[New] The Python Programmer
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.42 GB | Duration: 8h 52m
Learn Python with Hands-On Practice: 100 Exercises and Over 20 Code Challenges to Sharpen Your Skills
[b]What you'll learn[/b]
You will gain practical knowledge and experience with Python programming language from fundamentals to advanced topics.
Practice with 100 code exercises and over 20 code challenges with written test cases.
Learn how to design and build real-world applications using Python.
Learn Python's best practices and how to develop clean Python code.
Learn how to apply Object-Oriented Programming and Functional Programming in Python.
[b]Requirements[/b]
No programming experience needed. You will learn everything you need to know.
A Mac or PC computer with internet access
No paid software required. You will learn how to use the VS Code editor for writing Python programs
[b]Description[/b]
Whether you're planning to work in software development, data science, data analytics, or simply want to learn programming, The Python Programmer course is designed to equip you with the expertise needed to develop Python professionally. This course is more than just theory - it's a hands-on journey through Python's core and advanced features, preparing you for real-world applications.With 15+ chapters, you'll explore everything from basic syntax to advanced topics. You'll solve 100 exercises, test your knowledge with 150+ MCQs, and optionally solve 20+ coding challenges. Each chapter is packed with practical exercises, code challenges, and quizzes that will test and solidify your understanding of Python.This course comes with customised learning journeys to help you achieve your goals efficiently. We start with programming fundamentals like data types, control flows, and data-structures, and then progress to object-oriented programming and advanced topics like decorators, generators, and concurrency. You'll also gain valuable experience by applying Python to real-world problems, ensuring you're ready for any Python-related task in your career.Whether you want to enhance your programming skills or learn about some advanced topics in Python, I've incorporated all of my knowledge and experience into this course to ensure it provides the tools and confidence you need to succeed. I hope you enjoy this course and get the best experience out of this journey!Shehab
Overview
Section 1: Introduction
Lecture 1 Who is this course for?
Lecture 2 How to take this course?
Section 2: Introduction to Python
Lecture 3 What is Python?
Lecture 4 Ways of Running Python Code
Lecture 5 Setting up your Python environment
Lecture 6 download скачать the Exercises
Lecture 7 How to Solve the Exercises
Lecture 8 Python Comments
Lecture 9 Coding Setup!
Section 3: Variables & Data Types
Lecture 10 What is a variable?
Lecture 11 Primitive datatypes
Lecture 12 Type Conversion
Lecture 13 Literals & Constants
Lecture 14 Built-in Functions
Lecture 15 Base Conversion
Lecture 16 Wrap Up
Lecture 17 Coding Time!
Lecture 18 Solutions (chapter02_variables)
Section 4: Operators
Lecture 19 Intro to Operators
Lecture 20 Arithmetic Operators
Lecture 21 Assignment Operators
Lecture 22 Relational Operators
Lecture 23 Logical Operators
Lecture 24 Bitwise Operators
Lecture 25 Identity Operators
Lecture 26 Membership Operators
Lecture 27 Wrap Up
Lecture 28 Coding Time!
Lecture 29 Solutions (chapter03_operators)
Section 5: Control Flow
Lecture 30 Intro to Control Flow
Lecture 31 Conditional statements (if, elif, else)
Lecture 32 Structural Pattern Matching
Lecture 33 Loops
Lecture 34 for-loop
Lecture 35 while-loop
Lecture 36 Break, continue, and pass statements
Lecture 37 Wrap Up
Lecture 38 Coding Time!
Lecture 39 Solutions (chapter04_control_flow)
Section 6: Functions
Lecture 40 Intro to Functions
Lecture 41 Types of Function Arguments
Lecture 42 Lamda Functions
Lecture 43 Scope
Lecture 44 Using `nonlocal`
Lecture 45 Using `global`
Lecture 46 Pass By Object Reference
Lecture 47 Recursion
Lecture 48 Recursive vs Iterative Functions
Lecture 49 Type Hinting
Lecture 50 Wrap Up
Lecture 51 Coding Time!
Lecture 52 Solutions (chapter05_functions)
Section 7: Python datastructures
Lecture 53 Intro to Data structures
Lecture 54 Lists
Lecture 55 Nested Lists
Lecture 56 List Comprehension
Lecture 57 Dictionaries
Lecture 58 Dict Comprehension
Lecture 59 Sets
Lecture 60 Set Comprehension
Lecture 61 Tuples
Lecture 62 Intro to `collections` module (defaultdict, ordereddict, counter, deque)
Lecture 63 Wrap Up
Lecture 64 Coding Time!
Lecture 65 Solutions (chapter06_datastructures)
Section 8: Strings
Lecture 66 Strings Recap
Lecture 67 String Indexing
Lecture 68 String Slicing
Lecture 69 String Formatting
Lecture 70 Wrap Up
Lecture 71 Coding Time!
Lecture 72 Solutions (chapter07_strings)
Section 9: Working with Files
Lecture 73 Working with Files
Lecture 74 Reading from Files
Lecture 75 Writing to Files
Lecture 76 Paths in Python
Lecture 77 Context Managers
Lecture 78 Wrap Up
Lecture 79 Coding Time!
Lecture 80 Solutions (chapter08_files)
Section 10: Error & Exception Handling
Lecture 81 Intro to Exceptions
Lecture 82 Try, except, else, finally
Lecture 83 Custom Exceptions
Lecture 84 Exception Groups
Lecture 85 Wrap Up
Lecture 86 Coding Time!
Lecture 87 Solutions (chapter09_error_handling)
Section 11: Object Oriented Programming
Lecture 88 Intro to OOP
Lecture 89 Classes & Objects
Lecture 90 Instance vs Class variables
Lecture 91 Instance, Static, and Class methods
Lecture 92 Dunder methods (e.g. `__init__()`)
Lecture 93 Inheritance & Polymorphism
Lecture 94 Abstract Classes
Lecture 95 Class Generics
Lecture 96 Enums
Lecture 97 Protocols (Duck Typing)
Lecture 98 Wrap Up
Lecture 99 Coding Time!
Lecture 100 Solutions (chapter10_oop)
Section 12: Python Standard Libraries
Lecture 101 Intro to Standard Libraries
Lecture 102 Using `dataclasses`
Lecture 103 Using `datetime`
Lecture 104 Using `functools`
Lecture 105 Using `itertools`
Lecture 106 Using `logging`
Lecture 107 Using `timeit`
Lecture 108 Using `pickle`
Lecture 109 Coding Time!
Lecture 110 Solutions (chapter11_standard_library)
Section 13: Advanced Functions
Lecture 111 Higher-order Functions
Lecture 112 Closures
Lecture 113 Iterators
Lecture 114 Generators
Lecture 115 Decorators
Lecture 116 Wrap Up
Lecture 117 Coding Time!
Lecture 118 Solutions (chapter12_advanced_functions)
Section 14: Modules and Packages
Lecture 119 Intro to Modules & Packages
Lecture 120 What is __name__ == "__main__"?
Lecture 121 What is `PYTHONPATH`?
Lecture 122 What is PyPi?
Lecture 123 site-packages vs dist-packages
Lecture 124 Wrap Up
Lecture 125 Coding Time!
Lecture 126 Solutions (chapter13_modules_and_packages)
Section 15: Testing
Lecture 127 What is testing?
Lecture 128 Testing in Python
Lecture 129 Writing a test using `unittest`
Lecture 130 Writing a test using `pytest`
Lecture 131 What is Test-Driven Development (TDD)?
Lecture 132 Wrap Up
Lecture 133 Coding Time!
Lecture 134 Solutions (chapter14_testing)
Section 16: Concurrency & Parallelism
Lecture 135 Intro to Concurrency & Parallelism
Lecture 136 Intro to Threading
Lecture 137 Intro to Asynchronous Programming
Lecture 138 AsyncIO and Async/Await
Lecture 139 Intro to Global Interpreter Lock (GIL)
Lecture 140 Why do we need threading.Lock() if we have GIL?
Lecture 141 Intro to Multiprocessing
Lecture 142 Intro to `concurrent.futures` (Thread/Process Pool Executor)
Lecture 143 When to use Threading vs Multiprocessing vs Async?
Lecture 144 Wrap Up
Lecture 145 Coding Time!
Lecture 146 Solutions (chapter15_concurrency)
Section 17: Congratulations!
Lecture 147 Congratulations!
Lecture 148 Next Steps
First-time learners who want to learn programming in Python.,Beginner Python developers who want to practice and advance their Python knowledge and skills.
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