Introduction To The Course
Anyonecan do (IT/NonIT)
39 hrscontent duration
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39 hrscontent duration
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38h 51mtotal duration
Introduction To The Course
Installing Python And PyCharm
Hello World Program In Python
Some other mathematical operations in Python
Strings In Python
Accepting input from the user in Python
Performing operations on a string in Python
Variables in Python
In place operators in Python.
Writing our very first program in PyCharm
Coding Challenge Part 1
If statement in Python
Elif statement in Python
Introduction to lists in Python
List operations in Python
List functions in Python
Range function in Python
Code reuse and functions in Python
For Loop in Python
Boolean logic in Python
While loop in Python
Passing arguments to functions in Python
Making function return value in Python
Passing functions as arguments in Python
Modules in Python
Errors & exceptions in Python
Exception handling in Python
Reading data from file
Adding data to the file
Appending to a file
Lambdas in Python
Map in Python
Filters in Python
Generators in Python
Introduction To Object Oriented Programming, Classes & Objects
Creating A Class & Defining Class Attributes
Instance Attributes & Constructor
Implementing Methods In Object Oriented Programming
Function Based vs OOP Way Of Writing Code
Recursion in Python
Operator overloading in Python
Data hiding in Python
Regular expressions in Python
Search & find all
Find & replace
The dot metacharacter
Caret & dollar metacharacter
Tkinter : Hello world program
Tkinter: Using frames
Tkinter: Grid layout
Tkinter: Self adjusting widgets
Tkinter: Handling button clicks
Tkinter: Using classes
Tkinter: Using drop downs
Tkinter: Making Status Bar
Tkinter: Message box
Building Calculator App Part 1
Building Calculator App Part 2
Building Calculator App Part 3
Building Calculator App Part 4
Introduction To Databases
Introduction To PostgreSQL
Installing PostgreSQL On Windows
Installing PostgreSQL On Mac
Creating A Database
Creating Table & Adding Data
Reading Data From Database
Setting Up Virtualenv on Mac
Setting Up Virtualenv On Windows
Connecting To Database With Python Code
Creating Database Tables With Python
Adding Data To Database Tables With Python
User Submitted Data To Database
Creating App Layout
Saving Entries To Database
Listing All Entries
Introduction to Data Analysis Using Python
Installing Tools For Data Analysis
Introduction to Pandas & Series
Converting Dictionaries to Series
Introduction to Data Frames
Changing Column Sequence
Changing Columns & Transposing Dataframe
Reindexing Series & DataFrames
Deleting Rows & Coulumns
Arithmetic operations on dataframe and series
Arithmetic operations in between dataframe and series
Sorting series and dataframes
Sorting according to values
Handling duplicate values
Calculating sum, max & min values
Dropping nan values
Loading data from a file
Analyzing file data
Creating Numpy Array
19 Another way to create an array
Logspace & Linspace
Slicing a Numpy Array
Advanced indexing and slicing techniques
Iterating using ndite
Plotting data using Matplotlib
Analysing Supermarket Sales Data Part 1: Reading CSV File
Analysing Supermarket Sales Data Part 2: Switching Up The Theme
Analysing Supermarket Sales Data Part 3: Accessing Different Parts Of Data
Analysing Supermarket Sales Data Part 4: Selecting Rows On A Condition
Analysing Supermarket Sales Data Part 5: Queries To Find Conditional Data
Analysing Supermarket Sales Data Part 6: Sum, Max, Min & Average
Analysing Supermarket Sales Data Part 7: Using GroupBy To Group Data By Location
Analysing Supermarket Sales Data Part 8: Finding Market Share
Analysing Supermarket Sales Data Part 9: Classifying Shoppers
Analysing Supermarket Sales Data Part 10: Analysing Memberships & Ratings
Analysing Supermarket Sales Data Part 11: Answering Multiple Queries
Analysing Supermarket Sales Data Part 12: Classifying Sales By Day
Analysing Supermarket Sales Data Part 13: Classifying Sales By Month
Analysing Supermarket Sales Data Part 14: Classifying Sales By Hour
Analysing Supermarket Sales Data Part 15: Classifying Payment Types With Hour
Django Tutorial 1: Installing Django on Windows
Django tutorial 2: Creating Our First Django Project
Django tutorial 3: Creating Our Own App
Django tutorial 4: Overview Of an App in Django
Django tutorial 5: Creating Our Own Views in Django
Django tutorial 6: Applying Migrations
Django tutorial 7: Creating Books Table in Django
Django tutorial 8: Final Steps in Creating Table
Django tutorial 9: Adding Data to the Database Tables
Django tutorial 10: Filtering the Results
Django tutorial 11: Admin Pannel in Django
Django tutorial 12: Creating Another View in Django
Django tutorial 13: Connecting to the Database
Django tutorial 14: Creating Templates
Django tutorial 15: Rendering Templates
Django tutorial 16: Raising a 404 Error
Django tutorial 17: Designing The Detail View
Django tutorial 18: Removing The Hardcoded Urls
Django tutorial 19: Namespaces in Django
Django tutorial 20: Using Static Files In Django
Django tutorial 21: Creating Our Navigation Bar
Django tutorial 22: Navigation Bar Touchup
Django tutorial 23: Using Base Templates
Django tutorial 24: Generic Views In Django
Django tutorial 25: Design Touchup
Django tutorial 26: Form To Add Books
Django tutorial 27: Form part -2
Using virtual environment
Django 2 Lecture 1 Creating a project
Django 2 Lecture 2 Creating An App
Django 2 Lecture 3 Overview of an app
Django 2 Lecture 4 Creating a View
Django 2 Lecture 5 Applying Migrations
Django 2 Lecture 6 Creating Models
Django 2 Lecture 7 Creating Database Tables
Django 2 Lecture 8 Adding Data To Database
Django 2 Lecture 9 Filtering Results
Django 2 Lecture 10 Creating A Super User
Django 2 Lecture 11 Creating Another View
Django 2 Lecture 12 Connecting To The Database
Django 2 Lecture 13 Creating Templates
Django 2 Lecture 14 Using Render
Django 2 Lecture 15 Raising 404 Error
Django 2 Lecture 16 Designing The Detail View
Django 2 Lecture 17 Removing Hard Coded URLs
Django 2 Lecture 18 Using Namespaces
Django 2 Lecture 19 Using Static Files
Django 2 Lecture 20 Designing Navbar
Django 2 Lecture 21 Navbar Touchup
Flask Tutorial 1: Creating Directory Structure
Flask Tutorial 2: Hello world
Flask Tutorial 3: Routing
Flask Tutorial 4: Variables
Flask Tutorial 5: Dynamic Urls
Flask Tutorial 6: Passing Data To The Server
Flask Tutorial 7: Templates
Flask Tutorial 8: Templates Passing Data
Flask Tutorial 9: Using Templates
Flask Tutorial 10: Passing Form Data To Templates
Flask Tutorial 11: Using Cookies
Introduction to API
Building a basic REST API using Django REST Framework
Creating API Endpoints
Adding Image Field
Python Web Crawler Part -1
Python Web Crawler Part -2
Python Web Crawler Part -3
Python Web Crawler Part -4
Python Web Crawler Part -5
Python Web Crawler Part -6
Python Web Crawler Part -7
Python Web Crawler Part -8
Python Web Crawler Part -9
Python Web Crawler Part -10
Python Web Crawler Part -11
Python Web Crawler Part -12
Python Web Crawler Part -13
Python Web Crawler Part -14
Python Web Crawler Part -15
Python Web Crawler Part -16
Python Web Crawler Part -17
Python Web Crawler Part -18
Python Web Crawler Part -19
Introduction to Selenium
Opening a URL
Automating Google Search
Find Elements By XPATH
Refreshing a Webpage
Using Forward and Backward Navigation Buttons
Scrolling and Getting the Current URL
Building A Facebook Auto Poster
Writing Clean Python Code: Best Practices part 1
Writing Clean Python Code: Best Practices part 2
Writing Clean Python Code: Best Practices part 3
Writing Clean Python Code: Best Practices part 4
Writing Clean Python Code: Best Practices part 5
Ports & Sockets
Creating A Client
Building The Messaging Functionality
Sending Messages To Client
Programming Send Functionality
Completing Our Chat App
Introduction To OpenCV
Reading & Displaying Images
Capturing Video From Webcam
Drawing Shapes On Images
Mouse Callback Events
Color Spaces In OpenCV
Object Tracking In Images
Object Tracking In Videos
Simple Thresholding Implementation
Adaptive Thresholding Implementation
Geometric Transformation Of Images
Geometric Transformation Of Images Implementation
Image Blurring Implementation
Updating entries in Django with UpdateView
Bootstrap part 1: Introduction To Bootstrap
Bootstrap Part 2: Adding Bootstrap To Our Site
Bootstrap Part 3: Bootstrap Grid System
Bootstrap Part 4: Grid Classes Part 1
Bootstrap Part 5: Grid Classes Part 2
Bootstrap Part 6: Grid Column Offset
Bootstrap Part 7: Making Images Responsive
Bootstrap Part 8: Nesting of Rows & Columns
Introduction to Regular Expressions & Raw Strings
Search & Match Methods
Introduction To Meta Characters
Introduction To Plus Meta Character
Plus Meta Character Example
Introduction To Curly Braces
Curly Braces Example
Introduction To Wildcard
Optional Meta Character
Caret Meta Character
Character Classes Part 1
Character Classes Part 2
Complete Understanding of Python from Scratch
Python for Data Science and Machine Learning
Write your own Custom Modules
Build Games with Python
Write your own Decorators and higher order functions
NumPy Array, NumPy Operations
Data Analysis with Pandas
Graphical User Interface (GUI) in Python
Functions and Lambdas Expressions
Error and Exceptions Handling
Create your own Generators and other Iterators
DataFrames, Pandas Series, Pandas Matrix
Matplotlib for Data Visualization
Data Analysis with NumPy
Master Object Oriented Programming (OOP) in Python 3
If-else statement, For loop and While loop
CREATE your own Programs and Applications
I enrolled on the Python course of Tutedude which helped me a lot. Tutedude as a learning platform just didn’t provide me with the course but also boosted my confidence level. The mentors were really helpful and always supported me in my learning period by mentoring me, I was just not taught how to code but also how to build something productive.
This course was impressive I'd suggest the course to anyone who wants to learn Python from scratch to an advanced level; I now feel 100% confident that I can continue with more advanced topics without getting lost. The lecturer is clear, concise, and extensive in his explanations and covered the material in a logical order.
A perfect extensive course for someone who is looking to build a career in Python from great mentors. They were available all the time for any kind of doubts I was facing. I also got hands on many projects throughout the course, now my mentors are helping me to get a good internship.
Enjoyed this course - the concepts were explained clearly and in a manner that a python beginner could understand. The projects and assignments added to the course were like cherries on the cake. After completing the course, I got an internship at a startup which was very insightful for my career. I would highly recommend everyone who wants to learn python.
The Complete Python Course: 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 38+ 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.
Live Support: Your mentors will be available on whatsapp or chat box to always guide you in your journey of Python.
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.
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Take yourself one step closer towards becoming a professional Python developer by clicking the "take this course button" now!
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