Udemy - Python Coding Preparation

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Free Download Udemy - Python Coding Preparation
Published 4/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 239.68 MB | Duration: 0h 46m
WINNING AT PYTHON INTERVIEWS

What you'll learn
Curated coding problems commonly encountered in Python-based technical interviews.
Step-by-step solutions with detailed explanations.
Real-world problem-solving applications.
Algorithms (sorting, searching, recursion, dynamic programming, etc.).
Data structures (lists, dictionaries, sets, tuples, etc.).
Structuring responses to demonstrate logical thinking.
How to effectively explain solutions during an interview
Requirements
Understanding of Python syntax (variables, loops, conditionals, functions).
Familiarity with data types like strings, lists, tuples, dictionaries, and sets.
Basic file handling (reading/writing files).
Experience writing and debugging simple Python programs.
Basic understanding of functions and recursion.
Logical thinking and analytical skills.
A Python 3.x installation on your computer.
Jupyter Notebook, VS Code, PyCharm, or any preferred IDE.
Description
"Python Coding Prep: Winning at Python Interviews" is structured to provide you with a thorough understanding of the kinds of problems you might face and the strategies to solve them. Each problem is carefully selected to cover a wide range of topics, from basic syntax and data structures to more complex algorithms and real-world applications. The solutions are explained in detail, with a focus on clarity and efficiency, ensuring that you not only know how to solve the problem but also understand the underlying principles.In addition to technical skills, this book emphasizes the importance of problem-solving techniques and effective coding practices. You will find tips on how to approach problems methodically, optimize your code, and communicate your thought process clearly during an interview. These skills are crucial, as interviewers are often as interested in how you solve a problem as they are in the final answer.As you work through the problems, I encourage you to think critically and creatively. Take the time to explore different solutions and understand the trade-offs between them. This practice will not only prepare you for interviews but also make you a better programmer overall.Finally, remember that preparation is key to success. The more you practice, the more confident you will become. Use this course as a tool to hone your skills, build your confidence, and ultimately, achieve your career goals.
Aspiring software developers, data analysts, and engineers preparing for technical interviews.,Candidates applying to tech companies, startups, or FAANG/MNCs that assess Python skills.,Anyone looking to improve problem-solving skills and ace whiteboard coding challenges.,Undergraduate & graduate students preparing for internships or full-time jobs in tech.,Students who have learned Python in coursework but need hands-on problem-solving practice.,Developers from other programming backgrounds (Java, C++, JavaScript) transitioning to Python roles.,IT professionals preparing for technical skill assessments in job interviews.

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Python Coding Preparation
Published 4/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 239.68 MB | Duration: 0h 46m​

WINNING AT PYTHON INTERVIEWS

What you'll learn
Curated coding problems commonly encountered in Python-based technical interviews.
Step-by-step solutions with detailed explanations.
Real-world problem-solving applications.
Algorithms (sorting, searching, recursion, dynamic programming, etc.).
Data structures (lists, dictionaries, sets, tuples, etc.).
Structuring responses to demonstrate logical thinking.
How to effectively explain solutions during an interview

Requirements
Understanding of Python syntax (variables, loops, conditionals, functions).
Familiarity with data types like strings, lists, tuples, dictionaries, and sets.
Basic file handling (reading/writing files).
Experience writing and debugging simple Python programs.
Basic understanding of functions and recursion.
Logical thinking and analytical skills.
A Python 3.x installation on your computer.
Jupyter Notebook, VS Code, PyCharm, or any preferred IDE.

Description
"Python Coding Prep: Winning at Python Interviews" is structured to provide you with a thorough understanding of the kinds of problems you might face and the strategies to solve them. Each problem is carefully selected to cover a wide range of topics, from basic syntax and data structures to more complex algorithms and real-world applications. The solutions are explained in detail, with a focus on clarity and efficiency, ensuring that you not only know how to solve the problem but also understand the underlying principles.In addition to technical skills, this book emphasizes the importance of problem-solving techniques and effective coding practices. You will find tips on how to approach problems methodically, optimize your code, and communicate your thought process clearly during an interview. These skills are crucial, as interviewers are often as interested in how you solve a problem as they are in the final answer.As you work through the problems, I encourage you to think critically and creatively. Take the time to explore different solutions and understand the trade-offs between them. This practice will not only prepare you for interviews but also make you a better programmer overall.Finally, remember that preparation is key to success. The more you practice, the more confident you will become. Use this course as a tool to hone your skills, build your confidence, and ultimately, achieve your career goals.

Aspiring software developers, data analysts, and engineers preparing for technical interviews.,Candidates applying to tech companies, startups, or FAANG/MNCs that assess Python skills.,Anyone looking to improve problem-solving skills and ace whiteboard coding challenges.,Undergraduate & graduate students preparing for internships or full-time jobs in tech.,Students who have learned Python in coursework but need hands-on problem-solving practice.,Developers from other programming backgrounds (Java, C++, JavaScript) transitioning to Python roles.,IT professionals preparing for technical skill assessments in job interviews.

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