downloading Python
2.2 Installing Python
2.3 Setup path of variable
2.4 Running The Python IDE
2.5 Python code Execution.
CHAPTER 3.Data Types & Operator
3.1 Variables
3.2 String
3.3 Python Operator
3.3.1 Arithmetic Operator
3.3.2 Comparison Operator
3.3.3 Logical Operator
CHAPTER 4. Tuple & List
4.1 Tuple
4.1.1 Accessing Tuple Values
4.1.2 Built in Operation
4.1.3 Built in Functions
4.2 List
4.2.1 Accessing List Values
4.2.2 Built in Operation
4.2.3 Built in Functions
5. CHAPTER 5.Loops & Conditional Statements
5.1 Loops
5.1.1Loops Definition
5.1.2 Loops Example
5.2 Conditional Statement
5.2.1 ConditionalStatement Definition
5.2.2 ConditionalStatement Example
5.3 Function
5.3.1 Syntex& Examples
CHAPTER 6.Uses & Scope
6.1 Scope of Python
6.2 What can wedo With Python?
6.3 Who Uses Python Today?
6.4 Why do People Use Python
CHAPTER 7. Conclusion
6. Chapter-: 1
Python
Python is a widely used high-level, general-purpose, interpreted, dynamic
programming language. Its design philosophy emphasizes codereadability, and
its syntaxallows programmers to express concepts in fewer lines of code than
would be possiblein languages such as C++ or Java. The language provides
constructs intended to enable clear programs on both a small and large scale.
Python supports multiple programming paradigms, including object-oriented,
imperative and functional programming or proceduralstyles. Itfeatures a
dynamic type systemand automatic memory management and has a large and
comprehensivestandard library. Python interpreters areavailable for
installation on many operating systems, allowing Python codeexecution on a
wide variety of systems.
Scripting Language
A scripting or scriptlanguage is a programming languagethat supports scripts,
programs written for a special run-time environment that automate the
execution of tasks that could alternatively be executed one-by-oneby a human
operator.
Scripting languages are often interpreted (rather than compiled). Primitives
are usually the elementary tasks or API calls, and the language allows them to
be combined into morecomplex programs. Environments thatcan be
automated through scripting include softwareapplications, web pages within a
web browser, theshells of operating systems (OS), embedded systems, as well
as numerous games.
A scripting language can be viewed as a domain-specific language for a
particular environment; in the case of scripting an application, this is also
known as an extensionlanguage. Scripting languages arealso sometimes
referred to as very high-level programming languages, as they operate at a
high level of abstraction, or as control languages.
7. Object Oriented Programming Language
Object-oriented programming (OOP) is a programming paradigm based on the
concept of "objects", which may contain data, in the formof fields, often
known as attributes; and code, in the form of procedures, often known as
methods. A distinguishing feature of objects is that an object's procedures can
access and often modify the data fields of the object with which they are
associated (objects have a notion of "this" or "self").
In OO programming, computer programs aredesigned by making them out of
objects that interact with one another. There is significantdiversity in
objectoriented programming, butmost popular languages are class-based,
meaning that objects are instances of classes, which typically also determines
their type.
History
Python was conceived in the late 1980s, and its implementation was started in
December 1989 by Guido van Rossumat CWI in the Netherlands as a successor
to the ABC language (itself inspired by SETL) capable of exception handling and
interfacing with the Amoeba operating system. Van Rossumis Python's
principal author, and his continuing central role in deciding the direction of
Python is reflected in the title given to him by the Python community,
benevolent dictator for life (BDFL).
“Python is an experiment in how much freedomprogrammers need.
Too much freedomand nobody can read another's code; too little
and expressiveness is endangered.” - Guido van Rossum.
Behind The Scene of Python
About the origin of Python, Van Rossumwrotein 1996:
Over six years ago, in December 1989, I was looking for a "hobby"
programming projectthat would keep me occupied during the week around
Christmas. My office ... would be closed, but I had a home Computer, and not
much else on my hands. I decided to write an interpreter for the new scripting
language I had been thinking about lately: a descendantof ABC that would
appeal to Unix/C hackers. I chosePython as a working title for the project,
being in a slightly irreverent mood (and a big fan of Monty Python'sFlying
Circus).
8. Chapter-: 2
Downloading Python
If you don’t already have a copy of Python installed on your computer, you will
need to open up your Internetbrowser and go to the Python download page
(http://www.python.org/download/).
Now that you are on the download page, select which of the softwarebuilds
you would like to download. For the purposes of this article we will usethe
most up to date version available (Python 3.4.1).
Once you have clicked on that, you will be taken to a page with a description of
all the new updates and features of 3.4.1, however, you can always read that
while the download is in process. Scrollto the bottom of the page till you find
the “Download” section and click on the link that says “download page.”
Now you will scroll all the way to the bottom of the page and find the “Windows
x86 MSI installer.” If you want to download the 86-64 bitMSI, feel free to do so.
We believe that even if you have a 64-bitoperating systeminstalled on your
computer, the 86-bitMSI is preferable. We say this becauseit will still run well
and sometimes, with the 64-bitarchitectures, someof the compiled binaries and
Python libraries don’twork well.
Installing Python
Once you have downloaded the Python MSI, simply navigate to the download
location on your computer, double clicking the file and pressing Run when the
dialog box pops up. If you are the only person who uses your computer, simply
leave the “Installfor all users” option selected. If you have multiple accounts on
your PC and don’t want to install it across all accounts, select the “Installjustfor
me” option then press “Next.”if you wantto changethe install location, feel free
to do so; however, it is best to leave it as is and simply select next, Otherwise...
Scroll down in the window and find the “Add Python.exeto Path” and click on the
small red “x.” Choose the “Will be installed on local hard drive” option then press
“Next.”
Now that you have completed the installation process, click on “Finish.
9. Setup the Path Variable
Begin by opening the startmenu and typing in “environment” and select the
option called “Edit the systemenvironmentvariables.”
When the “SystemProperties” window appears, click on “Environment
Variables…”.
Once you have the “EnvironmentVariables” window open, direct your focus to
the bottom half. You will notice that it controls all the “SystemVariables” rather
than justthis associated with your user. Click on “New…” to create a new variable
for Python.
Simply enter a name for your Path and the code shown below. For the purposes
of this example wehave installed Python 2.7.3, so wewill call the path:
“Pythonpath.” The string that you will need to enter is:
“C:Python27;C:Python27Scripts;”
Running The Python IDE
Now that we have successfully completed the installation process and added our
“EnvironmentVariable,” you are ready to create your firstbasic Python script.
Let’s begin by opening Python’s GUI by pressing “Start” and typing “Python” and
selecting the “IDLE(Python GUI).”
Once the GUI is open, we will begin by using the simplest directive possible. This is
the “print” directive which simply prints whatever you tell it to, into a new line.
Start by typing a print directive like the one shown in the image below or copy
and paste this text then press “Enter”: print (“Congratulations on executing your
firstprint directive!”).
Python Code Execution
Python’s traditionalruntime execution model: sourcecode you type is
translated to byte code, which is then run by the Python Virtual Machine. Your
code is automatically compiled, but then it is interpreted.
Sourcecode extension is .py
Byte code extension is .pyc (compiled python code)
10. Chapter-: 3
Data Type
Data types determine whether an object can do something, or whether it just
would not make sense. Other programming languages often determine
whether an operation makes sensefor an object by making surethe object can
never be stored somewherewherethe operation will be performed on the
object (this type systemis called static typing). Python does not do that.
Instead it stores the type of an object with the object, and checks when the
operation is performed whether that operation makes sensefor that object
(this is called dynamic typing).
Python has many native data types. Here are the important ones:
Booleans are either True or False.
Numbers can be integers (1 and 2), floats (1.1 and 1.2), fractions (1/2 and
2/3), or even complex numbers.
Strings are sequences of Unicode characters, e.g. an HTML document.
Bytes and byte arrays, e.g. a JPEG image file.
Lists are ordered sequences of values.
Tuples are ordered, immutable sequences of values.
Sets are unordered bags of values.
Variable
Variables are nothing but reserved memory locations to store values. This means
that when
you create a variable you reserve some spacein memory.
Based on the data type of a variable, the interpreter allocates memory and decides
what can
be stored in the reserved memory. Therefore, by assigning different data types to
variables,
you can store integers, decimals or characters in these variables.
Ex:
counter = 100 # An integer assignment
miles = 1000.0 #A floating point
name = "John" # A string
11. String
In programming terms, weusually call text a string. When you think of a string as
a collection of letters, the term makes sense.
All the letters, numbers, and symbols in this book could be a string.
For that matter, your name could be a string, and so could your
address.
Creating Strings
In Python, wecreate a string by putting quotes around text. For example, we
could take our
otherwiseuseless
• "hello"+"world" "helloworld" #concatenation
• "hello"*3 "hellohellohello" # repetition
• "hello"[0] "h" # indexing
• "hello"[-1] "o" #(fromend)
• "hello"[1:4] "ell" # slicing
• len("hello") 5 # size
• "hello" < "jello" 1 # comparison
• "e" in "hello" 1 # search
Python Operator
->Arithmetic Operator
Operator Meaning Example
+ Add two operands or unary plus
x + y
+2
- Subtractright operand from the left or unary minus
x - y
-2
* Multiply two operands x* y
/
Divide left operand by the right one (always results into
float)
x / y
%
12. Modulus - remainder of the division of left operand by the
right
x % y (remainder
of x/y)
//
Floor division - division that results into whole number
adjusted to the left in the number line
x // y
** Exponent - left operand raised to the power of right
x**y (x to the
power y)
Comparison Operator
> Greater that - True if left operand is greater than the right x > y
< Less that - True if left operand is less than the right x < y
== Equal to - True if both operands are equal
x ==y
!= Not equal to - True if operands arenot equal
x !=
y>=
Greater than or equal to - True if left operand is greater than or equal
to the right
x >=
y<=
Less than or equal to - True if left operand is less than or equal to the
right
x <=y
Logical Operator
Operator Meaning Example
and True if both the operands are true x and y
or True if either of the operands is true x or y
not
True if operand is false (complements the
operand)
not x
13. Chapter-: 4
Tuples
A tuple is a sequenceof immutable Python objects. Tuples are sequences, just
like lists. The differences between tuples and lists are, the tuples cannot be
changed unlike lists and tuples use parentheses, whereas lists usesquare
brackets.
Creating a tuple is as simple as putting different comma-separated values.
Optionally you can put these comma-separated values between parentheses
also. For example −
tup1 = ('physics', 'chemistry', 1997, 2000);
tup2 = (1, 2, 3, 4, 5 );
tup3 = "a", "b", "c", "d";
Accessing Values in Tuples:
To access values in tuple, use the squarebrackets for slicing along with the
index or indices to obtain value available at that index. For example −
tup1 = ('physics', 'chemistry', 1997, 2000);
tup2 = (1, 2, 3, 4, 5, 6, 7 );
print "tup1[0]: ", tup1[0]
print "tup2[1:5]: ", tup2[1:5]
When the above code is executed, it produces the following result−
tup1[0]: physics
tup2[1:5]: [2, 3, 4, 5]
Basic Tuples Operations
Tuples respond to the + and * operators much like strings; they mean
concatenation and repetition here too, except that the resultis a new tuple,
not a string. In fact, tuples respond to all of the general sequence operations
we used on strings in the prior chapter –
Python ExpressionResults Description
len((1, 2, 3)) 3 Length
(1, 2, 3) + (4, 5, 6) (1, 2, 3, 4, 5, 6) Concatenation
('Hi!',) * 4 ('Hi!', 'Hi!', 'Hi!', 'Hi!') Repetition
3 in (1, 2, 3) True Membership
for x in (1, 2, 3): print x, 1 2 3 Iteration
14. Built-in Tuple Functions
Python includes the following tuple functions −
SN Function with Description
1 cmp(tuple1,tuple2) Compares elements of both tuples.
2 len(tuple) Gives the total length of the tuple.
3 max(tuple) Returns item fromthe tuple with max value.
4 min(tuple)Returns item from the tuple with min value.
5 tuple(seq) Converts a list into tuple.
List
The list is a mostversatile datatype available in Python which can be written as
a list of comma-separated values (items) between squarebrackets. Important
thing about a list is that items in a list need not be of the same type.
Creating a list is as simple as putting different comma-separated values
between squarebrackets. For example −
list1 = ['physics', 'chemistry', 1997, 2000];
list2 = [1, 2, 3, 4, 5 ];
list3 = ["a", "b", "c", "d"];
Similar to string indices, list indices start at 0, and lists can be sliced,
concatenated and so on.
Accessing Values in Lists:
To access values in lists, use the squarebrackets for slicing along with the index
or indices to obtain value available at that index. For example −
list1 = ['physics', 'chemistry', 1997, 2000];
list2 = [1, 2, 3, 4, 5, 6, 7 ];
print "list1[0]: ", list1[0]
print "list2[1:5]: ", list2[1:5]
Output:list1[0]: physics
list2[1:5]: [2, 3, 4, 5]
Update: list = ['physics', 'chemistry', 1997, 2000];
print "Value available at index 2 : "
print list[2]
list[2] = 2001;
print "New value available at index 2 : "
print list[2]
15. Output:Valueavailableat index 2 : 1997
New value available at index 2 : 2001
Delete: list1 = ['physics', 'chemistry', 1997, 2000];
print list1
del list1[2];
print "After deleting value at index 2 : "
print list1
['physics', 'chemistry', 1997, 2000]
Output:After deleting value at index 2 :
['physics', 'chemistry', 2000]
Basic List Operation
Python ExpressionResults Description
len([1, 2, 3]) 3 Length
[1, 2, 3] + [4, 5, 6] [1, 2, 3, 4, 5, 6] Concatenation
['Hi!'] * 4 ['Hi!', 'Hi!', 'Hi!', 'Hi!'] Repetition
3 in [1, 2, 3] True Membership
for x in [1, 2, 3]: print x, 1 2 3 Iteration
Built-in List Functions& Methods:
SN Function with Description
1 cmp(list1,list2) Compares elements of both lists.
2 len(list) Gives the total length of the list.
3 max(list) Returns item fromthe list with max value.
4 min(list) Returns item fromthe list with min value.
5 list(seq)Converts a tuple into list.
Python includes following list methods
SN Methodswith Description
1 list.append(obj) Appends object obj to list
2 list.count(obj) Returns count of how many times obj occurs in list
3 list.extend(seq) Appends the contents of seq to list
4 list.index(obj) Returns the lowest index in list that obj appears
5 list.insert(index,obj) Inserts objectobj into list at offset index
6 list.pop(obj=list[-1])Removes and returns last objector obj from list
7 list.remove(obj) Removes object obj fromlist
8 list.reverse() Reverses objects of list in place
9 list.sort([func]) Sorts objects of list, use comparefunc if given
16. Chapter-: 5
Loops
Programming languages providevarious controlstructures thatallow for more
complicated execution paths.
A loop statement allows us to execute a statement or group of statements
multiple times. The following diagramillustrates a loop statement:-
17. Python programming languageprovides following types of loops to handle
looping requirements.
Example:
For Loop:
>>> for mynum in [1, 2, 3, 4, 5]:
print "Hello", mynum
Hello 1
Hello 2
Hello 3
Hello 4
Hello 5
While Loop:
>>> count = 0
>>> while (count < 4):
print 'The count is:', count
count = count + 1
The count is: 0
18. The count is: 1
The count is: 2
The count is: 3
ConditionalStatements:
Decision making is anticipation of conditions occurring whileexecution of the
programand specifying actions taken according to the conditions.
Decision structures evaluate multiple expressions which produceTRUE or
FALSEas outcome. You need to determine which action to take and which
statements to execute if outcome is TRUE or FALSEotherwise.
19. Python programming languageprovides following types of decision making
statements. Click the following links to check their detail.
Example:
If Statement:
>>> state = “Texas”
>>> if state == “Texas”:
print “TX
TX
If...Else Statement:
>>> if state == “Texas”
print “TX”
else:
print “[inferior state]”
If...Else...If Statement:
>>> if name == “Paige”
print “Hi Paige!”
elif name == “Walker”:
print “Hi Walker!”
20. else:
print “Imposter!”
Function
Function blocks begin with the keyword deffollowed by the function name
and parentheses ( ( ) ).
Any input parameters or arguments should be placed within these
parentheses. You can also define parameters inside these parentheses.
The first statement of a function can be an optional statement - the
documentation string of the function.
The code block within every function starts with a colon (:) and is indented.
The statement return [expression] exits a function, optionally passing back an
expression to the caller. A return statement with no arguments is the same as
return None.
Syntax:
def functionname( parameters ):
"function_docstring"
function_suite
return [expression]
Example:
1. def printme( str ):
"This prints a passed string into this function"
print str
return
2. # Functiondefinitionis here
def printme( str ):
"This prints a passed string into this function"
print str
return;
# Now you can call printmefunction
printme("I'mfirstcall to user defined function!")
printme("Again second call to the samefunction")
21. Chapter-: 6
Scope of Python
Science
- Bioinformatics
SystemAdministration
-Unix
-Web logic
-Web sphere
Web Application Development
-CGI
Testing scripts
What Can We do With Python?
Systemprogramming
GraphicalUser InterfaceProgramming
InternetScripting
Component Integration
DatabaseProgramming
Gaming, Images, XML , Robot and more
Who Uses Python Today?
Python is being applied in real revenue-generating products by real
companies.
Googlemakes extensive useof Python in its web search system, and
employs Python’s creator.
Intel, Cisco, Hewlett-Packard, Seagate, Qualcomm, and IBMusePython
for hardwaretesting.
ESRI uses Python as an end-user customization tool for its popular GIS
mapping products.
The YouTube video sharing serviceis largely written in Python.
22. Why Do People Use Python?
The following primary factors cited by Python users
seem to be these:
Python is object-oriented
o Structure supports such concepts as polymorphism, operation
overloading, and multiple inheritance.
Indentation
o Indentation is one of the greatest futurein Python.
It's free(open source)
o Downloading and installing Python is free and easy
o Source code is easily accessible
It's powerful
o Dynamic typing
o Built-in types and tools
o Library utilities
o Third party utilities (e.g. Numeric, NumPy, SciPy)
o Automatic memory management
It's portable
o Python runs virtually every major platformused today
o As long as you havea compatible Python interpreter installed,
Python programs willrun in exactly the same manner, irrespective
of platform.
23. Chapter-: 7
CONCLUSION
I believe the trial has shown conclusively that it is both possible and
desirable to use Python as the principal teaching language:
o It is Free (as in both costand sourcecode).
o It is trivial to install on a Windows PCallowing students to take
their interest further. For many the hurdleof installing a Pascalor
C compiler on a Windows machine is either too expensive or too
complicated;
o It is a flexible tool that allows both the teaching of traditional
proceduralprogramming and modern OOP; Itcan be used to
teach a large number of transferableskills;
o It is a real-world programming languagethat can be and is used in
academia and the commercial world;
o It appears to be quicker to learn and, in combination with its many
libraries, this offers the possibility of more rapid student
development allowing the courseto be made more challenging
and varied;
o and most importantly, its clean syntaxoffers increased
understanding and enjoyment for students;