Constructs and techniques and their implementation in different languagesOliverYoung22
Here you will be learning about the following relating to python:
- File handling
- Logic operators
- Variables, local and global variables, constants
- Command words
- Statements
- Sequences
- Subroutines, procedures, functions
- Arrays(list), 2 dimensional arrays
- File handling, read, write, close and database
- Data structures
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
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).
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
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.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
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.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Studiovity film pre-production and screenwriting softwareinfo611746
Best Video, Film-TV production management & Screenplay software. Take control of your storywriting & film production now. Manage & Collaborate projects with your team. Send call sheet, schedule scenes, attain new productivity peak.
It's World’s #1st Cross-Platform Application For Film Makers & Writers.
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.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
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.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
5. ⿵㊊
䝖䝺䞊䝙䞁䜾䛾ෆᐜ䛿
Alan
Gauld
䛥䜣䛾
Learning
to
proguram
ver
2
䜢ཧ↷䛧䛶సᡂ䚹
䛾䛂ึ䜑䛶䛾Python䛃䜒ཧ↷䛧䛶
Python
ධ㛛
5
䜎䛯䚸O’REILLY
䛔䜎䛩䚹
Learning
to
Program
h7p://www.alan-‐g.me.uk/
43. ᩘᏐ
• ᩚᩘ(int)䛸ᐇᩘ(float)䚸」⣲ᩘ䛜䛒䜛
• ୖ㝈䛿Ẽ䛻䛧䛺䛟䛶䜘䛔
Python
ධ㛛
>>>
1234567
*
3456789
4267637625363
(42)
43
䛘䜛₇⟬Ꮚ
ㄝ᫂
M
+
N
㊊䛧⟬
M
–
N
ᘬ䛝⟬
M
*
N
䛛䛡⟬
M
/
N
䜚⟬
M
%
N
వ(䛒䜎䜚)
M**N
䜉䛝
(M
*
M
*
M
…
䜢Nᅇ)
44. ᩘᏐ
• 䜲䞁䜽䝸䝯䞁䝖䛿䛘䛺䛔
• ௦ධ₇⟬Ꮚ䛷௦⏝
Python
ධ㛛
44
₇⟬Ꮚ
ㄝ᫂
M
+=
N
M
=
M
+
N
M
-‐=
N
M
=
M
–
N
M
*=
N
M
=
M
*
N
M
/=
N
M
=
M
/
N
M
%=
N
M
=
M
%
N
Java
int
i
=
0
i++
Python
i
=
0
i
+=
1
ß
i
=
i+1
46. ᩥᏐิᆺ
• ᩥᏐิ䜒₇⟬グྕ䜢䛘䜛
Python
ධ㛛
46
print
“I
love
“
+
“python”
=>
“I
love
Python”
print
“hello
“
*
3
=>
“hello
hello
hello
“
print
“I
say
“
+
(“hello
“
*
3)
=>
“I
say
hello
hello
hello”
x
=
“I
love
“
y
=
“Python”
print(x+y)
=>
"I
love
Python"
47. Boolᆺ
• 䛔䜟䜖䜛
True,
False
䜢ᣢ䛴ᆺ
• If
ᩥ䛺䛹䛾ไᚚศ䛷䜘䛟⏝䛥䜜䜛
Python
ධ㛛
47
₇⟬Ꮚ
ព
A
and
B
A
䜒
B
䜒
True
䛺䜙
True
A
or
B
A
䛛
B
䛜
True
䛺䜙
True
A
==
B
A
䛸
B
䛜ྠ䛨䛺䜙
True
A
!=
B
A
䛸
B
䛜㐪䛘䜀
True
A
<>
B
ྠୖ
not
A
A
䛜
False
䛺䜙
True
48. Boolᆺ
• 䛔䜟䜖䜛
True,
False
䜢ᣢ䛴ᆺ
• If
ᩥ䛺䛹䛾ไᚚศ䛷䜘䛟⏝䛥䜜䜛
Python
ධ㛛
48
₇⟬Ꮚ
ព
A
>
B
A
䛜
B
䜘䜚䛝䛡䜜䜀
True
A
>=
B
A
䛜
B
௨ୖ䛺䜙
True
A
<
B
A
䛜
B
䜘䜚ᑠ䛥䛡䜜䜀
True
A
<=
B
A
䛜
B
௨ୗ䛺䜙
True
107. 䝍䝥䝹ᆺ
• ྍኚ䛺䝕䞊䝍ᵓ㐀
• せ⣲䛾ᩘ䛜Ỵ䜎䛳䛯䛂୍⤌䛾䝕䞊䝍䛃
Python
ධ㛛
107
#
show
logging
Link
down
OSPF
Neighbor
XXX
down
Admin
up
Link
up
OSPF
Neighbor
XXX
up
....
⾜ᩘ(せ⣲ᩘ)䛿ఙ䜃䜛
=
Listᆺ
♫ဨሗ
Yuichi
Ito
2011-‐04-‐01
Tokyo
TAC
⾜ᩘ(せ⣲ᩘ)䛿ఙ䜃䛺䛔
㡰ྠ
=
Tuple
ᆺ
109. 䝍䝥䝹ᆺ䛾᧯స
#
Tuple
䛾సᡂ
yuiito
=
(Yuichi,
Ito,
2011)
yuiito
('Yuichi',
'Ito',
2011)
#
せ⣲䛾ཧ↷
yuiito[1]
'Ito'
yuiito
=
(Yuichi,
Ito,
2011)
(name,
famName,
year)
=
yuiito
year
2011
#
せ⣲䛾᭦᪂
yuiito[2]
=
2009
Traceback
(most
recent
call
last):
File
stdin,
line
1,
in
module
TypeError:
'tuple'
object
does
not
support
item
assignment
Python
ධ㛛
109
110. 䝍䝥䝹ᆺ䝃䞁䝥䝹
• 䝕䞊䝍ᵓ㐀䜢సᡂྍ⬟(䜽䝷䝇䛾⡆᫆∧)
• ྍኚ䛺䜸䝤䝆䜵䜽䝖
Python
ධ㛛
110
def
getMinMax(numList):
minNum
=
numList[0]
maxNum
=
numList[0]
for
n
in
numList:
if
n
minNum:
minNum
=
n
if
n
maxNum:
maxNum
=
n
return
(minNum,
maxNum)
137. import
• import
䛩䜛䛣䛸䛷䝰䝆䝳䞊䝹䛜䛘䜛
Python
import
mymath
print(mymath.add(2,3))
#
-‐
5
print(mymath.minus(2,3))
#
-‐
-‐1
print(mymath.mulcply(2,3))
#
-‐
6
print(divide(2,3))
#ERROR
HAPPEN
Traceback
(most
recent
call
last):
File
~/main.py,
line
6,
in
module
print(divide(2,3))
NameError:
name
'divide'
is
not
defined
ධ㛛
137
def
add(a,b):
return
a
+
b
def
minus(a,
b):
return
a
-‐
b
def
mulcply(a,
b):
return
a
*
b
def
divide(a,
b):
return
a
/
b
138. from
• from
䝣䜯䜲䝹ྡ(䝟䝑䜿䞊䝆ྡ)
import
*
䛷䝣䜯䜲䝹ྡ
䛾ᣦᐃ䛺䛧䛻䜃ฟ䛧䛜ྍ⬟䛻䛺䜛
Python
ධ㛛
138
def
add(a,b):
return
a
+
b
def
minus(a,
b):
return
a
-‐
b
def
mulcply(a,
b):
return
a
*
b
def
divide(a,
b):
return
a
/
b
from
mymath
import
*
print(add(2,3))
#
-‐
5
print(minus(2,3))
#
-‐
-‐1
print(mulcply(2,3))
#
-‐
6
print(mymath.divide(2,3))
#
ERROR
HAPPEN
Traceback
(most
recent
call
last):
File
~/main.py,
line
6,
in
module
print(divide(2,3))
NameError:
name
'mymath'
is
not
defined
181. ⏝䛩䜛䝁䝬䞁䝗
Python
ධ㛛
181
yuichi$
ssh
-‐l
guest
10.71.224.172
pass:
c1sco123
[guest@fedora172
~]$
nmap
127.0.0.1
Starcng
Nmap
6.01
(
h7p://nmap.org
)
at
2014-‐02-‐08
13:05
EST
Nmap
scan
report
for
fedora172.localdomain
(127.0.0.1)
Host
is
up
(0.0016s
latency).
Not
shown:
995
closed
ports
PORT
STATE
SERVICE
22/tcp
open
ssh
23/tcp
open
telnet
25/tcp
open
smtp
111/tcp
open
rpcbind
631/tcp
open
ipp
237. __name__
• __name__䚷
• __name__
䛜㻌__main__
䛾䛸䛝䛿㉳Ⅼ
Python
import
uclity
def
func():
print(func
on
main.py)
print(global
on
main.py)
func()
uclity.func()
if
__name__
==
__main__:
print(__name__
is
__main__
on
main.py)
ධ㛛
237
def
func():
print(func()
on
uclity.py)
print(global
on
uclity.py)
func()
if
__name__
==
__main__:
print(__name__
is
__main__
on
uclity.py)
main.py
uclity.py
238. __name__
Python
ධ㛛
238
def
func():
print(func()
on
uclity.py)
print(global
on
uclity.py)
func()
if
__name__
==
__main__:
True
print(__name__
is
__main__
on
uclity.py)
#
python
uclity.py
global
on
uclity.py
func()
on
uclity.py
__name__
is
__main__
on
uclity.py
ᐇ⾜⤖ᯝ
239. __name__
Python
ධ㛛
239
import
uclity
def
func():
print(func
on
main.py)
print(global
on
main.py)
func()
uclity.func()
if
__name__
==
__main__:
print(__name__
is
__main__
on
main.py)
def
func():
print(func()
on
uclity.py)
print(global
on
uclity.py)
func()
if
__name__
==
__main__:
print(__name__
is
__main__
on
uclity.py)
main.py
True
uclity.py
False
#python
main.py
global
on
uclity.py
func()
on
uclity.py
global
on
main.py
func
on
main.py
func()
on
uclity.py
__name__
is
__main__
on
main.py
ᐇ⾜⤖ᯝ
240. 䝁䝢䞊䛸ཧ↷
• 䝁䝢䞊:
␗䛺䜛䜸䝤䝆䜵䜽䝖
• ཧ↷:
ྠ୍䜸䝤䝆䜵䜽䝖䜢」ᩘ⟠ᡤ䛷⏝
• ཧ↷䛻ᑐ䛧䛶䛿స⏝䛾ὀព䛜ᚲせ
Python
ධ㛛
240
a
=
[1,2,3,4]
b
=
a
b.append(5)
a
[1,
2,
3,
4,
5]