PyPro Internship Program 2.0

About Course

PyPro Internship Program

Welcome to the PyPro Internship Program, where your journey to mastering Python programming begins. Our meticulously crafted roadmap ensures a seamless learning experience, empowering you with the essential skills needed to excel in the field of software development.

Why Choose PyPro:

1. Comprehensive Curriculum: Led by industry experts, our program covers all aspects of Python programming, from its fundamentals to advanced concepts.

2. Practical Learning: Engage in hands-on exercises and projects that reinforce your understanding and prepare you for real-world challenges.

3. Industry-Relevant Skills: Gain expertise in Python’s syntax, data handling, and problem-solving techniques that are highly sought after by employers.

4. Personalized Mentorship: Receive guidance and support from experienced mentors who are dedicated to your success and growth.

Ready to embark on your journey to becoming a Python pro? Enroll now in the PyPro Internship Program and take the first step towards a rewarding career in software development. Let’s code your future together!

1: Introduction to Python
- Introduction to Python programming language, covering its history, features, and applications across various domains. Get familiar with Python's simplicity, readability, and versatility.
2: Setting up Python Environment
Learn how to set up Python on your system, including installation and configuring the development environment.
3: Basic Syntax and Hello World
Understand Python's basic syntax, variables, data types, and perform the traditional "Hello World" program.
4: Variables, Data Types, and Operators
Dive into variables, data types, and operators in Python, including type conversion and dynamic typing.
5: Conditionals and Control Flow Statements
Explore conditional statements and control flow mechanisms for decision making in Python.
6: Loops in Python
Learn about iteration using loops in Python, including for and while loops.
7: Functions
Understand functions in Python, including defining, calling, and passing arguments.
8: Modules & Packages
Explore modular programming in Python using modules, packages, and importing techniques.
9: File Handling
Learn to read from and write to files in Python, including file modes and manipulation techniques.
10: Object-Oriented Programming Basics
Get introduced to Object-Oriented Programming (OOP) concepts in Python, including classes, objects, inheritance, and polymorphism.
11: Error Handling
Learn about handling exceptions and errors gracefully in Python using try-except blocks and exception hierarchy.
12: Introduction to DSA with Python and Leet Problems
Get introduced to Data Structures and Algorithms (DSA) in Python, exploring basic data structures and algorithms with practical problem-solving exercises.
13.Simple Projects

Course Content

1: Introduction to Python
Introduction to Python programming language, covering its history, features, and applications across various domains. Get familiar with Python's simplicity, readability, and versatility.

1: Introduction to Python

08:16
Introduction

23:50

2: Setting up Python Environment
Learn how to set up Python on your system, including installation and configuring the development environment.

3: Basic Syntax and Hello World
Understand Python's basic syntax, variables, data types, and perform the traditional "Hello World" program.

4: Variables, Data Types, and Operators
Dive into variables, data types, and operators in Python, including type conversion and dynamic typing.

5: Conditionals and Control Flow Statements
Explore conditional statements and control flow mechanisms for decision making in Python.

6: Loops in Python
Learn about iteration using loops in Python, including for and while loops.

7: Functions
Understand functions in Python, including defining, calling, and passing arguments.

8: Modules & Packages
Explore modular programming in Python using modules, packages, and importing techniques.

9: File Handling
Learn to read from and write to files in Python, including file modes and manipulation techniques.

10: Object-Oriented Programming Basics
Get introduced to Object-Oriented Programming (OOP) concepts in Python, including classes, objects, inheritance, and polymorphism.

11: Error Handling
r Handling Learn about handling exceptions and errors gracefully in Python using try-except blocks and exception hierarchy.

12: Introduction to DSA with Python and Leet Problems
Get introduced to Data Structures and Algorithms (DSA) in Python, exploring basic data structures and algorithms with practical problem-solving exercises.

13.Simple Projects

Student Ratings & Reviews

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PyPro Internship Program 2.0

About Course

What Will You Learn?

Course Content

1: Introduction to Python
Introduction to Python programming language, covering its history, features, and applications across various domains. Get familiar with Python's simplicity, readability, and versatility.

1: Introduction to Python

Introduction

2: Setting up Python Environment
Learn how to set up Python on your system, including installation and configuring the development environment.

demo

3: Basic Syntax and Hello World
Understand Python's basic syntax, variables, data types, and perform the traditional "Hello World" program.

4: Variables, Data Types, and Operators
Dive into variables, data types, and operators in Python, including type conversion and dynamic typing.

5: Conditionals and Control Flow Statements
Explore conditional statements and control flow mechanisms for decision making in Python.

6: Loops in Python
Learn about iteration using loops in Python, including for and while loops.

7: Functions
Understand functions in Python, including defining, calling, and passing arguments.

8: Modules & Packages
Explore modular programming in Python using modules, packages, and importing techniques.

9: File Handling
Learn to read from and write to files in Python, including file modes and manipulation techniques.

10: Object-Oriented Programming Basics
Get introduced to Object-Oriented Programming (OOP) concepts in Python, including classes, objects, inheritance, and polymorphism.

11: Error Handling
r Handling Learn about handling exceptions and errors gracefully in Python using try-except blocks and exception hierarchy.

12: Introduction to DSA with Python and Leet Problems
Get introduced to Data Structures and Algorithms (DSA) in Python, exploring basic data structures and algorithms with practical problem-solving exercises.

13.Simple Projects

About Course

What Will You Learn?

Course Content

1: Introduction to Python Introduction to Python programming language, covering its history, features, and applications across various domains. Get familiar with Python's simplicity, readability, and versatility.

1: Introduction to Python

Introduction

2: Setting up Python Environment Learn how to set up Python on your system, including installation and configuring the development environment.

demo

3: Basic Syntax and Hello World Understand Python's basic syntax, variables, data types, and perform the traditional "Hello World" program.

4: Variables, Data Types, and Operators Dive into variables, data types, and operators in Python, including type conversion and dynamic typing.

5: Conditionals and Control Flow Statements Explore conditional statements and control flow mechanisms for decision making in Python.

6: Loops in Python Learn about iteration using loops in Python, including for and while loops.

7: Functions Understand functions in Python, including defining, calling, and passing arguments.

8: Modules & Packages Explore modular programming in Python using modules, packages, and importing techniques.

9: File Handling Learn to read from and write to files in Python, including file modes and manipulation techniques.

10: Object-Oriented Programming Basics Get introduced to Object-Oriented Programming (OOP) concepts in Python, including classes, objects, inheritance, and polymorphism.

11: Error Handling r Handling Learn about handling exceptions and errors gracefully in Python using try-except blocks and exception hierarchy.

12: Introduction to DSA with Python and Leet Problems Get introduced to Data Structures and Algorithms (DSA) in Python, exploring basic data structures and algorithms with practical problem-solving exercises.

13.Simple Projects

Student Ratings & Reviews

1: Introduction to Python
Introduction to Python programming language, covering its history, features, and applications across various domains. Get familiar with Python's simplicity, readability, and versatility.

2: Setting up Python Environment
Learn how to set up Python on your system, including installation and configuring the development environment.

3: Basic Syntax and Hello World
Understand Python's basic syntax, variables, data types, and perform the traditional "Hello World" program.

4: Variables, Data Types, and Operators
Dive into variables, data types, and operators in Python, including type conversion and dynamic typing.

5: Conditionals and Control Flow Statements
Explore conditional statements and control flow mechanisms for decision making in Python.

6: Loops in Python
Learn about iteration using loops in Python, including for and while loops.

7: Functions
Understand functions in Python, including defining, calling, and passing arguments.

8: Modules & Packages
Explore modular programming in Python using modules, packages, and importing techniques.

9: File Handling
Learn to read from and write to files in Python, including file modes and manipulation techniques.

10: Object-Oriented Programming Basics
Get introduced to Object-Oriented Programming (OOP) concepts in Python, including classes, objects, inheritance, and polymorphism.

11: Error Handling
r Handling Learn about handling exceptions and errors gracefully in Python using try-except blocks and exception hierarchy.

12: Introduction to DSA with Python and Leet Problems
Get introduced to Data Structures and Algorithms (DSA) in Python, exploring basic data structures and algorithms with practical problem-solving exercises.