The document proposes a "Data First" approach to coding which advocates learning about data storage, databases, and data patterns before writing code. It argues this would boost productivity for coders of all experience levels. A Data First approach means learning databases first before coding procedures to interact with data. This provides a better way for people to master coding, especially those without formal computer science training.
If you’re learning data science, you’re probably on the lookout for cool data science projects. Look no further! We have a wide variety of guided projects that’ll get you working with real data in real-world scenarios while also helping you learn and apply new data science skills.
The projects in the list below are also designed to help you get a job! Each project was designed by a data scientist on our content team, and they’re representative examples of the real projects working data analysts and data scientists do every day. They’re designed to guide you through the process while also challenging your skills, and they’re open-ended so that you can put your own twist on each project and use it for your data science portfolio.
You can complete each project right in your browser, or you can download the data set to your computer and work locally! If you work on our site, you’ll also be able to download your code at any time so that you can continue locally, or upload your project to GitHub.
The sky is the limit here and what you decide to look into further is completely up to you and your imagination!
1. Learning by Doing
Learning by doing refers to a theory of education expounded by American philosopher John Dewey. It is a hands-on approach to learning, meaning students must interact with their environment in order to adapt and learn. This way of learning sharpen your current skills and knowledge and also helps in gaining new skills that could only be acquired by doing.
Car driving is a perfect example of this, you can read as much as you would like about the theory of driving and the rules, and this is very important, and the more you understand the theory the better you get in the practical part. But you will only be able to drive better by applying this knowledge on the real road. In addition to that, there are some skills and knowledge that will be only gained by actually driving.
Data science is the same as driving. It is very important to have solid theoretical knowledge and to regularly increase them to be able to get better while working on a project. However, you should always apply this theoretical knowledge to projects. By this, you will deepen your understanding of these concepts and Knowledge, have a better point of view of how they work in a real-life, and will also show others that you have strong theoretical knowledge and are able to put them into practice.
There are different types of guided projects. One of them is a guided project for
There are a lot of benefits for it:
It removes the barriers between you and doing projects
Saves you much time thinking about the project and preparing the data.
It allows you to apply the theoretical knowledge without getting distracted by obstacles.
Practical tips that can save your effort and time in the future.
#datasciencefree
#rohitdubey
#teachtechtoe
#linkedin.com/in/therohitdubey
Karen Lopez 10 Physical Data Modeling BlundersKaren Lopez
Karen Lopez's presentation about 10 Physical Data Modeling/Database Design blunders, based on her work in helping organizations get the most value out of their models and data.
Notice an error? Let me know. I welcome this sort of feedback.
Top 10 Interview Questions for Coding Job.docxSurendra Gusain
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
If you’re learning data science, you’re probably on the lookout for cool data science projects. Look no further! We have a wide variety of guided projects that’ll get you working with real data in real-world scenarios while also helping you learn and apply new data science skills.
The projects in the list below are also designed to help you get a job! Each project was designed by a data scientist on our content team, and they’re representative examples of the real projects working data analysts and data scientists do every day. They’re designed to guide you through the process while also challenging your skills, and they’re open-ended so that you can put your own twist on each project and use it for your data science portfolio.
You can complete each project right in your browser, or you can download the data set to your computer and work locally! If you work on our site, you’ll also be able to download your code at any time so that you can continue locally, or upload your project to GitHub.
The sky is the limit here and what you decide to look into further is completely up to you and your imagination!
1. Learning by Doing
Learning by doing refers to a theory of education expounded by American philosopher John Dewey. It is a hands-on approach to learning, meaning students must interact with their environment in order to adapt and learn. This way of learning sharpen your current skills and knowledge and also helps in gaining new skills that could only be acquired by doing.
Car driving is a perfect example of this, you can read as much as you would like about the theory of driving and the rules, and this is very important, and the more you understand the theory the better you get in the practical part. But you will only be able to drive better by applying this knowledge on the real road. In addition to that, there are some skills and knowledge that will be only gained by actually driving.
Data science is the same as driving. It is very important to have solid theoretical knowledge and to regularly increase them to be able to get better while working on a project. However, you should always apply this theoretical knowledge to projects. By this, you will deepen your understanding of these concepts and Knowledge, have a better point of view of how they work in a real-life, and will also show others that you have strong theoretical knowledge and are able to put them into practice.
There are different types of guided projects. One of them is a guided project for
There are a lot of benefits for it:
It removes the barriers between you and doing projects
Saves you much time thinking about the project and preparing the data.
It allows you to apply the theoretical knowledge without getting distracted by obstacles.
Practical tips that can save your effort and time in the future.
#datasciencefree
#rohitdubey
#teachtechtoe
#linkedin.com/in/therohitdubey
Karen Lopez 10 Physical Data Modeling BlundersKaren Lopez
Karen Lopez's presentation about 10 Physical Data Modeling/Database Design blunders, based on her work in helping organizations get the most value out of their models and data.
Notice an error? Let me know. I welcome this sort of feedback.
Top 10 Interview Questions for Coding Job.docxSurendra Gusain
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
Top 10 Interview Questions for Coding Job.docxSurendra Gusain
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
What Your Database Query is Really DoingDave Stokes
Do you ever wonder what your database servers is REALLY doing with that query you just wrote. This is a high level overview of the process of running a query
Have you ever wanted to be able to express your ideas for digital collections more clearly, or thought that a hack day sounds like fun but need a way to get started with basic web scripting? In this hands-on workshop you will learn how to use online tools to create interesting visualisations to explore a cultural dataset and create your own simple 'mash-up'.
The workshop will be a fun, supportive environment where you will learn by playing with small snippets of code. No scripting knowledge is assumed.
Key Skills Required for Data EngineeringFibonalabs
Data Engineering is a term whose probability of appearing on social media platforms is as high as encountering a black car on a highway. It is a hot topic everywhere due to many reasons. In the past couple of years, Data Engineering has been chosen as a profession by so many people. Organizations have increased the number of vacancies for this job, and all this for what? Because data is everything. Handling a bulk of data that we store on our clouds or hardware, structuring it, making it useful, formatting it, and so much more can be done if you have the right data engineering skills.
If you are a beginner and you want to learn programming language, then this is very helpful for you.
Through this ppt i have given guidelines to beginners to how to start learning programming languages.
if need any programming assignment help then go through our website- programmingshark.com
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Top 10 Interview Questions for Coding Job.docxSurendra Gusain
Hello everyone!! Today’s blog topic is ‘Top 10 Interview Questions for Coding Job.’ Questions related to programming and coding are a crucial part of a developer’s position interview. If you want to succeed, you need to be familiar with the fundamental concepts of coding and programming. Your coding skills play a huge factor in increasing your chances of hiring in the interview process. Coding is an excellent field with various career opportunities within the country or even abroad but it also means it has lots of competition which makes the whole interview process quite challenging.
What Your Database Query is Really DoingDave Stokes
Do you ever wonder what your database servers is REALLY doing with that query you just wrote. This is a high level overview of the process of running a query
Have you ever wanted to be able to express your ideas for digital collections more clearly, or thought that a hack day sounds like fun but need a way to get started with basic web scripting? In this hands-on workshop you will learn how to use online tools to create interesting visualisations to explore a cultural dataset and create your own simple 'mash-up'.
The workshop will be a fun, supportive environment where you will learn by playing with small snippets of code. No scripting knowledge is assumed.
Key Skills Required for Data EngineeringFibonalabs
Data Engineering is a term whose probability of appearing on social media platforms is as high as encountering a black car on a highway. It is a hot topic everywhere due to many reasons. In the past couple of years, Data Engineering has been chosen as a profession by so many people. Organizations have increased the number of vacancies for this job, and all this for what? Because data is everything. Handling a bulk of data that we store on our clouds or hardware, structuring it, making it useful, formatting it, and so much more can be done if you have the right data engineering skills.
If you are a beginner and you want to learn programming language, then this is very helpful for you.
Through this ppt i have given guidelines to beginners to how to start learning programming languages.
if need any programming assignment help then go through our website- programmingshark.com
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
DataFirst approach to coding
1. #DataFirst approach to coding
How software engineering at all levels can be more
productive by learning data first.
Ato Mensah
Co-founder, Bitstrapped
2. Data First: Understand data storage, databases, and data patterns, then writing code
There will be an estimated 30M software globally by 2024
The largest portion of developers are self taught
How do we create more
coders and boost their productivity?
All of them would benefit from a “data-first” approach to
coding to boost productivity, no matter what their
experience level is.
3. Data First: Understand data storage, databases, and data patterns, then writing code
A better approach to learning to code
Learn how to design interfaces
Find a purpose
Define yourself
Learn a data and databases
Learn to write procedures
#DataFirst
4. Data First: Understand data storage, databases, and data patterns, then writing code
Common excuses for giving up
5. Data First: Understand data storage, databases, and data patterns, then writing code
Coding is Boring.
6. Data First: Understand data storage, databases, and data patterns, then writing code
Requires deep math
understanding.
7. Data First: Understand data storage, databases, and data patterns, then writing code
Too Many Languages.
8. Data First: Understand data storage, databases, and data patterns, then writing code
Syntax is confusing.
9. Data First: Understand data storage, databases, and data patterns, then writing code
Teachers are boring.
10. Data First: Understand data storage, databases, and data patterns, then writing code
No Purpose.
11. We give up when we can't relate what we are
doing to a real problem
Data First: Understand data storage, databases, and data patterns, then writing code
The truth is …
12. Data First: Understand data storage, databases, and data patterns, then writing code
Do it because you want to solve your own problems.
Automate and improve your life. Build an app to help
people.
- Andrei Soare
(The Next Web)
13. Don Knuth
“I might be 1 person of 50”
3% of people can think computationally
https://www.youtube.com/watch?v=ajlh7l1KCW8
Data First: Understand data storage, databases, and data patterns, then writing code
14. Data First: Understand data storage, databases, and data patterns, then writing code
Typically refers to a
programmer with limited
experience who writes
simple programs.
Coder
A software engineer is a
licensed professional
engineer who is schooled
and skilled in the
application of engineering
discipline to the creation
of software.
Software Engineer
Programmer
A person who
writes computer
programs. Typically
can pick up any
language with
some time.
15. Data First: Understand data storage, databases, and data patterns, then writing code
Layers of software development
Coders,
Programmers
Software Engineers
Computer Science
Math
Computational
16. Data First: Understand data storage, databases, and data patterns, then writing code
Layers of software development
FRONT-END
HTML, CSS, JavaScript,
BACK-END
PHP, Node.js, Ruby, JAVA,
Python
BACK-END (Database)
MySQL, Postgres, SQL
17. Data First: Understand data storage, databases, and data patterns, then writing code
Learning Web Development
FRONT-END
HTML, CSS, JavaScript,
BACK-END
PHP, Node.js, Ruby, JAVA,
Python
BACK-END (Database)
MySQL, Postgres, SQL
Degree of Difficulty
Easiest
The Interface
The Language
The Storage
18. Data First: Understand data storage, databases, and data patterns, then writing code
We assume that because we are teaching
web development, we need to start with
HTML, CSS JavaScript, the languages of
the web browser
Assumption
19. Data First: Understand data storage, databases, and data patterns, then writing code
The longer it takes a student to learn
databases, the longer they stay
disconnected from the data, the data flow
behind the app.
Maybe we are wrong…
20. Data First: Understand data storage, databases, and data patterns, then writing code
Learn a Data and databases
21. Everything is a data
Inputting / Storing / Retrieving Data is the most
important concept in programming
Data First: Understand data storage, databases, and data patterns, then writing code
22. Data First: Understand data storage, databases, and data patterns, then writing code
Learn a Databases as a means
to becoming a better coder
#Data First
23. Data First: Understand data storage, databases, and data patterns, then writing code
Data First?
SQL = The Language of the Database
The 9 Most In-Demand Programming Languages of 2016
Structured Query
Language (SQL)
24. Data First: Understand data storage, databases, and data patterns, then writing code
PostgreSQL, MongoDB and MySQL power a lot of internet companies.
Almost every interaction you have with technology eventually touches
something SQL or an equivalent Structured Query language.
All mobile apps have access to a SQL database called SQLite. They also store
everything in central databases over the cloud.
Learn these databases
25. Data First: Understand data storage, databases, and data patterns, then writing code
Classic Web Form
Movie Maker
Sarah Sheppard
1. Learn to collect basic form data
2. Learn to process the data
3. Learn to place it in a database
4. Learn to later retrieve this data and display it
26. Data First: Understand data storage, databases, and data patterns, then writing code
{
name: “Sarah Sheppard”,
age: 30,
description: “Movie Maker”
}
Data Structure (JSON)
Form submission over the internet
27. Data First: Understand data storage, databases, and data patterns, then writing code
Database Table
28. Learn to write procedures that
interact with the database
Data First: Understand data storage, databases, and data patterns, then writing code
29. Computers are good at following instructions, but
not at reading your mind.
- Don Knuth
Data First: Understand data storage, databases, and data patterns, then writing code
30. Data First: Understand data storage, databases, and data patterns, then writing code
Procedure
A series of actions conducted in a certain order or manner
31. The actions of a procedure are
a set of instructions written in a
language
Data First: Understand data storage, databases, and data patterns, then writing code
32. Data First: Understand data storage, databases, and data patterns, then writing code
Choose a programming language
?
34. Data First: Understand data storage, databases, and data patterns, then writing code
Picking up your kid up from school
Picking up little Adrienne
Language = English
Think Procedurally
35. Data First: Understand data storage, databases, and data patterns, then writing code
Time
(data storage)
You current State
(data storage)
Computations (inputs)
(data + thinking)
Action (Decision)
(Functions)
Wed, 3:15pm
Wed, 3:16pm
Wed, 3:18pm
Wed, 3:20pm
Wed, 3:22pm
Sitting on couch watching
Judge Judy
Becoming a little anxious
Off the couch, walking to the
kitchen for a snack
Grabbing keys
Sitting in Car
• On wed teacher usually lets the
kids out 10 minutes late.
• But I probably want to get
ahead of the other parents
in the parking lot queue or
we will waste more time
• Oh, last time I was late he
had a fit
• But damn, this episode of
Judge Judy is so good, I want
to watch another 5 minute.
• I guess I better consider
traffic too.
• Did I fill the gas tank?
Shift position
Stand up start walking
Reach for keys
Walk to door, lock the door
and head to the school
36. "I think you can learn any subject better if you
have a way to express it as a procedure (algorithm)
instead of a set of facts".
- Don Knuth
Data First: Understand data storage, databases, and data patterns, then writing code
37. Data First: Understand data storage, databases, and data patterns, then writing code
Humans do a lot of actions by following procedures backed by data
stored in memory and environment data processed in real-time
What we do wrong when teaching code:
1. We take a long time to get to the procedures
2. We spend a lot of focus on fundamentals of programming
3. Definitions and Facts
4. Latest and greatest frameworks (“best practices”)
5. We teach with bias based on our experience
38. We over complicate software and the process
because of our experience
Data First: Understand data storage, databases, and data patterns, then writing code
39. #Data First
Data First: Understand data storage, databases, and data patterns, then writing code
DataFirst means you learn how about the database first, before
learning to code the procedures to interact with it.
40. Learn Data before you master
coding
Data First: Understand data storage, databases, and data patterns, then writing code
41. A better way to master coding
Especially if you are not formally trained
computer scientists
Data First: Understand data storage, databases, and data patterns, then writing code
42. Data First: Understand data storage, databases, and data patterns, then writing code
Learn more database and more
procedures
43. Resources to manage a local database:
Data.World
Social network for Datasets. Download.
PgAdmin
https://www.pgadmin.org
MySQL Workbench
https://www.mysql.com/products/workbench
SQLPro for MSSQL
https://www.macsqlclient.com
Data First: Understand data storage, databases, and data patterns, then writing code
44. Thank You
Data First: Understand data storage, databases, and data patterns, then writing code