Become a deft manipulator of text data. Regular Expression is the miracle of text extraction. If you got a text patten in mind, you can write your own pattern match in regular expression.
Content:
What is function pointer?
Motivation, what is the use cases of function pointer?
Declaration of function pointer in c
Initialization of function pointer in c
Calling a function using the function pointer
Example on function pointer
Function pointer as arguments
By:
AbuBakr Mohammed Ramadan
#AbuBakrMR
Part 1 of "Introduction to Catalyst" talks about installing Catalyst, creating your first application, examining its structure, and how HTTP requests are dispatched.
Content:
What is function pointer?
Motivation, what is the use cases of function pointer?
Declaration of function pointer in c
Initialization of function pointer in c
Calling a function using the function pointer
Example on function pointer
Function pointer as arguments
By:
AbuBakr Mohammed Ramadan
#AbuBakrMR
Part 1 of "Introduction to Catalyst" talks about installing Catalyst, creating your first application, examining its structure, and how HTTP requests are dispatched.
Have you looked at any Gutenberg code recently?
If you’re not familiar with React and it’s proprietary JSX “language”, it can make your head spin a bit.
This is slide deck from the WordPress Gwinnett meetup where Micah Wood gives an introduction to React's JSX syntax, gotchas, and nuances.
You can view the accompanying video here: https://www.youtube.com/watch?v=js0mD2mDaa0
Some parts of our applications don't need to be asynchronous or interact with the outside world: it's enough that they are stateful, possibly with the ability to handle failure, context, and logging. Although you can use ZIO 2 or monad transformers for this task, both come with drawbacks. In this presentation, Jorge Vásquez will introduce you to ZPure, a data type from ZIO Prelude, which lets you scale back on the power of ZIO 2, but with the same high-performance, type-inference, and ergonomics you expect from ZIO 2 libraries.
Brief overview of the Rust system programming language. Provides a concise introduction of its basic features, with an emphasis on its memory safety features (ownership, moves, borrowing) and programming style with generic functions, structures, and traits.
This is the ninth set of slightly updated slides from a Perl programming course that I held some years ago.
I want to share it with everyone looking for intransitive Perl-knowledge.
A table of content for all presentations can be found at i-can.eu.
The source code for the examples and the presentations in ODP format are on https://github.com/kberov/PerlProgrammingCourse
Have you looked at any Gutenberg code recently?
If you’re not familiar with React and it’s proprietary JSX “language”, it can make your head spin a bit.
This is slide deck from the WordPress Gwinnett meetup where Micah Wood gives an introduction to React's JSX syntax, gotchas, and nuances.
You can view the accompanying video here: https://www.youtube.com/watch?v=js0mD2mDaa0
Some parts of our applications don't need to be asynchronous or interact with the outside world: it's enough that they are stateful, possibly with the ability to handle failure, context, and logging. Although you can use ZIO 2 or monad transformers for this task, both come with drawbacks. In this presentation, Jorge Vásquez will introduce you to ZPure, a data type from ZIO Prelude, which lets you scale back on the power of ZIO 2, but with the same high-performance, type-inference, and ergonomics you expect from ZIO 2 libraries.
Brief overview of the Rust system programming language. Provides a concise introduction of its basic features, with an emphasis on its memory safety features (ownership, moves, borrowing) and programming style with generic functions, structures, and traits.
This is the ninth set of slightly updated slides from a Perl programming course that I held some years ago.
I want to share it with everyone looking for intransitive Perl-knowledge.
A table of content for all presentations can be found at i-can.eu.
The source code for the examples and the presentations in ODP format are on https://github.com/kberov/PerlProgrammingCourse
Practical JavaScript Programming - Session 6/8Wilson Su
JavaScript is one of the most popular skills in today’s job market. It allows you to create both client- and server-side applications quickly and easily. Having a solid understanding of this powerful and versatile language is essential to anyone who uses it.
“Practical JavaScript Programming” does not only focus on best practices, but also introduces the fundamental concepts. This course will take you from JavaScript basics to advanced. You’ll learn about topics like Data Types, Functions, Events, AJAX and more.
Regular expressions are the main way many tools matches patterns within strings.
For example, finding pieces of text within a larger doc, or finding a restriction site within a larger sequence. This slide report illustrates what a RegEx is and what you can do to find, match, compare or replace text of documents or code.
Regular expressions are used to identify whether a pattern exists in a given sequence of characters (string) or not. They help in manipulating textual data, which is often a pre-requisite for data science projects that involve text mining. You must have come across some application of regular expressions: they are used at the server side to validate the format of email addresses or password during registration, used for parsing text data files to find, replace or delete certain string, etc.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
13. Practice #1
Q: which one of the following matches m{^r.*o.*s{2,4}$}
a) ros
b) ross
c) rosss
d) rossss
e) rossssss
f ) answers b,c,d
g) answers b,c,d,e
15. Match, substitute, split
# match
my $last_name = 'ross';
if ($last_name =~ m{^r.*o.*ss$}) {
print "match foundn";
}
# substitution
my $full_name = "betsy ross";
$full_name =~ s{s+}{-};
print "substitute space with dash: $full_namen";
# split
$full_name = "ross, betsy";
my @nomens = split m{,s*}, $full_name;
print join (':', @nomens) . "n";
16. Match, substitute, split
# match
my $last_name = 'ross';
if ($last_name =~ /^r.*o.*ss$/) {
print "match foundn";
}
# substitution
my $full_name = "betsy ross";
$full_name =~ s/s+/-/;
print "substitute space with dash: $full_namen";
# split
$full_name = "ross, betsy";
my @nomens = split /,s*/, $full_name;
print join (':', @nomens) . "n";
17. // vs {}
Traditional: //
Most common. Not so good if matching for '/'
e.g. $str =~ ///;
Better: {}
Nesting brace characters in regex do not need escaping
18. Practice #2
Using regex, remove all spaces from the beginning and end of a
string. Hint: Use two regex.
25. Character class
split m{[.,;s]+}, $names;
$names =~ s{[^a-zA-Z0-9]}{-}g;
# leading ^ will negate the character class
# g modifier for global
# run character_class.pl
44. Look-around
my $pop = 281421906;
# 281,421,906
print "The US population is $popn";
# add commas inbetween each three digits
$pop =~ s{(?<=d)(?=(ddd)+$)}{,}g;
print "The US population is $popn";
46. /xms
/x whitespace and comments
/m awk/grep/sed matching ^ and $
/s multi-line text (‘.’ matches newline)
47. A and z
# by default, beginning and end of string
# with m, beginning and end of line
$last_name =~ m{^r.*o.*ss$};
# always beginning and end of string
$last_name =~ m{Ar.*o.*ssz};
49. tr
my $name = "JagerMech";
$name =~ tr/A-Z/a-z/;
# one for one translation.
# replace chars of left with those on right.
print "$namen";
# jagermech
# tr is almost never used
50. w
Not used on the homework.
Almost never used.
w describes alphanumerics and ‘_’