The Complete Python for Beginner-Master Python from scratch

Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. File size: 0.98 GBPurchase The Complete Python for Beginner-Master Python from scratch courses at here with PRICE $194 $42The Complete Python for Beginner-Master Python from scratchWhat you’ll learnLearn the latest version of Python i.e Python 3Understand & learn each and every Python concept.Learn how to automate social media posts using SeleniumMake Web-Applications using Python.Make GUI based Applications in Python using TkinterLearn how to make full-stack web apps using Python and DjangoLearn how to process images & videos using OpenCVLearn how to make your own web-scraping tool using PythonBuild database oriented desktop apps with Python, PostgreSQL & Tkinter.Understand all Django conceptsUnderstand all Flask ConceptsLearn how to perform data analysis using PythonLearn object oriented programming in PythonGet The Complete Python for Beginner-Master Python from scratch downloadCourse contentExpand all 311 lectures29:00:48-Introduction02:58Introduction To The CoursePreview02:58-Basic Python Concepts01:03:39Installing Python And PyCharm06:04Hello World Program In Python08:06Some other mathematical operations in Python06:14Strings In Python05:00Accepting input from the user in Python05:06Performing operations on a string in Python05:25Variables in Python06:33In place operators in Python.06:28Writing our very first program in PyCharm04:27Coding Challenge Part 107:31Quiz For Section 1:5 questionsNotes & Summary For Section 102:45-Control Structures In Python01:15:07If statement in Python08:32Elif statement in Python05:37Introduction to lists in Python06:17List operations in Python08:32List functions in Python07:20Range function in Python05:10Code reuse and functions in Python07:38For Loop in Python08:35Boolean logic in Python05:57While loop in Python05:48Quiz For Section 2:5 questionsCoding challenge 200:14Coding challenge 2 solution00:05Coding challenge 300:11Coding challenge 3 solution00:08Notes & Summary For Section 205:02-Functions & Modules In Python22:19Passing arguments to functions in Python06:28Making function return value in Python04:37Passing functions as arguments in Python05:19Modules in Python04:28Quiz For Section 3:3 questionsCoding challenge 400:16Coding challenge 4 solution00:09Notes & Summary For Section 301:02-Exception Handling & File Handling In Python38:32Errors & exceptions in Python07:59Exception handling in Python04:54Finally block03:23File handling06:43Reading data from file04:16Adding data to the file06:04Appending to a file02:01Quiz For Section 4:4 questionsCoding challenge 500:07Coding challenge 5 solution00:11Coding challenge 600:13Coding challenge 6 solution00:09Notes & Summary For Section 402:30-Some More Types In Python45:08Dictionaries07:10Dictionary Functions05:37Tuples03:41List Slicing05:19List Comprehension05:06String formatting05:35String functions07:57Numeric functions02:45Quiz For Section 5:2 questionsCoding challenge 700:10Coding challenge 7 solution00:08Coding challenge 800:05Coding challenge 8 solution00:05Notes & Summary For Section 501:28-Functional Programming In Python31:12Functional programming06:34Lambdas in Python05:06Map in Python06:06Filters in Python04:00Generators in Python06:28Coding challenge 900:19Coding challenge 9 solution00:10Coding challenge 1000:04Coding challenge 10 solution00:02Coding challenge 1100:13Coding challenge 11 solution00:08Notes & Summary For Section 602:00-Object Oriented Programming In Python01:38:13Introduction To Object Oriented Programming, Classes & Objects05:18Class Methods03:01Creating A Class & Defining Class Attributes06:54Instance Attributes & Constructor11:11Implementing Methods In Object Oriented Programming07:16Function Based vs OOP Way Of Writing Code08:35Inheritance06:47Multiple Inheritance04:07Multi-level Inheritance03:21Recursion in Python07:07Sets07:56Itertools09:23Operator overloading in Python07:42Data hiding in Python06:29Coding challenge 1200:30Coding challenge 12 solution00:29Coding challenge 1300:07Coding challenge 13 solution00:08Notes & Summary For Section 701:50-Regular Expressions In Python39:32Regular expressions in Python06:33Search & find all05:03Find & replace04:59The dot metacharacter03:33Caret & dollar metacharacter05:17Character class06:03Star metacharacter04:40Group03:24-Create GUI Apps In Python Using Tkinter01:12:12Tkinter : Hello world program07:09Tkinter: Using frames05:43Tkinter: Grid layout06:32Tkinter: Self adjusting widgets05:00Tkinter: Handling button clicks04:03Tkinter: Using classes10:39Tkinter: Using drop downs11:41Tkinter: Toolbar08:03Tkinter: Making Status Bar03:25Tkinter: Message box04:36Tkinter Drawing05:2116 more sectionsRequirementsNo 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.The Complete Python Masterclass: Learn Python From ScratchHere 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._________________________________________________________________________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._________________________________________________________________________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!_________________________________________________________________________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 PawarWho 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.Get The Complete Python for Beginner-Master Python from scratch downloadPurchase The Complete Python for Beginner-Master Python from scratch courses at here with PRICE $194 $42