Published 7/2024
Created by Deepak Namala
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 46 Lectures ( 5h 11m ) | Size: 2.31 GB
From Zero to Hero – Master Python in Record Time and Revolutionize Your Skills!
What you’ll learn:
Installing Python 3
Your First Python Program
How Python Code Gets Executed
Variables
Receiving Input
Type Conversion
Strings
Formatted Strings and etc….
Requirements:
No programming experience is required; you will learn everything you need here.
Description:
Welcome to the Python Programming Course! In this course, you will embark on an exciting journey into the world of Python, a powerful and versatile programming language used in a wide range of applications. Whether you’re a complete beginner or have some programming experience, this course will equip you with the skills to become proficient in Python programming.Course Outline:1. Introduction to Python- Understand what Python is and its importance in the programming world.2. Installing Python- Learn how to install Python 3 on your computer and set up the development environment.3. Your First Python Program- Write and execute your first Python program to get hands-on experience with the language.4. How Python Code Gets Executed- Explore how Python code is executed and understand the role of the Python interpreter.5. Variables- Learn about variables, data types, and variable assignments in Python.6. Receiving Input- Take user input in your programs to make them interactive.7. Type Conversion- Convert data between different types in Python.8. Strings- Explore the basics of strings, including string manipulation and formatting.9. Formatted Strings- Use formatted strings to create more readable and dynamic output.10. String Methods- Dive into various string methods for text manipulation and processing.11. Arithmetic Operations- Perform basic arithmetic operations in Python.12. Operator Precedence- Understand the order of operations in Python expressions.13. Math Functions- Explore built-in math functions for more complex mathematical operations.14. If Statements- Learn about conditional statements and decision-making in Python.15. Logical Operators- Use logical operators to combine conditions in if statements.16. Comparison Operators- Compare values using comparison operators in Python.17. Weight Converter Program- Build a simple program to convert weight units.18. While Loops- Use while loops for repetitive tasks and conditional iteration.19. Building a Guessing Game- Develop a guessing game to practice loops and conditional statements.20. Building the Car Game- Create a fun car game using Python’s control structures.21. For Loops- Learn about for loops and iteration over sequences.22. Nested Loops- Use nested loops for more complex iteration patterns.23. Lists- Explore lists, a fundamental data structure in Python.24. 2D Lists- Work with two-dimensional lists for tabular data and matrices.25. List Methods- Learn about list methods for efficient list manipulation.26. Tuples- Understand tuples, immutable data structures in Python.27. Unpacking- Unpack sequences into individual variables for easy access.28. Dictionaries- Explore dictionaries and key-value pairs in Python.29. Emoji Converter- Create a program to convert text to emojis using dictionaries.30. Functions- Define and use functions for modular and reusable code.31. Parameters- Pass parameters to functions for dynamic behavior.32. Keyword Arguments- Utilize keyword arguments for more flexible function calls.33. Return Statement- Use the return statement to return values from functions.34. Creating a Reusable Function- Develop reusable functions for common tasks.35. Exceptions- Handle exceptions and errors gracefully in Python programs.36. Comments- Write comments to document your code for better understanding.37. Classes- Learn about classes, objects, and object-oriented programming concepts.38. Constructors- Use constructors to initialize class instances.39. Inheritance- Implement inheritance to create hierarchical relationships between classes.40. Modules- Organize code into modules for better code management.41. Packages- Explore packages and their role in modular Python programming.42. Generating Random Values- Generate random values for simulations and games.43. Working with Directories- Interact with directories and files in Python programs.44. Pypi and Pip- Discover Pypi and Pip for package management in Python.Projects:Project 1: Automation with Python Automate repetitive tasks using Python scripts.Project 2: Building a Website with Django Build a dynamic web application using Django, a Python web framework.By the end of this course, you’ll have a strong foundation in Python programming and be ready to tackle various real-world projects and challenges. Let’s dive in and start coding!
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