Python Bootcamp: 30 Hours Of Step By Step Python Lessons

Learn Python Intro, Date, Time, Strings, Tuples, Arguments, Lambda, def, Compilations, Data Visualisation PLUS Projects

What you'll learn

Introduction to Python

Date and Time in Python

Sets and Trigonometry

Logarithmic in Python

Arrays in Python

Round off, and Complex Numbers

Strings in Python

Strings, ord, and chr

Lists in Python

Tuples in Python

Multiple Sequences

Loops and List in Python

Appending Sequences

Comprehension in Python

List, Item and Iterators

Zip and Attributes in Python

Mapping in Python

dir Attributes

Zip and Map Operator

Printing Dictionaries Items

Arguments and Functions in Python

Sequences in Python

Defining Functions

Changer Function

def in Python

Knownly Type of a Function

def Statement

String Code, and Sum Tree

Sum Tree

Echo and Lambda Function

Schedule Function

def and Reducing Function in Python

for and if in Range

def Saver and ASCII, and Exception

Get Attributes and Decorator in Python

Turtle and Compilation

Logging and HTTP

Make Calculator

Binary Numbers in Python

Countdown Time in Python

Size and Path of a File

Data Visualization

Pandas Library

Encoding and Decoding in Python

Shelve in Python

Requirements

Laptop, or Computer, or Mobile

Internet Connection

Description

30 hours of clear and concise step-by-step instructions, practical lessons, and engagementThis course introduces Python as a programming language, how to use it, and the different underlying concepts in developing applications or solving real-world problems using this language. This course does not require technical Coding skills and it is meant for everyone who wishes to build a career in digital world. What will you learn:Introduction to PythonDate and Time in PythonSets, Trigonometry, Logarithmic in PythonArrays in PythonRound off, and Complex Numbers in PythonStrings in PythonStrings, ord, chr, and Binary Numbers in PythonLists and Dictionaries in PythonTuples in PythonContents and OverviewYou'll start with Intro To Python: Printing Variables in Python, Strings, Floating Points, and Digits in Python, Printing Variables in Python, Inserting, Removing, and Pop Up of Variables in Python.Date and Time In Python: Printing Date and Time in Python, Import and From Date Time in Python, Printing Current Date Time in Python, Printing Current Year in Python, Hours, Minutes, and Seconds in Python, Microseconds in Python, Time stamp in Python, Time Difference in Python, Time Delta in Python, Time Delta in Python 2, Now Date and Time in PythonSets, Trigonometry, Logarithmic in Python; Intersection and Union of Sets in Python; Difference of Sets in Python, True and False in Sets Using Python, Adding and Removing Elements in Sets, Code for Intersection and Union in Python, Element in Sets, Math and CMath, Trigonometry in Python, Logarithmic and Mod Operators, Bitwise Operators in Python, Binary into Decimals in Python, Binary into Integers, Multiple Variables in Python, True and False Statement in PythonArrays in Python: Arrays in Python, Inserting Elements in Array, Pop Up Arrays, Index and Reverse Arrays, Finding Error in Codes: AssignmentRound off, Trigonometry and Complex Numbers in Python: Round off and Truncation, Degrees into Radians and Radians into Degrees Using Python, Positive and Negative Infinity in Python, Not a Number Coding in Python, Complex Numbers Coding in PythonStrings in Python: Printing Strings in Python, Counting in Strings, Open a File in Python, Printing Multiple Strings in Python, Strings True and False in Python, Slicing and Indexing in StringsStrings, ord, chr and binary numbers in Python: Strings and Integers, ord and chr Tools in Python, Int and Binary Numbers in PythonLists and Dictionaries in Python: Lists in Python, Adding Strings in Lists, Pop Up and Removing Strings in Lists, Assignment Code, Dictionaries in Python, Lists, and DictionariesTuples in Python: Tuples in Python: Lists into Tuples, Why Lists and Tuples in Python, Data File in PythonAssigning Tuples, Strings and Tuples, Strings, Tuples into Lists, Sequences in Python, Multiple Sequences. Tuples into Loops, Sequences into Loops, List into Loop, Item into Loop, Appending Sequences.Range and List, Dictionaries into Tuples, Enumerator Functions, List, Item and Iterators, List Comprehension.Mapping in Python; Zip and Map Operator; Printing Dictionaries Items; dir Attributes; dir Attributes 2; Arguments; Sequences and Arguments; Intersection of Sequences; Defining Functions; Multiple Functions;Changer Function; Argument Functions; Multiple Arguments and Functions; Knownly Type of a Function; Printing Tuples Using Functions; def Statement; Min and MAX of Argument; Assignment; String Code; Finding Sum of List; Sum Tree; Echo Function; Schedule Function; Printing a Function Value; Lambda Function; Multiple Lambda Function; Lambda Function with Multiple Functions;Lambda Function: Code Example; Lambda Function: Code Example; Range and Tuples; Matrices in Python; Generating a Function in Python; Generating a Function: Code Example; Set of Codes;def of Sum and Square; Reducing Code in Python; Function Reducing Tool; for and if in Range; res.append in Python; def Saver; Python Module; isinstance for String and Object; def fetcher in Python; Exception in Python; ASII in Python; encoding and decoding in Python; encoding and decoding Lecture 2; encoding and decoding Lecture 3; encoding and decoding Lecture 4;getName Coding; GetAtrr in Python; GetAtrribute in Python; Decorator in Python; Nested Decorator; Annotation and Decorator; functools for Decorator; inspectfunc tool in Python;Class Method in Python; Turtle, Time and Random; Pandas Library Code; Compilation in Python; Data Visualization in Matplotlib; Scattering: Data Visualization; Enumerator Function;Plotly in MATPLOTLIB; Plot: Data Visualization; Logging and Exception; Printing Vowels; Map and Operator; HTTP Server: Practical Python; Socket Library for HTTP Server;Tree Coding; Tree Coding Lecture 2; Name and Size of a File; Countdown Time: Practical Python; Make a Calculator: Practical Python; Leap Year in Python; PyAudio Lecture 1; PyAudio Lecture 2; Creating a Shelve in Python; Pandas Library: DataFrame;Who are the Instructors?Dr. Alla Dittah is your lead instructor – a professional making a living from teaching programming to people like you. He has joined with content creator Peter Alkema to bring you this amazing new course.You'll get premium support and feedback to help you become a better Python Programmer!We can't wait to see you on the course!Enroll now, and learn Python!Peter and Allah

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Download All Your Coding Files

Lecture 3 Introduce Yourself To Your Fellow Students And Tell Everyone What Are Your Goals

Lecture 4 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!!

Section 2: Introduction to Python

Lecture 5 Hello World Coding in Python

Lecture 6 Printing Variables in Python

Lecture 7 Strings, Floating Points, and Digits in Python

Lecture 8 Printing Variables in Python

Lecture 9 Inserting, Removing, and Pop Up of Variables in Python

Section 3: Date and Time in Python

Lecture 10 Printing Date and Time in Python

Lecture 11 Import and From Date Time in Python

Lecture 12 Printing Current Date Time in Python

Lecture 13 Printing Current Year in Python

Lecture 14 Hours, Minutes, and Seconds in Python

Lecture 15 Microseconds in Python

Lecture 16 Time stamp in Python

Lecture 17 Time Difference in Python

Lecture 18 Time Delta in Python

Lecture 19 Time Delta in Python 2

Lecture 20 Trigonometry in Python

Lecture 21 Now Date and Time in Python

Section 4: Sets, Trigonometry, Logarithmic in Python

Lecture 22 Intersection and Union of Sets in Python

Lecture 23 Difference of Sets in Python

Lecture 24 True and False in Sets Using Python

Lecture 25 Adding and Removing Elements in Sets

Lecture 26 Code for Intersection and Union in Python

Lecture 27 Element in Sets

Lecture 28 Math and CMath

Lecture 29 Logarithmic and Mod Operators

Lecture 30 Bitwise Operators in Python

Lecture 31 Binary into Decimals in Python

Lecture 32 Binary into Integers

Lecture 33 Multiple Variables in Python

Lecture 34 True and False Statement in Python

Section 5: Arrays in Python

Lecture 35 Arrays in Python

Lecture 36 Inserting Elements in Array

Lecture 37 Pop Up Arrays

Lecture 38 Index and Reverse Arrays

Lecture 39 Finding Error in Codes: Assignment

Lecture 40 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >>

Section 6: Round off, Trigonometry, and Complex Numbers in Python

Lecture 41 Round off and Truncation

Lecture 42 Degrees into Radians and Radians into Degrees Using Python

Lecture 43 Positive and Negative Infinity in Python

Lecture 44 Not a Number Coding in Python

Lecture 45 Complex Numbers Coding in Python

Section 7: Strings in Python

Lecture 46 Printing Strings in Python

Lecture 47 Counting in Strings

Lecture 48 Open a File in Python

Lecture 49 Printing Multiple Strings in Python

Lecture 50 Strings True and False in Python

Lecture 51 Slicing and Indexing in Strings

Section 8: Strings, ord, chr, and Binary Numbers in Python

Lecture 52 Strings and Integers

Lecture 53 ord and chr Tools in Python

Lecture 54 Int and Binary Numbers in Python

Section 9: Lists and Dictionaries in Python

Lecture 55 Lists in Python

Lecture 56 Adding Strings in Lists

Lecture 57 Pop Up and Removing Strings in Lists

Lecture 58 Assignment Code

Lecture 59 Dictionaries in Python

Lecture 60 Lists and Dictionaries

Section 10: Tuples in Python

Lecture 61 Tuples in Python

Lecture 62 Lists into Tuples

Lecture 63 Why Lists and Tuples in Python

Lecture 64 Data File in Python

Section 11: Tuples and Sequences

Lecture 65 Assigning Tuples

Lecture 66 Strings

Lecture 67 Tuples into Lists

Lecture 68 Sequences in Python

Lecture 69 Multiple Sequences

Section 12: Loops, Sequences and List in Python

Lecture 70 Tuples into Loops

Lecture 71 Strings and Tuples

Lecture 72 Sequences into Loops

Lecture 73 List into Loop

Lecture 74 Item into Loop

Lecture 75 Appending Sequences

Section 13: Dictionaries and Comprehension in Python

Lecture 76 Range and List

Lecture 77 Dictionaries into Tuples

Lecture 78 Enumerator Functions

Lecture 79 List, Item and Iterators

Lecture 80 List Comprehension

Lecture 81 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >>

Section 14: Mapping, Zip and Attributes in Python

Lecture 82 Mapping in Python

Lecture 83 Zip and Map Operator

Lecture 84 Printing Dictionaries Items

Lecture 85 dir Attributes

Lecture 86 dir Attributes 2

Section 15: Arguments and Functions in Python

Lecture 87 Arguments

Lecture 88 Sequences and Arguments

Lecture 89 Intersection of Sequences

Lecture 90 Defining Functions

Lecture 91 Multiple Functions

Section 16: Argument, Defining Functions, and def in Python

Lecture 92 Changer Function

Lecture 93 Argument Functions

Lecture 94 Multiple Arguments and Functions

Lecture 95 Knownly Type of a Function

Lecture 96 Printing Tuples Using Functions

Lecture 97 def Statement

Section 17: Argument, String Code, and Sum Tree

Lecture 98 Min and MAX of Argument

Lecture 99 Assignment

Lecture 100 String Code

Lecture 101 Finding Sum of List

Lecture 102 Sum Tree

Section 18: Echo and Lambda Function

Lecture 103 Echo Function

Lecture 104 Schedule Function

Lecture 105 Printing a Function Value

Lecture 106 Lambda Function

Lecture 107 Multiple Lambda Function

Lecture 108 Lambda Function with Multiple Functions

Section 19: Lambda and Generating Function

Lecture 109 Lambda Function: Code Example

Lecture 110 Lambda Function: Code Example

Lecture 111 Range and Tuples

Lecture 112 Matrices in Python

Lecture 113 Generating a Function in Python

Lecture 114 Generating a Function: Code Example

Lecture 115 Set of Codes

Section 20: def and Reducing Function in Python

Lecture 116 def of Sum and Square

Lecture 117 Reducing Code in Python

Lecture 118 Function Reducing Tool

Lecture 119 for and if in Range

Lecture 120 res.append in Python

Lecture 121 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >>

Section 21: def Saver, ASCII, Exception, Encoding and Decoding in Python

Lecture 122 def Saver

Lecture 123 Python Module

Lecture 124 isinstance for String and Object

Lecture 125 def fetcher in Python

Lecture 126 Exception in Python

Lecture 127 ASII in Python

Lecture 128 encoding and decoding in Python

Lecture 129 encoding and decoding Lecture 2

Lecture 130 encoding and decoding Lecture 3

Lecture 131 encoding and decoding Lecture 4

Section 22: Get Attributes and Decorator in Python

Lecture 132 getName Coding

Lecture 133 GetAtrr in Python

Lecture 134 GetAtrribute in Python

Lecture 135 Decorator in Python

Lecture 136 Nested Decorator

Lecture 137 Annotation and Decorator

Lecture 138 functools for Decorator

Lecture 139 inspectfunc tool in Python

Section 23: Turtle, Pandas, Compilation, and Data Visualization

Lecture 140 Class Method in Python

Lecture 141 Turtle, Time and Random

Lecture 142 Pandas Library Code

Lecture 143 Compilation in Python

Lecture 144 Data Visualization in Matplotlib

Lecture 145 Scattering: Data Visualization

Lecture 146 Enumerator Function

Section 24: Logging, Data Visualization, and HTTP

Lecture 147 Plotly in MATPLOTLIB

Lecture 148 Plot: Data Visualization

Lecture 149 Logging and Exception

Lecture 150 Printing Vowels

Lecture 151 Map and Operator

Lecture 152 HTTP Server: Practical Python

Lecture 153 Socket Library for HTTP Server

Section 25: Make Calculator, Countdown Time, Size and Path of a File

Lecture 154 Tree Coding

Lecture 155 Tree Coding Lecture 2

Lecture 156 Name and Size of a File

Lecture 157 Countdown Time: Practical Python

Lecture 158 Make a Calculator: Practical Python

Section 26: PyAudio, DataFrame, More Pandas Library & Create a Leap Year

Lecture 159 Leap Year in Python

Lecture 160 PyAudio Lecture 1

Lecture 161 PyAudio Lecture 2

Lecture 162 Creating a Shelve in Python

Lecture 163 Pandas Library: DataFrame

Lecture 164 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!!

For those who have interest in Python,For those who want to build their career in programming languages like python