The Complete Python Masterclass: Learn Python From Scratch (updated 3/2020)

在这个实践课程中，您将从头开始学习 Python，直到您可以使用它构建几乎任何东西，无论是功能齐全的面向数据库的 Web 应用程序还是自动化工具。

本课程将从一个非常基础的级别从头开始教您 Python，并将逐步将您带入更高级的主题。

我们不仅涵盖了所有 Python 基础知识，还涵盖了最流行的 Python 库，例如 Django、Flask、Tkinter 和 Selenium。

完整课程分为 11 个主要部分。

以下是您将在每个部分中学到的内容的简要说明。

第 1 部分：Python。

本节涵盖 Python 的所有基础知识，从安装所需工具开始，涵盖数学运算符、字符串、接受用户输入、字符串操作、变量、if、elif 等条件、while 和 for 循环等控制结构、函数等主题、模块和包、列表、文件处理、Python 中的 OOP、正则表达式。本节涵盖了几乎所有基本的 Python 概念。

第 2 部分：使用 Tkinter 在 Python 中制作 GUI。

完成基础知识后，我们知道学习 Tkinter 库，它允许我们使用 Python 创建基于桌面的应用程序。我们学习如何使用 Tkinter 和 Python 创建 GUI 应用程序，并构建一个功能齐全的桌面应用程序，即计算器。

第 3 部分：使用 PostgreSQL 制作面向数据库的桌面应用程序。

仅仅制作一个简单的桌面应用程序是不够的，它需要一个后端数据库来存储一些数据。为此，我们将学习如何将我们的桌面应用程序连接到后端。在本节中，我们使用 Python、Tkinter 构建了一个学生管理系统软件来设计 GUI 和 PostgreSQL 数据库，以便在后端存储我们应用程序的数据。

第 4 节：数据分析。

Python 被广泛用于数据科学领域，因此学习如何使用 Python 分析数据非常重要。因此，在本节中，我们将学习如何使用用于执行数据分析的工具和技术。我们首先学习用于执行数据分析的 Pandas 库和所有基本概念，如数据帧、重新索引、索引、广播，还学习如何使用 Matplotlib 库执行数据绘图和可视化。

第 5 部分：Python Web 框架 Django。

本节将教你如何使用 Python 和 Django 构建全栈 Web 应用程序。Django 是 Python 最流行的 Web 框架之一，用于编写 Web 应用程序的后端。在本节中，我们将从基础开始学习 Django，并将构建一个简单的书店 Web 应用程序。我们将学习如何创建模型、如何路由 URL 请求、如何为我们的 Web 应用程序创建不同的视图、如何集成 HTML 模板等等。

第 6 节：Python Web 框架 Flask。

Flask 是 Python 的微型 Web 框架，用于构建更简单的 Web 应用程序。如果你想开发一些简单的小型网站，你可以使用 Flask 来完成。在本节中，我们将介绍烧瓶基础知识，如路由、动态 URL、模板、将数据传递到服务器和站点 cookie。

第 7 节：使用 Django Rest 框架的 REST API。

在本节中，我们将学习如何使用 Django Rest Framework 构建我们自己的 REST API。如果您已经构建了 Django Web 应用程序，则可以使用 Django Rest Framework 为其创建 API 端点。在本节中，我们将构建一个功能齐全的 REST API，具有搜索、过滤和身份验证等功能。

第 8 节：Python 中的 Web Scraping。

Python 还可用于抓取网站并从中收集数据。在本节中，我们学习相同的内容，我们构建了一个网络爬虫，它可以爬取我们选择的任何网站并从中收集链接。许多搜索引擎使用网络爬虫对网站进行排名，在本节中，我们将学习如何使用 Python 构建更小的版本。

第 9 节：使用 Python 和 Selenium 实现自动化。

Python 也广泛用于自动化，尤其是用于测试。Selenium Web 驱动程序就是这样一种工具，它是为自动化测试而构建的，但它也可以用于自动化其他基于浏览器的任务。在本节中，我们将学习如何使用 Selenium 自动执行任务，还将构建一个 Facebook 机器人，它会自动为我们发布状态。

第 10 部分：最佳实践：编写简洁高效的 Python 代码。

要成为一名优秀的 Python 工程师/开发人员，您需要知道如何编写干净、简洁和高效的 Python 代码。在本节中，我们将学习一些在编写 Python 代码时必须遵循的最佳实践。

第 11 节：使用 Python 和 OpenCV 进行图像处理。

Python 还可用于处理和操作图像和视频。在本节中，我们将学习如何使用 OpenCV 库和 Python 来操作图像。我们学习了一些有趣的东西，比如捕捉网络摄像头视频、跟踪实时视频中的图像、不同的图像阈值技术、图像模糊、平均和高斯滤波。

h264, yuv420p, 1280×720 |ENGLISH, aac, 48000 Hz, 2 channels | 29h 00 mn | 5.43 GB
Created by: Ashutosh Pawar

Python course for beginners, Learn Python Programming , Python Web Framework Django, Flask, Web scraping and a lot more.

What you’ll learn

Learn the latest version of Python i.e Python 3
Understand & learn each and every Python concept.
Learn how to automate social media posts using Selenium
Make Web-Applications using Python.
Make GUI based Applications in Python using Tkinter
Learn how to make full-stack web apps using Python and Django
Learn how to process images & videos using OpenCV
Learn how to make your own web-scraping tool using Python
Build database oriented desktop apps with Python, PostgreSQL & Tkinter.
Understand all Django concepts
Understand all Flask Concepts
Learn how to perform data analysis using Python
Learn object oriented programming in Python

Requirements

No coding, or technical knowledge required.
A computer with internet connection.
No paid tools are required as the tools required for this course are free.
Passion and curiosity to learn someting new.

Description

The Complete Python Masterclass: Learn Python From Scratch

Here Is What You Get By Enrolling In This Course:

Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.

Awesome Quality Content: Over 29+ hours of HD(1080p) Videos.

Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, Flask, Tkinter, OpenCV, Desktop App development with PostgreSQL & Web Scraping.

24 X 7 Support: I will always be there to guide you in your journey to become Python expert.

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Here Is Everything You Will Learn In This Complete Course:

In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool.

This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics.

We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium.

The Complete Course is divided into 11 Major sections.

Here is a brief description of what you will learn in each section.

Section 1: Python.

This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section.

Section 2: Make GUI In Python Using Tkinter.

Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator.

Section 3: Making Database Oriented Desktop Apps With PostgreSQL.

Making a simple desktop app alone isn’t sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend.

Section 4: Data Analysis.

Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library.

Section 5: Python Web Framework Django.

This section will teach you how to build full-stack web applications with Python & Django. Django is one of the most popular web frameworks for Python and is used to program the back-end side of out web app. In this section we will learn Django right from basics and will build a simple book store web application. We will learn how to create models, how to route URL requests, how to create different views for our web app, how to integrate HTML templates and a lot more.

Section 6: Python Web Framework Flask.

Flask is a micro web framework for Python used to build simpler web apps. If you want to develop some simple and small websites, you can do so using Flask. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies.

Section 7: REST APIs Using Django Rest Framework.

In this section we learn how to build our own REST APIs using the Django Rest Framework. If you already have a Django web app built, you can create API endpoints for it using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication.

Section 8: Web Scraping in Python.

Python can also be used to crawl websites and gather data from it. In this section we learn the same, we build a web crawler which crawls up any website of our choice and gathers links from it. Web crawlers are used by many search engines to rank websites and in this section we learn how to build a smaller version of it using Python.

Section 9: Automation with Python & Selenium.

Python is widely used for automation as well, especially for testing. Selenium web driver is one such tool which has been built for automating tests but the same can be used for automating other browser based tasks as well. In this section we learn how to automate tasks using Selenium and will also build a Facebook Bot that automatically posts status for us.

Section 10: Best Practices: Writing Clean & Efficient Python Code.

To be a good Python engineer/ developer you need to know how to write clean, concise and efficient Python code. In this section we learn some of the best practice that you must follow while writing Python code so.

Section 11: Image Processing With Python & OpenCV.

Python can also be used to process and manipulate images and videos. In this section we learn how to use OpenCV library with Python to manipulate images. We learn some interesting things like capturing webcam video, tracking images from a live video, different image thresholding techniques, image blurring, averaging and Gaussain filtering.

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So let’s begin the journey of becoming an expert in Python.

In addition to the Udemy 30-day money back guarantee, you have my personal guarantee that you will love what you learn in this course. If you ever have any questions please feel free to message me directly and I will do my best to get back to you as soon as possible!

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Make sure to enrol in the course before the price changes.

Take yourself one step closer towards becoming a professional Python developer by clicking the “take this course button” now!

Join the journey.

Sincerely,

Ashutosh Pawar
Who this course is for:

Beginners who want to learn Python.
Beginners who want to learn Django.
Beginners who want to learn Flask.
Web Developers.
Students who wish to learn a new skill to develop their career.