FREE FREE FREE

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1. The Linux Command Line

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9 FREE Books on AI, ML & DL:


1. Foundations of Machine Learning

- A classic book for beginners in ML
- Published by MIT

🎄 cs.nyu.edu/~mohri/mlbook/

I am a JavaScript Developer since 2005.

If I plan it to learn in 2025, I should do this: ➊ Fundamentals

Effort: 1 to 2 hours per day
Time: 2 weeks

➀ JavaScript Engine
➁ JavaScript Runtime
➂ Execution Context
➃ Hoisting
➄ Call Stack
➅ Event Loop
➆ Callback Queue

7 FREE Programming Books from O'Reilly

- Python
- Java
- JavaScript
- C++
- C#
- R
- Rust


1. Think Python

❯ v2 (PDF)
greenteapress.com/thinkpython2/t…

❯ v3 (HTML)
allendowney.github.io/ThinkPython/

12 FREE Books on
- Kubernetes
- Docker
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1. Kubernetes Operators

Publisher: O'Reilly

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MDN - FREE, but no FREE Certificates
W3Schools - FREE, but no FREE Certificates

Here are the best 11 alternatives: 1. freeCodeCamp

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❯ Frontend, Backend, Database
❯ Data Analysis
❯ Machine Learning
❯ JavaScript, Python, C#, SQL

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I have been working in SQL since 2004.

If I were to start over today, here is a roadmap: Beginner
⭣ Learn fundamentals ➊
⭣ Working with table ➋
⭣ Working with data ➌
⭣ Querying the data ➍
⭣ Operators ➎
⭣ Functions ➏
⭣ Database objects ➐
⭣ Programming in SQL ➑
⭣ Users and Roles ➒
⭣ Advanced Concepts ➓
Pro

10 FREE JavaScript Books on this New Year's Eve 🎉


1. Exploring JavaScript

It's a fresh 2024 edition.

❯ HTML
exploringjs.com/js/book/index.…

❯ PDF
exploringjs.com/js/downloads/e…

10 Python Books for FREE on this Christmas Eve 🎄


1. Think Python

Get the PDF copy for FREE.

🎄 greenteapress.com/thinkpython2/t…

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11 FREE Books on DSA using Java, Python, and C++:


1. Think Data Structures

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4 Python Books for Data Science


1. Python Data Science Handbook

Publisher: O'Reilly

🔗 HTML: jakevdp.github.io/PythonDataScie…

🔗 PDF:
github.com/terencetachion…

If you are planning to learn DSA in 2025, do this: Step-by-Step Approach

🄌 Learn One Programming Language
↓
➊ Fundamentals → Time & Space Complexity
↓
➋ Brute Force Algorithms
↓
➌ Basic Data Structures → Array, Linked List
↓
➍ Simple Search Algorithm
↓
➎ Sorting Techniques → Bubble, Selection, Insertion
↓
➏ Slightly Complex Algorithms → Recursion, DnC
↓
➐ Complex Data Structures → Stack, Queue, Tree
↓
➑ Binary Search Technique
↓
➒ Important Sorting Techniques → Merge, Quick
↓
➓ Advanced Data Structures → Heap, Graph
↓
➊➊ More Sorting Techniques
↓
➊➋ Complex Algorithms → Greedy, DP, Backtracking
↓
➊➌ Common Coding Patterns

Let's go in detail.

I am working in JavaScript since 2005.

If you plan to learn it in 2025, do this: ➊ Fundamentals

➀ JavaScript Engine
➁ JavaScript Runtime
➂ Execution Context
➃ Hoisting
➄ Call Stack
➅ Event Loop
➆ Callback Queue

I have been working in SQL since 2004.

If I have to start learning it in 2025, I'll do this: Beginner
⭣ Learn fundamentals ➊
⭣ Working with table ➋
⭣ Working with data ➌
⭣ Querying the data ➍
⭣ Operators ➎
⭣ Functions ➏
⭣ Database objects ➐
⭣ Programming in SQL ➑
⭣ Users and Roles ➒
⭣ Advanced Concepts ➓
Pro

11 FREE Python Books

1. Think Python
🔗 greenteapress.com/thinkpython2/t… 2. Cracking Codes with Python

You can read it online or request for a free preview ebook.

🔗 inventwithpython.com/cracking/

I am a Java Developer since 2005.

If I am to start learning Java in 2025, I'll do this: ➊ Introduction

Effort: 1 to 2 hours daily + Normal practice
Time: 2 weeks

✧ Overview of Java
✧ Setting up [JDK, JRE, IDE]
✧ Basic Syntax and Structure
✧ Primitive Data Types
✧ Variables and Constants
✧ Operators

How in JavaScript,

[ ] == [ ] ➔ false
but,
[ ] == ![ ] ➔ true

Let's investigate 🔎 ➊ What is [ ]?

⬘ [ ] is an array literal.

⬗ [ ] creates an empty array object.

⬙ Each time we use [ ], a new array object is created.

⬖ Hence, each time you find a [ ], it references different objects in memory.

🎢 Sorting Algorithms, explained

❯ 10 algorithms
❯ Time & Space Complexities

A Beginner's Guide. ➊ Bubble Sort
➋ Insertion Sort
➌ Selection Sort
➍ Merge Sort
➎ Quick Sort
➏ Counting Sort
➐ Radix Sort
➑ Bucket Sort
➒ Heap Sort
➓ Shell Sort

If your goal is to be a Python expert in 2025, this thread is for you: Preliminary Steps

Before proceeding, ensure you do these

⬩Know your final goal
⬩Set a target for spending daily 1 hour minimum.
⬩Research about Python ecosystem (libraries, frameworks, code editors).

Remember, it's a marathon; not a sprint.

DSA is a key skill for Developers.

Crack interviews by mastering these 12 key topics. ➊ Fundamentals

➀ What is an algorithm
➁ Types of algorithms

➂ Asymptotic Notations
➃ Time & Space Complexity

➄ What is a data structure
➅ Linearity & Contiguity
➆ Fundamental Operations

https://x.com/swapnakpanda/status/1655550811919859717

👩‍💻 125+ algorithms to crack any interview

Practice these in
❍ C / C++
❍ Java
❍ Python
❍ JavaScript
❍ Golang
Or, any language of your choice ➊ Algorithms on Arrays

➀ Creating an Array
➁ Iterate through Array
➂ Get an Element
➃ Search an Element
➄ Insert Element(s)
➅ Delete Element(s)
➆ Filter an Array
➇ Fetch a Sub-Array
➈ Merging Arrays
➉ Reverse Array
➀➀ Rotate Array