This document provides an introduction to the Python programming language. It discusses that Python was created by Guido Van Rossum in 1989. It is an interpreted, interactive, object-oriented language with simple syntax making it ideal for beginners. The document outlines Python's history, features, supported platforms, comparisons to other languages, popular uses and applications.
Computer Science - Programming Languages / Translators
This presentation explains the different types of translators and languages of programming such as assembler, compiler, interpreter, bytecode
Python is a basic term for the programming language which anyone can generally work. in this blog, you briefly learn about benefits & Advantages and disadvantages of python
Computer Science - Programming Languages / Translators
This presentation explains the different types of translators and languages of programming such as assembler, compiler, interpreter, bytecode
Python is a basic term for the programming language which anyone can generally work. in this blog, you briefly learn about benefits & Advantages and disadvantages of python
What is Python…?
Differences between program and scripting language
History of Python
Scope of Python
What can I do with python
Who uses python today
Why do people use Python?
Installing Python IDE
A Sample Code
Python code execution
Running Python
Python Basic(Variable, Strings, Data types etc.)
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.
Activities During Software Project Management, Process For Successful Projects, categories of functional units, Counting function points, Computing function points
What is Python…?
Differences between program and scripting language
History of Python
Scope of Python
What can I do with python
Who uses python today
Why do people use Python?
Installing Python IDE
A Sample Code
Python code execution
Running Python
Python Basic(Variable, Strings, Data types etc.)
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.
Activities During Software Project Management, Process For Successful Projects, categories of functional units, Counting function points, Computing function points
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 -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
Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected..
In this PPT I have described all about python like :- What is Python, History, Versions, Features, Advantages, Disadvantages, Career opportunities, Training and certifications.
This presentation is a part of the COP2271C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce Freshmen students to both the process of software development and to the Python language.
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
A video of Dr. Anderson using these slides is available on YouTube at: https://www.youtube.com/watch?feature=player_embedded&v=_LxfIQuFALY
Certainly! Here's a detailed 3000-word description of Python:
# Python: A Comprehensive Overview
Python is a high-level, versatile, and dynamically-typed programming language known for its simplicity and readability. Created by Guido van Rossum in the late 1980s, Python has since become one of the most popular programming languages worldwide. In this comprehensive overview, we will delve into the key aspects of Python, from its history and design philosophy to its syntax, libraries, and real-world applications.
## **History and Evolution of Python**
Python's history dates back to December 1989 when Guido van Rossum, a Dutch programmer, began working on it as a side project during his Christmas holidays. His aim was to create a language that emphasized code readability and allowed developers to express their ideas in fewer lines of code compared to other languages like C++ or Perl.
The first official Python release, Python 0.9.0, was released in February 1991. Python's name was inspired by Guido's love for the British comedy group Monty Python. Despite its humorous origins, Python quickly gained popularity in the software development community.
Python's major versions include Python 1.0 (1994), Python 2.0 (2000), Python 3.0 (2008), and the subsequent 3.x releases. The transition from Python 2 to Python 3 was a significant milestone in Python's history, as it involved breaking compatibility with Python 2 to introduce improvements and address some language inconsistencies. Python 2 reached its end of life on January 1, 2020, and Python 3 is now the standard and recommended version for new projects.
## **Design Philosophy: The Zen of Python**
Python's success can be attributed, in part, to its clear and guiding design principles, often referred to as "The Zen of Python" or "PEP 20" (Python Enhancement Proposal 20). These principles encapsulate the language's philosophy and provide a framework for writing clean, readable, and maintainable code. Some notable principles from "The Zen of Python" include:
- **Readability Counts:** Code should be easy to read and understand. Python's syntax enforces this with its use of indentation for block structure.
- **Simple is Better Than Complex:** Python encourages simplicity in both code design and implementation. It favors straightforward solutions over convoluted ones.
- **Explicit is Better Than Implicit:** Code should be explicit and not rely on hidden or magical behavior. This principle promotes code clarity and predictability.
- **There Should Be One-- and Preferably Only One --Obvious Way to Do It:** Python aims to provide a single, clear way to perform a specific task to reduce confusion and make code more consistent.
- **Errors Should Never Pass Silently:** Python encourages robust error handling and reporting to help developers identify and fix issues promptly.
## **Python Syntax and Language Features**
Python's syntax is known for its simplicity and readability. Here are some key languag
Python was developed by Guido van Rossum in the late eighties and early nineties at the National Research Institute for Mathematics and Computer Science in the Netherlands.
Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, and Unix shell and other scripting languages.
Python is copyrighted. Like Perl, Python source code is now available under the GNU General Public License (GPL).
Python is now maintained by a core development team at the institute, although Guido van Rossum still holds a vital role in directing its progress.
Learn Python from Industry Experts.
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Python is a versatile and widely-used high-level programming language known for its simplicity, readability, and extensive library support. Created by Guido van Rossum and first released in 1991, Python has since gained immense popularity across various domains, including web development, data science, scientific computing, artificial intelligence, and more. In this comprehensive description, we'll delve into Python's history, features, applications, and its vibrant community, highlighting why it continues to be a preferred choice for developers worldwide.
Table of Contents
Introduction to Python
Python's History and Evolution
Python's Key Features
3.1. Readability and Simplicity
3.2. High-level Language
3.3. Interpreted and Dynamic
3.4. Cross-platform Compatibility
3.5. Rich Standard Library
3.6. Community Support
Python's Application Domains
4.1. Web Development
4.2. Data Science and Machine Learning
4.3. Scientific Computing
4.4. Automation and Scripting
4.5. Game Development
4.6. Desktop Applications
Python Development Environments
5.1. IDLE
5.2. PyCharm
5.3. Jupyter Notebook
5.4. Visual Studio Code
Getting Started with Python
6.1. Installing Python
6.2. Your First Python Program
Python Syntax and Basic Concepts
7.1. Variables and Data Types
7.2. Conditional Statements
7.3. Loops
7.4. Functions
7.5. Exception Handling
Working with Python Libraries
8.1. NumPy
8.2. Pandas
8.3. Matplotlib
8.4. Scikit-Learn
Python and Web Development
9.1. Frameworks (Django, Flask)
9.2. Front-end Integration (HTML/CSS)
9.3. Database Interaction (SQL, NoSQL)
Python in Data Science
10.1. Data Analysis with Pandas
10.2. Data Visualization with Matplotlib and Seaborn
10.3. Machine Learning with Scikit-Learn
10.4. Deep Learning with TensorFlow and PyTorch
Scientific Computing with Python
11.1. Scientific Libraries (SciPy, SymPy)
11.2. Plotting and Visualization (Matplotlib)
Automation and Scripting
12.1. Automating Tasks
12.2. Scripting for System Administration
Game Development with Python
13.1. Pygame
13.2. Unity and Unreal Engine Integration
Desktop Applications with Python
14.1. Tkinter
14.2. PyQt
Python's Ecosystem and Package Management
Python Best Practices
16.1. Code Readability (PEP 8)
16.2. Documentation and Comments
16.3. Testing (Unit Testing, pytest)
16.4. Version Control (Git)
Python's Future and Trends
Conclusion
1. Introduction to Python
Python is a general-purpose, high-level programming language that was designed with a focus on code readability and simplicity. It uses an elegant and straightforward syntax that makes it easy for developers to express their ideas effectively, reducing the cost of program maintenance. Python's philosophy emphasizes the importance of code clarity and readability, which is encapsulated in the Zen of Python (PEP 20).
The language has gained immense popularity due to its versatility and a rich ecosystem of libraries and frameworks. Python is renowned for its vibrant community and extensive documentation, making it in p
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. Table of Contents
• Introduction
• History
• Why Named as Python?
• Features
• Supported Platforms
• Comparison with other languages
• Why should you learn Python?
• Big Names in Python’s Users
• Applications
• References
3. Introduction
• Python is an high level, interpreted, interactive and
object-oriented programming language created by Guido
Van Rossum in 1989
• Open source and community driven
• Source code is also available under the GNU General
Public License (GPL)
• Ideally designed for rapid prototyping of complex
applications
• It has simple easy-to-use syntax, making it the perfect
language for someone trying to learn computer
programming for the first time
4. History(1/2)
• Python was developed in the late eighties and early
nineties at the National Research Institute for
Mathematics and Computer Science in the Netherlands
• ABC programming language is said to be the predecessor
of Python language which was capable of Exception
Handling and interfacing with Amoeba Operating
System
• Guido Van Rossum published the first version of Python
code (version 0.9.0) at alt.sources in February 1991. This
release included already exception handling, functions,
and the core data types of list, dict, str and others. It was
also object oriented and had a module system
5. History(2/2)
• Release Dates of Different Versions
Version Release Date
Python 1.0 (first standard release)
Python 1.6 (Last minor version)
January 1994
September 5, 2000
Python 2.0 (Introduced list comprehensions)
Python 2.7 (Last minor version)
October 16, 2000
July 3, 2010
Python 3.0 (Emphasis on removing duplicative
constructs and module)
Python 3.6.3 (Last updated version)
December 3, 2008
October 3, 2017
6. Why Named as Python?
• Named after a British sketch comedy
series ‘Monty Python’s Flying Circus’
and not after python-the snake
7. Features(1/2)
• Simple and Easy To Learn - Python is a beginner-friendly
programming language that’s easy to learn, regardless of your
experience/knowledge with the language. Its simplistic syntax
makes learning fun and easy
• Open Source - It is open source so you can freely download and
use. Python language is freely available(www.python.org)
• Platform Independent - It is platform independent
programming language, its code easily run on any platform such as
Windows, Linux, Unix , Macintosh etc. Thus, Python is a portable
language.
• Object Oriented - Python supports object oriented language.
Concept of classes and objects comes into existence.
8. Features(2/2)
• Integrated - It can be easily integrated with languages such as C,
C++, COM, ActiveX, CORBA, and Java
• Large Standard Library - Comes with a large standard library
that supports many common programming tasks such as connecting
to web servers, searching text with regular expressions, reading and
modifying files
• Interpreted - Python code is interpreted by interpreter line by line
at a time
• GUI Programming - Graphical user interfaces can be developed
using Python. Python has a huge number of GUI frameworks (or
toolkits) available for it
10. Comparison with other languages
Features C C++ Java Python
Object Oriented No Yes Yes Yes
Readability Difficult Difficult Difficult Easy
Language Programming Programming Programming Programming
and scripting
Type Checking Static Static Static Dynamic
Type expression Explicit Explicit Explicit Implicit
Functional No Yes No Yes
Length of Code 5-10 times
greater than
python
5-10 times
greater than
python
3-5 times
greater than
python
Small and
manageable
codes
11. Why should you learn Python?
• As already discussed, Python has simple easy-to-use syntax, making
it the perfect language for someone trying to learn computer
programming for the first time
• According to the TIOBE Index, it is among top 5 programming
languages
• Average salary of Python developer in India is ₹3,36,857 per year and
$116,019 per year in US(Source-indeed.com)
13. Applications(1/2)
• GUI-Based Desktop Applications - There are various GUI toolkits like
wxPython, PyQt or PyGtk available which help developers create highly functional
Graphical User Interface (GUI). The various applications developed using Python
includes:
Image Processing and Graphic Design Applications - Python has been
used to make 2D imaging software such as Inkscape, GIMP, Paint Shop
Pro. Further, 3D animation packages, like Blender, Lightwave and Maya, also use
Python in variable proportions
Scientific and Computational Applications - 3D modeling software, such
as FreeCAD, and finite element method software, such as Abaqus, are coded in
Python
Games - There have been numerous games built using Python including
Battlefield 2, Civilization-IV, Disney’s Toontown Online, Vega Strike, etc
• Operating Systems - Python is often an integral part of Linux distributions. For
instance, Ubuntu’s Ubiquity Installer, and Fedora’s and Red Hat Enterprise Linux’s
Anaconda Installer are written in Python
14. Applications(2/2)
• Language Development - Python’s design and module architecture has
influenced development of numerous languages. syntax of languages like Apple’s
Swift, CoffeeScript, Cobra, and OCaml all share similarity with Python.
• Web Frameworks and Web Applications - Python has been used to create a
variety of web-frameworks including Django, Bottle, Flask etc. Plone, a content
management system; ERP5, an open source ERP which is used in aerospace, apparel
and banking; and Google App engine are a few of the popular web applications based
on Python
• Enterprise and Business Applications - Python is a suitable coding language
for customizing larger applications. Reddit, which was originally written in Common
Lips, was rewritten in Python in 2005. Python also contributed in a large part to
functionality in YouTube
• Prototyping - Besides being quick and easy to learn, Python also has the open
source advantage of being free with the support of a large community. This makes it
the preferred choice for prototype development