Learn Python Programming Masterclass
Learn Python Programming Masterclass, available at $19.99, has an average rating of 4.45, with 171 lectures, 12 quizzes, based on 51 reviews, and has 473 subscribers.
You will learn about Learn Python from Zero to Hero. Fundamental understanding of the Python programming. Learn to use Python professionally, learning both Python 2 and Python 3. Learn advanced Python features, like collections, modules. Learning all the basic topics, like conditional statements, looping, advanced operators Understand how to use Data Structures, like Lists, Tuple, Set and Dictionary. Get an understanding of how to create GUIs. Developing 6 major projects including Face Recognition, Automate Weather Forecast and many such interesting projects. Learn how to use Object Oriented Programming with classes. Understand how to execute the .py programs with ATOM and Visual Studio. Course includes Python Cheat Sheet This course is ideal for individuals who are Beginners who have never programmed before. or Programmers who are switching other programming languages to Python. or Programmers who want to level up their skills. It is particularly useful for Beginners who have never programmed before. or Programmers who are switching other programming languages to Python. or Programmers who want to level up their skills.
Enroll now: Learn Python Programming Masterclass
Summary
Title: Learn Python Programming Masterclass
Price: $19.99
Average Rating: 4.45
Number of Lectures: 171
Number of Quizzes: 12
Number of Published Lectures: 171
Number of Published Quizzes: 12
Number of Curriculum Items: 183
Number of Published Curriculum Objects: 183
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn Python from Zero to Hero.
- Fundamental understanding of the Python programming.
- Learn to use Python professionally, learning both Python 2 and Python 3.
- Learn advanced Python features, like collections, modules.
- Learning all the basic topics, like conditional statements, looping, advanced operators
- Understand how to use Data Structures, like Lists, Tuple, Set and Dictionary.
- Get an understanding of how to create GUIs.
- Developing 6 major projects including Face Recognition, Automate Weather Forecast and many such interesting projects.
- Learn how to use Object Oriented Programming with classes.
- Understand how to execute the .py programs with ATOM and Visual Studio.
- Course includes Python Cheat Sheet
Who Should Attend
- Beginners who have never programmed before.
- Programmers who are switching other programming languages to Python.
- Programmers who want to level up their skills.
Target Audiences
- Beginners who have never programmed before.
- Programmers who are switching other programming languages to Python.
- Programmers who want to level up their skills.
Welcome to Python Programming Bootcamp. One single course to start your Python Journey as a Fresher Step by Step. This course touches on each and every important concept of Python with latest version of Python 3.7, Python 3.8, and Python 3.9.
Learn one of employer’s most requested skills of 2021!
Throughout the course, we will explore the most important Python Programming Features –
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Basics of Python – Expressions, Variables, and Input Output Statements
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Operators– Assignment Operators, Relational and Logical Operators, Short Hand Operators
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Conditional Statements – If Else Statement, Nested If Else
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Methods – Parameters, Passing Arguments, and Return Values
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Complete Object Oriented Programming – Classes and Objects
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OOPs Features – Encapsulation, Inheritance, and Abstract Classes.
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Data Structures In depth – List, Set, Dictionary, and Tuples
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Loops– For Loop, While Loop, Keywords: Break and Continue
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Mutability and Immutability of Python Basic Types.
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Built-in And User Defined Modules
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Errors And Exception Handling with try except block – try, except, else, and finally.
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Custom Exception – Raising Exception, Creating, and Raising a Custom Exception.
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Python 3 Cheat sheet
Here are some projects that we will explore:
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Face recognition with OpenCV in Python
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Data Analysis With Pandas
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Graphical User Interface Applicationwith Tkinter
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Password Generatorwith Random Module
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Understanding the basics of Databasesand Integrating Desktop Application with SQLite3Database.
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Automate Weather Forecast
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Automated Web Scraper and Mailing System with BeautifulSoup
So basically we will work on 6 different Projects With OpenCV, Pandas, Tkinter, BeautifulSoup& more.
The main goal of this course is to learn programming by building projects.
Course Curriculum
Chapter 1: Python in 2021
Lecture 1: Course Introduction
Lecture 2: Welcome – Lets Get Started
Chapter 2: Setup Installing Python
Lecture 1: Python Programming – Is Python A Bubble
Lecture 2: Installing Python on Windows
Lecture 3: Python 3.9 Version Update
Lecture 4: Different Methods To Execute Python Codes
Chapter 3: Writing our 1st Python Program
Lecture 1: Variables and Python Memory Management
Chapter 4: DataTypes in Python
Lecture 1: Datatypes in Python
Lecture 2: Sequences in Python
Lecture 3: Sets, Dictionary
Lecture 4: Literals and Identifiers
Lecture 5: Reserve Words – You Can't Use Them!
Chapter 5: Operators in Python
Lecture 1: Operators Arithmetic, Assignment
Lecture 2: Operators Unary Minus, Relational, Logical, Boolean
Lecture 3: Understanding Escape Characters
Chapter 6: Input and Output
Lecture 1: Introduction to Input and Output Statements
Lecture 2: Output Statements
Lecture 3: Input Statements
Lecture 4: Python Built-in Functions and Built-in Module
Lecture 5: Practice Questions
Lecture 6: Solutions for Practice Questions
Chapter 7: Integrated Development Environment (IDE)
Lecture 1: Editor 1 – Working With ATOM
Lecture 2: Editor 2 – Working With VS Code
Lecture 3: Run .py file through System Terminal
Chapter 8: Python Conditional Statements
Lecture 1: Conditionals If, If … Else and Indentation
Lecture 2: Conditionals If … Else Statements With Operators
Lecture 3: Conditionals if… elif … else Statements, Nested if Statements
Lecture 4: Practice Questions
Lecture 5: Solutions for Practice Questions
Chapter 9: Loops in Python
Lecture 1: While Loop
Lecture 2: For Loops – Part 1
Lecture 3: For Loops – Part 2
Lecture 4: Break and Continue Statements
Lecture 5: Practice Questions
Lecture 6: Solutions for Practice Questions
Chapter 10: Strings and Characters
Lecture 1: Comments and Doc Strings
Lecture 2: Diving Deep With Strings
Lecture 3: Practice Questions
Lecture 4: Solutions for Practice Questions
Chapter 11: Lists, Tuples, and Dictionary
Lecture 1: Diving Deep – List
Lecture 2: Diving Deep – Tuples
Lecture 3: Diving Deep – Dictionaries
Lecture 4: Indexing, Slicing, Negative Indexing
Lecture 5: Practice Questions
Lecture 6: Solutions for Practice Questions
Chapter 12: Functions
Lecture 1: What are Functions
Lecture 2: Parameters, Arguments, Return
Lecture 3: Formal and Actual Arguments (arg, *arg, **karg)
Lecture 4: Local and Global Variables
Lecture 5: Practice Questions
Lecture 6: Solutions for Practice Questions
Chapter 13: Object Oriented Programming (OOP)
Lecture 1: Introduction to Object Oriented Programming (OOP)
Lecture 2: Classes and Objects in Python (OOP)
Lecture 3: Understanding init() Method and _self _ Parameter
Lecture 4: Solving Task OOPS
Lecture 5: Defining Multiple Constructors in Python
Lecture 6: Encapsulation
Lecture 7: Public And Private Methods
Lecture 8: Inheritance
Lecture 9: Getter and Setter
Lecture 10: Creating And Importing Module
Lecture 11: Creating User Defined Module
Lecture 12: Multiple Inheritance
Lecture 13: Understanding super() Function [Part 1]
Lecture 14: Understanding super() Function [Part 2]
Lecture 15: Python Naming Convention (Classes, Variables, Functions, Methods …)
Lecture 16: Composition
Lecture 17: Aggregation
Lecture 18: Abstract Classes
Lecture 19: Discussing Over import And from
Lecture 20: Operator Overloading [Part 1]
Lecture 21: Operator Overloading [Part 2]
Lecture 22: Practice Questions
Lecture 23: Solutions for Practice Questions
Chapter 14: Object Oriented Programming (Theory)
Instructors
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Vikram Singh
Sr. Technical Analyst, working in MNC, experienced in Python
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 5 votes
- 4 stars: 18 votes
- 5 stars: 28 votes
Frequently Asked Questions
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Can I take my courses with me wherever I go?
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