This document provides an overview of a Python programming crash course workshop. It discusses what Python is, its history and goals, available versions, why it is popular, and key features like its standard library, modules, and popular third-party libraries like NumPy, Pandas, and scikit-learn that extend its functionality for scientific computing, data analysis, and machine learning. The workshop also covers Python basics and more advanced topics.
Webinar topic: Introduction to Python
Presenter: Achmad Mardiansyah
In this webinar series, We are discussing Introduction to Python
Please share your feedback or webinar ideas here: http://bit.ly/glcfeedback
Check our schedule for future events: https://www.glcnetworks.com/schedule/
Follow our social media for updates: Facebook, Instagram, YouTube Channel, and telegram
The recording is available on Youtube
https://youtu.be/e9yCcsqpN90
Go, Golang, Golnguage, what is go language, what is go, History of go, Founders of Go, Why Go is invented ?, Why Go?, Who are using go today?, What will you see in Go?, What will you not see in Go?, Structure of Go Programs, Features of Go, Drawbacks of Go
A talk describing our experiences building monorepo at Pinterest.
This talk was presented at Mobile Summit'18 held at CapitalOne in SF on May 22, 2018.
go programming language basics
This presentation is a copy of one of the presentation in the slideshare
i just walk through the basic side of go programming language
its about a 45 mins presentation
more details about this language you get from golang.org refer this link
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.
Join Itedge Institute
Contact :-9821295364
Website:- http://www.itedge.in/python-certification.aspx
Python is a versatile programming language used almost in all application development. OO Features coupled with excellent library support makes Python a preferred language for Web Development, IoT Application Development, Data Science and Machine Learning. In this module, we will focus on getting hands-on development and debugging experience of Python, starting with basics. Further will get a deeper understanding of advanced aspects like OO programming, File handling, Package creation, Exception handling. Eventually, you will be able to develop a multitasking application in IoT Gateways.
Webinar topic: Introduction to Python
Presenter: Achmad Mardiansyah
In this webinar series, We are discussing Introduction to Python
Please share your feedback or webinar ideas here: http://bit.ly/glcfeedback
Check our schedule for future events: https://www.glcnetworks.com/schedule/
Follow our social media for updates: Facebook, Instagram, YouTube Channel, and telegram
The recording is available on Youtube
https://youtu.be/e9yCcsqpN90
Go, Golang, Golnguage, what is go language, what is go, History of go, Founders of Go, Why Go is invented ?, Why Go?, Who are using go today?, What will you see in Go?, What will you not see in Go?, Structure of Go Programs, Features of Go, Drawbacks of Go
A talk describing our experiences building monorepo at Pinterest.
This talk was presented at Mobile Summit'18 held at CapitalOne in SF on May 22, 2018.
go programming language basics
This presentation is a copy of one of the presentation in the slideshare
i just walk through the basic side of go programming language
its about a 45 mins presentation
more details about this language you get from golang.org refer this link
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.
Join Itedge Institute
Contact :-9821295364
Website:- http://www.itedge.in/python-certification.aspx
Python is a versatile programming language used almost in all application development. OO Features coupled with excellent library support makes Python a preferred language for Web Development, IoT Application Development, Data Science and Machine Learning. In this module, we will focus on getting hands-on development and debugging experience of Python, starting with basics. Further will get a deeper understanding of advanced aspects like OO programming, File handling, Package creation, Exception handling. Eventually, you will be able to develop a multitasking application in IoT Gateways.
python training | python course | python online trainingNancy Thomas
website : http://www.todaycourses.com
Python Online Training Concepts :
Part I - Getting Started
History
A Python Q&A Session
How Python Runs Programs
How You Run Programs
Part II - Types and Operations
Introducing Python Object Types
Numeric Types
The Dynamic Typing Interlude
Strings
Lists and Dictionaries
Tuples, Files and Everything Else
Part III - Statements and Syntax
Introducing Python Statements
Assignments, Expressions, and Prints
if Tests and Syntax Rules
while and for Loops
Iterations and Comprehensions – I
The Documentation Interlude
Part IV - Functions
Function Basics
Scopes
Arguments
Advance Function Topics
Iterations and Comprehensions – II
Part V - Modules
Modules : The Big Picture
Module Coding Basics
Module Package
Advance Module Topics
Part VI - Classes and OOP
OOP : The Big Picture
Class Coding Basics
A More Realistic Example
Class Coding Details
Operator Overloading
Designing with Classes
Advanced Class Topics
Part VII - Exceptions and Tools
Exception Basics
Exception Coding Detail
Exception Objects
Designing With Exceptions
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Kubernetes is open-source container-centric platform for automating deployment, scaling, and operations of application containers across clusters of hosts.
Atomic Developer Bundle packages some of the most widely used container orchestration tools into a single Vagrant box to provide developers with a configuration as close to production as possible!
What are Monorepos, who uses it, why and a usage example with Lerna
Created for the 3rd React Hannover Meetup on the 5th September 2018
Even more useful links:
- https://github.com/korfuri/awesome-monorepo
- https://medium.com/@Jakeherringbone/you-too-can-love-the-monorepo-d95d1d6fcebe
In this powerpoint presentation you can learn about history of python programming, Features, Strengths, Applications and careers related to the python programming and also describe what global leaders use python programming
Advanced level Python Course with 100% Job Assistance Guarantee Provided. We Have 3 Sessions Per Week And 90 Hours Certified Basic Python Classes In Thane Training Offered By Asterix Solution
Visit: http://www.asterixsolution.com/python-training-in-mumbai.html
Duration - 90 hrs
Sessions - 3 per week
Project - 3
Student - 12 per Batch
python training | python course | python online trainingNancy Thomas
website : http://www.todaycourses.com
Python Online Training Concepts :
Part I - Getting Started
History
A Python Q&A Session
How Python Runs Programs
How You Run Programs
Part II - Types and Operations
Introducing Python Object Types
Numeric Types
The Dynamic Typing Interlude
Strings
Lists and Dictionaries
Tuples, Files and Everything Else
Part III - Statements and Syntax
Introducing Python Statements
Assignments, Expressions, and Prints
if Tests and Syntax Rules
while and for Loops
Iterations and Comprehensions – I
The Documentation Interlude
Part IV - Functions
Function Basics
Scopes
Arguments
Advance Function Topics
Iterations and Comprehensions – II
Part V - Modules
Modules : The Big Picture
Module Coding Basics
Module Package
Advance Module Topics
Part VI - Classes and OOP
OOP : The Big Picture
Class Coding Basics
A More Realistic Example
Class Coding Details
Operator Overloading
Designing with Classes
Advanced Class Topics
Part VII - Exceptions and Tools
Exception Basics
Exception Coding Detail
Exception Objects
Designing With Exceptions
python training, python training videos, pydev eclipse tutorial, python class, how to install pydev, how to capture a python, object-oriented programming , capture a python, python training videos, python training for beginners, python training in bangalore marathahalli, python training in bangalore btm, python training in noida, python training in pune, python training in chennai, python training in hyderabad, python training institutes in bangalore, python training in bangalore
Kubernetes is open-source container-centric platform for automating deployment, scaling, and operations of application containers across clusters of hosts.
Atomic Developer Bundle packages some of the most widely used container orchestration tools into a single Vagrant box to provide developers with a configuration as close to production as possible!
What are Monorepos, who uses it, why and a usage example with Lerna
Created for the 3rd React Hannover Meetup on the 5th September 2018
Even more useful links:
- https://github.com/korfuri/awesome-monorepo
- https://medium.com/@Jakeherringbone/you-too-can-love-the-monorepo-d95d1d6fcebe
In this powerpoint presentation you can learn about history of python programming, Features, Strengths, Applications and careers related to the python programming and also describe what global leaders use python programming
Advanced level Python Course with 100% Job Assistance Guarantee Provided. We Have 3 Sessions Per Week And 90 Hours Certified Basic Python Classes In Thane Training Offered By Asterix Solution
Visit: http://www.asterixsolution.com/python-training-in-mumbai.html
Duration - 90 hrs
Sessions - 3 per week
Project - 3
Student - 12 per Batch
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
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 For All | Software Professionals, QA & DevOps professionalsNilesh Sutar
This training is designed for entry level software professionals, testers and DevOps professionals to spread awareness and generate interest about Python
A Comprehensive Guide of Python Final Year Projects with Source Code.pdfjagan477830
Final-year projects are an integral part of a student's academic journey. It provides an opportunity for students to apply their knowledge and skills to real-world problems. Python, being a versatile programming language, is widely used in final-year projects across various fields. This presentation will explore some popular Python final-year projects with source code.
Python is a high-level, general-purpose programming language that is quite popular. The Python programming language (the most recent version is Python 3) is utilised in web development, machine learning applications, and every other cutting-edge technologies in the software industry. Python is an excellent programming language for beginners as well as experienced programmers with other programming languages such as C++ and Java.
This Python lesson has been carefully developed to help you learn Python Programming Language in the most effective way possible, with subjects ranging from the basics to the advanced (such as web scraping, Django, Deep Learning, and so on) and examples.
The following are some interesting facts concerning the Python programming language:
Python is the most extensively used high-level programming language for a variety of purposes.
Python supports both Object-Oriented and Procedural programming paradigms.
Python applications are often smaller than those written in other programming languages such as Java. Programmers have to type relatively less and indentation requirement of the language, makes them readable all the time.
Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
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Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
3. What is Python?
●
Created in 1990 by Guido van Rossum
●
Rossum was BDFL until 2018
●
Origin name from British comedy group Monty Python
●
An important goal of Python's developers is keeping it fun to use
●
Interpreted high-level programming language
●
General-purpose language
●
Paradigm
– Object-oriented
– Imperative
– Functional
– Procedural
– Reflective
7. Why Python?
●
Designed to be easy to learn and master
●
Readable and Maintainable Code
●
Multiple Programming Paradigms
●
Robust Standard Library
●
Extensive Support Libraries
●
Compatible with Major Platforms and Systems
●
Many Open Source Frameworks and Tools
●
General Purpose Programming Language
●
Adopt Test Driven Development
●
Lots of 3rd Party Tools
●
Active Open-Source Community
24. More Details (Module)
●
logically organize your Python code
●
Grouping related code → easy, high readability
●
Simply, a module is a file consisting of Python code
●
A module can define functions, classes and variables.
●
A module can also include runnable code.
25. The Python Standard Library
●
Python comes standard with a set of modules, known as the “standard
library”
●
Incredibly rich and diverse functionality available from the standard library
●
All common internet protocols, sockets, CGI, OS services, GUI services
(via Tcl/Tk), database, Berkeley style databases, calendar, Python parser,
file globbing/searching, debugger, profiler, threading and synchronisation,
persistency, etc
https://docs.python.org/3/library/
29. Pandas
●
data manipulation and analysis
●
data structures and operations for manipulating
numerical tables and time series
●
The name is derived from the term "panel data"
●
DataFrame is the Core Object
●
Suitable for Data Wrangling
●
Open-Source
31. scikit-learn
●
free software machine learning library for the Python
●
Used in data mining and data analysis
●
Built on NumPy, SciPy, and matplotlib
●
Open-Source
●
classification, regression and clustering algorithms
– support vector machines
– random forests
– gradient boosting
– k-means
– DBSCAN