Python learning

Useful Excel Shortcuts: ● Ctrl + A: Select all contents of the page. ● Ctrl + B: Bold highlighted selection. ● Ctrl + C: Copy selected text. ● Ctrl + X: Cut selected text. ● Ctrl + P: Open the print window. ● Ctrl + F: Open find box. ●Ctrl + I: Italic highlighted selection. ● Ctrl + K: Insert link (Shortcut Keys and their Functions). ● Ctrl + U: Underline highlighted selection. ● Ctrl + V: Paste. ● Ctrl + Y: Redo the last action performed. ● Ctrl + Z: Undo last action. ● Ctrl + L: Aligns the line or selected text to the left of the screen. ● Ctrl + E: Aligns the line or selected text to the center of the screen. ● Ctrl + R: Aligns the line or selected text to the right of the screen. ● Ctrl + M: Indent the paragraph. ● Ctrl + Shift + F: Change the font. ● Ctrl + Shift + >: Increase selected font +1pts up to 12pt and then increases font +2pts. ● Ctrl + ]: Increase selected font +1pts. ● Ctrl + Shift + <: Decrease selected font -1pts if 12pt or lower, if above 12 decreases font by +2pt. ● Ctrl + [: Decrease selected font -1pts. ● Ctrl + Shift + *: View or hide non printing characters. ● Ctrl + L: Moves one word to the left. ● Ctrl + R: Moves one word to the right. ● Ctrl + : Moves to the beginning of the line or paragraph. ● Ctrl + : Moves to the end of the paragraph. ● Ctrl + Del: Deletes word to right of cursor. ● Ctrl + Backspace: Deletes word to left of cursor. ● Ctrl + End: Moves the cursor to the end of the document. ● Ctrl + Home: Moves the cursor to the beginning of the document. ● Ctrl + Spacebar: Reset highlighted text to the default font. ● Ctrl + 1: Single-space lines. ● Ctrl + 2: Double-space lines. ● Ctrl + 5: 1.5-line spacing. ● Ctrl + Alt + 1: Changes text to heading 1. ● Ctrl + Alt + 2: Changes text to heading 2. ● Ctrl + Alt + 3: Changes text to heading 3. ● Alt + Shift + D: Insert the current date. ● Alt + Shift + T: Insert the current time. ◉ Alt + F: File menu options in current program. ◉ Alt + E: Edit options in current program. ◉ F1: Universal Help in almost every Windows program. ◉ Ctrl + A: Select all text. ◉ Ctrl + X: Cut ◉ Shift + Del: Cut selected item. ◉ Ctrl + C: Copy selected item. ◉ Ctrl + Ins: Copy selected item. ◉ Ctrl + V: Paste selected item. ◉ Shift + Ins: Paste. ◉ Home: Goes to beginning of current line. ◉ Ctrl + Home: Goes to beginning of document. ◉ End: Goes to end of current line. ◉ Ctrl + End: Goes to end of document. ◉ Shift + Home: Highlights from current position to beginning of line. ◉ Shift + End: Highlights from current position to end of line. ◉ Ctrl + Left arrow: Moves one word to the left at a time. ◉ Ctrl + Right arrow: Moves one word to the right at a time. Don't Forget To React ❤️!

Top 10 Python Libraries for Data Science 🐍 NumPy – Fast array operations and numerical computing 📊 Pandas – Data manipulation using DataFrames 📈 Matplotlib – Plotting and basic data visualization 🎨 Seaborn – Statistical plots built on Matplotlib 🧠 Scikit-learn – Machine learning models and tools 🤖 TensorFlow – Deep learning library by Google 🔥 PyTorch – Flexible deep learning by Facebook 📉 Statsmodels – Statistical tests and data exploration 🚀 XGBoost – Powerful boosting algorithm for structured data 🌐 Plotly – Interactive and web-ready visualizations React ❤️ for more

Top 10 Python Libraries for Data Science 🐍 NumPy – Fast array operations and numerical computing 📊 Pandas – Data manipulation using DataFrames 📈 Matplotlib – Plotting and basic data visualization 🎨 Seaborn – Statistical plots built on Matplotlib 🧠 Scikit-learn – Machine learning models and tools 🤖 TensorFlow – Deep learning library by Google 🔥 PyTorch – Flexible deep learning by Facebook 📉 Statsmodels – Statistical tests and data exploration 🚀 XGBoost – Powerful boosting algorithm for structured data 🌐 Plotly – Interactive and web-ready visualizations React ❤️ for more

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Git Commands 🛠 git init – Initialize a new Git repository 📥 git clone <repo> – Clone a repository 📊 git status – Check the status of your repository ➕ git add <file> – Add a file to the staging area 📝 git commit -m "message" – Commit changes with a message 🚀 git push – Push changes to a remote repository ⬇️ git pull – Fetch and merge changes from a remote repository Branching 📌 git branch – List all branches 🌱 git branch <name> – Create a new branch 🔄 git checkout <branch> – Switch to a branch 🔗 git merge <branch> – Merge a branch into the current branch ⚡️ git rebase <branch> – Apply commits on top of another branch Undo & Fix Mistakes ⏪ git reset --soft HEAD~1 – Undo the last commit but keep changes ❌ git reset --hard HEAD~1 – Undo the last commit and discard changes 🔄 git revert <commit> – Create a new commit that undoes a specific commit Logs & History 📖 git log – Show commit history 🌐 git log --oneline --graph --all – View commit history in a simple graph Stashing 📥 git stash – Save changes without committing 🎭 git stash pop – Apply stashed changes and remove them from stash Remote & Collaboration 🌍 git remote -v – View remote repositories 📡 git fetch – Fetch changes without merging 🕵️ git diff – Compare changes Don’t forget to react ❤️ if you’d like to see more content like this!

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This Python Data Type Cheatsheet provides a comparison of five key data structures: 1. String (str) Immutable (cannot be changed) Ordered and indexed Allows duplicate characters Example: my_str = "Hello" 2. List (list) Mutable (can be changed) Ordered and indexed Allows duplicate elements Example: my_list = ["Hello", "World"] Can store different data types 3. Tuple (tuple) Immutable Ordered and indexed Allows duplicates Example: my_tuple = ("Hello", "World") Can store different data types 4. Set (set) Mutable Unordered Does not allow duplicates Example: my_set = {"Hello", "World"} Can store int, str, tuple, but not list, set, or dict 5. Dictionary (dict) Mutable Unordered Does not allow duplicate keys Example: my_dict = {"greeting": "Hello", "salutation": "World"} Keys can be int, str, tuple, but not list, set, or dict Values can be any data type This cheatsheet helps in understanding the properties and use cases of each data type in Python.

The <input> tag in HTML is used to collect user input in web forms. Here are some key points about it: Versatile Usage – Supports multiple input types like text, password, number, email, date, etc. User Interaction – Enables users to enter or select data for forms. Customizable – Can include attributes like placeholder, required, disabled, and readonly to control behavior. Form Submission – Works with the <form> tag to send user data to a server. Validation Support – Helps validate input using attributes like maxlength, pattern, min, and max. Enhanced UX – Improves usability with features like auto-focus, default values, and autocomplete. For More Informative Contents. Don't Forget To React ❤️

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📍 Python Roadmap for Beginners |_ 🐍 Introduction to Python |_ 📦 Modules, Comments, & Pip |_ 🔢 Variables, Data Types, Keywords & Operators |_ 📊 Python Data Types in Detail |_ 🔁 Flow Control in Python |_ 🔄 Loops in Python |_ 📝 String Operations (Advanced) |_ 🏗 Functions in Python |_ 📂 File Handling in Python |_ 🏛 Object-Oriented Programming (OOP) |_ ⚠️ Exception Handling ]