Slides for Lecture 1 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
1.) Variables, Statements and Expressions
2.) Functions
3.) Flow Control
Slides for Lecture 3 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
Strings useful string operations.
In this PPT you learn some basic terminology and basic concept of Python which is a pillar of python programming.So learn Python programming by these PPT.
You get a new presentation every Sunday at 10 AM.
Slides for Lecture 3 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
Strings useful string operations.
In this PPT you learn some basic terminology and basic concept of Python which is a pillar of python programming.So learn Python programming by these PPT.
You get a new presentation every Sunday at 10 AM.
Python Fundamentals Class 11
This covers the following concepts
1. Python operators
2. Basic structure of python
3. Dynamic typing
4. Input and Output Functions
After the end of lesson you will be able to learn Python basics-What Python is? Its releases. Where we can use Python? Python Features. Tokens, comments variables etc... In out next PPT you will learn how to input and get output in Python
Introduction to Python programming LanguageMansiSuthar3
This presentation give basic information about the python language,its data types,operators,code blocks,functions,packages,file handling ,classes and also its syntax with examples. It also include some basic information Numpy and various plotting.
First in the series of slides for python programming, covering topics like programming language, python programming constructs, loops and control statements.
Cyberoam UTM appliances enables small offices to shift from plain firewall to comprehensive UTM protection with cost effective, which gives powerful security to protect your network from malware, spam, trojan, DoS, DDoS, Phishing, pharming and intrusions. Large organizations can implement uniform security and gain high visibility into remote and branch offices with centralized management and Layer 8 Identity-based security.
A brief overview of using HDF5 with Python and Andrew Collette's h5py module will be presented, including examples which show how and why Python can be used in the place of HDF5 tools. Extensions to the HDF5 API will be proposed which would further improve the utility of Python/h5py.
Python Fundamentals Class 11
This covers the following concepts
1. Python operators
2. Basic structure of python
3. Dynamic typing
4. Input and Output Functions
After the end of lesson you will be able to learn Python basics-What Python is? Its releases. Where we can use Python? Python Features. Tokens, comments variables etc... In out next PPT you will learn how to input and get output in Python
Introduction to Python programming LanguageMansiSuthar3
This presentation give basic information about the python language,its data types,operators,code blocks,functions,packages,file handling ,classes and also its syntax with examples. It also include some basic information Numpy and various plotting.
First in the series of slides for python programming, covering topics like programming language, python programming constructs, loops and control statements.
Cyberoam UTM appliances enables small offices to shift from plain firewall to comprehensive UTM protection with cost effective, which gives powerful security to protect your network from malware, spam, trojan, DoS, DDoS, Phishing, pharming and intrusions. Large organizations can implement uniform security and gain high visibility into remote and branch offices with centralized management and Layer 8 Identity-based security.
A brief overview of using HDF5 with Python and Andrew Collette's h5py module will be presented, including examples which show how and why Python can be used in the place of HDF5 tools. Extensions to the HDF5 API will be proposed which would further improve the utility of Python/h5py.
From a talk by Andrew Collette to the Boulder Earth and Space Science Informatics Group (BESSIG) on November 20, 2013.
This talk explores how researchers can use the scalable, self-describing HDF5 data format together with the Python programming language to improve the analysis pipeline, easily archive and share large datasets, and improve confidence in scientific results. The discussion will focus on real-world applications of HDF5 in experimental physics at two multimillion-dollar research facilities: the Large Plasma Device at UCLA, and the NASA-funded hypervelocity dust accelerator at CU Boulder. This event coincides with the launch of a new O’Reilly book, Python and HDF5: Unlocking Scientific Data.
As scientific datasets grow from gigabytes to terabytes and beyond, the use of standard formats for data storage and communication becomes critical. HDF5, the most recent version of the Hierarchical Data Format originally developed at the National Center for Supercomputing Applications (NCSA), has rapidly emerged as the mechanism of choice for storing and sharing large datasets. At the same time, many researchers who routinely deal with large numerical datasets have been drawn to the Python by its ease of use and rapid development capabilities.
Over the past several years, Python has emerged as a credible alternative to scientific analysis environments like IDL or MATLAB. In addition to stable core packages for handling numerical arrays, analysis, and plotting, the Python ecosystem provides a huge selection of more specialized software, reducing the amount of work necessary to write scientific code while also increasing the quality of results. Python’s excellent support for standard data formats allows scientists to interact seamlessly with colleagues using other platforms.
Slides for Lecture 5 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
1.)Python Modules
2.)File I/O
3.)Exceptions & Error Handling
An introduction to the Python programming language and its numerical abilities will be presented. With this background, Andrew Collette's H5Py module--an HDF5-Python interface--will be explained highlighting the unique and useful similarities between Python data structures and HDF5.
This tutorial is designed for anyone who needs to work with data stored in HDF5 files. The tutorial will cover functionality and useful features of the HDF5 utilities h5dump, h5diff, h5repack, h5stat, h5copy, h5check and h5repart. We will also introduce a prototype of the new h52jpeg conversion tool and recently released h5perf_serial tool used for performance studies. We will briefly introduce HDFView. Details of the HDFView and HDF-Java will be discussed in a separate tutorial.
Learn about how to use the Python language and its constructs in different situations. With classification of scenarios done already you can use this material as a reference guide too.
Learn the language and its idioms by trying out the sample code or by looking at code snippet.
This presentation was created for Next Craft JMP Student Program to help students jump start with Python programming.
Open source general-purpose. Multiplatform programming language
Object Oriented, Procedural, Functional
Easy to interface with C/ObjC/Java/Fortran
Easy to interface with C++ (via SWIG)
Great interactive environment
Python 'philosophy' emphasis readability, clarity and simplicity
The Interactive Interpreter
it is very easy to learn and understand.
Python Session - 4
if
nested-if
if-else
elif (else if)
for loop (for iterating_var in sequence: )
while loop
break
continnue
pass
What is a function in Python?
Types of Functions
How to Define & Call Function
Scope and Lifetime of variables
lambda functions(anonymous functions)
In this PDF you will find the basics of Turbo Prolog 2.0 with some good program and it's output. Also it's second part is coming in next month or week.
For any query ------------------> sohupatel8828@gmail.com
For programs ----------------> https://github.com/UltraHopeful/Turbo-Prolog-2.0
My Statement of Accomplishment for Introduction to Systematic Program Design - Part 1 by The University of British Columbia and offered through Coursera.
My Verified Certificate for Emerging Trends & Technologies in the Virtual K-12 Classroom by University of California, Irvine and offered through Coursera
Programming Mobile Applications for Android Handheld Systems 2014Syed Farjad Zia Zaidi
My Verified Certificate for Programming Mobile Applications for Android Handheld Systems 2014 offered by University of Maryland, College Park and offered through Coursera
How to connect database file to a 3-Tier Architecture Application and obtain ...Syed Farjad Zia Zaidi
This is a tutorial for connecting the database file to a 3 Layer Architecture Project and obtain the connection string on the run time so that you can deploy your project
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
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May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
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This is a MUG with a twist you don't want to miss.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
2. Class Objectives
Class Objective
Review variables, statements, expressions, functions, algorithms and technical
terms.
Understanding Flow Control.
Write a simple program that performs addition, subtraction, multiplication and
division using Functions.
3. Class Material
•Chapter 1, 2, 3 - Python
for Informatics: Exploring
Information
Reading
Assignment •Rock, Paper, Scissors
4. Variables
Definition:
A named piece of memory that can store a value.
Statement:
A statement written in a programming language stores a value in a variable.
Example:
X = 5
Y = 1
Expression:
A variable that has a value can be used in an expression.
Example:
X = X + 4
Y = X + 1
5. Rules for defining a Variable:
Names must start with a letter or _.
Names must contain only letters, digits, and _.
7. Functions
Definition:
A function is a block of organized, reusable code that is used to perform
some action.
Defining a function:
You can define a function in Python using the Keyword ‘def’.
General Form of Function:
def function_name(parameters):
body
Example:
def MyFirstFunction():
print “This is my first function in Python Programming Language”
8. Defining Functions
You can define functions to provide the required functionality. Here
are simple rules to define a function in Python.
Function blocks begin with the keyword ‘def’ followed by the
function name and parentheses ‘( )’ .
Example:
def MyFirstFunction():
Any input parameters or arguments should be placed within these
parentheses. You can also define parameters inside these
parentheses.
Example:
def MySecondFunction(passedInput):
9. Defining Functions
The first statement of a function can be an optional statement - the
documentation string of the function or docstring.
Example:
def MyFirstFunction():
“””This is the 'docstring' which defines
the function for other programmers to
understand easily”””
The code block within every function starts with a colon (:) and is
indented.
10. Defining Functions
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.
General Form of Return Statement:
return [expression]
Example:
def MyFunction():
“”“A function that returns a message”””
return “This is a function that returns a message”
11. Calling a function
Function calls are expressions and the result can be stored in a
variable. The general form of a function call:
function_name(arguments)
Example:
MyFirstFunction()
MySecondFunction(“Input Parameter”)
13. Source Code vs Object Code
Source Code Object Code
Source Code is a text file version of
a computer program or software that
contains instructions that the
computer follows to do something
Object code, or sometimes an object
module, is what a
computer compiler produces
Source code is written in
a programming language which a
human can read and change
In a general sense object code is a
sequence of statements or instructions
in a computer language, usually
a machine code language (i.e., 1's
and 0's)
Most source code is compiled when it
is finished
Object code is the resulting code
after compiling source code
14. Compiler
A compiler is a computer program (or set of programs) that
transforms source code written in a programming language (the
source language) into another computer language (the target
language, often having a binary form known as object code). The
most common reason for wanting to transform source code is to
create an executable program.
16. Flow Control of the Program
Selection (If/Else)
Repetition (Loops)
17. Conditional Execution
In order to write useful programs, we almost always need to check
some conditions and change the program accordingly. Conditional
Statements gives us this ability. The simplest form is if statement.
General Form:
if [expression1]:
body1
elif [expression2]:
body2
else:
bodyN
18. Python Comparison Operators
Operator Description
== Checks if the value of two operands are equal or not, if yes
then condition becomes true.
!= Checks if the value of two operands are equal or not, if
values are not equal then condition becomes true.
< Checks if the value of left operand is less than the value of right
operand, if yes then condition becomes true.
> Checks if the value of left operand is greater than the value of right
operand, if yes then condition becomes true.
>= Checks if the value of left operand is greater than or equal
to the value of right operand, if yes then condition becomes
true.
<= Checks if the value of left operand is less than or equal to
the value of right operand, if yes then condition becomes
true.
19. Python Logical Operators
Operator Description
and Called Logical AND operator. If both the operands are
true then then condition becomes true.
or Called Logical OR Operator. If any of the two operands
are non zero then then condition becomes true.
not Called Logical NOT Operator. Use to reverses the logical
state of its operand. If a condition is true then Logical NOT
operator will make false.
21. Simple Calculator
Definition:
A calculator is a machine which allows people to do math operations
more easily. For example, most calculators will add, subtract, multiply, and
divide.
Instructions for writing the Program:
There should be 4 functions in your program:
Add(number1, number2)
Subtract(number1, number2)
Multiply(number1, number2)
Divide(number1, number2)
The template for the program can be accessed here:
http://www.codeskulptor.org/#user37_44o34rWsnC_18.py
23. Rock Paper Scissors – 1st Mini-
Project
Rock-paper-scissors is a hand game that is played by two people. The
players count to three in unison and simultaneously "throw” one of
three hand signals that correspond to rock, paper or scissors. The
winner is determined by the rules:
Rock smashes scissors
Scissors cuts paper
Paper covers rock
24. Instruction
In our first mini-project, we will build a Python function rps(name)
that takes as input the string name, which is one of "rock", "paper",
"scissors“. The function then simulates playing a round of rock-paper-scissors
by calling a helper function gen_random_num() that
generate own random choice from these alternatives and then
determining the winner using simple if / else statements.
The mini-project template is here:
http://www.codeskulptor.org/#user37_HJPdXx35jy_0.py
25. Example runs
Player chooses rock
Computer chooses scissors
Player wins!
Player chooses paper
Computer chooses scissors
Computer wins!
Player chooses scissors
Computer chooses paper
Player wins!