Icodes.tech coding blog

The best note-taking software for programmers

2021-10-25T00:00:00+01:00

The best note-taking software for programmers

The programmer's note-taking software should meet the following conditions.

(1) Cross-platform, supports desktop computers (Windows, Mac, Linux) and mobile phones (Android, iOS) at the same time.
(2) Synchronize at any time, open any machine, you can continue writing from the previous job.
(3) Real-time storage, if the software is suddenly closed, the content will not be lost.
(4) Support Markdown format, which is convenient for direct release later.
(5) Support push to remote Git warehouse, generate historical version, and serve as remote backup at the same time.

I have been looking for tools that meet these conditions, but most note-taking software on the market does not support the above point 5. Git integration is either not available or very weak.

I have used Stackedit.io and HackMD.io , but they are not ideal.

Recently, I finally found the best solution, which is github.dev officially launched by GitHub .

As long as you visit the following URL, you can use VS Code to edit the specified repository in your browser. You can click here to experience it.

It is actually the web version of the VS Code editor and is highly integrated with Git. With this combination, what other note-taking software would be stronger than it!

To use it, first create a note repository on GitHub, either publicly or privately. Then use github.dev to edit, and then push back to the warehouse. When changing to another machine, first get the latest version of the document from the warehouse, which is simply the perfect solution.

Even better, GitHub provides a quick entry. Open the GitHub repository homepage, click the decimal point ( .) button, the page will automatically jump to the VS Code editing environment, which is really convenient.

In addition, there is an unofficial github1s.com that also provides similar functions. Just add "1s" to the warehouse domain name. But after all, it is an unofficial tool, so it is not recommended here.

github.dev is aimed at the desktop "keyboard + mouse" environment. The touch screen of the mobile phone can be used, but it is clumsy after all.

If you prefer to use the native mobile app, I recommend Obsidian . It has a full-platform client, and you can refer to this article to set up Git integration.

In addition, FSNotes is also good, but unfortunately it only supports Apple devices.

If you don't need Git integration and Markdown support, it is the easiest. The official note-taking apps of several major software giants are very easy to use: Google keep , Apple Notes (only Apple devices are supported), and Microsoft OneNote .

They are all automatic multi-terminal synchronization, the disadvantage is that it is not convenient to write large documents, and it is troublesome to export data.

Python Binary search explained with examples

2021-09-29T00:00:00+01:00

What is Binary search

Binary search is another fairly intuitive way of searching for things. It's a very efficient algorithm.It's a logarithmic algorithm and it's intuitive if you imagine you were searching through an actual physical dictionary.

Binary Search relies upon the list that you're searching to be sorted.Just like a dictionary is sorted.

How Binary search works

Real life example

So imagine you had a dictionary in front of you and you wanted to search for the word "ostrich". You wouldn't start at page one of the dictionary and then go to page 2 and then page 3 and then page 4.

You'd turn to sort of somewhere in the middle and then you'd be able to discard all of the letters to the left all of the pages to the left as you turn to them to the middle and then you'd be able to get another section sort of somewhere halfway between the stack that you have your breath you cut that in half and you'd get that page and then if the O's were on that side you'd keep hold of the bit in your left hand or if they were you'd keep hold of the bit in your right hand and you'd keep repeating that process until you found the word that you were looking for.

Binary search algorithm

a binary search does something very similar. So it relies on having a sorted list so you have this list. Let's say it's 1024 items long. And what you do with binary search is you go to the middle item of this sorted list and if that's the item you're looking for then that's it.The search is over.

if the item is not the item you're looking for but is higher than the item that you're looking for in value in numerical value or in the latter value depending what it is that you're searching for. Then you can say well the item that I'm looking for must be in the left part of the list because I know these are in the correct order they're sorted.

So if I've landed on the midpoint of this list and I'm the item I land on is higher in value than the item I'm looking for.I can get rid of all of the items to the right of me to the to the right of the item that I've landed on because I know that they are also going to be too high. And then you repeat that process.

But in doing that first step you get rid of half of the items that you're searching through so your list of 1024 items is now 512 items and then you repeat that process.

But the bit of the list that you've got left you go to the midpoint of your sorted list and you determine whether that's the item you're looking for. If it's not you ask whether it's higher or lower than the item you're looking for.

If it's higher than you get rid of all the items that are to the right all the items that are higher than the item you're on. And if it's lower you get rid of all of the items in the other direction. so you've just halved your search again You've halved the number of items that you have to search through again.

So now we're down to 256 and then you keep repeating this process the next time you do it you're down to 128 items and then you're down to 64 items and then 32 items and then 16 and then 8 then for them too until eventually you you reach the item that you're looking for . it's the only item that's left.

You keep repeating that process until you find the item you're looking for. And by doing so each time you're cutting the number of items that you'd have to search through by half. So each time the length of the list is halving and then halving and then halving and then halving again until it gets down to just one item which is either the item you're looking for or it's not the item it doesn't exist.

Binary search in Python

And so you can see it's a very efficient searching algorithm but it does rely on the list being sorted. So anyway we're going to code a binary search in Python now binary search algorithm so you can see exactly how it works right. Binary search then. So we have our holding function here.

def binary_search(item,my_list):
    pass

So we have a function called binary search it also like linear search takes the item that you're looking for and the name of the list .We need to know whether we found the item we're looking for.

So to begin with we haven't found it. we'll set it to False but that will change if we find what we're looking for. And we also need to keep track of the first item in the list. And the last item in the list. Mainly so that we can calculate the midpoint of the list because we are going to move to the midpoint of the list as we go through and carry out our binary search.

So if we create a variable and call it first and set that to zero and then we create a variable and we call that last and we set that variable to the last item in the list. Now that's going to be the length of the list which is my list minus 1 because of the zero indexing that we have in Python.

def binary_search(item,my_list):
    found=False
    first=0
    last=len(my_list)-1

And then we're going to create a loop that will keep us searching until we've either found what we're looking for or we've exhausted all the search options and we haven't returned anything at all. We haven't found the item we're looking for.

And so what would the condition be for that. Well we want to search while certain conditions are met. So it would be a while loop that we're using and the conditions that we need to ensure are true that :

we need the first item to be less than or equal to the last item. So that is as our list gets shorter because we keep dividing it in two. We need to make sure that the first and last are in the right order because they're eventually going to converge to one value. And so that's why we need that.
we need found to be false because we don't want to continue our search. If we found what we're looking for.

So those are the conditions and then we now need to calculate what our midpoint will be because we're going to be moving to our midpoint. And so the midpoint is just equal to the first place And the last place divided by two but we'll do floor division because we don't want a decimal point because we can't have a decimal point for an index. So if we do floor division there that will give us our midpoint and it will give us our midpoint every time as this list gets shorter and shorter as we iterate through the search.

def binary_search(item,my_list):
    found=False
    first=0
    last=len(my_list)-1
    while first <=last and found==False:
        midpoint=(first+last)//2

Now the first thing we need to check is if the item at the midpoint is the item we're looking for then we found our item.So we need to make sure that we account for that. So if the midpoint equals the item I'm looking for then job done. I found what I'm looking for and found equals true.

if my_list[midpoint]==item:
    found=True

But if it doesn't we need to either look on the left hand side or on the right hand side and the conditions for that are.

if the value at the midpoint is less than the item that we're looking for then the new list starts on the right hand side. It starts at the next point up so we can say that first now equals the midpoint plus 1. And similarly in sort of reverse logic if you like otherwise the last item is equal to the midpoint minus what's minus 1. Because we're then concerned with just the items on the left hand side if midpoint is higher than the item that we're looking for because remember we have a sorted list here.

if my_list[midpoint]==item:
    found=True
else:
    if my_list[midpoint]<item:
        first=midpoint+1
    else:
        last=midpoint-1

So we know that to be true. And that said we just keep iterating through that until we find or don't find the item we're looking for. And when we get to the end of the search we return found and that will let us know whether or not we found the item we're looking for.

def binary_search(item,my_list):
    found=False
    first=0
    last=len(my_list)-1
    while first <=last and found==False:
        midpoint=(first+last)//2
        if my_list[midpoint]==item:
            found=True
        else:
            if my_list[midpoint]<item:
                first=midpoint+1
            else:
                last=midpoint-1
    return found

Testing our python binary search function

We will test the code on three lists

list1=[1,2,4,5,8,9,11,22,23,28,32]
list2=[99,298,300,587]
list3=[-9,-2,6,33]
print(binary_search(22,list1))
print(binary_search(7,list1))
print(binary_search(300,list2))
print(binary_search(-2,list3))

Output

True
False
True
True

Conclusion

That's how you implement binary search in Python. And I would definitely urge you to practice that and keep keep thinking about it and keep coding it and keep writing that code until you've really got it fixed in your mind how it works and then you can almost write the code with your eyes closed and follow the logic each time. And that will really help that understanding of how binary search works and it'll just become second nature to you.

Python TicTacToe Game

2021-09-18T00:00:00+01:00

This is a code of python game TicTacToe it is so hard because the computer check for all next moves then chose the right one.

I won the game after 9 tries .

Python TicTacToe Source Code

import os
board=[' ' for x in range(10)]


def insertBoard(letter, pos):
    board[pos]=letter

def spaceIsFree(pos):
    return board[pos]==' '
def isWinner(bo, le):
        return ((bo[7] == le and bo[8] == le and bo[9] == le) or # across the top
    (bo[4] == le and bo[5] == le and bo[6] == le) or # across the middle
    (bo[1] == le and bo[2] == le and bo[3] == le) or # across the bottom
    (bo[7] == le and bo[4] == le and bo[1] == le) or # down the left side
    (bo[8] == le and bo[5] == le and bo[2] == le) or # down the middle
    (bo[9] == le and bo[6] == le and bo[3] == le) or # down the right side
    (bo[7] == le and bo[5] == le and bo[3] == le) or # diagonal
    (bo[9] == le and bo[5] == le and bo[1] == le)) # diagonal
def playerMove():
    run=True
    while run:
        move=input(' enter place 1-9 : ')
        try:
            move=int(move)
            if move>0 and move < 10:
                if spaceIsFree(move):
                    run=False
                    insertBoard('X',move)
                else:
                    print('this place occuped !')
            else:
                print('type number with the range 1-9')
        except:
            print('enter valid numb! ')
def selectRandom(li):
    import random
    ln= len(li)
    r=random.randrange(0, ln)
    return li[r]
def compMove():
    possibleMoves=[x for x, letter in enumerate(board) if letter== ' ' and x !=0]
    move=0
    for let in  ['O', 'X']:
        for i in possibleMoves:
            boardcopy=board[:]
            boardcopy[i]=let
            if isWinner(boardcopy, let):
                move=i
                return move
    cornersOpen=[]
    for i in possibleMoves:
        if i in [1,3,7,9]:
            cornersOpen.append(i)
    if len(cornersOpen)>0:
        move=selectRandom(cornersOpen)
        return move
    if 5 in possibleMoves:
        move=5
        return move
    edgesOpen=[]
    for i in possibleMoves:
        if i in [2,4,6,8]:
            edgesOpen.append(i)
    if len(edgesOpen)>0:
        move=selectRandom(edgesOpen)
    return move

def isBoardFull(board):
    if board.count(' ')>1:
        return False
    else:
        return True
def printBoard(board):
    print('   |   |')
    print(' ' + board[1] + ' | ' + board[2] + ' | ' + board[3])
    print('   |   |')
    print('-----------')
    print('   |   |')
    print(' ' + board[4] + ' | ' + board[5] + ' | ' + board[6])
    print('   |   |')
    print('-----------')
    print('   |   |')
    print(' ' + board[7] + ' | ' + board[8] + ' | ' + board[9])
    print('   |   |')
def main():
    print('welcome')
    printBoard(board)
    while not(isBoardFull(board)):
        if not(isWinner(board, 'O')):
            playerMove()
            printBoard(board)
        else:
            print('O\'s won this time ...')
            break

        if not(isWinner(board,'X')):
            move=compMove()
            if move==0:
                print('Game is a Tie')
            else:
                insertBoard('O',move)
                print('comp has place an o in place:',move)
                printBoard(board)
        else:
            print('X\'s won , good job ')
            break



main()

Python firebase authentication Definitive guide (2021)

2021-09-06T00:00:00+01:00

This is my complete guide to use python firebase Auth in 2021. I used Firebase Auth REST API official documentation to build a simple and clean python codes (api) that allows you to :

Sign up with email / password.
Sign in with email / password.
Send email verification.
Sign in anonymously.
Send password reset email.
Get user data.
Delete account.

After this article you will be able also to make your own api.

So if you want use firebase authentication in one of your project, You will love today's article.

Let's dive in.

What is firebase authentication

Firebase Authentication provides back-end services, easy-to-use , and ready-made UI libraries to authenticate users to your app . It supports authentication using passwords, phone numbers, popular federated identity providers like Google, Facebook and Twitter, and more.

It is also free !

Create Firebase Project

To create a firebase project :

Go to https://console.firebase.google.com .
Click add project.
Chose name for your project.
If you want add google analytics you can do it.
Then click Create project.

Requirements

Project api key

To get started you will need an api key from you firebase project.

Go to your firebase project and click on project settings. and copy the Web API key.

Python requests

You can install requests by:

pip install requests

pip3 install requests

check : https://pypi.org/project/requests/ .

How we are going to do this

If you checked the official documentation on each service they give you:

Request method : We use POST to send data to a server.
Content-Type : The type of the data we gonna send (in this course we gonna use only JSON ).
Endpoint : The url we gonna send data to .
Request Body Payload : The data we gonna send to the server.
Sample request : An example of a request using curl.
Sample response : An example of the response from the server.
Common error codes : The possible errors you can get .

To do all this on python we are going to use requests .

To set the request method to POST

requests.post()

The endpoint is an URL so it's a string.

requests.post('https://identitytoolkit.googleapis.com/v1/accounts:signUp?key={}'.format(apikey))

In the request Body Payload we are going to use a python dict.

details={
    'email':email,
    'password':password,
    'returnSecureToken': True
}

So the sample request will be like this

details={
    'email':email,
    'password':password,
    'returnSecureToken': True
}

# send post request
r=requests.post('https://identitytoolkit.googleapis.com/v1/accounts:signUp?key={}'.format(apikey),data=details)

The r contains the response.

To handle the errors we gonna use a function:

def NewUser(email,password):
    details={
        'email':email,
        'password':password,
        'returnSecureToken': True
    }
    # send post request
    r=requests.post('https://identitytoolkit.googleapis.com/v1/accounts:signUp?key={}'.format(apikey),data=details)
    #check for errors in result
    if 'error' in r.json().keys():
        return {'status':'error','message':r.json()['error']['message']}
    #if the registration succeeded
    if 'idToken' in r.json().keys() :
            return {'status':'success','idToken':r.json()['idToken']}

And so on ..

Enable Email/Password Sign Up

Allow users to sign up using their email address and password.

Sign up with email / password

To create a new user account on firebase Auth you need to send a POST request to this URL

https://identitytoolkit.googleapis.com/v1/accounts:signUp

then if the registration succeeded we will get a token to use it later.

Don't panic it's all easy

This is how you do it in python using requests module.


import requests

apikey='.....................'# the web api key

def NewUser(email,password):
    details={
        'email':email,
        'password':password,
        'returnSecureToken': True
    }
    # send post request
    r=requests.post('https://identitytoolkit.googleapis.com/v1/accounts:signUp?key={}'.format(apikey),data=details)
    #check for errors in result
    if 'error' in r.json().keys():
        return {'status':'error','message':r.json()['error']['message']}
    #if the registration succeeded
    if 'idToken' in r.json().keys() :
            return {'status':'success','idToken':r.json()['idToken']}

Now this is simple all you have to do is call the function like this :

NewUser('user@example.com','password')# use the email and the password

Output:

You will get something like this if everything is okay :

{'status': 'success',
 'idToken': 'eyJhbGciOiJSUzI1NiIsImtpZCI6IjkwMDk1YmM2ZGM2ZDY3NzkxZDdkYTFlZWIxYTU1OWEzZDViMmM0ODYiLCJ0eXAiOiJKV1QifQ.eyJpc3MiOiJodHRwczovL3NlY3VyZXRva2VuLmdvb2dsZS5jb20vaGFja2Vybm9vbi1hcHAiLCJhdWQiOiJoYWNrZXJub29uLWFwcCIsImF1dGhfdGltZSI6MTYzMDA4NTAwOSwidXNlcl9pZCI6Ilk0Q3luTHFVNVRRZGRSSE52MDRzWU54ZWFpdTIiL'}</pre
>

{'status': 'error', 'message': 'EMAIL_EXISTS'}

it means that the email already registered.

Sign in with email / password

To sign in a registered user on firebase Auth you need to make a POST request to

https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword</pre
>

like this :

import requests

apikey='........................'# the web api key

def SignIn(email,password):
    details={
        'email':email,
        'password':password,
        'returnSecureToken': True
    }
    #Post request
    r=requests.post('https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword?key={}'.format(apikey),data=details)
    #check for errors
    if 'error' in r.json().keys():
        return {'status':'error','message':r.json()['error']['message']}
    #success
    if 'idToken' in r.json().keys() :
            return {'status':'success','idToken':r.json()['idToken']}

Run it :

SignIn('user@example.com','password') #put the actual info

You will get :

{'status': 'success',
 'idToken': 'eyJhbGciOiJSUzI1NiIsImtpZCI6IjkwMDk1YmM2ZGM2ZDY3NzkxZDdkYTFlZWIxYTU1OWEzZDViMmM0ODYiLCJ0eXAiOiJKV1QifQ.eyJpc3MiOiJodHRwczovL3NlY3VyZXRva2VuLmdvb2dsZS5jb20vaGFja2Vybm9vbi1hcHAiLCJhdWQiOiJoYWNrZXJub29uLWFwcCIsImF1dGhfdGltZSI6MTYzMDA4NTY0MSwidXNlcl9pZCI6Ilk0Q3luTHFVNVRRZGRSSE'}

{'status': 'error', 'message': 'INVALID_PASSWORD'} # Password wrong

{'status': 'error', 'message': 'EMAIL_NOT_FOUND'} # Email not registered</pre
>

Send email verification

Now to send an email verification using python. You need to send a POST request to

https://identitytoolkit.googleapis.com/v1/accounts:sendOobCode

You need also the token that you get after sign in or sign up.

import requests

apikey='..................'# the web api key

idToken='eyJh1pVjuYvfX72ewSqUxRNUNoGKgdhsaYdeOjs9OsQ......'#token

def VerifyEmail(idToken):
    headers = {
        'Content-Type': 'application/json',
    }
    data='{"requestType":"VERIFY_EMAIL","idToken":"'+idToken+'"}'
    r = requests.post('https://identitytoolkit.googleapis.com/v1/accounts:sendOobCode?key={}'.format(apikey), headers=headers, data=data)
    if 'error' in r.json().keys():
        return {'status':'error','message':r.json()['error']['message']}
    if 'email' in r.json().keys():
        return {'status':'success','email':r.json()['email']}

run :

VerifyEmail(idToken)

result:

Success

{'status': 'success', 'email': 'user@example.com'}

Failed

{'status': 'error', 'message': 'INVALID_ID_TOKEN'}

The user will receive an email from you like this :

Sign in anonymously

Sometimes you need to use user's features without creating an account. So you can do it on firebase just by sending another POST request to :

https://identitytoolkit.googleapis.com/v1/accounts:signUp

But You have to enable it first

Code :

import requests

apikey='...................'# the web api key

def SignInAnonymously():
    headers = {
        'Content-Type': 'application/json',
    }
    data='{"returnSecureToken":"true"}'
    r = requests.post('https://identitytoolkit.googleapis.com/v1/accounts:signUp?key={}'.format(apikey), headers=headers, data=data)
    if 'error' in r.json().keys():
        return {'status':'error','message':r.json()['error']['message']}
    if 'idToken' in r.json().keys():
        return {'status':'success','idToken':r.json()['idToken']}

Output :

{'status': 'success',
 'idToken': 'eyJhbGciOiJSUzI1NiIsImtpZCI6IjkwMDk1YmM2ZGM2ZDY3NzkxZDdkYTFlZWIxYTU1OWEzZDViMmM0'}

Send password reset email

All you need to send an email to reset password using python and the email.Then the user will receive an email to change his password.

just by issuing a POST request to this URL :

https://identitytoolkit.googleapis.com/v1/accounts:sendOobCode

Code :

import requests

apikey='..................'# the web api key
def SendResetEmail(email):
    headers = {
        'Content-Type': 'application/json',
    }
    data={"requestType":"PASSWORD_RESET","email":email}
    r = requests.post('https://identitytoolkit.googleapis.com/v1/accounts:sendOobCode?key={}'.format(apikey), data=data)
    if 'error' in r.json().keys():
        return {'status':'error','message':r.json()['error']['message']}
    if 'email' in r.json().keys():
        return {'status':'success','email':r.json()['email']}

SendResetEmail('user@example.com')

Success :

{'status': 'success', 'email': 'user@example.com'}

if the email isn't registered :

{'status': 'error', 'message': 'EMAIL_NOT_FOUND'}

Get user data

In firebase Auth you can extract user data like :

email
is emailVerified
displayName
createdAt...

All you need is the Idtoken.

Then send a POST request to getAccountInfo endpoint

https://identitytoolkit.googleapis.com/v1/accounts:lookup

Code :

def GetData(idToken):
    details={
        'idToken':idToken
    }
    r=requests.post('https://identitytoolkit.googleapis.com/v1/accounts:lookup?key={}'.format(apikey),data=details)
    if 'error' in r.json().keys():
        return {'status':'error','message':r.json()['error']['message']}
    if 'users' in r.json():
        return {'status':'success','data':r.json()['users']}

GetData('v7MYMlCA')

Output:

{'status': 'success',
 'data': [{'localId': '',
   'email': 'user@example.com',
   'passwordHash': 'U',
   'emailVerified': False,
   'passwordUpdatedAt': ,
   'providerUserInfo': [{'providerId': 'password',
     'federatedId': 'user@example.com',
     'email': 'user@example.com',
     'rawId': 'user@example.com'}],
   'validSince': '',
   'lastLoginAt': '',
   'createdAt': '',
   'lastRefreshAt': '2021-08-31T16:37:59.956Z'}]}

Delete account

To delete a user account you need the idToken of the account. Then you send a POST request to :

https://identitytoolkit.googleapis.com/v1/accounts:delete

Code :

def DeleteAccount(idToken):
    details={
        'idToken':idToken
    }
    r=requests.post('https://identitytoolkit.googleapis.com/v1/accounts:delete?key={}'.format(apikey),data=details)
    if 'error' in r.json().keys():
        return {'status':'error','message':r.json()['error']['message']}
    
    return {'status':'success','data':r.json()}

DeleteAccount('jkdhkeguyegyugv')

Output

{'status': 'success',
 'data': {'kind': 'identitytoolkit#DeleteAccountResponse'}}

Conclusion

Firebase Auth can be a really useful service and it is also free. so you don't need to deal with the database.Note that you can also connect with Google account,Facebook,github,twitter...

Just by using the rest API you can build other API for more features.

Learn python programming on mobile phone

2021-08-25T00:00:00+01:00

A lot of people want to learn python programming until they found all courses online made with laptops and desktops. so, they get disappointed and lose interest in learning. Today, I decided to help you with this problem and show you how you can run python on mobile phone.

Using Mobile Apps IDE

The first way is using mobile applications ( python mobile IDE ) to run python codes on.

Python IDE for android

We start with android mobiles .

Pydroid 3 - IDE for Python 3

This app is very helpful and useful with a good interface and easy to use . It provides you also by all the tools you need.

Pip , so you can install python libraries on your phone.
Terminal , to execute commands on your phone like a pc.
Offline Python Interpreter .
Syntax highlighting & themes.

more features :

You can use OpenCV on phone (on devices with Camera2 API support).
TensorFlow and PyTorch on mobile.
Tkinter support for GUI.
Mobile Cython support.
Kivy graphical library to build android apps using your phone .
pygame 2 to build games on your phone.

Screenshots

Download Pydroid on android

QPython 3L - Python for Android

QPython is the Python engine for android.it already has millions of users worldwide and it is also an open source project.

it contains some amazing features such as

Android Python interpreter
Python android runtime environment.
Python editor
QPYI and SL4A library
It supports running multiple types of projects, including: console program, SL4A program, webapp program
QPYPI and a custom repository for prebuilt wheel packages for enhanced scientific libraries, such as numpy, scipy, matplotlib, scikit-learn etc
Third App Integrations, such as: Barcode, Browser, SpeechRecongition, SendEmail, TextToSpeech

Screenshots

Download qpython

Termux

Termux is an Android terminal emulator and Linux environment app that works directly with no rooting or setup required. A minimal base system is installed automatically - additional packages are available using the APT package manager.

Simply termux makes your phone like a pc . so you can install python on your phone and run scripts.

I personally use it to serve website on my android phone. or to run scripts.

We will use termux only to run python files on phone. And Acode app to write the code.

Screenshots

Download Termux

How to use termux and acode to run python file on android

After installing termux and Acode. open Acode create new file and name it code.py then save it. After that go to parameters and give termux access to storage then open termux then run

pkg install python

then

cd /storage/emulated/0/

then

ls

to see all files in home storage so you copy your file to this location and run

python filename.py

Dcoder, Compiler IDE :Code & Programming on mobile

Dcoder is a mobile coding IDE and platform (Compiler for mobile), where you can run your projects, code and learn algorithms by programming on mobile. Build and deploy your projects straight from the mobile and integrate with Git (Gtihub, bitbucker) and sync with vs code, use of code compilations to make coding easy. Now code anytime, anywhere and on the go.

The main features include:

Rich Text Editor with Syntax highlighting.(Code Editor)
Line number, Auto indent, Autocomplete Parenthesis.
Undo Redo.
File Open/Save.
Custom Suggestion View.
Multiple Language Support.
Thoroughly designed Algorithm problems to improve coding Skills and make programmers industry ready.
Leader Board: To know where you stand amongst the vast Dcoder community.
Custom Menu Drawer, Custom Code Editor Themes, Editable font Size for Editor and much more!!

Screenshots

Download Dcoder For Android

Download Dcoder for ios

Python IDE'S Iphone IOS

Dcoder

I talked about Dcoder on android section

Download Dcoder for ios

Pyto - python 3

Pyto is a Python 3.8 IDE for iPhone and iPad. Run code directly on your device and offline. You can run scripts from Shortcuts and code your own home screen widgets.

Features:

Python 3.8 with all standard libraries
Full Python REPL
Code user interfaces
Smart code completion
Use pip to install pure Python modules from PyPI
Access scripts from everywhere
Preview images and plots on console
Multiple windows for iPadOS 13+
Run scripts and code from Siri Shortcuts
Code your own home screen widgets
Interact with other apps thanks to x-callback urls

Download Pyto

Online python IDE - Python website IDE

Personally i use online python IDE's a lot because it has fast internet access and you can store your code online.Here's a list of my favorites python websites ide

Replit

Replit is a simple yet powerful online IDE, Editor, Compiler, Interpreter, and REPL. Code, compile, run, and host in 50+ programming languages.

So you can use replit on your mobile phone you just have to go to replit website . then create an account. and start coding.

Screenshots

Google colabs

Colaboratory, or "Colab" for short, allows you to write and execute Python in your browser, with

Zero configuration required
Free access to GPUs
Easy sharing

All you have to do is go to google colab and sign in.Then crate new project and start coding

Screenshots

Online Python IDE

Build, Run & Share Python code online using online-python's IDE for free.

It's one of the quick, robust, powerful online compilers for python language.

Don't worry about setting up python environment in your local. Now Run the python code in your favorite browser instantly.

Getting started with this Python editor is easy and fast. Just write the program and click the RUN button!! Code can be saved online by using the SHARE option that enables you to access your code anywhere using internet.

Screenshots

Visit https://www.online-python.com/

Conclusion

If you want to do something just stick on it and don't let anything stops you.

happy coding on your phones.

What comes after learning Python basics

2021-08-21T00:00:00+01:00

Intro

Everyone after learning basics asks what should I do now and gets confused and sometimes unmotivated so i decided to give some help

Solve problems and Quizzes

I love this one so much because it's very helpful and i recommend it for every beginner. There is a lot of Websites who gives you problems and quizzes to practice with. and here's a list.

Learn more

After getting familiar with Python. You should go deeper into learning and more specified. here's a list of what you can learn

AI and Machine learning
Data visualization, and analysis
Web Development
Game development
Cyber security
Mobile apps development
Data science

Projects

The best way to practices what you've learned is by building projects but what kind of projects you can build?

Create a bot
Scrape data from websites
Build a website with web development frameworks
Build an Android app
build a game
Script to automate something

Python 3 Master Course for 2021

2021-08-19T00:00:00+01:00

Intro

This course is uploaded on udemy here by : Learn Tech Plus rate : 4.8

Download link free is in the end of the post

Description

Do you want to Master Python? Then this is the course for you where I will take you from complete beginner to Advanced Python Programmer. Let me walk you through a detailed step by step process that will help you accomplish your goals and have fun learning on the way we will cover the following in detail:

Introduction
Documentation
1. What is Python
2. Getting Started with Python Documentation
3. Cover Summary of Python Beginner's Documentation
4. Cover a Summary of Python Moderate Guide
5. Cover a Summary of Python Advanced Guide
6. Cover a Summary of General Python Documentation
7. Talk in Depth about Python 3.x Resources
8. Talk about what is and How to Port from Python 2 to Python
Setup
1. Overview
2. What is IDE
3. IDEs for Python
4. What is a Text Editor
5. Text Editors for Python
6. Download and Install Python 3 with IDLE Included
7. Basic Commands with Terminal
8. Write and Run your First Python Script with Terminal and IDLE
9. Download & Install Visual Studio Code
10. Download & Install Python Extension in Visual Studio Code
11. Write & Run Python Script with Visual Studio Code and Terminal
12. Download & Install Anaconda
13. Write & Run Python Script with Anaconda
Python Basics
1. Syntax
2. Comments
3. Data Types
4. Numbers
5. Casting
6. Booleans
7. Operators
8. If Else Statements
9. While Loops
10. For Loops
11. Functions
12. Lambda
13. Arrays
14. Classes and Objects
15. Inheritance
16. Iterators
17. Scope
18. Modules
19. Dates
20. Math
21. JSON
22. RegEx
23. PIP
24. Try Except
25. User Input
26. String Formatting
Variables
1. Overview
2. Variables
3. Variable Names
4. Assign Multiple Values
5. Output Variables
6. Global Variables
Strings
1. Overview
2. Strings
3. Slicing Strings
4. Modify Strings
5. Concatenate Strings
6. Format Strings
7. Escape Characters
8. String Methods
Lists
1. Overview
2. Lists
3. Access List Items
4. Change List Items
5. Add List Items
6. Remove List Items
7. Loop Lists
8. List Comprehension
9. Sort Lists
10. Copy Lists
11. Join Lists
12. List Methods
Tuples
1. Overview
2. Tuples
3. Access Tuples
4. Update Tuples
5. Unpack Tuples
6. Loop Tuples
7. Join Tuples
8. Tuple Methods
Sets
1. Overview
2. Sets
3. Access Set Items
4. Add Set Items
5. Remove Set Items
6. Loop Sets
7. Join Sets
8. Set Methods
Dictionaries
1. Overview
2. Access Items
3. Change Items
4. Add Items
5. Remove Items
6. Loop Dictionaries
7. Copy Dictionaries
8. Nested Dictionaries
9. Dictionary Methods

What you'll learn

What is Python
Python Documentation Resources
Porting From Python 2 to Python 3
Python 3.x Resources
Download and Install Python 3
Write Your First Python Script
Run Your First Python Script
Python Basics
Syntax
Comments
Data Types
Numbers
Casting
Booleans
Operators
If Else Statements
While Loops
For Loops
Functions
Lambda
Arrays
Classes and Objects
Inheritance
Iterators
Scope
Modules
Dates
Math
JSON
RegEx
PIP
Try Except
User Input
String Formatting
Variables
Strings
Lists
Tuples
Sets
Dictionaries

Who this course is for:

Beginner to Advanced Students wanting to Learn Python 3

Download

Now you can download the course free or watch it online

Download link 1

100 Days of Code - The Complete Python Pro Bootcamp for 2021

2021-08-17T00:00:00+01:00

Intro

This course is uploaded on udemy here by : Dr. Angela Yu rate : 4.8

Download link is in the end of the post

What you'll learn

Be able to program in Python professionally
Create a portfolio of 100 Python projects to apply for developer jobs
Be able to use Python for data science and machine learning
Build GUIs and Desktop applications with Python
Master the Python programming language by building 100 projects over 100 days
Be able to build fully fledged websites and web apps with Python
Build games like Blackjack, Pong and Snake using Python
Learn to use modern frameworks like Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, Matplotlib, Seaborn,

Who this course is for:

If you want to learn to code from scratch through building fun and useful projects, then take this course.
If you want to start your own startup by building your own websites and web apps.
If you are a complete beginner then this course will be everything you need to become a Python professional
If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.
If you are an intermediate Python programmer then you know 100 days of code challenges will help you level up.

Requirements

No programming experience needed - I'll teach you everything you need to know
A Mac or PC computer with access to the internet
No paid software required - I'll teach you how to use PyCharm, Jupyter Notebooks and Google Colab
I'll walk you through, step-by-step how to get all the software installed and set up

Download

Download here on mega : https://mega.nz/folder/3dkS2bDK#gYMtinIWJaXsFfVJErcZYA/folder/fRlT2KpL

Network scanner : Discover all ip address on your network

2021-08-15T00:00:00+01:00

Intro :

Hello, today we are going to code a network scanner to scan our network and find the ip address connected we are going to use the ping command ... follow

In my case i am using linux ..

This script is going to show all connected devices on our network

Start coding :

Setup the script file :

Create file :

First you have to create a file with python extension (ends with .py)

i will name it scan.py

Import required modules:

import sh    
from subprocess import Popen, PIPE
import re

Function to get the Mac address of the ip :

First, we are going to create a function to get the Mac address of the ip we have:

def getMac(ip):

    pid = Popen(["arp", "-n", ip], stdout=PIPE)
    s = pid.communicate()[0]
    a=re.search(r"(([a-f\d]{1,2}\:){5}[a-f\d]{1,2})", str(s))
    if a ==None:
        b=('this')
        return b
    else:
        mac = a.groups()[0]
        return mac

This function :

Uses the command arp -n to get the information of the ip.
Then it uses the regex to get the mac .
The if statement is for checking if the ip is our ip

On Linux operating systems, the arp command manipulates or shows the kernel's IPv4 network neighbour cache. It can add entries to the table, delete one, or display the current content. ARP stands for Address Resolution Protocol, which is used to find the address of a network neighbor for a given IPv4 address.

Generate some ip address:

Now we are going to do a for loop to generate some ip address

for num in range(1,256):  
    ip = "192.168.1."+str(num)    
    try:  
        sh.ping(ip, "-c 1",_out="/dev/null")  
        mac=getMac(ip)
        print ("PING ",ip , "OK ",mac) 
        
    except sh.ErrorReturnCode_1:  
        #print ("PING ", ip, "FAILED") 
        pass

This loop:

Generates an ip
Then it runs the command ping to check if this ip is alive
Then it gets the mac address
After that it print the ip if everything is okay

Ping is a computer network administration software utility used to test if an host is reachable on an Internet Protocol network.you can do it on all operating systems that have network access, including most embedded network administration software.

NOTE : the ip variable i used can be different of yours first you have to check what types of ip address your router uses.

To check what ip address your router uses you can simply run the command :

ifconfig

and you will see an output like that :

wlo1: flags=4163<UP,BROADCAST,RUNNING,MULTICAST>  mtu 1500
        inet 192.168.1.6  netmask 255.255.255.0  broadcast 192.168.1.255
        inet6 fd7c:11cb:b823:5200:d4dc:1fd4:23e2:b95a  prefixlen 64  scopeid 0x0<global>
        inet6 fe80::fb2d:ea55:3964:dd3b  prefixlen 64  scopeid 0x20<link>
        inet6 fd7c:11cb:b823:5200:9d6:45ba:f7dc:4bf0  prefixlen 64  scopeid 0x0<

in my case you can see that my ip is 192.168.1.6 so all others ip will be start with 192.168.1. that's why i used 192.168.1. to generate ip address.

Full code :

import sh    
from subprocess import Popen, PIPE
import re

def getMac(ip):
    pid = Popen(["arp", "-n", ip], stdout=PIPE)
    s = pid.communicate()[0]
    a=re.search(r"(([a-f\d]{1,2}\:){5}[a-f\d]{1,2})", str(s))
    if a ==None:
        b=('this')
        return b
    else:
        mac = a.groups()[0]
        return mac

for num in range(1,256):  
    ip = "192.168.1."+str(num)  
    try:  
        sh.ping(ip, "-c 1",_out="/dev/null")  
        mac=getMac(ip)
        print ("PING ",ip , "OK ",mac) 
        
    except sh.ErrorReturnCode_1:  
        #print ("PING ", ip, "FAILED") 
        pass

Run the script :

open the folder contains the script on a terminal and run:

python3 scan.py

OUTPUT :

PING  192.168.1.1 OK  00:00:00:00:00
PING  192.168.1.2 OK  00:00:00:00:00
PING  192.168.1.5 OK  00:00:00:00:00
PING  192.168.1.10 OK  00:00:00:00:00
PING  192.168.1.14 OK  00:00:00:00:00

You will see mac address instead of 00:00:00:00:00

Don't forget to share this post..

Happy coding ...

Code a simple internet speed tester using python

2021-07-31T00:00:00+01:00

Intro

Hello, today we are going to build an internet's speed tester with python using speedtest-cli library. let's code !

Code

Installation

pip / easy_install

pip install speedtest-cli

easy_install speedtest-cli

Github

pip install git+https://github.com/sivel/speedtest-cli.git

git clone https://github.com/sivel/speedtest-cli.git
cd speedtest-cli
python setup.py install

Just download (Like the way it used to be)

wget -O speedtest-cli https://raw.githubusercontent.com/sivel/speedtest-cli/master/speedtest.py
chmod +x speedtest-cli

curl -Lo speedtest-cli https://raw.githubusercontent.com/sivel/speedtest-cli/master/speedtest.py
chmod +x speedtest-cli

Coding

First importing the module

import speedtest

Then we define a tester

tester=speedtest.Speedtest()

Choosing the best server for the test

print('Searching for the best server ..')
bestServer=tester.get_best_server()
print(f'Selecting {bestServer["host"]} located in {bestServer["country"]},{bestServer["name"]}')

Perform a download speed test

print('Checking download speed ..')
downloadSpeed=tester.download()
print('Done !')

Perform a upload speed test

print('Checking upload speed ..')
uploadSpeed=tester.upload()
print('Done !')

The ping test is already done

ping=tester.results.ping

Showing the results

print('Results :')
print(f'-Download speed : {downloadSpeed/1048576 :.2f} Mbits/s')
print(f'-Upload speed : {uploadSpeed/1048576 :.2f} Mbits/s')
print(f'-Ping : {ping :.2f} ms')

Full code

import speedtest

tester=speedtest.Speedtest()


print('Searching for the best server ..')
bestServer=tester.get_best_server()
print(f'Selecting {bestServer["host"]} located in {bestServer["country"]},{bestServer["name"]}')

print('Checking download speed ..')
downloadSpeed=tester.download()
print('Done !')

print('Checking upload speed ..')
uploadSpeed=tester.upload()
print('Done !')

ping=tester.results.ping

print('Results :')
print(f'-Download speed : {downloadSpeed/1048576 :.2f} Mbits/s')
print(f'-Upload speed : {uploadSpeed/1048576 :.2f} Mbits/s')
print(f'-Ping : {ping :.2f} ms')

This is a basic code you can do modifications

happy coding !