Udemy - Mastering Python Programming (2024)

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Free Download Udemy - Mastering Python Programming (2024)
Published 11/2024
Created by Yashavant Kanetkar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 131 Lectures ( 21h 9m ) | Size: 5 GB

Most Comprehensive Python Programming Course
What you'll learn
Understand Python's foundational concepts and its unique advantages in programming, enabling them to apply Python in diverse fields effectively.
Apply core Python programming constructs, such as data types, variables, operators, and control structures, to create robust and efficient code.
Implement Object-Oriented Programming (OOP) principles in Python, including inheritance, encapsulation, and polymorphism, to design modular and reusable code.
Develop skills in functional programming by using advanced concepts like lambda functions, map, filter, reduce, & comprehensions for cleaner and efficient code
Work confidently with data structures in Python (lists, tuples, sets, dictionaries) and use them effectively for various applications.
Handle exceptions and errors gracefully to create more reliable and user-friendly programs.
Leverage Python for file operations, data serialization, and deserialization for data storage, retrieval, and processing.
Explore Python's concurrency and parallelism capabilities using multithreading and synchronization techniques to write faster, more responsive applications.
Use iterators and generators for memory-efficient data handling and implement custom iterators.
Apply Python modules and packages to organize code effectively and make use of third-party libraries for extending Python's capabilities.
By the end, you will be able to confidently build, debug, and optimize Python applications, making them well-equipped for real-world Python development
Requirements
No programming experience is needed. This course starts from the basics and gradually builds up, covering everything you need to know to become proficient in Python.
Description
Welcome to Mastering Python Programming, an all-encompassing course designed to take you from a complete beginner to a confident Python programmer. This course offers a thorough journey through Python, starting with foundational concepts and progressing to advanced topics that will prepare you to tackle real-world problems and projects. You'll learn not only the essentials, such as data types, control structures, and functions, but also delve into key areas like Object-Oriented Programming, functional programming, and data structures such as lists, tuples, and dictionaries. With hands-on coding exercises and practical examples, you'll gain a solid foundation to apply Python confidently in various fields, from web development and automation to data analysis and more.In addition to the core Python concepts, this course covers specialized skills, including working with files, handling errors gracefully, and leveraging Python's powerful libraries and modules. You'll explore advanced topics such as iterators, generators, multithreading, and even functional programming techniques like map, filter, and lambda expressions. We'll guide you through creating efficient, reusable code using Python's object-oriented features and introduce you to professional practices for code reuse, modularization, and debugging. Whether you're aiming to launch a career in tech, automate workflows, or simply expand your programming expertise, this course provides all the tools and knowledge needed to master Python and use it to create dynamic, high-performance applications.
Who this course is for
Aspiring engineers, data scientists, and data analysts interested in learning Python as it is a primary language in data analysis, machine learning, and artificial intelligence.
Students and professionals looking to add Python programming to their skill set to automate tasks, analyze data, or move further in tech roles.
Software developers and IT professionals from other programming languages who want to learn Python to expand their programming skillset or transition into roles that require Python expertise.
Educators and teachers who want to gain a structured understanding of Python to teach programming or enhance computational thinking in the classroom.
The course is structured to gradually increase in difficulty, ensuring that you gain new skills and insights.
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104.47 MB | 19min 3s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

1 -Introduction To Python.mp4 (70.91 MB)
2 -What Sets Python Apart.mp4 (38.16 MB)
3 -Where Is Python Used.mp4 (43.18 MB)
4 -Getting Started With Python.mp4 (67.82 MB)
5 -Python Resources.mp4 (56.41 MB)
6 -Python Compilation Process.mp4 (44.83 MB)
7 -Working With Python.mp4 (39.16 MB)
1 -Python Comprehensions.mp4 (18.66 MB)
2 -List Comprehensions.mp4 (104.47 MB)
3 -Set Comprehensions.mp4 (25.64 MB)
4 -Dictionary Comprehensions.mp4 (37.36 MB)
1 -Python Functions.mp4 (57.14 MB)
2 -Communication With Functions.mp4 (62.91 MB)
3 -Variable Length Arguments.mp4 (35.07 MB)
4 -Default Values For Function Arguments.mp4 (27.85 MB)
5 -Mixing Argument Types.mp4 (17.63 MB)
6 -Unpacking Function Arguments.mp4 (12.47 MB)
1 -Recursion.mp4 (49.52 MB)
2 -When To Use Recursion.mp4 (44.06 MB)
3 -Recursion - Similar Sub Problems.mp4 (34.83 MB)
4 -Working Of Similar Sub Problems.mp4 (30.45 MB)
5 -Recursion - Unknown Number Of Loops.mp4 (74.1 MB)
6 -Types Of Recursion.mp4 (35.97 MB)
1 -Functional Programming in Python.mp4 (29.1 MB)
2 -Lambda Functions.mp4 (61.14 MB)
3 -Map Filter Reduce Operations.mp4 (36.01 MB)
4 -Map Filter Reduce Functions.mp4 (45.91 MB)
5 -Lambda And Map Filter Reduce.mp4 (39.37 MB)
1 -Python Modules.mp4 (30.83 MB)
2 -Module Import.mp4 (43.51 MB)
3 -Multiple Ways To Use A Module.mp4 (25.94 MB)
4 -Packages.mp4 (38.81 MB)
5 -Symbol Table.mp4 (31.41 MB)
6 -Namespace.mp4 (38.62 MB)
7 -Locals And Globals.mp4 (34.15 MB)
8 -Types Of Scopes.mp4 (50.32 MB)
1 -Object Oriented Programming.mp4 (56.37 MB)
10 -Handling Dissimilar Data.mp4 (24.81 MB)
11 -Type Conversion.mp4 (43.37 MB)
2 -Classes And Objects In Python.mp4 (65.91 MB)
3 -User Defined Classes.mp4 (87.81 MB)
4 -Object Iniialization.mp4 (66.92 MB)
5 -Class Variables And Methods.mp4 (33.81 MB)
6 -Vars And Dir Functions.mp4 (52.4 MB)
7 -Identifier Naming Convention.mp4 (72.84 MB)
8 -Operator Overloading.mp4 (76 MB)
9 -Everything Is An Object.mp4 (47.64 MB)
1 -Reuse Mechanisms.mp4 (22.83 MB)
2 -Containership.mp4 (29.99 MB)
3 -Inheritance.mp4 (41.61 MB)
4 -Inheritance Access.mp4 (42.1 MB)
5 -Inheritance Types.mp4 (33.37 MB)
6 -Diamond Problem.mp4 (33.45 MB)
7 -Inheritance Miscellany.mp4 (20.04 MB)
8 -Abstract Classes.mp4 (16.88 MB)
1 -Iterables And Iterators.mp4 (28.98 MB)
2 -User Defined Iterators.mp4 (24.01 MB)
3 -Generators.mp4 (30.64 MB)
4 -Generator Expressions.mp4 (23.44 MB)
5 -Zip Function.mp4 (14.24 MB)
1 -Errors And How To Tackle Them.mp4 (47.76 MB)
2 -Exception Handling.mp4 (59.03 MB)
3 -Exception Handling Nuances.mp4 (28.19 MB)
4 -User Defined Exceptions.mp4 (57.82 MB)
5 -Else And Finally Blocks.mp4 (19.26 MB)
6 -Exception Handling Tips.mp4 (7.17 MB)
1 -IO System.mp4 (29.29 MB)
2 -Read Write Operations.mp4 (51.05 MB)
3 -File Opening Modes.mp4 (46.05 MB)
4 -File Seek Operations.mp4 (22.69 MB)
5 -Serialization Deserialization.mp4 (40.48 MB)
6 -Complex Serialization Deserialization.mp4 (28.58 MB)
7 -Serialization Of User Defined Types.mp4 (48.31 MB)
8 -File And Directory Operations.mp4 (32.85 MB)
1 -Python Identifiers And Keywords.mp4 (71.91 MB)
10 -Strings.mp4 (63.12 MB)
11 -String Methods.mp4 (58.55 MB)
2 -Python Types.mp4 (28 MB)
3 -Arithmetic Operators.mp4 (45.4 MB)
4 -Conversion Functions.mp4 (27.46 MB)
5 -Builtin Functions.mp4 (15.18 MB)
6 -Builtin Modules.mp4 (37.33 MB)
7 -Container Types.mp4 (39.92 MB)
8 -Comments, Indentation And Multilining.mp4 (28.03 MB)
9 -Classes And Objects.mp4 (45.66 MB)
1 -Documentation Strings.mp4 (36.44 MB)
2 -Command Line Arguments.mp4 (73.71 MB)
3 -Bitwise Operators.mp4 (29.24 MB)
4 -Assertion.mp4 (15.76 MB)
5 -Decorators.mp4 (24.07 MB)
6 -Decorators For Funcs WIth Args.mp4 (50.48 MB)
7 -Unicode.mp4 (45.2 MB)
8 -Creating Executable File.mp4 (27.44 MB)
1 -Concurrency And Parallelism.mp4 (23.8 MB)
2 -Multithreading.mp4 (50.9 MB)
3 -IOBound And CPUBound Programs.mp4 (21.84 MB)
4 -Ways To Improve Program Performance.mp4 (30.52 MB)
5 -Types Of Concurrencies.mp4 (13.63 MB)
6 -Thread Properties.mp4 (16.19 MB)
7 -Ways To Launch Threads.mp4 (29.41 MB)
1 -Synchronization.mp4 (33.51 MB)
2 -Synchronization Using Locks.mp4 (51.72 MB)
3 -Synchronization Using RLocks.mp4 (43.95 MB)
4 -Semaphores.mp4 (29.37 MB)
5 -Inter Thread Communication.mp4 (20.78 MB)
6 -Producer Consumer Algorithm.mp4 (27.6 MB)
1 -Decision Control Instruction.mp4 (31.03 MB)
2 -Logical Expressions.mp4 (37.46 MB)
3 -Conditional Expressions.mp4 (17.36 MB)
1 -Repetition Control Instruction.mp4 (56.06 MB)
2 -The For Loop.mp4 (46.35 MB)
1 -Console Input.mp4 (25.87 MB)
2 -Console Output.mp4 (43.87 MB)
3 -Console Output Examples.mp4 (35.89 MB)
1 -Python Lists.mp4 (39.15 MB)
2 -Lists And Builtin Functions.mp4 (37.31 MB)
3 -List Methods.mp4 (21.5 MB)
4 -List Miscellany.mp4 (48.36 MB)
5 -Stack And Queue Using List.mp4 (13.75 MB)
1 -Python Tuples.mp4 (37.78 MB)
2 -Tuples And Builtin Functions.mp4 (42.94 MB)
3 -Tuples Miscellany.mp4 (57.29 MB)
4 -List Of Tuples And Vice Versa.mp4 (21.83 MB)
1 -Python Sets.mp4 (35.04 MB)
2 -Common Set Operations.mp4 (23.82 MB)
3 -Sets And Builtin Functions And Methods.mp4 (18.86 MB)
4 -Typical Set Operations.mp4 (36.47 MB)
1 -Python Dictionaries.mp4 (27.21 MB)
2 -Dictionary Operations.mp4 (41.95 MB)
3 -Dictionary Built-in Functions And Methods.mp4 (45.32 MB)
4 -Dictionary Varieties.mp4 (20.05 MB)

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