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The Complete Python Masterclass

Course

THE COMPLETE PYTHON MASTERCLASS

Category

Python Professional Institute

Eligibility

Working Professionals and Freshers

Mode

Both Classroom and Online Classes

Batches

Week Days and Week Ends

Duration :

Daily 2 hrs during Weekdays

Python What will you learn?

•Learn the core concepts of Python.
•What are the advantages of Python?
•Learn Everything you need to know about Python!
•Learn a few useful and important topics in Python.
•You will know how to design Python from scratch.
•Master the latest version of Python and create real projects
•Learn A to Z of Python from Basic to ADVANCE level.
•Understand Python and how to use it to write styles programmatically in Python.
•Learn the fundamentals of the Python using both a theoretical and practical approach

the complete python masterclass Course Features

•Most comprehensive Industrry curriculum
• First step to landing an entry-level job
•Accessibility of adequate training resources
•Best Opportunity To Both Learn And Work From Home
•Indutry oriented training with corporate casestudies
•Repeating of lectures allowed (based on seat availability)
•Affordable fee structure to help as many students strive career in IT industry
•Very in depth course material with Real Time Scenarios for each topic with its Solutions for Online Trainings.

Who are eligible for Python

•Cloud Computing, Cyber Security, Iot, Big Data, Business Analytics, Data Science, Python, Node.js, React.js, Hadoop, Aws, Qa
•Java Developer, Manual Testing, Automation Testing, Oracle Developer, Sybase Developer, SQL Server Developer with SSIS and SSRS, Windows/Weblogic Application
•Lamp/mean Stack Developers, Php, Node.js, Ui Development, Html5, WordPress, Ecommerce Development, jquery, Web Development, javascript, mysql, ajax, React.js
•Qa Automation, Ror Developer, Android Developer, Bluetooth Developer, Android Application Developer, Embedded Development, Javascript, Ruby, Postgres, SQL
•WCS, Hybris, ATG, Java, Linux Administrator, mobile, ECommerce Technologies, Testing, UI, Big Data, Cloud, iOS, Android

THE COMPLETE PYTHON MASTERCLASS Topics

Download the course material here AND DISCORD
•Install required tools and Hello World
•Python Basics
•Intro
•Important note
•Numbers in Python
•Variables in Python
•Strings in Python
•Number or String?
•[skip if solved] Sample solution Quiz: Number or String
•Python Bascis
•Lists in Python
•[skip if solved] Sample solution Quiz: Lists in Python
•Lists – pop function
•Handout: Lists in Python
•Motivation
•Convert Data 1
•Convert Data 2
•Comments
•Comment s in Python
•[skip if solved] Sample solution Quiz: Comments
•For your reading
•Exercise Sheet
•[skip if solved] Sample solution Python Basics
•Control Structures
•if, else
•Comparison Operators
•Connect Expressions And Booleans
•Leaflet: Comparison Operators
•If & Booleans
•[skip if solved] Sample solution Quiz: If & Booleans
•The In Operator
•The Not Operator
•Leaflet: Operators and Lists
•[skip if solved] Sample solution Quiz: The Not Operator
•elif
•Control Structures
•While Loop
•For Loop
•When To Use Which Loop?
•In, Loops,…
•[skip if solved] Sample solution Quiz: In, Loops,…
•Loops (break, continue)
•Excursus: How to Handle Problems
•Project: Trump Twitter Bot
•Leaflet: Loops
•[skip if solved] Sample solution Challenge Control Structures
•Functions
•Functions 2
•Outlook – Objects
•Intro: Opening a File
•Open a File
•Write a File
•File And the With Keyword
•Open CSV
•Read And Skip Rows in CSV
•Excursus: Drawing Graphics
•Info: Birth statistics
•Birth Statistics
•[skip if solved] Sample solution Challenge Birth Statistics
•Leaflet: Functions and Methods
•Tips on how to solve Functions Challenge
•[skip if solved] Sample solution Challenge Functions
•Lists Intro
•Working with Lists
•List Slicing
•[skip if solved] Sample solution Quiz: List Slicing
•List Comprehension
•Outlook – Tuple & Dictionaries
•Dictionaries
•[skip if solved] Sample solution Quiz: Dictionaries
•Tupel
•Packing and Unpacking of Tuples
•Dictionaries and Loops
•Tips: Dictionaries & Loops
•Check Your Solution: Challenge Dictionaries & Loops
•[skip if solved] Sample solution Challenge Dictionaries & Loops
•Nest Data Structures
•Leaflet: Dictionaries, Lists and Tuples
•Object Oriented Programming
•Class and Method
•Constructor and Methods
•Why Private Properties and Methods?
•Private Properties and Methods
•Why do We Encapsulate Data?
•Special Methods
•Inheritance in Python
•[skip if solved] Sample solution Challenge: Inheritance and Object Orientation
•Check Types Of Variables
•In Python Everything is an Object
•How to name Variables, Classes and Methods
•Static Variables
•Leaflet: Object Orientation
•[skip if solved] Sample solution Challenge: Object Orientation
•Module in Python
•Load Code from a seperate File
•Different Ways to Import Modules
•Create Modules in a Folder
•Modules
•Leaflet: Module in Python
•[skip if solved] Sample solution Quiz: Modules
•Example of a Module
•Crawler
•Excursus: What is HTML?
•Get HTML Code
•beautifulsoup
•Excursus: CSS-Selectors 1
•Excursus: CSS-Selectors 2
•Find Elements 1
•Find Elements 2
•Find Elements – urllib
•Note: Encoding, Writing a File
•Open CSV File with Excel
•Generators
•Use Generators with a Crawler
•Install PyCharm and Make a Real Program from our Crawler
•Make a Real Program from our Crawler
•Exceptions
•Create Multiple and your own Exceptions
•The finally Construct
•The With Construct
•Leaflet: Exceptions
•[skip if solved] Sample solution Challenge: Exceptions
•Data Structures in Python
•Overview: What are Data Structures?
•Data Structure: Set
•Test your Solution: Sets
•Sample Solution: Sets
•Data Structures
•Sample Solution: Quiz Data Structures
•Data Structure: queue
•Data Structure: priority queue
•Overview: Data Strcutures
•Check Your Solution: Priority Queue
•Sample Solution: Priority Queue
•Relevant Readings
•Miscellaneous (1) – Functions Parameters and Sorting
•Excursus name Functions Parameters
•Excursus – How to pass a Functions Argument
•Pass Variable Amount of Arguments
•Pass Variable Amount of Arguments
•Leaflet: Pass Variable Amount of Arguments
•Sort Data
•Lambda Functions
•User-Tipp: Regular Expressions
•Use Regular Expressions
•Exercise: Functions Parameters and Lambda Functions
•Sample Solution: Functions Parameters and Lambda Functions
•Miscellaneous (2) – The datetime Module and String Formatting
•Working With Dates And Their Values
•Format Date Entries And Read Them
•TimeDelta
•Leaflet: Dates in Python
•Date Functions
•Sample Solution: Date Functions
•Enhanced String Functions
•Leaflet: Strings
•Format Strings
•Leaflet: Format Strings
•String – Functions
•Sample Solution: Quiz String Functions
•DefaultDict
•Miscellaneous (3) – Working with Pycharm
•Outlook, What To Expect In This Chapter
•Python Programs With PyCharm
•Start Python Programs With Terminal
•Start Python Programs With Terminal (Windows)
•Start Python Programs via Shortcut (Windows)
•The input() Function
•sys.argv in Python
•Working with Folders
•Os Path Join With Multiple Parameters and Dot Dot
•Charset UTF-8
•Open Files With UTF-8
•Check Your Solution: How Many Max’s?
•Sample Solution: How Many Max’s
•Jupyter Notebooks
•Jupyter As IDE
•Jupyter Notebooks Markdown
•Using Mathematical Expressions in Jupyter Notebooks
•Problem: Jupyter Widget Not Displaying?
•Jupyter Widgets
•Interact With Jupyter Notebooks
•Excursus: Write CSV Files
•Sample Solution: Jupyter Widgets
•Flask
•Note
•Excursus HTML 1
•Excursus HTML 2
•Excursus CSS 1
•Excursus CSS 2
•Info about Course Materials
•Hello World in Flask
•Generate HTML-Code with Flask
•Static
•Template
•Template Inheritance
•Style our Navigation
•Pass URL-Parameter
•Submit Formulars per GET
•Fill Input Field
•Pass Classes and Dictionaries to a View
•Pass Tuple to View
•View vs Python – File for Logic
•Info – dictionary.get
•Excursus HTML – How to create a Table
•Excursus HTML – How To Split Your Page
•Sample Solution 1
•Sample Solution 2
•Sample Solution 3
•Decorators 1
•Decorators 2
•Decorators 3
•Flask – What’s next?
•The Data Science Stack
•Numpy Intro
•Filter Numpy Arrays
•Numpy and Multi Dimensional Arrays
•How Does Numpy Actually Work?
•Pandas – Intro
•Pandas – Filter Data
•Pandas – Sort Data
•Pandas – Draw Graphic Based On Excel Data
•Matplotlib intro
•Matplotlib graphic – parameters
•When To Use Which Diagram Type?
•Different Diagram Types
•Overview: The Datascience- Stack
•Data Science – Stack
•[skip if solved] Sample solution Quiz: Data Science – Stack
•Machine Learning
•Machine Learning With Linear Regression
•Image Processing with OpenCV
•OpenCV Intro
•Installing OpenCV
•Load Image To OpenCV
•Color Presentation And OpenCV
•How Are Numbers Optimised And Stored Internally In OpenCV
•Increase Brightness 1
•Increase Brightness 2
•Draw A Rectangle
•Face Detection
•QT
•QT Intro
•Installing qt and pyqt and qtpy
•First Desktop Application with pyqt
•Build UI with drag and drop
•Qt Creator 1
•Qt Creator 2
•Qt Creator 3
•Concept: Signals and Slots
•Signals and Slots
•Signals and Slots Python
•Restructor Python Code
•Read Input and access Properties
•Build BMI Calculator 1
•Sample Solution BMI Calculator
•Naming Functions and Variables
•Datatype Conversion pyqt – cpp
•The Table – Widget 2
•Configure Properties based on Table Widget
•Documentation