Introduction to Python Programming in Civil Engineering
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This document provides an introduction to the Python programming language. It discusses what Python is, its key features like being multi-purpose, object-oriented, and interpreted. It covers Python's releases and popularity. It also summarizes how to write, run, and install Python programs and packages. The document explores topics like Python's readability, popular IDEs/editors, and categories of public packages available.
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![Python public packages (category) [1/2]
❏ Admin Panels ❏ Data Analysis ❏ Files
❏ Algorithms and Design Patterns ❏ Data Validation ❏ Foreign Function Interface
❏ Audio ❏ Data Visualization ❏ Forms
❏ Authentication ❏ Database ❏ Functional Programming
❏ Build Tools ❏ Database Drivers ❏ Game Development
❏ Built-in Classes Enhancement ❏ Date and Time ❏ Geolocation
❏ Caching ❏ Debugging Tools ❏ GUI Development
❏ ChatOps Tools ❏ Deep Learning ❏ Hardware
❏ CMS ❏ DevOps Tools ❏ HTML Manipulation
❏ Code Analysis ❏ Distributed Computing ❏ HTTP Clients
❏ Command-line Interface Development ❏ Distribution ❏ Image Processing
❏ Command-line Tools ❏ Documentation ❏ Implementations
❏ Compatibility ❏ Downloader ❏ Interactive Interpreter
❏ Computer Vision ❏ E-commerce ❏ Internationalization
❏ Concurrency and Parallelism ❏ Editor Plugins and IDEs ❏ Job Scheduler
❏ Configuration ❏ Email ❏ Logging
❏ Cryptography ❏ Environment Management ❏ Machine Learning
Total: 63595 packages](https://image.slidesharecdn.com/intro1-240326084043-0051e62c/85/Introduction-to-Python-Programming-in-Civil-Engineering-19-320.jpg)
![Python public packages (category) [2/2]
❏ Miscellaneous ❏ Serialization
❏ Natural Language Processing ❏ Serverless Frameworks
❏ Network Virtualization ❏ Specific Formats Processing
❏ Networking ❏ Static Site Generator
❏ News Feed ❏ Tagging
❏ ORM ❏ Template Engine
❏ Package Management ❏ Testing
❏ Package Repositories ❏ Text Processing
❏ Permissions ❏ Third-party APIs
❏ Processes ❏ URL Manipulation
❏ Queue ❏ Video
❏ Recommender Systems ❏ Web Asset Management
❏ RESTful API ❏ Web Content Extracting
❏ Robotics ❏ Web Crawling
❏ RPC Servers ❏ Web Frameworks
❏ Science ❏ WebSocket
❏ Search ❏ WSGI Servers
Total: 63595 packages
https://github.com/vinta/awesome-python](https://image.slidesharecdn.com/intro1-240326084043-0051e62c/85/Introduction-to-Python-Programming-in-Civil-Engineering-20-320.jpg)
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Programming in Civil Engineering_UNIT 2_NOTESRushikesh Kolhe This document provides an introduction to data types and variables in Python. It discusses that Python is a dynamically typed language where the type of a variable is determined at runtime. It describes various Python data types including numeric, sequence, mapping, set, boolean, and binary types. It also discusses variable naming conventions and that variables are created by assignment. Finally, it explains the differences between mutable and immutable data types.
Programming in Civil Engineering_UNIT 1_NOTES
Programming in Civil Engineering_UNIT 1_NOTESRushikesh Kolhe The document provides an introduction to Python programming for civil engineering students. It discusses why Python is useful for civil engineering tasks like structural analysis, geotechnical engineering, and more. It also covers Python basics like installation, modules, comments. Key Python applications in civil engineering include structural analysis, water resources modeling, transportation analysis, and automation of civil engineering tasks. The document is intended to give civil engineering students a foundational understanding of Python.
VARIABLES AND DATA TYPES IN PYTHON NEED TO STUDY
VARIABLES AND DATA TYPES IN PYTHON NEED TO STUDYRushikesh Kolhe This document discusses variables and data types in Python. It introduces variables as symbols that represent values that can change. It describes the main data types in Python including strings, numerical data types (integers and floats), and provides examples of how to work with each data type. It covers naming conventions for variables, built-in functions for strings like upper(), lower(), len(), and how to perform operations on numerical data types.
Why Python in required in Civil Engineering
Why Python in required in Civil EngineeringRushikesh Kolhe Python is a general purpose, dynamic, high level and interpreted programming language that is easy to learn yet powerful and versatile, making it attractive for application development. It supports multiple programming paradigms including object oriented, imperative and functional programming. Python is widely used for tasks like web development, machine learning, scientific computing, and more due to its large standard library and being cross-platform, free/open source, and having a simple syntax. People use Python because it is easy to learn and use, expressive, interpreted, cross-platform, free/open source, supports object oriented programming, is extensible, and has a large standard library and GUI programming support.
Smart city Developments in India
Smart city Developments in IndiaRushikesh Kolhe The document discusses smart city development in India, defining indicators and ratings. It outlines India's smart initiatives including phases of development and policies/projects. It examines smart service delivery areas like water, waste, mobility, and municipal services that have been enabled by ICT. Key smart city indicators are presented across economy, governance, people, mobility, environment and living. The conclusion is that smart city development focuses on progress across indicators rather than ratings, and truly smart cities will use parameters and ratings as a benchmarking tool to draw lessons from better performing cities.
Framework for Smart City
Framework for Smart CityRushikesh Kolhe This document outlines a framework for structural health and water infrastructure monitoring in smart cities. Key points include:
1) The framework uses an embedded multi-sensor system with wireless telemetry to monitor bridges and detect structural issues in real-time, reducing costs compared to traditional intermittent inspection.
2) A similar approach can monitor water distribution infrastructure for leaks, quality issues, and unauthorized use or pollution.
3) The model involves edge sensors, data analytics platforms, and APIs to support applications that improve regulatory enforcement, incentivize compliance, and engage citizens in infrastructure monitoring.
E governance.pptx
E governance.pptxRushikesh Kolhe E-governance refers to the use of information and communication technologies by the government to improve access to services and information for citizens. It aims to make government more efficient, transparent, and accountable. The key types of e-governance interactions are G2C (government to citizen), G2B (government to business), G2E (government to employees), and G2G (government to government). E-governance can provide benefits like faster services, increased transparency, reduced corruption, and greater access to information for citizens. However, implementing successful e-governance projects in India faces challenges due to factors like lack of integrated services, different languages, and large population. While many initiatives have been undertaken
Human Resource Information System
Human Resource Information SystemRushikesh Kolhe HRIS is a system used by human resource departments to manage employee data. It allows organizations to more efficiently store and maintain information related to employees such as benefits, payroll, and training records. This document provides an overview of HRIS systems from Prof. R. V. Kolhe of Sanjivani College of Engineering.
Introduction to TQM
Introduction to TQMRushikesh Kolhe This document outlines a course on Total Quality Management for civil engineering. It discusses the introduction and objectives of TQM, which aim to understand quality in construction and apply TQM principles and tools. The course will cover quality definitions, factors influencing quality, and contributors to quality like Deming and Juran. Students will learn about quality systems evolution, ISO standards, quality manuals, and developing a management information system for construction organizations. The document provides the course structure, syllabus, reading materials, and examination scheme.
Human Resource Management: Training and Development (HRM)
Human Resource Management: Training and Development (HRM)Rushikesh Kolhe The document outlines the concepts and practices of training and development within organizations, emphasizing the importance of equipping employees with specific skills and knowledge. It discusses the training process, including needs assessment, training design, delivery, and evaluation, while addressing challenges such as employee resistance to change. Additionally, it highlights the significance of understanding organizational goals, employee readiness, and the context in which training occurs to ensure effective training outcomes.
Work Breakdown Structure (WBS)
Work Breakdown Structure (WBS)Rushikesh Kolhe The document discusses the work breakdown structure (WBS) process for organizing a project into hierarchical levels for management and planning purposes. It defines the WBS as breaking a project down into deliverable elements that can be grouped and subdivided into independent tasks. The summary then outlines the typical levels in a WBS from highest to lowest: 1) sub-project level dividing work into task groups, 2) task level splitting tasks, 3) work package level further dividing tasks, 4) activity level identifying processes, and 5) operations level defining daily processes. It concludes by listing features that characterize each WBS level such as time schedules, estimated costs, and management responsibilities.
Materials Codification and Classification
Materials Codification and ClassificationRushikesh Kolhe Codification is the systematic representation of items using abbreviated codes to identify equipment, materials, tools, and supplies. It provides accurate and logical identification while avoiding long descriptions. Codification systems typically use numbers, letters, colors or symbols to classify items into groups and subgroups. This allows for efficient purchasing, accurate record keeping, and simplifies inventory management. The document discusses different codification methods and standards used in industry.
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Introduction to Python Programming in Civil Engineering
- 1. Introduction to Python Prof. Rushikesh V. Kolhe Phd Pursuing, M.Tech Civil CM Assistant Professor Department of Civil Engineering Sanjivani College of Engineering, Kopargaon
- 2. What is Python? ❏ Multi-purpose (Web, GUI, Scripting, etc.) ❏ Object Oriented ❏ Interpreted ❏ Both strongly typed and dynamically typed ❏ Focus on readability and productivity
- 3. Features ❏ Batteries Included ❏ Everything is an Object ❏ Interactive Shell ❏ Strong Introspection ❏ Cross Platform ❏ CPython, Jython, IronPython, PyPy
- 4. Releases ❏ Created in 1989 by Guido Van Rossum ❏ Python 1.0 released in 1994 ❏ Python 2.0 released in 2000 ❏ Python 3.0 released in 2008 ❏ Python 2.7 is the recommended version ❏ 3.0 adoption will take a few years
- 5. Python popularity among other languages TIOBE, Jan 2019 PyPL, Jan 2019
- 6. Python among other programming languages (benchmark) ❏ https: /en.wikipedia.org/wiki/List_of_programm ing_languages_by_type ❏ https: /attractivechaos.github.io/plb/ ❏ http: /www.bioinformatics.org/benchmark/resu lts.html ❏ https: /github.com/kostya/benchmarks
- 7. ❏ End-users just don’t care: 0.001 vs. 0.01 seconds no matter; horizontal scalability used ❏ More productive: more concise and expressive language and requires less time, effort, and lines of code to perform the same operations ❏ Execution Speed does not matter as much as Business Speed ❏ Rich set of standard libraries and frameworks ❏ Large community (packages, Q/A, discussions) Despite being slow, why is Python still popular?
- 8. How readable is Python?
- 9. How readable is Python?
- 10. How readable is Python?
- 11. How readable is Python?
- 12. How readable is Python?
- 13. When use and not use Python? Use ❏ Execution speed does not matter ❏ Everyone is new to programming ❏ Readability is more important Not use ❏ Speed-intensive applications including games that require high-performance ❏ OS or system-level applications (e.g., memory manipulation)
- 14. How to run a Python program ❏ Using embedded interpreter in IDE/Notebook ❏ Using stand-alone interpreter ❏ Using the interactive shell
- 15. How to write a Python program ❏ IDE: Eclipse + PyDev, Visual Studio, PyCharm, Spyder, Thonny ❏ Code editor: Sublime Text, Atom, GNU Emacs, Vi / Vim / Nano, Visual Studio Code, ... ❏ Notebook: Jupyter, Zeppelin
- 16. How to write a Python program ❏ Use IDE: write a complex program, collaboration in a team, many dependencies/libraries/binaries ❏ Use code editor: write a simple program ❏ Notebook: interactive, reporting-like deliverable
- 17. Most popular Python IDE/Code Editor https://insights.stackoverflow.com/survey/201 9#development-environments-and-tools
- 18. Python package installer (pip) ❏ pip is the recommended tool to install python package from python package public repos (such as public PyPI - and its mirrors) and private repos ❏ pip can install from either Source Distributions (sdist) or wheels, but if both are present on PyPI, pip will prefer a compatible wheel (pre-built).
- 19. Python public packages (category) [1/2] ❏ Admin Panels ❏ Data Analysis ❏ Files ❏ Algorithms and Design Patterns ❏ Data Validation ❏ Foreign Function Interface ❏ Audio ❏ Data Visualization ❏ Forms ❏ Authentication ❏ Database ❏ Functional Programming ❏ Build Tools ❏ Database Drivers ❏ Game Development ❏ Built-in Classes Enhancement ❏ Date and Time ❏ Geolocation ❏ Caching ❏ Debugging Tools ❏ GUI Development ❏ ChatOps Tools ❏ Deep Learning ❏ Hardware ❏ CMS ❏ DevOps Tools ❏ HTML Manipulation ❏ Code Analysis ❏ Distributed Computing ❏ HTTP Clients ❏ Command-line Interface Development ❏ Distribution ❏ Image Processing ❏ Command-line Tools ❏ Documentation ❏ Implementations ❏ Compatibility ❏ Downloader ❏ Interactive Interpreter ❏ Computer Vision ❏ E-commerce ❏ Internationalization ❏ Concurrency and Parallelism ❏ Editor Plugins and IDEs ❏ Job Scheduler ❏ Configuration ❏ Email ❏ Logging ❏ Cryptography ❏ Environment Management ❏ Machine Learning Total: 63595 packages
- 20. Python public packages (category) [2/2] ❏ Miscellaneous ❏ Serialization ❏ Natural Language Processing ❏ Serverless Frameworks ❏ Network Virtualization ❏ Specific Formats Processing ❏ Networking ❏ Static Site Generator ❏ News Feed ❏ Tagging ❏ ORM ❏ Template Engine ❏ Package Management ❏ Testing ❏ Package Repositories ❏ Text Processing ❏ Permissions ❏ Third-party APIs ❏ Processes ❏ URL Manipulation ❏ Queue ❏ Video ❏ Recommender Systems ❏ Web Asset Management ❏ RESTful API ❏ Web Content Extracting ❏ Robotics ❏ Web Crawling ❏ RPC Servers ❏ Web Frameworks ❏ Science ❏ WebSocket ❏ Search ❏ WSGI Servers Total: 63595 packages https://github.com/vinta/awesome-python
- 21. Python public package popularity https://stackoverflow.blog/2017/09/14/python- growing-quickly/
- 22. Python public package popularity
- 23. Python modularity Anaconda (app + libraries + binaries) *Miniconda is the light version of Anaconda (less packages)
- 24. Python modularity: conda vs pip pip installs only Python packages, but conda installs also the system binaries needed by the Python packages. Very important for a non-sudo user to leverage the server capability
- 25. Python modularity in practice
- 26. Basic Python Tutorial ❏ We’re using Anaconda ❏ Clone: https://gitlab.erc.monash.edu.au/andrease/Python4Maths