Introducing and Defining Arrays in Python

The tutorial provided to complete and optimize the topics in the introductory Python is provided. Familiarity with NumPy (in the second lesson) also opens a new phase of programming in Python for users.

Python is especially popular around the world for its simplicity and power. Programs written with Python are implemented on Windows, Macintosh, Unix, Linux, Solaris, etc. operating systems. It is an interpreter programming language and is a fully object-oriented language that uses automatic memory management. The purpose of this course is to provide topics for completing and optimizing introductory Python, and also introduces NumPy to a new phase of programming in Python.

The list of topics and outlines of the topics discussed in this training series is as follows:

• Lesson 1: Introducing and Defining Arrays in Python
• An overview of the introduction of the Python language
• Install Python
• Define arrays
• Lesson Two: Introducing the NumPy Package
• Introduction and necessity of learning
• How to install Pie Name (NumPy)
• Start programming with the pie name
• Create an array named pie
• Introduction of several functions
• Appendix
• Introduce and remind a few commonly used functions
• Computational commands in arrays
• Four main actions and possible errors
• Calculate the correlation function
• Introduction of meshgrid function
• Lesson 3: Drawing Charts in Python
• Types of charts
• Modules and packages that can be used to draw diagrams in Python
• Matplotlib package
• Introducing the Matplotlib package
• Sub-packages of Matplotlib module
• How to install Matplotlib
• PyLab package
• Introduction of several functions
• Draw two-dimensional diagrams
• Draw a bar chart
• Draw a step chart
• Draw a histogram
• Draw a pie chart

This tutorial was previously published in under the title Python-Supplementary Programming. Given that the focus of this tutorial has been on the NumPy and Matplotlib libraries; The tutorial title was changed to work with the NumPy and Matplotlib libraries in Python to make the tutorial title more reflective of the tutorial content. Also in, the title of Python programming training - supplementary - the first part with different and varied topics will be published soon, which is available through the following.

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• All engineering disciplines
• Science

Prerequisites

 Python Programming Tutorial - Basic

What you will see in this tutorial:

File programs and executed projects

PDF file Instructor presentation notes

Training related software

 Python 2.7.11

Previews

1. Introducing and defining arrays in Python Video playback
2. 2. Introducing the NumPy package 
3. Introducing the NumPy Package (Attachment) 
4. Drawing diagrams in Python (a) 
5. Drawing diagrams in Python (b) 
6. Drawing diagrams in Python (p) 

Undoubtedly, Python is one of the best, most widely used and most powerful programming languages ​​in the world. One of the most interesting features of this all-purpose language is writing desktop applications (similar to Windows Form in C #). If you work with Python or want to get started, you need to know at least one graphical user interface (GUI) of the many graphical interfaces written for it.

Undoubtedly, Python is one of the best, most widely used and most powerful programming languages ​​in the world. One of the most interesting features of this all-purpose language is writing desktop applications (similar to Windows Form in C #). If you work with Python or want to get started, you need to know at least one graphical user interface (GUI) of the many graphical interfaces written for it.

This tutorial is a brief introduction to the graphics.py package and then we go to the standard and default Python package. includes various widgets that have been tried to cover all of them and it is very easy to learn and widely used. This tutorial is complete and step by step with many examples for better and faster learning of topics. At the end of the tutorial, you will be able to write a desktop application with Python.

The list of topics and outlines of the topics discussed in this training series is as follows:

• Lesson one: Introducing Python graphic packages
• Introduction
• Lesson two: Introducing the graphics.py package
• Package installation
• Introduction of basic functions with example
• Additional example (a sticker and creating a triangle)
• Lesson three:
• Introduction! Hello world
• Build Label Widget and Introduction to Geometry
• Button, Check button, Radio button widgets
• Description and example Event Handler
• Entry, Text widgets
• Combo box, Spin box, List box widgets
• Menu widgets, Menu button
• Message widgets, tk Message Box
• Canvas widget
• Frame widgets, Paned Window, Label Frame, Top level
• Scale, Scrollbar, Progress bar widgets
• Tree view widget
• Dialog box widget
• Supplementary topic of geometry
• Events ،Mouse Event
• Supplementary topics and projects

Useful for strings

• Programming
• Computer Engineering

Prerequisites

With Python 3.6 platform you can buy traffic to your website

What you will see in this tutorial:

File programs and executed projects

Training related software

 Python 3.6

Previews

1. Introduction to Python graphical interfaces 

Video playback

2.Introducing Graphics.py package 

1. Introducing the Tkinter Widget (a) 
2. Introducing the Tkinter widget (b) 
3. Introducing the Tkinter widget (p) 
4. Introducing the Tkinter Widget (T) 
5. Introducing the Tkinter Widget 

This training includes 7 video sessions with a total of 5 hours and 3 minutes.

By providing this tutorial, you can access all its sections and sessions.

Training order guide

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Do you have any questions about this tutorial or how to prepare it?

• Call the phone number of the contact unit 57916000 (prefix 021). - All office hours
• Correspond with us by email ( this link ). - Average response time: 30 minutes