Solidity Guide For Beginners

Ethereum is known for its wide use in blockchain programming. Especially Solidity is used to write most of the blockchain applications known for today. Here, I’ll help you to learn solidity effortlessly.

1-Learn JavaScript

Because you interact with the internet and the ethereum nodes at the same time, learning JavaScript becomes necessary to understand the data structures of solidity. Even more, ethereum nodes interact with nodeJS. Furthermore, solidity is written in JavaScript and it requires a basic understanding of JavaScript to work with the ethereum environment.

2-Look for courses (online/offline)

When I started learning solidity, my first course was face to face offered free because of my club’s connections. But I never stopped and decided to go further by purchasing a udemy course and looking for high-quality YouTube courses, you can level up your solidity skills by practicing. About offline courses, they can be really expensive for you to afford and online courses can allow you to look at the videos and ask questions lifetime.

3-Take notes and practice

Mentioned in my previous posts, taking notes by hand allows you not to forget easily when not practicing for a very long time. Even more, remembering the data structures can help you analyzing the codes even with the hugest projects imaginable. I managed to find most of the mistakes in my acceleration project in ethereum despite I was a beginner.

4-Setting up a text editor (optional)

You don’t have to if you prefer using remix IDE for projects. But you might need to consider certain text editors for the best results in programming on ethereum. But, they require you to download certain packages before starting to write your code on these text editors to compile solidity code on your computer.

#solidity-programming #solidity-tutorial #ethereum #solidity #javascript

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Solidity Guide For Beginners

Ethereum is known for its wide use in blockchain programming. Especially Solidity is used to write most of the blockchain applications known for today. Here, I’ll help you to learn solidity effortlessly.

1-Learn JavaScript

Because you interact with the internet and the ethereum nodes at the same time, learning JavaScript becomes necessary to understand the data structures of solidity. Even more, ethereum nodes interact with nodeJS. Furthermore, solidity is written in JavaScript and it requires a basic understanding of JavaScript to work with the ethereum environment.

2-Look for courses (online/offline)

When I started learning solidity, my first course was face to face offered free because of my club’s connections. But I never stopped and decided to go further by purchasing a udemy course and looking for high-quality YouTube courses, you can level up your solidity skills by practicing. About offline courses, they can be really expensive for you to afford and online courses can allow you to look at the videos and ask questions lifetime.

3-Take notes and practice

Mentioned in my previous posts, taking notes by hand allows you not to forget easily when not practicing for a very long time. Even more, remembering the data structures can help you analyzing the codes even with the hugest projects imaginable. I managed to find most of the mistakes in my acceleration project in ethereum despite I was a beginner.

4-Setting up a text editor (optional)

You don’t have to if you prefer using remix IDE for projects. But you might need to consider certain text editors for the best results in programming on ethereum. But, they require you to download certain packages before starting to write your code on these text editors to compile solidity code on your computer.

#solidity-programming #solidity-tutorial #ethereum #solidity #javascript

Beginners Guide to Machine Learning on GCP

Introduction to Machine Learning

• Machine Learning is a way to use some set of algorithms to derive predictive analytics from data. It is different than Business Intelligence and Data Analytics in a sense that In BI and Data analytics Businesses make decision based on historical data, but In case of Machine Learning , Businesses predict the future based on the historical data. Example, It’s a difference between what happened to the business vs what will happen to the business.Its like making BI much smarter and scalable so that it can predict future rather than just showing the state of the business.
• **ML is based on Standard algorithms which are used to create use case specific model based on the data **. For example we can build the model to predict delivery time of the food, or we can build the model to predict the Delinquency rate in Finance business , but to build these model algorithm might be similar but the training would be different.Model training requires tones of examples (data).
• Basically you train your standard algorithm with your Input data. So algorithms are always same but trained models are different based on use cases. Your trained model will be as good as your data.

ML, AI , Deep learning ? What is the difference?

ML is type of AI

AI is a discipline , Machine Learning is tool set to achieve AI. DL is type of ML when data is unstructured like image, speech , video etc.

Barrier to Entry Has Fallen

AI & ML was daunting and with high barrier to entry until cloud become more robust and natural AI platform. Entry barrier to AI & ML has fallen significantly due to

• Increasing availability in data (big data).
• Increase in sophistication in algorithm.
• And availability of hardware and software due to cloud computing.

GCP Machine Learning Spectrum

• For Data scientist and ML experts , TensorFlow on AI platform is more natural choice since they will build their own custom ML models.
• But for the users who are not experts will potentially use Cloud AutoML or Pre-trained ready to go model.
• In case of AutoML we can trained our custom model with Google taking care of much of the operational tasks.
• Pre-trained models are the one which are already trained with tones of data and ready to be used by users to predict on their test data.

Prebuilt ML Models (No ML Expertise Needed)

• As discuss earlier , GCP has lot of Prebuilt models that are ready to use to solve common ML task . Such as image classification, Sentiment analysis.
• Most of the businesses are having many unstructured data sources such as e-mail, logs, web pages, ppt, documents, chat, comments etc.( 90% or more as per various studies)
• Now to process these unstructured data in the form of text, we should use Cloud Natural Language API.
• Similarly For common ML problems in the form of speech, video, vision we should use respective Prebuilt models.

#ml-guide-on-gcp #ml-for-beginners-on-gcp #beginner-ml-guide-on-gcp #machine-learning #machine-learning-gcp #deep learning

What is Bitcoin Cash? - A Beginner’s Guide

Bitcoin Cash was created as a result of a hard fork in the Bitcoin network. The Bitcoin Cash network supports a larger block size than Bitcoin (currently 32mb as opposed to Bitcoin’s 1mb).

Later on, Bitcoin Cash forked into Bitcoin SV due to differences in how to carry on its developments.

That’s Bitcoin Cash in a nutshell. If you want a more detailed review watch the complete video. Here’s what I’ll cover:

0:50 - Bitcoin forks
2:06 - Bitcoin’s block size debate
3:35 - Big blocks camp
4:26 - Small blocks camp
5:16 - Small blocks vs. big blocks arguments
7:05 - How decisions are made in the Bitcoin network
10:14 - Block size debate resolution
11:06 - Bitcoin cash intro
11:28 - BTC vs. BCH
12:13 - Bitcoin Cash (ABC) vs. Bitcoin SV
13:09 - Conclusion
📺 The video in this post was made by 99Bitcoins
The origin of the article: https://www.youtube.com/watch?v=ONhbb4YVRLM
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
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#bitcoin #blockchain #bitcoin cash #what is bitcoin cash? - a beginner’s guide #what is bitcoin cash #a beginner’s guide

A Beginner’s Guide to Setting Up a Web Application with Typescript and Express

Web applications are types of software applications that run on remote servers (source). Examples of web applications can range from word processors, to file scanners, video editing tools, shopping carts, and more. Web applications can be great additions to any website; they can even function as websites themselves (Facebook, Gmail, and Udacity’s classroom are all examples of popular web applications), so understanding how to set up and implement a web application is a fantastic skill to have.

For this guide, I am assuming that you already have a basic knowledge of npm, node and whatExpress Requests and Responses are (or that you at least know what they are used for in their basic sense). Also, I assume that you know what the npm install and mkdir commands do. You have to know basic Typescript to implement — or at least know basic JavaScript to read and understand — the code below. Finally, this is the base for the backend of a web application. You still need to create a frontend application using a framework like Angular or an HTML/CSS file to make requests and display responses.

Before you start, it’s important that you create a folder in your favorite place on your computer. This can be anywhere as long as you have a sense of how you are going to find it later when you come up with an awesome project to start developing.

The Process:

#web-development #backend #software-development #beginners-guide #beginner

The Ultimate SQL Guide for Beginners in 2020.

SQL is a standard language for storing, manipulating, and retrieving data in databases. In this article, I’ll teach you the very basic fundamentals of the SQL language and hope you will be able to write your own database queries at the end.

What does SQL Mean?

SQL stands for Structured Query Language and lets you access and manipulate databases.

Syntax

Most of the actions you need to perform on a database are done with SQL statements. The following SQL statement selects all the records in the “Users” table:

SELECT * FROM Users;

Select

The select statement is used to retrieve data from a database. The requested data is returned in a results table.

SELECT column1 FROM table_name;

Select Distinct

The Select Distinct statement is used to return only distinct (different) values.

SELECT DISTINCT * FROM table_name;

Count

The following SQL statement lists the number of different customer countries:

SELECT COUNT(DISTINCT Country) FROM Customers;

Where

The Where clause is used to filter records.

SELECT column1
FROM table_name
WHERE condition;

For example:

SELECT * FROM Users
WHERE Country='Netherlands';

AND, OR and NOT Operators

The Where clause can be combined with AND, OR, and NOT operators. The AND and OR operators are used to filter records based on more than one condition:

• The AND operator displays a record if all the conditions separated by AND are TRUE.
• The OR operator displays a record if any of the conditions separated by OR is TRUE.

The NOT operator displays a record if the condition(s) is NOT TRUE.

AND

SELECT column1, column2, ...
FROM table_name
WHERE condition1 AND condition2 AND condition3 ...;

OR

SELECT column1, column2, ...
FROM table_name
WHERE condition1 OR condition2 OR condition3 ...;

NOT

SELECT column1, column2, ...
FROM table_name
WHERE NOT condition;

#tech #guides-and-tutorials #sql #beginners-guide #programming