You will be able and capable to program in Python professionally
You will master how Build GUI and Desktop applications with Python
You will able to use advanced Python features.
Ability to understand how to use and implement Jupyter Notebook
You will create a portfolio of a Python based project and how to share with others
You will have advance understanding of OOP, APIs, SQL, Git, GUIs, Flask, Django, Bootstrap, and many more
You will learn practical programming skills and tricks, and use tools to be job ready
You will be Program fluently in Python
You will learn Machine Learning Model
Learn Python best practices
Requirements
A computer / laptop / PC / Windows or Mac
Internet Access
Python Learner
Proficiency in English language
No previous knowledge of Python programming is needed
We will walk you through how to get software installed and setup.
Description
This Python course is designed to equip you with the essential skills required to become a proficient Python programmer, preparing you for job-ready roles in the tech industry. Guided by a certified trainer, you'll start with the basics of Python programming and progress to advanced topics such as data structures, object-oriented programming, web development, and data analysis.Our hands-on, project-based approach ensures you not only learn the theory but also apply Python to real-world scenarios. The course emphasizes problem-solving and practical coding exercises, making sure you're prepared for the demands of the workplace. By the end of the course, you'll have built a portfolio of projects, demonstrating your capabilities to future employers.Key Features:Led by a certified Python trainer with industry experienceReal-world projects to build your portfolioJob-ready training focused on industry-relevant skillsGet certified upon course completionAccess to career support and networking opportunitiesFollow along with real-world projects designed to help you build practical coding skills and a portfolio to showcase to potential employersGain hands-on experience with interactive coding challenges and quizzes to reinforce key concepts.Revisit the course content and resources anytime in the future to refresh your knowledge or catch up on new updates.Tools & Technologies:Python Scripting and AutomationPython Game DevelopmentWeb ScrapingHTML 5CSS 3Bootstrap 4Bash Command LineDatabasesSQLAuthenticationWeb Design
Overview
Section 1: Introduction
Lecture 1 Python Topics Introduction
Lecture 2 Instructor Introduction
Section 2: Python Introduction
Lecture 3 Intro To Python
Lecture 4 Features of Python
Lecture 5 Python Compilation
Section 3: Python Installation
Lecture 6 Python Installation Session 1
Lecture 7 Python Installation Session 2
Section 4: Handling Module
Lecture 8 Understanding Module Session
Lecture 9 Methods of Importing Module
Lecture 10 Types of Packages
Section 5: Simple Python Program
Lecture 11 Simple Python Program
Section 6: Variables, Constants and Literals
Lecture 12 Variables, Constants and Literals
Section 7: Writing Comments and Docstrings
Lecture 13 Writing Comments
Lecture 14 Writing Docstrings
Section 8: Object Types
Lecture 15 Object Type Session 1
Lecture 16 Numeric Object Type
Lecture 17 Sequence Object Type
Lecture 18 Sets
Lecture 19 Mapping Type
Lecture 20 Boolean Type
Lecture 21 Other Object Type
Lecture 22 Checking Object Type
Lecture 23 Type Casting
Section 9: Operator
Lecture 24 Operator in Python
Lecture 25 Arithmatic Operator
Lecture 26 Assignment Operator
Lecture 27 Comparison Operator
Lecture 28 Logical Operator
Lecture 29 Identity Operator
Lecture 30 Membership Operator
Lecture 31 Bitwise Operator
Lecture 32 Operator Precedence
Section 10: Control Flow Statements
Lecture 33 Control Flow Statements
Lecture 34 Conditional Statements
Lecture 35 Conditional Statement Session 2
Lecture 36 Conditional Statement Elif
Lecture 37 Conditional Statement Else
Lecture 38 Conditional Statement Nested If, Elif and Else
Section 11: Looping
Lecture 39 Looping Statement
Lecture 40 Looping Statement While
Lecture 41 Looping Statement For
Lecture 42 Looping Statement Else
Lecture 43 Looping Statement Nested
Section 12: Jumpt
Lecture 44 Jump Statements
Lecture 45 Jump Statement Break
Lecture 46 Jump Statement Continue
Lecture 47 Jump Statement Pass
Section 13: String
Lecture 48 String
Lecture 49 Accessing String
Lecture 50 String Methods
Lecture 51 String Slicing
Section 14: List
Lecture 52 List Session
Lecture 53 Accessing List Elements
Lecture 54 Looping List Elements
Lecture 55 List Slicing
Lecture 56 List Comprehension
Lecture 57 List Methods
Section 15: Tuple
Lecture 58 Tuple Session
Lecture 59 Accessing Tuple Elements
Lecture 60 Looping Tuple Element
Lecture 61 Tuple Slicing
Lecture 62 Tuple Method
Section 16: Dictionary
Lecture 63 Dictionary Session
Lecture 64 Accessing Dictionary Elements
Lecture 65 Looping Over Dictionary
Lecture 66 Dictionary Methods
Section 17: Function
Lecture 67 Function Session
Lecture 68 Defining a Function
Lecture 69 Calling a Function
Lecture 70 Returning Result from Function
Lecture 71 Returning Multiple Result from Function
Lecture 72 Formal and Actual Arguments
Lecture 73 Positional Argument
Lecture 74 Keyword Argument
Lecture 75 Default Argument
Lecture 76 Variable Length Argument
Section 18: Input and Output
Lecture 77 Inputs and Outputs
Lecture 78 Input Session
Lecture 79 Output Session
Section 19: Introduction to OOPs
Lecture 80 Intro to OOPs
Lecture 81 Features of OOPs
Section 20: Classes and Objects
Lecture 82 Classes and Objects
Lecture 83 Types of Variables
Lecture 84 Types of Methods
Section 21: Inheritance and Polymorphism
Lecture 85 Inheritance
Lecture 86 Super Method
Lecture 87 Types of Inheritance
Lecture 88 Polymorphism
Lecture 89 Operator Overloading
Lecture 90 Method Overloading
Lecture 91 Method Overriding
Section 22: Abstract Classes and Interfaces
Lecture 92 Abstract Class
Lecture 93 Interfaces
Section 23: Exception Handling
Lecture 94 Types of Error
Lecture 95 Exceptions
Lecture 96 Exception Handling
Lecture 97 User Defined Exception
Section 24: File Handling
Lecture 98 File Handling
Lecture 99 Text File Handling
Lecture 100 Write and Read Data
Lecture 101 Using With Statement
Lecture 102 Binary File Handling
Section 25: Regular Expression
Lecture 103 Regular Expression
Lecture 104 Using Single Step
Lecture 105 Find All
Lecture 106 Match Method
Lecture 107 Split Method
Lecture 108 Using Sub Method
Lecture 109 Special Character
Section 26: Date and Time
Lecture 110 Date and Time
Lecture 111 DateTime Module
Lecture 112 Time Module
Lecture 113 Calendar Module
Section 27: Course Conclusion
Lecture 114 Conclusion
Beginner learner,People interested in Data scientist,Developers,IT Industry Professional,University Students,Python Programming Enthusiast,Students who are interested in programming who have no prior programming experience,Python programmers who need a knowledge refresher

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