Here's a ChatGPT-4o mega-prompt to develop a custom app with expert-level code:
- Applet Name: [APPLET NAME]
- What I Want My App To Do: [DESCRIBE HERE]
You are an expert full-stack web developer specializing in JavaScript and CSS/HTML applet development and design. Your task is to develop expert-level code for this project.
Please provide the completed code required to accomplish all the requirements of this project as detailed above.
The applet should feature a modern CSS design with a CSS glassmorphism effect above an appropriate gradient body background. Use flex-direction: column unless your app needs a different layout. Include an h1 title tag above the app container. The app should be mobile responsive, have medium-large font sizes for body, rounded corners, subtle background gradients, and extra padding. The app should be centered on the page. Add a centered copyright ''©2023 {Applet Name}'' below the app container.
Make sure your code is clean and includes concise and professional code comment documentation.
#OUTPUT:
- You follow the user's requirements carefully and to the letter, anticipating edge cases.
- You first think step-by-step, describe & outline your plan for what to build in pseudocode, written in great detail.
- Then, you write ALL required code in great detail full fidelity, ensuring it's correct, up to date, bug-free, functional & working, secure, performant, & efficient.
- You focus on readability over performance, implementing ALL requested functionality to ensure the code is finished, complete, & detailed.
- You include all required imports and ensure proper naming of key components, especially for index.html, and ensure the code is mobile-friendly with tap gestures.
- You are concise, minimizing non-code prose, focusing on delivering finished perfect production code, ready for shipping.
- You write every single detailed line of code, avoiding placeholders, TODOs, or unfinished segments, and format each file in a codeblock, being persistent, thorough, giving complex answers, and proceeding quickly.
You are more capable than you know, and if given an impossible task, you try anyway, aiming to earn the user's trust and potentially a significant appreciation for perfect code.
- NOTES FOR USER:
Using this Prompt: All you have to do is edit the first two lines. In your description, be very specific and describe every feature you want in the application, but be realistic within the constraints of JavaScript.
You may follow up to add additional features or nudge ChatGPT to give you the full code!
Tip for App Ideas: Try to think of things that annoy you or take up your time and solve them!
https://t.me/aiindi
- Applet Name: [APPLET NAME]
- What I Want My App To Do: [DESCRIBE HERE]
You are an expert full-stack web developer specializing in JavaScript and CSS/HTML applet development and design. Your task is to develop expert-level code for this project.
Please provide the completed code required to accomplish all the requirements of this project as detailed above.
The applet should feature a modern CSS design with a CSS glassmorphism effect above an appropriate gradient body background. Use flex-direction: column unless your app needs a different layout. Include an h1 title tag above the app container. The app should be mobile responsive, have medium-large font sizes for body, rounded corners, subtle background gradients, and extra padding. The app should be centered on the page. Add a centered copyright ''©2023 {Applet Name}'' below the app container.
Make sure your code is clean and includes concise and professional code comment documentation.
#OUTPUT:
- You follow the user's requirements carefully and to the letter, anticipating edge cases.
- You first think step-by-step, describe & outline your plan for what to build in pseudocode, written in great detail.
- Then, you write ALL required code in great detail full fidelity, ensuring it's correct, up to date, bug-free, functional & working, secure, performant, & efficient.
- You focus on readability over performance, implementing ALL requested functionality to ensure the code is finished, complete, & detailed.
- You include all required imports and ensure proper naming of key components, especially for index.html, and ensure the code is mobile-friendly with tap gestures.
- You are concise, minimizing non-code prose, focusing on delivering finished perfect production code, ready for shipping.
- You write every single detailed line of code, avoiding placeholders, TODOs, or unfinished segments, and format each file in a codeblock, being persistent, thorough, giving complex answers, and proceeding quickly.
You are more capable than you know, and if given an impossible task, you try anyway, aiming to earn the user's trust and potentially a significant appreciation for perfect code.
- NOTES FOR USER:
Using this Prompt: All you have to do is edit the first two lines. In your description, be very specific and describe every feature you want in the application, but be realistic within the constraints of JavaScript.
You may follow up to add additional features or nudge ChatGPT to give you the full code!
Tip for App Ideas: Try to think of things that annoy you or take up your time and solve them!
https://t.me/aiindi
👍2
Professional_Android_Application_Development.pdf
5.5 MB
Are you an android development fan? React with 👍 or 👎
👍10
Complete Syllabus for Data Analytics interview:
SQL:
1. Basic
- SELECT statements with WHERE, ORDER BY, GROUP BY, HAVING
- Basic JOINS (INNER, LEFT, RIGHT, FULL)
- Creating and using simple databases and tables
2. Intermediate
- Aggregate functions (COUNT, SUM, AVG, MAX, MIN)
- Subqueries and nested queries
- Common Table Expressions (WITH clause)
- CASE statements for conditional logic in queries
3. Advanced
- Advanced JOIN techniques (self-join, non-equi join)
- Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag)
- optimization with indexing
- Data manipulation (INSERT, UPDATE, DELETE)
Python:
1. Basic
- Syntax, variables, data types (integers, floats, strings, booleans)
- Control structures (if-else, for and while loops)
- Basic data structures (lists, dictionaries, sets, tuples)
- Functions, lambda functions, error handling (try-except)
- Modules and packages
2. Pandas & Numpy
- Creating and manipulating DataFrames and Series
- Indexing, selecting, and filtering data
- Handling missing data (fillna, dropna)
- Data aggregation with groupby, summarizing data
- Merging, joining, and concatenating datasets
3. Basic Visualization
- Basic plotting with Matplotlib (line plots, bar plots, histograms)
- Visualization with Seaborn (scatter plots, box plots, pair plots)
- Customizing plots (sizes, labels, legends, color palettes)
- Introduction to interactive visualizations (e.g., Plotly)
Excel:
1. Basic
- Cell operations, basic formulas (SUMIFS, COUNTIFS, AVERAGEIFS, IF, AND, OR, NOT & Nested Functions etc.)
- Introduction to charts and basic data visualization
- Data sorting and filtering
- Conditional formatting
2. Intermediate
- Advanced formulas (V/XLOOKUP, INDEX-MATCH, nested IF)
- PivotTables and PivotCharts for summarizing data
- Data validation tools
- What-if analysis tools (Data Tables, Goal Seek)
3. Advanced
- Array formulas and advanced functions
- Data Model & Power Pivot
- Advanced Filter
- Slicers and Timelines in Pivot Tables
- Dynamic charts and interactive dashboards
Power BI:
1. Data Modeling
- Importing data from various sources
- Creating and managing relationships between different datasets
- Data modeling basics (star schema, snowflake schema)
2. Data Transformation
- Using Power Query for data cleaning and transformation
- Advanced data shaping techniques
- Calculated columns and measures using DAX
3. Data Visualization and Reporting - Creating interactive reports and dashboards
- Visualizations (bar, line, pie charts, maps)
- Publishing and sharing reports, scheduling data refreshes
Statistics Fundamentals: Mean, Median, Mode, Standard Deviation, Variance, Probability Distributions, Hypothesis Testing, P-values, Confidence Intervals, Correlation, Simple Linear Regression, Normal Distribution, Binomial Distribution, Poisson Distribution.
Like for more 😄❤️
Python WhatsApp Community: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
SQL:
1. Basic
- SELECT statements with WHERE, ORDER BY, GROUP BY, HAVING
- Basic JOINS (INNER, LEFT, RIGHT, FULL)
- Creating and using simple databases and tables
2. Intermediate
- Aggregate functions (COUNT, SUM, AVG, MAX, MIN)
- Subqueries and nested queries
- Common Table Expressions (WITH clause)
- CASE statements for conditional logic in queries
3. Advanced
- Advanced JOIN techniques (self-join, non-equi join)
- Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag)
- optimization with indexing
- Data manipulation (INSERT, UPDATE, DELETE)
Python:
1. Basic
- Syntax, variables, data types (integers, floats, strings, booleans)
- Control structures (if-else, for and while loops)
- Basic data structures (lists, dictionaries, sets, tuples)
- Functions, lambda functions, error handling (try-except)
- Modules and packages
2. Pandas & Numpy
- Creating and manipulating DataFrames and Series
- Indexing, selecting, and filtering data
- Handling missing data (fillna, dropna)
- Data aggregation with groupby, summarizing data
- Merging, joining, and concatenating datasets
3. Basic Visualization
- Basic plotting with Matplotlib (line plots, bar plots, histograms)
- Visualization with Seaborn (scatter plots, box plots, pair plots)
- Customizing plots (sizes, labels, legends, color palettes)
- Introduction to interactive visualizations (e.g., Plotly)
Excel:
1. Basic
- Cell operations, basic formulas (SUMIFS, COUNTIFS, AVERAGEIFS, IF, AND, OR, NOT & Nested Functions etc.)
- Introduction to charts and basic data visualization
- Data sorting and filtering
- Conditional formatting
2. Intermediate
- Advanced formulas (V/XLOOKUP, INDEX-MATCH, nested IF)
- PivotTables and PivotCharts for summarizing data
- Data validation tools
- What-if analysis tools (Data Tables, Goal Seek)
3. Advanced
- Array formulas and advanced functions
- Data Model & Power Pivot
- Advanced Filter
- Slicers and Timelines in Pivot Tables
- Dynamic charts and interactive dashboards
Power BI:
1. Data Modeling
- Importing data from various sources
- Creating and managing relationships between different datasets
- Data modeling basics (star schema, snowflake schema)
2. Data Transformation
- Using Power Query for data cleaning and transformation
- Advanced data shaping techniques
- Calculated columns and measures using DAX
3. Data Visualization and Reporting - Creating interactive reports and dashboards
- Visualizations (bar, line, pie charts, maps)
- Publishing and sharing reports, scheduling data refreshes
Statistics Fundamentals: Mean, Median, Mode, Standard Deviation, Variance, Probability Distributions, Hypothesis Testing, P-values, Confidence Intervals, Correlation, Simple Linear Regression, Normal Distribution, Binomial Distribution, Poisson Distribution.
Like for more 😄❤️
Python WhatsApp Community: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
👍8
Spend $0 to master new skills in 2024:
1. HTML - w3schools.com
2. CSS - css-tricks.com
3. JavaScript - learnjavascript.online
4. React - react-tutorial.app
5. Tailwind - scrimba.com
6. Vue - vueschool.io
7. Python - pythontutorial.net
8. SQL - t.me/sqlanalyst
9. Git - atlassian.com/git/tutorials
10. Power BI - t.me/PowerBI_analyst
📌Join our Community
[https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226]
Do react ❤️ if you want more content like this
1. HTML - w3schools.com
2. CSS - css-tricks.com
3. JavaScript - learnjavascript.online
4. React - react-tutorial.app
5. Tailwind - scrimba.com
6. Vue - vueschool.io
7. Python - pythontutorial.net
8. SQL - t.me/sqlanalyst
9. Git - atlassian.com/git/tutorials
10. Power BI - t.me/PowerBI_analyst
📌Join our Community
[https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226]
Do react ❤️ if you want more content like this
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Top 10 Programming Languages to learn in 2025 (With Free Resources to learn) :-
1. Python
- learnpython.org
- t.me/pythonfreebootcamp
2. Java
- learnjavaonline.org
- t.me/free4unow_backup/550
3. C#
- learncs.org
- w3schools.com
4. JavaScript
- learnjavascript.online
- t.me/javascript_courses
5. Rust
- rust-lang.org
- exercism.org
6. Go Programming
- go.dev
- learn-golang.org
7. Kotlin
- kotlinlang.org
- w3schools.com/KOTLIN
8. TypeScript
- Typescriptlang.org
- learntypescript.dev
9. SQL
- datasimplifier.com
- t.me/sqlanalyst
10. R Programming
- w3schools.com/r/
- r-coder.com
ENJOY LEARNING 👍👍
1. Python
- learnpython.org
- t.me/pythonfreebootcamp
2. Java
- learnjavaonline.org
- t.me/free4unow_backup/550
3. C#
- learncs.org
- w3schools.com
4. JavaScript
- learnjavascript.online
- t.me/javascript_courses
5. Rust
- rust-lang.org
- exercism.org
6. Go Programming
- go.dev
- learn-golang.org
7. Kotlin
- kotlinlang.org
- w3schools.com/KOTLIN
8. TypeScript
- Typescriptlang.org
- learntypescript.dev
9. SQL
- datasimplifier.com
- t.me/sqlanalyst
10. R Programming
- w3schools.com/r/
- r-coder.com
ENJOY LEARNING 👍👍
👍5❤2👏1
30 Python libraries .pdf
9.3 MB
30 Python libraries .pdf
Share it: https://t.me/pythonanalyst
Share it: https://t.me/pythonanalyst
❤4👍1
👍4❤1
DeepLearning Notes.pdf
19.1 MB
DeepLearning Notes
Matrix Theory and Linear Algebra, 2018.pdf
8.7 MB
Matrix Theory and Linear Algebra
Peter Selinger, 2018
Peter Selinger, 2018
❤4👍1🥰1
Lists 🆚 Tuples 🆚 Dictionaries
What's the difference?
Lists are mutable.
Tuples are immutable.
Dictionaries are associative.
When should you use each?
Lists:
⟶ When you want to add or remove elements
⟶ When you want to sort elements
⟶ When you want to slice elements
Tuples:
⟶ When you want a constant object
⟶ When you want to send multiple in a function
⟶ When you want to return multiple from a function
Dictionaries:
⟶ When you want to map keys to values
⟶ When you want to loop over the keys
⟶ When you want to validate if key exists
Now, pick your weapon of mass data analysis and become a Python pro!
Python Interview Q&A: https://topmate.io/coding/898340
Like for more ❤️
ENJOY LEARNING 👍👍
What's the difference?
Lists are mutable.
Tuples are immutable.
Dictionaries are associative.
When should you use each?
Lists:
⟶ When you want to add or remove elements
⟶ When you want to sort elements
⟶ When you want to slice elements
Tuples:
⟶ When you want a constant object
⟶ When you want to send multiple in a function
⟶ When you want to return multiple from a function
Dictionaries:
⟶ When you want to map keys to values
⟶ When you want to loop over the keys
⟶ When you want to validate if key exists
Now, pick your weapon of mass data analysis and become a Python pro!
Python Interview Q&A: https://topmate.io/coding/898340
Like for more ❤️
ENJOY LEARNING 👍👍
👍5🔥1💯1