Complete Python Megacourse- Beginner to Expert

Complete Python Megacourse: Beginner to Expert, available at $69.99, has an average rating of 4.85, with 220 lectures, based on 11 reviews, and has 1096 subscribers.

You will learn about The essential Python programming language How to use Python professionally or for personal tasks How to solve problems involving conditional statements How to build programs using advanced Python features Create games with Python like Rock paper scissors Gain and improve your coding skills How to build projects and applications like a Banking System from scratch Create a portfolio of Python projects that will allow you to apply to developer jobs Understand Python 2 and Python 3 Using lists, tuples, dictionaries, and sets to organize data and solve problems Working with functions and strings to create reusable code and manipulate text This course is ideal for individuals who are Anyone who wants to learn software development and programming- no experience needed! or Programmers who want to switch languages to Python or Anyone who has started working with Python but wants to level up their skills or Anyone who wants to start building their own websites and web apps It is particularly useful for Anyone who wants to learn software development and programming- no experience needed! or Programmers who want to switch languages to Python or Anyone who has started working with Python but wants to level up their skills or Anyone who wants to start building their own websites and web apps.

Enroll now: Complete Python Megacourse: Beginner to Expert

Summary

Title: Complete Python Megacourse: Beginner to Expert

Price: $69.99

Average Rating: 4.85

Number of Lectures: 220

Number of Published Lectures: 220

Number of Curriculum Items: 220

Number of Published Curriculum Objects: 220

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

The essential Python programming language

How to use Python professionally or for personal tasks

How to solve problems involving conditional statements

How to build programs using advanced Python features

Create games with Python like Rock paper scissors

Gain and improve your coding skills

How to build projects and applications like a Banking System from scratch

Create a portfolio of Python projects that will allow you to apply to developer jobs

Understand Python 2 and Python 3

Using lists, tuples, dictionaries, and sets to organize data and solve problems

Working with functions and strings to create reusable code and manipulate text

Who Should Attend

Anyone who wants to learn software development and programming- no experience needed!

Programmers who want to switch languages to Python

Anyone who has started working with Python but wants to level up their skills

Anyone who wants to start building their own websites and web apps

Target Audiences

Anyone who wants to learn software development and programming- no experience needed!

Programmers who want to switch languages to Python

Anyone who has started working with Python but wants to level up their skills

Anyone who wants to start building their own websites and web apps

Learn programming in Python!

Develop like a pro!

Have you ever wanted to develop a solid programming skillset in Python?

Programming is currently the most important knowledge you could have, and it will be from now on. From developing an app to creating the e-shop for your favorite brands, the things you can do with programming are endless. Python is ranked as the fastest growing programming language since 2022 and the demand for Pythoneers has not ceased to increase. Not only that you can use Python to improve your chances of finding a job, but you can also make use of it to automate your daily tasks either professionally or personally, and we’re here to teach you how.

In this course, you will become familiar with several computer science concepts that we implement using Python. Therefore, both your problem-solving skills and coding abilities will be sharpened throughout this course to prepare you for the next step in your career. As a general-purpose programming language, Python is used in several fields, including Machine Learning, Data Analysis, Backend Systems, Web Scraping, and Automation. Before exploring each of these topics, we will develop the skills necessary to write Python code following proper practices.

Our instructors have years of experience not only in programming, but also in teaching, and the expertly-crafted syllabus is designed to be easy to follow and thorough. We’ve even included plenty of practice problems and real-life projects. That’s why this is the only Python course you’ll ever need to start programming like a pro!

After taking this course, you will be able to:

Work professionally with Python

Handle files and dictionaries

Develop the first project for your start up

Code professionally in Python

Create your own Python programs

Demonstrate your knowledge of Python programming

Analyze the complexity of algorithms and implement sorting algorithms like selection sort, bubble sort, and insertion sort.

Start developing your projects today!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Chapter 2: Introduction to Python

Lecture 1: Python Characteristics

Lecture 2: Python 2 vs Python 3

Lecture 3: Installation, Jupyter, and Demo

Chapter 3: Python Basics

Lecture 1: Taking Input Data from the User

Lecture 2: Output Formatting

Lecture 3: Math Library in Python Part I

Lecture 4: Math Library in Python Part II

Lecture 5: Random Module in Python

Lecture 6: Random Module – Game Demo

Lecture 7: Generating Sequences using Range in Python

Lecture 8: Python Variables and Data Types

Lecture 9: More on Python Variables

Chapter 4: Conditional Statements

Lecture 1: Truth Values and Simple Conditional Statements

Lecture 2: Problem Solving Involving Conditional Statements I

Lecture 3: Problem Solving Involving Conditional Statements II

Lecture 4: Rock Paper Scissors Game in Python

Lecture 5: Capitals Game in Python

Chapter 5: Iterative Statements

Lecture 1: Introduction

Lecture 2: For-Loops and While Loops

Lecture 3: Printing Shapes Using Loops

Lecture 4: Building Shapes with Numbers Using Loops

Lecture 5: Finding LCM, GCD and Binary Conversion

Lecture 6: Nested Loops Introduction

Lecture 7: Nested Loops and Pattern Finding

Lecture 8: Nested Loops and Narcissistic Numbers

Chapter 6: List and Tuples

Lecture 1: Mutability Versus Immutability

Lecture 2: Common Methods in Lists

Lecture 3: Tuple Basics, Copy and Deepcopy Methods

Lecture 4: Tuple Basics and Zip Method

Lecture 5: Inner Product and Sorting a List of Tuples

Lecture 6: Practice Problems I

Lecture 7: 2-Dimensional Lists (List of Lists) Part I

Lecture 8: 2-Dimensional Lists (List of Lists) Part II

Chapter 7: Dictionaries

Lecture 1: Introduction to Dictionaries

Lecture 2: Most Common Methods in Dictionaries

Lecture 3: Simple Manipulations with Dictionaries

Lecture 4: Dictionaries Practice Problems I

Lecture 5: Handling a List of Dictionaries

Lecture 6: List of Dictionaries and JSON Objects

Lecture 7: Creating a JSON File Using a Dictionary of Dictionaries

Chapter 8: Sets in Python

Lecture 1: Nature of Sets and Methods in the Normal and Frozen Sets

Lecture 2: Working with Frozen Sets and Evaluating Mathematical Set Expressions

Chapter 9: Functions

Lecture 1: Introduction to Functions

Lecture 2: Translating a Code Snippet to a Function Part I

Lecture 3: Translating a Code Snippet to a Function Part II

Lecture 4: Translating a Code Snippet to a Function Part III

Lecture 5: Translating a Code Snippet to a Function Part IV

Lecture 6: Translating a Code Snippet to a Function Part V

Chapter 10: Strings

Lecture 1: Introduction to Strings and Most Common Methods

Lecture 2: More on String Methods

Lecture 3: String Boolean Methods Part I

Lecture 4: String Boolean Methods Part II

Lecture 5: String Boolean Methods Part III

Lecture 6: String Boolean Methods Part IV

Lecture 7: String Boolean Methods Part V

Lecture 8: String Boolean Methods Part VI

Lecture 9: String Boolean Methods Part VII

Lecture 10: String Boolean Methods Part VIII

Lecture 11: String Boolean Methods Part IX

Chapter 11: Data Structures

Lecture 1: Linear Data Structures: Stacks, Push and Pop Operations

Lecture 2: Using Stacks to Check for Balanced Expressions

Chapter 12: File Handling

Lecture 1: Files Handling Part I

Lecture 2: Files Handling Part II

Lecture 3: Files Handling Part III

Lecture 4: Files Handling Part IV

Lecture 5: Files Handling Part V

Lecture 6: Files Handling Part VI

Chapter 13: Projects

Lecture 1: Dictionaries Mini Project 1

Lecture 2: Mini Project 2 Workspace Monitoring System Part I

Lecture 3: Mini Project 2 Workspace Monitoring System Part II

Lecture 4: Bisection Method

Lecture 5: Banking System I

Lecture 6: Banking System II

Lecture 7: Banking System III

Lecture 8: Banking System IV

Lecture 9: Banking System V

Lecture 10: Banking System VI

Lecture 11: Banking System VII

Lecture 12: Banking System VIII

Lecture 13: Banking System IX

Lecture 14: Banking System X

Lecture 15: Banking System XI

Lecture 16: Banking System XII

Lecture 17: Banking System XIII

Lecture 18: Banking System XIV

Lecture 19: Banking System XV

Instructors

Creativity Unleashed
Amazing online courses to unleash your creativity

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