Ralph Abbrac'x

web developer with Python, Django, Node, Typescript, React
Blockchain enthusiast, sysAdmin.

[Toby @TomolaGroup]

If you intend to buy shares in the Dangote Refinery IPO, bookmark this.

The worst time to start preparing for Africa’s biggest IPO is the day the offer opens.

Here is what to do:

STEP 1 — Get your account ready

@ZedcrestWealth Securities is one of the joint stockbrokers on the IPO.

Register here:

https://t.co/fT7NFOKwmx

Complete your KYC and confirm that your CSCS account is active. Starting early gives you time to resolve any verification issues before the offer opens.

STEP 2 — Decide how much you can afford

Do not use your rent, emergency fund or borrowed money.

An IPO is still an investment. The share price can rise or fall after listing.

Set your maximum amount before excitement takes over.

STEP 3 — Read the prospectus

The reported offer is 4.1 billion shares at ₦525 each, which could raise about ₦2.15 trillion.

But ₦525 is only a price. It does not tell you whether the shares are cheap or expensive.

Read the prospectus and examine:

• Revenue and profit
• Operating cash flow
• Debt obligations
• Expansion costs
• Crude supply arrangements
• Dividend policy
• Use of the IPO proceeds
• Major risks

Do not let a household name do your due diligence for you.

STEP 4 — Pay attention to the valuation

The SEC reportedly registered 120.13 billion existing shares alongside the 4.1 billion-share offer.

That would give approximately 124.23 billion shares after the offer.

124.23 billion × ₦525 = roughly ₦65.2 trillion.

That is the valuation investors must examine against the refinery’s earnings, cash flow, debt and growth prospects.

A great company can still be a poor investment if you pay too much for it.

STEP 5 — Apply through the official channel

The order book is reportedly expected to open on September 14, but confirm the date and full terms in the official offer documents.

Once the offer is live, you can apply through @ZedcrestWealth .

Applying early can help you avoid last-minute KYC or payment problems. It does not guarantee preferential allocation. The allotment rules in the prospectus will determine what every applicant receives.

STEP 6 — Prepare for any outcome

If demand exceeds the available shares, your application may be scaled down and the balance refunded according to the offer terms.

After listing, the share price may rise or fall. An IPO price is not a guaranteed floor.

The name is Dangote. Your return will still come from the numbers.

By the time the offer opens, there will be people chasing the excitement and people who have already done the work.

Be in the second group.

Bookmark this and share it with anyone planning to participate.

This is financial education, not a recommendation to buy.

[🥇 @Cordreal10]

A guy called 10 different Nigerian babe and ask them if they had eaten and none of them had until he called a non Nigerian babe 😂😂😂😂

+234 babe better get a job 😂😂😂😂

[Ralph Abbrac'x @abbrac_x]

@E__Umoh @Wakaholic_nurse I understand the corporate mentality,
My first instinct is to address you as Mr. irrespective of the policy, given you are my boss.

[Ralph Abbrac'x @abbrac_x]

@E__Umoh @Wakaholic_nurse Address him as Mr. What ever.
He should refute.

[Ralph Abbrac'x @abbrac_x]

@E__Umoh @Wakaholic_nurse Thou shalt rise up before the hoary head, and honour the face of the old man, and fear thy God: I am the LORD.

[Ralph Abbrac'x @abbrac_x]

@BarcaZoneHub

[Samosky Dev @samsonajulor]

Best advice I received all week!

[Morty @0xMortyx]

Anthropic Engineer Andrej Karpathy dropped a full 6-hour course on how to build LLMs from scratch and use it:

• 00:00 - Deep dive into LLMs
• 03:31:23 - Building ChatGPT from scratch
• 05:27:43 - How to use LLMs (Karpathy method)

This course can replace a $150K Stanford LLM senior degree.

Start watching today, then read article below

[Krishna Agrawal @Krishnasagrawal]

INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.

This 60-minute Cambridge lecture by Demis Hassabis will teach you more about the future of AI than most people will learn in the next 5 years.

Bookmark it and give it an hour, no matter what.

[Ralph Abbrac'x @abbrac_x]

What Adulthood took from us

[Ralph Abbrac'x @abbrac_x]

@kkmksaa @WinnaFC It was their own standards, their own rules, their own critique.
Messi conquered it all, now it does not matter.
Very delusional

[Morenikeji @adebisidejoke]

Dear UEFA, @ChampionsLeague
I am just trying to understand the rules at this point… Same foul, different outcomes… are we missing a page in the rulebook or are we just wearing the wrong badge?

Because it’s becoming a pattern at this point. When it’s against us, it’s waved off instantly; no second look, no VAR check, nothing. But in other games, similar incidents are reviewed and given without hesitation.

So we have to ask what exactly is the standard here? And more importantly, does that standard apply equally to everyone?

At this point, it’s only fair to wonder… is there something we’re not being told? Is there an agenda against Barça, or is there a reason these decisions consistently go the same way?
We’re not even asking for favors, just transparency, consistency, and the same level of scrutiny every other team seems to get.

Are we asking for too much???💔

[AI_Explorer @ai_explorer25]

Learn Coding by playing games

1. Kubernetes
https://t.co/asmX2e63Va

2. DevOps
https://t.co/5d9UZmCLKm

3. Linux
https://t.co/5lykebIy4w

4. Git
https://t.co/ffznxkA17X

5. Python
https://t.co/2nprnaayRU

6. CSS & HTML
https://t.co/1hOf8oa8Kk

7. Cybersecurity
https://t.co/kD2US36n4R

8. Mobile Coding (like Duolingo)
https://t.co/aXsdDAR7PR

9. For Complete Beginners
https://t.co/XoxpHQwCZM

10. 25+ Programming Languages
https://t.co/c5uulSTTeW

[Ralph Abbrac'x @abbrac_x]

Halland

[𝕮𝖍𝖎𝖑𝖑𝖎𝖓 @damzy_chillin]

Guess the player

Honestly you can’t !👀

[baba yaga @babayagatwt]

Master Python

PYTHON MASTER TREE
├── 1. Python Fundamentals
│ ├── What is Python
│ ├── Installation & Environment
│ ├── Python Interpreter (CPython)
│ ├── REPL / Script Execution
│ └── PEP8 Coding Style
│
├── 2. Syntax & Basics
│ ├── Indentation
│ ├── Comments
│ ├── Identifiers
│ ├── Keywords
│ └── Naming Conventions
│
├── 3. Variables & Data Types
│ ├── Dynamic Typing
│ ├── Type Checking (type, isinstance)
│ ├── Numeric
│ │ ├── int
│ │ ├── float
│ │ ├── complex
│ │ └── bool
│ ├── Sequence
│ │ ├── str
│ │ ├── list
│ │ ├── tuple
│ │ └── range
│ ├── Set
│ │ ├── set
│ │ └── frozenset
│ ├── Mapping
│ │ └── dict
│ └── NoneType
│
├── 4. Operators
│ ├── Arithmetic
│ ├── Comparison
│ ├── Logical
│ ├── Bitwise
│ ├── Assignment
│ ├── Identity (is)
│ └── Membership (in)
├── 5. Control Flow
│ ├── if / elif / else
│ ├── match-case
│ ├── for loop
│ ├── while loop
│ ├── break / continue / pass
│ └── assert
├── 6. Functions
│ ├── def
│ ├── Parameters
│ │ ├── positional
│ │ ├── keyword
│ │ ├── default
│ │ ├── *args
│ │ └── **kwargs
│ ├── return
│ ├── lambda
│ ├── recursion
│ ├── docstrings
│ └── type hints
├── 7. Modules & Packages
│ ├── import / from
│ ├── __name__ == "__main__"
│ ├── Creating Modules
│ ├── Packages (__init__)
│ └── Virtual Environments (venv, pip)
│
├── 8. OOP
│ ├── Class & Object
│ ├── __init__
│ ├── Instance vs Class Variables
│ ├── Instance / Class / Static Methods
│ ├── Encapsulation
│ ├── Inheritance
│ ├── Multiple Inheritance
│ ├── Method Overriding
│ ├── Polymorphism
│ ├── Abstraction (ABC)
│ └── Magic / Dunder Methods
├── 9. Data Structures
│ ├── List
│ │ ├── append
│ │ ├── extend
│ │ ├── insert
│ │ ├── remove
│ │ └── pop
│ ├── Tuple
│ ├── Set
│ │ ├── union
│ │ ├── intersection
│ │ └── difference
│ └── Dictionary
│ ├── keys
│ ├── values
│ └── items
├── 10. Comprehensions
│ ├── List comprehension
│ ├── Dict comprehension
│ ├── Set comprehension
│ └── Generator expressions
├── 11. Iterators & Generators
│ ├── Iterator protocol
│ ├── __iter__ / __next__
│ ├── yield
│ └── itertools module
├── 12. Exception Handling
│ ├── try
│ ├── except
│ ├── else
│ ├── finally
│ ├── raise
│ └── Custom Exceptions
├── 13. File Handling
│ ├── open modes
│ ├── read / write / append
│ ├── with context manager
│ ├── JSON
│ ├── CSV
│ └── Pickle
├── 14. Decorators & Context
│ ├── Function decorators
│ ├── Class decorators
│ ├── functools.wraps
│ └── contextlib
├── 15. Concurrency
│ ├── threading
│ ├── multiprocessing
│ ├── concurrent.futures
│ ├── asyncio
│ └── async / await
├── 16. Debugging & Testing
│ ├── logging
│ ├── pdb
│ ├── unittest
│ ├── pytest
│ └── profiling (cProfile)
├── 17. Memory & Internals
│ ├── Bytecode (.pyc)
│ ├── Python VM
│ ├── Reference counting
│ ├── Garbage collection
│ └── GIL
├── 18. Ecosystem
│ ├── Web (Django, Flask, FastAPI)
│ ├── Data (NumPy, Pandas)
│ ├── ML (TensorFlow, PyTorch)
│ ├── Automation (Selenium, BeautifulSoup)
│ └── APIs (Requests)
└── 19. Advanced Topics
├── Metaclasses
├── Async programming
├── C extensions / Cython
├── Performance optimization
└── Packaging & PyPI

[Swapna Kumar Panda @swapnakpanda]

System Design becomes EASY when you follow these:

1. Fundamentals
https://t.co/IDGW3De1EA

2. API Design
https://t.co/AUx3IzQkir

3. Load Balancing
https://t.co/KlhVjDQyy6

4. Message Queues
https://t.co/UiFwA4ZB56

5. Rate Limiting
https://t.co/s6vyKcgnZE

6. Caching
https://t.co/E73QXGlNDV

7. Sharding & Partitioning
https://t.co/ZsLV5rVcrz

8. Database Replication
https://t.co/dtEvSPXrB8

9. Consistent Hashing
https://t.co/Oy1BUf23xe

10. CAP Theorem
https://t.co/jFfObbFc39

11. Microservices
https://t.co/nYizg4BLrA

12. Fault Tolerance
https://t.co/HpLji5RTod

13. Scalability
https://t.co/uovZHvzSBf

14. Event-Driven Architecture
https://t.co/cAkbLpPfqd

15. Service Discovery
https://t.co/tdjRfah2re

[Fernando @Franc0Fernand0]

Awesome CTO

A great github repo full of resources for software engineers and aspiring CTOs:

- Software Development Processes
- Hiring for technical roles
- Software Architecture
- Product and Project Management
- Career growth

Check it here:

https://t.co/2l1aCAqv2c

[Khushabu Agrawal @khushabu_27]

FREE Data Science Courses w/ Certificates

❯ Python
https://t.co/vq2VMVnP91

❯ SQL
https://t.co/6A4Unvj2hy…

❯ Data Analysis
https://t.co/CSLIvjP8Nb…

❯ PowerBI
https://t.co/q6zRPmp1GS…

❯ Excel
https://t.co/0fSDVuhOma…

❯ Tableau
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❯ R
https://t.co/gy0gC4YBae…

❯ Data Cleaning
https://t.co/1Izx08614W…

❯ Data Visualization
https://t.co/j2S1O2jlHi…

❯ Mathematics & Statistics
https://t.co/imgU0Ye7Ev

❯ Probability
https://t.co/gy0gC4YBae…

❯ Machine Learning
https://t.co/7blWGmBSb0…

❯ Deep Learning
https://t.co/gNNj1cdISd…

[Ralph Abbrac'x @abbrac_x]

https://t.co/KqvTTRE2ld

[JEY🥇 @Mmonkoaa]

who did this??😭😭