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Sep 7 • 16 tweets • 11 min read
Python is MUST in 2025.
This is how to START and MASTER it in 1 year:
0. Preliminary Steps
Before deciding to start, 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).
P.S: This is my personal roadmap. I could spend 1 to 2 hours daily for learning and practicing during 2020. And it took me ~1 year to finish logically. It may differ from person to person.
Sep 4 • 8 tweets • 4 min read
Stanford's Courses on AI & ML (FREE):
❯ CS221 - Artificial Intelligence
❯ CS229 - Machine Learning
❯ CS230 - Deep Learning
❯ CS234 - Reinforcement Learning
❯ CS229M - ML Theory
❯ CS224U - NL Understanding
❯ CS224N - NLP with Deep Learning
All links inside:
1. CS221 - Artificial Intelligence
❍ C/C++
❍ Java
❍ Python
❍ JavaScript
Or, any language of your choice
Stay in the TOP 5% of programmers!!!
Modern Dev Team relies on coding agents for simple to complex algorithms. But context isn't shared among developers.
ByteRover acts as a central memory layer. Cipher is its open source memory layer.
Advantages
• Easily share coding memories across your team in real-time.
• Coding memories are generated automatically that scales well.
• No hard-dependency on any IDE. Easily switch between different IDEs.
• Install on any IDE with zero configurations.
Aug 9 • 10 tweets • 13 min read
Best skills to build in 2025: AI & ML
A complete step-by-step roadmap w/ all free resources: 1. Python
Time: 1 month
Focus on Python programming and basic data structures.
This is how to START and be an EXPERT in 1 year:
0. Preliminary Steps
Before deciding to start, 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).
P.S: This is my personal roadmap. I could spend 1 to 2 hours daily for learning and practicing. And it took me ~1 year to finish. It may differ from person to person.
Jul 30 • 8 tweets • 7 min read
MIT's FREE Courses on Mathematics:
❯ 18.01 : Single Variable Calculus
❯ 18.02 : Multivariable Calculus
❯ 18.06 : Linear Algebra
❯ 18.05 : Probability and Statistics
❯ 6.042J : Mathematics for Comp Sc
❯ 18.404J : Automata Theory
Course links inside:
1. 18.01 - Single Variable Calculus
A roadmap for Absolute Beginners:
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
Jul 18 • 8 tweets • 7 min read
MIT's FREE Courses on AI & ML:
❯ 6.036 : Machine Learning
❯ 6.S191 : Deep Learning
❯ 6.034 : Artificial Intelligence
❯ 18.05 : Probability and Statistics
❯ 18.06 : Linear Algebra
❯ 18.S096 : Matrix Calculus
This is how you can be an EXPERT in 1 year:
0. Preliminary Steps
Before deciding to start, 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).
P.S: This is my personal roadmap. I could spend 1 to 2 hours daily for learning and practicing. And it took me ~1 year to finish. It may differ from person to person.
Jul 1 • 19 tweets • 3 min read
👩💻 Practice these 150+ Algorithms in
❍ C/C++
❍ Java
❍ Python
❍ JavaScript
Or, any language of your choice
Stay in top 5% of programmers.
➊ 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
Jun 27 • 12 tweets • 7 min read
FREE FREE FREE
11 Python Books, Absolutely FREE 1. Machine Learning with Python