Outstanding | Learn Python Programming After C / C++
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Are you familiar with C and C++ programming languages and ready to dive into the world of Python? “Learn Python After C C++” is the ideal course for you to leverage your existing programming knowledge and transition smoothly into one of the most versatile and in-demand programming languages. Python has a simple syntax, dynamic libraries, and immense applications across various industries, from web development to machine learning. This course is designed to bridge the gap between low-level languages like C/C++ and Python’s high-level functionality.
In this course, we cover Python fundamentals in an organized and structured way, focusing on how your background in C and C++ will help you excel in Python. By the end, you’ll have gained an in-depth understanding of Python and how it can enhance your career.
Course Outline
Chapter 1: Python Basics: Variables, Data Types, and Operators
Chapter 2: Control Structures: Loops, Conditional Statements
Chapter 3: Functions in Python
Chapter 4: Object-Oriented Programming in Python
Chapter 5: Working with Libraries and Modules
Chapter 6: File Handling and Exception Management
Chapter 7: Data Analysis with Pandas and NumPy
Why Learn Python After C C++?
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Python’s simplicity allows for faster development, saving time and effort.
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High-level applications of Python provide more job opportunities in fields like AI and data science.
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Python integrates easily with C/C++, making it ideal for multi-language projects.
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Python’s huge community ensures that there’s plenty of support and resources available for continued learning.
Benefits of Taking This Course
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Enhance your programming portfolio with Python expertise.
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Gain more job opportunities in industries like data analysis, AI, and software development.
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Make complex programming simpler and more efficient.
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Achieve fluency in Python, a highly versatile language used by top tech companies.
How to Make Money After Completing This Course
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Freelance Python development for web and software projects.
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Work as a data analyst or machine learning specialist.
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Contribute to open-source projects and get paid for your contributions.
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Build Python-based products or apps and sell them online.
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30 Days Money-Back Guarantee: If you are not satisfied with the course, you can get a full refund within 30 days.
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Certificate: You will receive a course completion certificate, which you can showcase to potential employers.
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101 Introduction to Chapter 01Video lesson
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202 Introduction to PythonVideo lesson
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303 Python Environment Setup & Hello World ProgramVideo lesson
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404 In C Cpp Environment SetupVideo lesson
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505 Input Output Function in PythonVideo lesson
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606 Important Concepts in pythonVideo lesson
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707 Variabls and Declaration Rules in PythonVideo lesson
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808 Comments and its Types in PythonVideo lesson
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909 C Cpp Variables Declare and IntializationVideo lesson
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1010 Data Types in PythonVideo lesson
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1111 Introduction to Chapter 02 PythonVideo lesson
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1212 Decision Making in PythonVideo lesson
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1313 for LOOP in PythonVideo lesson
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1414 while Loop in PythonVideo lesson
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1515 C Cpp LoopsVideo lesson
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1616 Exercise 01 with SolutionVideo lesson
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1717 Exercise 02 with SolutionVideo lesson
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1818 Exercise 03 with SolutionVideo lesson
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1919 Exercise 04 with SolutionVideo lesson
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2020 Exercise 05 with SolutionVideo lesson
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2121 Introduction to Chapter 03Video lesson
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2222 Function in PythonVideo lesson
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2323 Return and Pass keyword in Function PythonVideo lesson
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2424 Arguments and Parameters in Python FunctionVideo lesson
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2525 Function in C CppVideo lesson
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2626 Keywords Arguments in Python FunctionVideo lesson
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2727 Default ParameterVideo lesson
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2828 Required Parameters in Python FunctionVideo lesson
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2929 Exersise 01 with SolutionVideo lesson
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3030 Exersise 02 with SolutionVideo lesson
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3131 Exersise 03 with SolutionVideo lesson
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3232 Chapter 04 Outline Python OOPVideo lesson
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3333 Python OOP Classes and Objects with ExamplesVideo lesson
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3434 Python Data Members in Python OOPVideo lesson
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3535 Python self Keyword in Python OOPVideo lesson
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3636 Python Constructor and its TypesVideo lesson
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3737 Destructor in Python OOPVideo lesson
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3838 Inheritance in Python OOPVideo lesson
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3939 super Keyword in Python OOPVideo lesson
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4040 Polymorphism with ExamplesVideo lesson
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4141 Access Specifiers in Python OOPVideo lesson
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4242 Python Chapter 05 OutlineVideo lesson
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4343 Modules and Libraries in PythonVideo lesson
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4444 Why use Libraries and ModulesVideo lesson
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4545 Common Python Standard LibrariesVideo lesson
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4646 Custom Modules in PythonVideo lesson
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4747 Managing External Libraries in PythonVideo lesson
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4848 Best Practices to Use External Python LibrariesVideo lesson
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4949 Chapter 06 OutlinesVideo lesson
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5050 Introduction to File Handling in PythonVideo lesson
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5151 Opening Reading Writing Closing a File in PythonVideo lesson
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5252 Append method in File HandlingVideo lesson
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5353 Working with Files Modes in PythonVideo lesson
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5454 Exception Handling in PythonVideo lesson
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