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Python for Beginners Prime Pack

Learn the practical implementation of Python using 6 best courses and an E-Book

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Python, Development, Data Science and AI ML, Programming Languages, Web Development

    • Video
      Python for Beginners - The Complete Course
      • Introduction to Python
      • Variable Types
        • Python Variable Types 05:54
      • Basic Operators
        • Operators in Python 16:50
      • Number System
        • Number System in Python 09:50
      • Strings
        • Strings in Python 27:51
      • Lists
        • Lists in Python 31:07
      • Tuple
        • Tuple Part 1 11:53
        • Tuple Part 2 09:34
      • Dictionary
        • Dictionary Part 1 10:51
        • Dictionary Part 2 09:27
      • IO Files
        • IO Files Part 1 11:39
        • IO Files Part 2 20:19
      • Date & Time
        • Date & Time 11:16
      • IF Else Statements
        • If else Statements 18:34
      • Loops
        • For Loop 11:46
        • While Loop 09:02
        • Break & Continue 04:25
      • Functions
        • Functions 11:57
    • Video
      Python 3 Essentials
      • Introduction
        • Introduction to Python 01:36 Preview
        • Downloading and Installing Python on Windows 01:21 Preview
        • Working with Visual Studio Code and Python 04:03 Preview
      • Overview
        • Covering the Python Syntax 02:53 Preview
        • Python-Overview-Comments-Imports 02:52 Preview
        • Python Overview-Blocks 03:43 Preview
        • Python Overview-String Formatting 02:14
        • Python Overview-Variable Scope & Blocks 01:46
        • Python Overview - Conditionals (if,else and elif) 03:30
        • Python Overview - Loops 02:08
        • Python Overview - Functions 03:51
        • Pyhton Overview - Class and Objects 04:32
      • Types and Values
        • Data-Types Introduction 01:17
        • String Formatting and Multi Lines 04:05
        • Numeric Types - Int,Float and Decimal 02:17
        • Bool Type 02:16
        • Lists, Tuples and Dictionary 05:20
        • Type and Id of items in Tuples/Lists 05:10
      • Conditionals
        • Conditional Operators 01:15
        • Ternary Opeator 01:14
      • Operators
        • Arithmetic Operators 02:30
        • Bitwise Operators 05:09
        • Comparison Operators 02:51
        • Boolean Operators 03:48
        • Operator Precedence 02:17
      • Loops
        • Loops in Python 01:38
        • While Loop 03:00
        • For Loop 01:30
      • Functions
        • Introduction to Main Function 02:51 Preview
        • Function Arguments - Call by Value and Call by reference 06:34
        • Function - Argument List 02:01
        • Function - Keyword Arguments 02:11
        • Function - Return Values 01:52
        • Function - Generators 01:40
        • Function - Wrapper/Decorators 04:52
      • Data Structures
        • Introduction 01:36
        • Lists and Tuples 05:20
        • Dictionaries 03:15
        • Sets 03:24
        • List Comprehension 01:51
        • Mixed Data Structure 01:58
      • Classes
        • Introduction to Classes 02:08
        • Class - Constructor 02:58
        • Overriding Print Method in a Class 02:07
        • Inheritance 03:36
        • Iterators 02:32
      • Exceptions
        • Handling Exceptions 03:14
        • Registering Errors - Raising Exceptions 01:27
      • String Objects
        • Overview 02:40
        • String Methods 02:45
        • String Formatting 03:14
        • String Splitting 02:07
      • File Handling
        • File - Opening 03:06
        • File - Text 01:48
        • File - Binary 01:58
      • Common Methods
        • Built-in Numeric Functions 02:06
        • Built-in String Functions 01:49
        • Container Functions 03:32
        • Object and Classes 03:48
      • Modules
        • Using standard Python modules 04:03
        • Creating a module 01:31
      • Database
        • Working with Database - SQLLite3 05:30
        • Working with Database - MySQL 08:18
      • Conclusion
        • Conclusion 00:27
    • Video
      Build Hotel Management System With TKinter And Python 3
      • Complete Hotel Management System in Python
        • Overview of Complete Hotel Management System in python 21:01 Preview
        • Course Materials
        • Building the main screen 18:23
        • Creating the Date and Time 10:36
        • Building the Calculator 09:51
        • Modification of the Calculator 07:04 Preview
        • Entry Box for meal 13:19
        • Entry box for Drinks 05:40 Preview
        • Order Delivery and Booking of Room 13:15
        • Cost Display Screens 16:56
        • Currency Converter 15:29
        • Control Buttons 12:27
        • Definition of Functions 13:14
        • More on function definition 17:16
        • Working on the Total Button 21:15
        • Roundup of the Total 09:58
        • Modification of the Total Button 15:05
        • Building the Currency Converter 12:53
        • Reset Button 18:26
        • Clear and Exit Buttons 08:39
        • Movable Screen Display 09:28
        • Movable Text Display 17:40
    • Video
      Learn Python Programming by Making a Game
      • Introduction
        • Introduction 02:32 Preview
        • Source Files
        • Installing Python and Pygame for Mac 04:54 Preview
        • Installing Python and Pygame for PC 04:33 Preview
        • Introduction to Idle 07:12 Preview
        • Introduction to Variables 06:22
        • Variable Operations 07:26
        • Tuples, Lists, Dictionaries 13:17
        • If Statements 09:25
        • While and For in Loops 10:51
        • Functions 11:31
        • Introduction to Classes and Objects 14:30
        • Subclasses and Inheritance 13:40
        • Pygame Project - Setting up the Display 07:09
        • Pygame Project - Building a Basic Game Loop 10:45
        • Pygame Project - Displaying Shapes and Images 11:37
        • Pygame Project - Making Code Object Oriented 10:34
        • Pygame Project - Creating Game Object Class 08:32
        • Pygame Project - Implementing Player Class and Basic Movement 16:43
        • Pygame Project - Implementing Enemy Class and Bounds Checking 12:36
        • Pygame Project - Implement Collision Detection 15:10
        • Pygame Project - Implementing Win and Lose Conditions 11:26
        • Pygame Project - Increasing Game Difficulty 07:26
        • Pygame Project - Project Summary 05:13
    • Video
      Build A Dental Website With Python and Django
      • Install All The Web Development Tools
        • Introduction 03:02 Preview
        • Install Python 03:36 Preview
        • Install The Sublime Text Editor and Git Bash Terminal 05:19 Preview
        • Set Up A Virtual Environment 04:40
        • Install Django and Start Our Project 05:00
        • Run the Django Server 05:14
        • Start a New Django App 03:21
        • Urls.py Files 04:26
      • Build Our Dental Website
        • Build our First Webpage 06:48 Preview
        • Download the Dental Template 06:14
        • Create The Static Directory 04:59
        • Install the Dental Template 05:08
        • Add Static Tags to The Template 07:21
        • Tweak Our Static Tags (part 2) 05:26
        • Tweak Our Static Tags (part 3) 06:40
        • Building Django Links 05:05
        • Tweak The HTML Template 06:23
        • Add Custom Images 05:40
        • Add A Video 02:46
        • Contact Page 06:05
        • Change The Contact Page Map 05:14
        • Build The Contact Form 05:50
        • Build The Contact Form (part 2) 03:53
        • Send Email With Django 04:30
        • Send Email With Django (part 2) 05:07
        • Send Email With The Development Sendmail Server 06:11
        • Create an Email Response Page 05:46
      • Version Control And Web Hosting
        • Version Control With Git 05:48
        • Github.com 08:16
        • Intro To Heroku For Webhosting 03:56
        • Install The Heroku Toolbelt 02:29
        • Install Modules For Heroku 05:06
        • Settings.py Heroku Changes 03:17
        • Push Our Code To Heroku 08:02
        • Add A Domain Name 07:44
    • Video
      Python For Data Analysis and Data Science: Zero To Mastery With Pandas
      • Getting Started
        • Course Introduction 03:35 Preview
        • How To Get Most Out Of This Course 02:05
        • How To Install Python IPython And Jupyter Notebook 08:26
        • How To Install Anaconda For macOS And Linux Users 06:37
        • How To Work With The Jupyter Notebook Part - 1 16:12
        • How To Work With The Jupyter Notebook Part - 2 10:59
      • Pandas Building Blocks
        • How To Work With The Tabular Data 05:22 Preview
        • How To Read The Documentation In Pandas 13:48 Preview
      • Pandas Data Structures
        • Theory On Pandas Data Structures 05:43
        • How To Construct The Pandas Series 12:18 Preview
        • How To Construct The DataFrame Objects 13:00
        • How To Construct The Pandas Index Objects 12:16
        • Practice Part 01 04:10
        • Practice Part 01 Solution 21:58 Preview
      • Data Indexing And Selection
        • Theory On Data Indexing And Selection 05:49
        • Data Selection In Series Part 1 05:42
        • Data Selection In Series Part 2 02:15
        • Indexers Loc And Iloc In Series 12:12
        • Data Selection In DataFrame Part 1 04:33
        • Data Selection In DataFrame Part 2 03:27
        • Indexers Loc Iloc And Ix In DataFrame Objects 09:00
        • Practice Part 02 02:38
        • Practice Part 02 Solution 12:48
      • Essential Functionalities
        • Theory On Essential Functionalities 10:02
        • How To Reindex Pandas Objects 11:44
        • How To Drop Entries From An Axis 08:11
        • Arithmetic And Data Alignment 07:20
        • Arithmetic Methods With Fill Values 15:25
        • Broadcasting In Pandas 06:56
        • Apply And Applymap In Pandas 07:51
        • How To Sort And Rank In Pandas 13:22
        • How To Work With The Duplicated Indices 04:06
        • Summarising And Computing Descriptive Statistics 07:02
        • Unique Values Value Counts And Membership 12:00
        • Practice_Part_03 02:16
        • Practice_Part_03 Solution 16:57
      • Data Handling
        • Theory On Data Handling 04:32
        • How To Read The Csv Files Part - 1 19:27
        • How To Read The Csv Files Part - 2 14:38
        • How To Read Text Files In Pieces 07:24
        • How To Export Data In Text Format 09:47
        • How To Use Python's Csv Module 10:40
        • Practice_Part_04 02:41
        • Practice_Part_04 Solution 15:29
      • Data Cleaning And Preparation
        • Theory On Data Preprocessing 10:53
        • How To Handle Missing Values 09:34
        • How To Filter The Missing Values 09:01
        • How To Filter The Missing Values Part 2 09:08
        • How To Remove Duplicate Rows And Values 12:25
        • How To Replace The Non Null Values 09:04
        • How To Rename The Axis Labels 06:41
        • How To Descretize And Bin The Data Part 22:03
        • How To Filter And Detect The Outliers 03:46
        • How To Reorder And Select Randomly 07:07
        • Converting The Categorical Variables Into Dummy Variables 09:49
        • How To Use 'map' Method 06:52
        • How To Manipulate With Strings 12:24
        • Using Regular Expressions 20:09
        • Working With The Vectorized String Functions 08:07
        • Practice_Part_05 02:33
        • Practice_Part_05 Solution 14:37
      • Data Wrangling
        • Theory On Data Wrangling 07:42
        • Hierarchical Indexing 08:12
        • Hierarchical Indexing Reordering And Sorting 06:47
        • Summary Statistics By Level 02:47
        • Hierarchical Indexing With DataFrame Columns 05:03
        • How To Merge The Pandas Objects 19:40
        • Merging On Row Index 13:10
        • How To Concatenate Along An Axis 18:37
        • How To Combine With Overlap 06:46
        • How To Reshape And Pivot Data In Pandas 08:51
        • Practice_Part_06 01:22
        • Practice_Part_06 Solution 06:11
      • Data Grouping And Aggregation
        • Theory On Data GroupBy And Aggregation 03:59
        • Groupby Operation 15:37
        • How To Iterate Over Groupby Object 05:45
        • How To Select Columns In Groupby Method 02:59
        • Grouping Using Dictionaries And Series 02:57
        • Grouping Using Functions And Index Level 05:28
        • Data Aggregation 10:19
        • Practice_Part_07 02:54
        • Practice_Part_07 Solution 13:10
      • Time Series Analysis
        • Theory On Time Series Analysis 06:28
        • Introduction To Time Series Data Types 10:12
        • How To Convert Between String And Datetime 12:53
        • Time Series Basics With Pandas Objects 12:53
        • Date Ranges Frequencies And Shifting Part - 1 11:21
        • Date Ranges Frequencies And Shifting Part - 2 10:41
        • Periods And Period Arithmetic’s 10:46
        • Time Zone Handling 08:50
        • Practice_Part_08 02:41
        • Practice_Part_08 Solution 12:12
      • How To Analyse With The Part of Real Life Projects
        • A Brief Introduction To The Pandas Projects 10:30
        • Project_1 Description 04:41
        • Project_1 Solution Part - 1 17:29 Preview
        • Project_1 Solution Part - 2 13:47
        • Project_2 Description 02:19
        • Project_2 Solution 19:29
        • Project_3 Description 02:37
        • Project_3 Solution Part - 1 12:07
        • Project_3 Solution Part - 2 12:25
    • eBook
      Python 3 Tutorial
  • Description

    Overview: Python Fundamentals & Basics, Building Hotel Management System using Tkinter and Python3, Learn while Making a Game, Dental Website with Django and Python, Data Analysis and Data Science, 100+ real life examples.


    • 6 Modules
    • 260+ Lectures
    • 34+Hrs HD Videos
    • 20+ Projects
    • Course Designed by Industry Experts
    • Up-to-Date Curriculum
    • eBooks
    • Full Lifetime Access
    • 30 Days Refund Policy
    • Certificate on Completion


    About the Premium Pack:

    Welcome to our Python Premium Packs for beginners. Python is a great language for the beginner-level programmers and supports the development of a wide range of applications from simple text processing to WWW browsers to games.

    At Tutorialspoint we have designed the premium pack for beginners who are looking to get started in the world of python and start on the path to becoming a developer and get the strong foundation by building games, hotel management systems, dental websites through Django, Data Science and Machine learning.


    Scope of Python:

    Most Used Programming Language among Developers as of early 2021

    4 out of 5 developers claim that Python is their main language!

    A Python developer can earn as much as $118,000 a year!

    The majority of Python users are between the ages of 21 and 35!

    Python is the second most sought-after language on the internet.

    Python is one of the official languages used by Google!

    There are 147,000 packages in the Python’s package repository!


    Projects Overview:

    Complete Hotel Management System in python

    Pygame Project (Build a game similar to Crossy Road or Frogger!)

    Building Dental Website (From installing, building template, contact form and sending email through web page)

    Goals

    • You will learn fundamentals of Python3
    • You can create your own python projects and set up a base for python advance.
    • Will complete the Python 3 Project with ease.
    • You can build reputed “Frogger Style Game” with Python3
    • You can learn template driven web development with django and python.
    • How to use python for data science and data analytics
    • 100+ exercises and real life projects to make your foundation strong.

    Prerequist

    • You just need a computer with Internet access and a Web Browser
    • Basic Programming & Python3 Knowledge
    • Basic knowledge of python GUI is a great plus.
    • You'll need a computer, a web browser and a code editor (Google chromes and Adobe brackets)
    • Download Anaconda 4.2.0 which contains Python 3.5.2 and pandas 0.19.2.
    • Basic or Intermediate Exp for Microsoft Excel and Spreadsheets.
Python for Beginners Prime Pack
This Prime Pack Includes :

34.5 hours

6 Video Courses

1 eBooks

Lifetime Access
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