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
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
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.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
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/
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.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
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.
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.
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.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
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?
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
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
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
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]