If you find mastering the code difficult, try the GUI program Tkinter
It makes work easier when building desktop apps, I'm still trying to understand how it can be used for Web apps.

Learn here "Different flavors of Python"

https://www.codebread.co.in/2019/07/flavors-of-python.html

benob:
To learn python programming for starters. What's the best laptop to buy
Specs and brand
Thanks

Any good lappy can do

Am an experienced person buy still learning and a teaching staff of an institution in Nigeria


Kindly add me to educative programming fora.
My name is Abdulhameed idris
WhatsApp: 08026248258
Interest: web technology, Java, cpp, c# and python.

Can't run my first program, I have this issue

Vindica:
Can't run my first program, I have this issue

The file doesn't exist, maybe directory synthax error

The Decagon Program is now accepting applications.


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What is the Decagon Program?

An in-person, on-site learning experience that transforms you into a capable software engineer in 6 months. The program takes care of everything in order to ensure you only focus on learning, thus making you a well-rounded engineer with broad technical knowledge and deep problem-solving skills.

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Udiee:
The Decagon Program is now accepting applications.


The times are changing. We’re creating our own “silicon valley”. if you don’t get in, you’ll be left out.

That’s while you should apply for the Decagon Software Development Programme for Nigerians.


About Decagon

Decagon is on a mission to help high potential Nigerians contribute meaningfully through technology. They transform fast learners into world-class software developers in just six months and connect them to job opportunities locally and abroad. Their platform enables the brightest young Nigerians to not only take advantage of the new digital economy but to actively lead and shape emerging opportunities.

What is the Decagon Program?

An in-person, on-site learning experience that transforms you into a capable software engineer in 6 months. The program takes care of everything in order to ensure you only focus on learning, thus making you a well-rounded engineer with broad technical knowledge and deep problem-solving skills.

This is what you get:

An intensive 6-month full stack development training, at no upfront cost.

During the program, you will get great accommodation within proximity of the training centre, with feeding included.

Brand new laptop, with all necessary professional software, installed.

Steady power supply at the training centre and at the residence.

Monthly stipend to meet other basic needs.

After the program, you will get a job placement with one of the amazing organizations that hire from Decagon including Kobo360, Terragon, Flutterwave, Seamfix, ROAM, Groove, Gokada, Sterling Bank, Stanbic Bank, Access Bank, Opera, Zonetech Park and so on.

How much is the tution fee?

i lost my password, back up phrase to my bitcoin wallet where i have over a thousand dollars due to fire outbreak. who can help me recover it will get 30% of the funds.

I wrote a script to check the posters on this thread and their respective number of posts.

import requests
from bs4 import BeautifulSoup
from plotly.graph_objects import Bar, Layout, Figure

def gethtmlcontent(url):
    response = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})
    html = response.content
    soup = BeautifulSoup(html)
    return soup

users = []
for i in range(10):
    url = 'https://www.nairaland.com/4945611/thread-tutorial-python-programming/' + str(i)
    print(f"Downloading: {url}" )
    table = gethtmlcontent(url).find('table', attrs={'summary': 'posts'})
    for row in table.findAll('tr'):
        for user in row.findAll('a', attrs={'class': 'user'}):
            users.append(user.text)

userdict = {}
for user in users:
    if user in userdict:
        userdict[user] += 1
    else:
        userdict[user] = 1

y_values = list(userdict.keys())
x_values = list(userdict.values())
data = [Bar(x=x_values, y=y_values, orientation='h')]

x_axis_config = {'title': 'POST FREQUENCY', 'dtick': 1}
y_axis_config = {'title': 'USERS', 'dtick': 1, 'tickmode': 'linear'}
my_layout = Layout(title='Post Frequency per User on Thread',
                   xaxis=x_axis_config, yaxis=y_axis_config, bargap=0.5)
fig = Figure({'data': data, 'layout': my_layout})
fig.update_traces(marker_color='rgb(158,202,225)', marker_line_color='rgb(8,48,107)',
                  marker_line_width=1.5, opacity=0.6)
fig.update_layout(autosize=False, width=800, height=2000)
fig.show(renderer='browser')

Wow

cochtrane:
I wrote a script to check the posters on this thread and their respective number of posts.

import requests
from bs4 import BeautifulSoup
from plotly.graph_objects import Bar, Layout, Figure

def gethtmlcontent(url):
    response = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})
    html = response.content
    soup = BeautifulSoup(html)
    return soup

users = []
for i in range(10):
    url = 'https://www.nairaland.com/4945611/thread-tutorial-python-programming/' + str(i)
    print(f"Downloading: {url}" )
    table = gethtmlcontent(url).find('table', attrs={'summary': 'posts'})
    for row in table.findAll('tr'):
        for user in row.findAll('a', attrs={'class': 'user'}):
            users.append(user.text)

userdict = {}
for user in users:
    if user in userdict:
        userdict[user] += 1
    else:
        userdict[user] = 1

y_values = list(userdict.keys())
x_values = list(userdict.values())
data = [Bar(x=x_values, y=y_values, orientation='h')]

x_axis_config = {'title': 'POST FREQUENCY', 'dtick': 1}
y_axis_config = {'title': 'USERS', 'dtick': 1, 'tickmode': 'linear'}
my_layout = Layout(title='Post Frequency per User on Thread',
                   xaxis=x_axis_config, yaxis=y_axis_config, bargap=0.5)
fig = Figure({'data': data, 'layout': my_layout})
fig.update_traces(marker_color='rgb(158,202,225)', marker_line_color='rgb(8,48,107)',
                  marker_line_width=1.5, opacity=0.6)
fig.update_layout(autosize=False, width=800, height=2000)
fig.show(renderer='browser')

you


Super cool

nappy760:
you


Super cool

Thanks.
I think it showed pretty clearly why this great resource on python kinda died. It didn't get a lot of participation or engagement. Average post per user was perhaps only 2, compared to the number of posts by the OP (>50).

Please guys how long do you think it would take a teenager to learn machine learning to a useful extent to do basic projects.How do I start?
Do I need a lot of pure math?

good day family.
plz i need assistance
please i am having issue with django rest_framework.
on my post-man this is my error
#############################################################################
{
"detail": "JSON parse error - Expecting value: line 1 column 1 (char 0)"
}
#############################################################################

on my terminal this my error
Bad Request: /create_api/
[24/Aug/2019 13:53:45] "POST /create_api/?name=qsqsq&amount=qssqsqs&description=sqsqsq&product=sqsqs
qsq HTTP/1.1" 400 73

#############################################################################


this my serialer.py
from rest_framework import serializers
from .models import Record2

class RecordSerializer(serializers.ModelSerializer):
class Meta:
model = Record2
fields = ["id", "name","product", "amount", "description"]
read_only_fields =["id"]


#############################################################################
ths is my view.py
@api_view(['POST', 'GET'])
def Create_api(request):
if request.method == "POST":
print(request.data)
data = JSONParser().parse(request)
serializer = RecordSerializer(data = request.data)
if serializer.is_valid():
print(serializer)
serializer.save()
return Response(serializer.data, status=status.HTTP_201_CREATED)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)

Hey Guys,
Do you know what are the different Python implementations available for us?
Those are CPython, Jython, Pypy, etc.
Follow the article on Different Flavors of Python(https://www.codebread.co.in/2019/07/flavors-of-python.html) to know in details.

pgbamane:
Hey Guys,
Do you know what are the different Python implementations available for us?
Those are CPython, Jython, Pypy, etc.
Follow the article on Different Flavors of Python(https://www.codebread.co.in/2019/07/flavors-of-python.html) to know in details.

how many things this people want make we learn at a time...?

nappy760:


how many things this people want make we learn at a time...?

E don tire me sef.
They are trying though, kudos to them.

pgbamane:
Hey Guys,
Do you know what are the different Python implementations available for us?
Those are CPython, Jython, Pypy, etc.
Follow the article on Different Flavors of Python(https://www.codebread.co.in/2019/07/flavors-of-python.html) to know in details.

We go dey alright las las, I am trying to joggle c#, js, python, AI&ML and now I am hearing we have different flavors of python ...it is well

nappy760:


We go dey alright las las, I am trying to joggle c#, js, python, AI&ML and now I am hearing we have different flavors of python ...it is well

Do you do any Serious Thing with C# and ML(Python Libraries)?

Damoxy:


Do you do any Serious Thing with C# and ML(Python Libraries)?

Still on the basics , c# is super for web apps especially when you are familiar with OOP concept .
I once attended a softdev training on C# dotnet mvc and how to build web apps using visual studio

Is there any networking engineer here who has started using Python for network automation?

cochtrane:
I wrote a script to check the posters on this thread and their respective number of posts.

import requests
from bs4 import BeautifulSoup
from plotly.graph_objects import Bar, Layout, Figure

def gethtmlcontent(url):
    response = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})
    html = response.content
    soup = BeautifulSoup(html)
    return soup

users = []
for i in range(10):
    url = 'https://www.nairaland.com/4945611/thread-tutorial-python-programming/' + str(i)
    print(f"Downloading: {url}" )
    table = gethtmlcontent(url).find('table', attrs={'summary': 'posts'})
    for row in table.findAll('tr'):
        for user in row.findAll('a', attrs={'class': 'user'}):
            users.append(user.text)

userdict = {}
for user in users:
    if user in userdict:
        userdict[user] += 1
    else:
        userdict[user] = 1

y_values = list(userdict.keys())
x_values = list(userdict.values())
data = [Bar(x=x_values, y=y_values, orientation='h')]

x_axis_config = {'title': 'POST FREQUENCY', 'dtick': 1}
y_axis_config = {'title': 'USERS', 'dtick': 1, 'tickmode': 'linear'}
my_layout = Layout(title='Post Frequency per User on Thread',
                   xaxis=x_axis_config, yaxis=y_axis_config, bargap=0.5)
fig = Figure({'data': data, 'layout': my_layout})
fig.update_traces(marker_color='rgb(158,202,225)', marker_line_color='rgb(8,48,107)',
                  marker_line_width=1.5, opacity=0.6)
fig.update_layout(autosize=False, width=800, height=2000)
fig.show(renderer='browser')

do u Google for synthax after writing down ur algorithm

Wrote a script to get the respective posts in this thread and their corresponding number of likes.

import requests
from bs4 import BeautifulSoup
from pprint import pprint as pprint

link = 'https://www.nairaland.com/4945611/thread-tutorial-python-programming/'
posts, likes, allposts, allids = [], [], [], []


def getresponse(url):
    response = requests.get(url)
    html = response.content
    soup = BeautifulSoup(html, 'html.parser')
    return soup


def findthreadlength(url):
    div = getresponse(url).find("span", class_=" small" ).previous_sibling
    for i in range(3):
        div = div.previous_sibling
    length = div.text.split(" (" )[-1].rsplit(" )" )[0]
    return int(length)


for i in range(findthreadlength(link)):
    table = getresponse(link + str(i)).findAll('a', attrs={'class': 'user'})
    posts = [item.previous_sibling.previous_sibling['href'] for item in table]
    allposts += posts

    ids = [post.split('#')[-1] for post in posts]
    allids += ids

    for idx in ids:
        like = getresponse(link + str(i)).find('b', attrs={'id': 'lpt' + str(idx)})
        if like is None:
            like = '0 Like'
            likes.append(like)
        else:
            likes.append(like.text)


alllikes, fullposts = [], []

for like in likes:
    if like == ' ':
        like = '0 Like'
        alllikes.append(like)
        continue
    alllikes.append(like.rstrip())

fullposts = ['https://www.nairaland.com' + str(post) for post in allposts]

postdict = {}
for post, like in zip(fullposts, alllikes):
    postdict[post] = like

pprint(postdict)

First few results below:

cochtrane:
Wrote a script to get the respective posts in this thread and their corresponding number of likes.

import requests
from bs4 import BeautifulSoup
from pprint import pprint as pprint

link = 'https://www.nairaland.com/4945611/thread-tutorial-python-programming/'
posts, likes, allposts, allids = [], [], [], []


def getresponse(url):
    response = requests.get(url)
    html = response.content
    soup = BeautifulSoup(html, 'html.parser')
    return soup


def findthreadlength(url):
    div = getresponse(url).find("span", class_=" small" ).previous_sibling
    for i in range(3):
        div = div.previous_sibling
    length = div.text.split(" (" )[-1].rsplit(" )" )[0]
    return int(length)


for i in range(findthreadlength(link)):
    table = getresponse(link + str(i)).findAll('a', attrs={'class': 'user'})
    posts = [item.previous_sibling.previous_sibling['href'] for item in table]
    allposts += posts

    ids = [post.split('#')[-1] for post in posts]
    allids += ids

    for idx in ids:
        like = getresponse(link + str(i)).find('b', attrs={'id': 'lpt' + str(idx)})
        if like is None:
            like = '0 Like'
            likes.append(like)
        else:
            likes.append(like.text)


alllikes, fullposts = [], []

for like in likes:
    if like == ' ':
        like = '0 Like'
        alllikes.append(like)
        continue
    alllikes.append(like.rstrip())

fullposts = ['https://www.nairaland.com' + str(post) for post in allposts]

postdict = {}
for post, like in zip(fullposts, alllikes):
    postdict[post] = like

pprint(postdict)

First few results below:

Can you explain the program bit by bit

I have concise materials for complete R programming course, Python course, MathLab, and Data visualization tools like Tableau.

If you are beginner in these advanced programming languages, and are interested in data science kindly reach out to me on 07068883816

cochtrane:
I wrote a script to check the posters on this thread and their respective number of posts.

Bro. I'm working on a python school project. I need your help.