Python GUI Programming Projects using Tkinter and Python 3

Description

Learn Hands-On Python Programming By Creating Projects, GUIs and Graphics

Python is a dynamic modern object -oriented programming language

It is easy to learn and can be used to do a lot of things both big and small

Python is what is referred to as a high level language

Python is used in the industry for things like embedded software, web development, desktop applications, and even mobile apps!

SQL-Lite allows your applications to become even more powerful by storing, retrieving, and filtering through large data sets easily

If you want to learn to code, Python GUIs are the best way to start!

I designed this programming course to be easily understood by absolute beginners and young people. We start with basic Python programming concepts. Reinforce the same by developing Project and GUIs.

Why Python?

The Python coding language integrates well with other platforms – and runs on virtually all modern devices. If you’re new to coding, you can easily learn the basics in this fast and powerful coding environment. If you have experience with other computer languages, you’ll find Python simple and straightforward. This OSI-approved open-source language allows free use and distribution – even commercial distribution.

When and how do I start a career as a Python programmer?

In an independent third party survey, it has been revealed that the Python programming language is currently the most popular language for data scientists worldwide. This claim is substantiated by the Institute of Electrical and Electronic Engineers, which tracks programming languages by popularity. According to them, Python is the second most popular programming language this year for development on the web after Java.

Python Job Profiles

Software Engineer

Research Analyst

Data Analyst

Data Scientist

Software Developer

Python Salary

The median total pay for Python jobs in California, United States is $74,410, for a professional with one year of experience

Below are graphs depicting average Python salary by city

The first chart depicts average salary for a Python professional with one year of experience and the second chart depicts the average salaries by years of experience

Who Uses Python?

This course gives you a solid set of skills in one of today’s top programming languages. Today’s biggest companies (and smartest startups) use Python, including Google, Facebook, Instagram, Amazon, IBM, and NASA. Python is increasingly being used for scientific computations and data analysis

Take this course today and learn the skills you need to rub shoulders with today’s tech industry giants. Have fun, create and control intriguing and interactive Python GUIs, and enjoy a bright future! Best of Luck

Who is the target audience?

Anyone who wants to learn to code

For Complete Programming Beginners

For People New to Python

This course was designed for students with little to no programming experience

People interested in building Projects

Anyone looking to start with Python GUI development

Basic knowledge

Access to a computer

Download Python (FREE)

Should have an interest in programming

Interest in learning Python programming

Install Python 3.6 on your computer

What will you learn

Build Python Graphical User Interfaces(GUI) with Tkinter

Be able to use the in-built Python modules for their own projects

Use programming fundamentals to build a calculator

Use advanced Python concepts to code

Build Your GUI in Python programming

Use programming fundamentals to build a Project

Signup Login & Registration Programs

Quizzes

Assignments

Job Interview Preparation Questions

& Much More

Guide to Python Programming Language

Description

The course will lead you from beginning level to advance in Python Programming Language. You do not need any prior knowledge on Python or any programming language or even programming to join the course and become an expert on the topic.

The course is begin continuously developing by adding lectures regularly.

Please see the Promo and free sample video to get to know more.

Hope you will enjoy it.

Basic knowledge

An Enthusiast Mind

A Computer

Basic Knowledge To Use Computer

Internet Connection

What will you learn

Will Be Expert On Python Programming Language

Build Application On Python Programming Language

A tutorial on writing MatLab-like functions using the Python language and the NumPy library.

Recently in my work, I was re-writing algorithms developed in MatLab to Python, some functions are not so simple to adapt, especially the array functions that are called Cell Arrays.

MatLab has an API where you can call MatLab functions via Python. The idea, however, was not to use MatLab, but the same algorithm works the same way using only Python and NumPy, and the GNU Octave also has an API similar to that of MatLab.

To maintain compatibility, I have created functions with the same name that are used in MatLab that is encapsulated in a class called Precision.

Make the repository clone and follow the instructions in the README file:

Below I will show some examples, these are contained in the unit tests.

Measuring the time spent in processing.

```
from precision import Precision
p = Precision()
p.tic()
for i in range(0, 1000): print(i)
p.toc()
```

The output will look something like this:

```
: > Elapsed time is 0:0:2 secounds.
```

This is used to get a percentile. In the example below, we are creating a range of ordinal dates by cutting 5% from the left and 5% from the right.

```
from datetime import datetime
from precision import Precision
p = Precision()
d = [i for i in p.dtrange(datetime(2018, 6, 12),
datetime(2059, 12, 12),
{'days':1, 'hours':2})]
x = [p.datenum(i.date()) for i in d]
x1 = p.prctile(x, 5)
x2 = p.prctile(x, 95)
r = (x2 - x1)
```

The output will look something like this:

```
5% lower: 737980.1
5% higher: 751621.9
delta: 13641.800000000047
```

This converts a cell array to an ordinary array of the underlying data type.

```
from precision import Precision
p = Precision()
p.cell2mat([[1, 2], [3, 4]])
p.cell2mat('1 2; 3 4')
```

The output will look something like this:

```
matrix([[1, 2],
[3, 4]])
```

Convert array to cell array with consistently sized cells.

```
import numpy
from precision import Precision
p = Precision()
x = numpy.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], numpy.int64)
p.num2cell(x)
```

The output will look something like this:

```
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]
```

This concatenates strings horizontally using strcat.

```
import pandas
from precision import Precision
p = Precision()
df = pandas.DataFrame(data={'A': [1, 2], 'B': [3, 4]}, dtype=numpy.int8)
p.strcat(df, 'B')
```

The output will look something like this:

```
['3', '4']
```

This counts the number of values in x that are within each specified bin range. The input, binranges, determines the endpoints for each bin. The output, bincounts, contains the number of elements from x in each bin.

```
import numpy
from precision import Precision
p = Precision()
v = numpy.array([[1.5, 2.0, 3], [4, 5.9, 6]], numpy.int64)
p.histc(v, numpy.amax(v) + 1)
```

The output will look something like this:

```
(array([1, 1, 1, 0, 1, 1, 1]), array([1., 1.71428571, 2.42857143,
3.14285714, 3.85714286, 4.57142857, 5.28571429, 6.]))
```

Looking for unique values in an array and returning the indexes, inverse, and counts.

```
import numpy
from precision import Precision
p = Precision()
x = [0, 1, 1, 2, 3, 4, 4, 5, 5, 6, 7, 7, 7]
p.unique(numpy.array([x]))
```

The output will look something like this:

```
array([[array([0, 1, 2, 3, 4, 5, 6, 7]),
array([[ 0, 1, 3, 4, 5, 7, 9, 10]]),
array([0, 1, 1, 2, 3, 4, 4, 5, 5, 6, 7, 7, 7]),
array([1, 2, 1, 1, 2, 2, 1, 3])]], dtype=object)
```

Looking for the overlays between two arrays returning the index.

```
import numpy
from precision import Precision
p = Precision()
x, y = p.overlap2d(numpy.array(['A','B','B','C']),
numpy.array(['C','A','B','C','D']))
```

The output will look something like this:

```
(array([0, 1, 2, 3]), array([1, 2, 0, 3]))
```

There are functions that are not exactly MatLab but will serve as support, I hope it can help someone. There is an interesting article in NumPy for users who are migrating from MatLab to Python.

Further ReadingMATLAB vs Python: Why and How to Make the Switch

Creating a Plot Charts in Python with Matplotlib

Python Tutorial - Python GUI Programming - Python GUI Examples (Tkinter Tutorial)

Essential Python 3 code for lists

*Originally published by * Ederson Corbari * at *dzone.com

=============================================================

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