Learn Basics Of Python Using Linux In 14 Days

What you'll learn
You will master the basics of Python programming language
You will be able to program in Python professionally
Build GUIs and Desktop applications with Python
Learn python from scratch with no codingexperience
Requirements
Access to a computer with an internet connection.
Interest to learn Python language
Dedicated Time to Practice Everyday
General Logical Thinking
Description
Become a Python Programmer and learn one of the employer's most requested skills of 2023!This is the most comprehensive, yet straightforward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course, we will teach you Python 3.We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.This course will teach you Python in a practical manner, and with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!We will start by helping you get Python installed on your computer, regardless of your operating system, whether it's Linux, MacOS, or Windows, we've got you covered.We cover a wide variety of topics, including:Command Line BasicsInstalling PythonRunning Python CodeStringsListsDictionariesTuplesSetsNumber Data TypesPrint FormattingFunctionsScopeargs/kwargsBuilt-in FunctionsDebugging and Error HandlingModulesExternal ModulesObject Oriented ProgrammingInheritancePolymorphismFile I/OAdvanced MethodsUnit Testsand much more!So what are you waiting for? Learn Python in a way that will advance your career and increase your basics, all in a fun and practical way!
Overview
Section 1: Day 01 - Basics of Python
Lecture 1 Why Python 3.x ? What are the New Features of Python 3?
Lecture 2 Data Types in Python
Lecture 3 Playing with Numbers in Python
Lecture 4 Working with Strings in Python
Lecture 5 Library of the Lists in Python
Lecture 6 Tuples in Python
Lecture 7 Dictionaries in Python
Lecture 8 Commenting in Python
Lecture 9 Arithmetic Operations
Lecture 10 Type Conversion in Python
Section 2: Basic Operators
Lecture 11 Comparison Operations
Lecture 12 Assignment Operations
Lecture 13 Logical Operations
Lecture 14 Bitwise Operations
Lecture 15 Membership Operations
Lecture 16 Identity Operations
Lecture 17 Decision Making: If-Else-Else If
Section 3: Looping through Loops
Lecture 18 While Loop
Lecture 19 For Loop
Lecture 20 Nested Loops
Lecture 21 Break Statement
Lecture 22 Continue Statement
Lecture 23 Pass Statement
Lecture 24 Iterator & Generator
Section 4: Basic Maths using Python
Lecture 25 Mathematical Functions
Lecture 26 Random Number Functions
Lecture 27 Trigonometric Functions
Lecture 28 Mathematical Constants
Section 5: String Operations
Lecture 29 Escape Characters in Strings
Lecture 30 String Formatting Operations
Lecture 31 String Functions in Python
Lecture 32 Regular Expressions in Python
Section 6: List, Tuples, Dictionaries
Lecture 33 Built-in List Functions & Methods
Lecture 34 Basics on Dictionaries in Python
Lecture 35 Operations on Tuples in Python
Section 7: Date & Time in Python
Lecture 36 Date Functions
Lecture 37 Time Functions
Lecture 38 Calendar Module
Section 8: Functions in Python
Lecture 39 Defining Function
Lecture 40 Argue with Arguments
Lecture 41 Anonymous Functions
Lecture 42 IMPORT important Modules
Lecture 43 Packages in Python
Section 9: Files Management System in Python
Lecture 44 Open File
Lecture 45 Read Data From File
Lecture 46 Write Data into File
Lecture 47 Re(ad)Write File
Lecture 48 Close File
Lecture 49 ExeCute Command Prompt commands in Python
Section 10: Exceptions Handling
Lecture 50 Errors
Lecture 51 Assertions
Lecture 52 Exceptions
Lecture 53 Try-Except-Finally
Section 11: Object Oriented Programming
Lecture 54 Function Overloading
Lecture 55 Inheritance
Lecture 56 Data Hiding
Lecture 57 Base Overriding
Section 12: Database Management System
Lecture 58 Connect MySQL with Python
Lecture 59 CRUD Operations in Python
Section 13: Email Using SMTP and Python
Lecture 60 Send Email using SMTP
Lecture 61 Send HTML Email using SMTP
Lecture 62 Send Attachments using Email
Section 14: Advanced Features in Python
Lecture 63 Multi Threading in Python
Lecture 64 Networking in Python
Lecture 65 GUI Programming in Python
Section 15: Conclusion
Lecture 66 Source Code
Lecture 67 Final Notes
Lecture 68 Heads up to Artificial Intelligence using Python
Beginners who have never programmed before.,Programmers switching languages to Python.,Intermediate Python programmers who want to revise or brush up their skills


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