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:
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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
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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
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Creativity Unleashed
Amazing online courses to unleash your creativity
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- 4 stars: 3 votes
- 5 stars: 8 votes
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