Python for Beginners Prime Pack

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

Tutorialspoint

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

- Video
  Python 3 from scratch to become a developer in demand
  - Introduction
    Introduction 01:27 Preview
    
    How to reach me anytime and ask questions? 03:43
  - Setup And Configuration
    Python Installation - Windows 07:09 Preview
    
    Configuration Of Python - Windows 11:37
    
    Python Installation And Setup - Mac 09:16 Preview
    
    First Project Creation And PyCharm Installation 15:35
    
    Must Watch Lecture Before Moving Forward 09:00
    
    Package Management Using PIP 08:04
    
    IDE Options For Python Development 05:46
    
    Installing iPython 03:41
  - Understanding Variables And Data Type
    Python Terminal Walkthrough 11:45 Preview
    
    Understanding Objects And References 09:16
    
    Variables Rules 07:24
    
    Numbers Data Type And Math Operations 07:25
    
    Numbers - Exponentiation And Modulo 05:44
    
    Arithmetic Order Of Precedence 06:51
    
    Boolean Data Type 06:02
    
    Working With Strings 09:33
    
    String Methods - Part 1 10:59
    
    String Methods - Part 2 08:10
    
    More String Slicing And Indexing 07:41
    
    Strings Formatting 05:10
    
    S3 - Documents
  - Advanced Data Types
    List And Accessing The Elements 07:53
    
    List Methods 10:53
    
    Working With Dictionary 10:33
    
    Nested Dictionary 07:03
    
    Dictionary Methods 06:41
    
    Working With Tuple 06:28
    
    S4 - Documents
  - Comparison And Boolean Operators
    Working With Comparators 09:48
    
    Understanding Boolean Operators 07:10
    
    Boolean Operators - Order Of Precedence 07:41
  - Program Control Flow
    Conditional Logic - If Else Conditions 11:19
    
    While Loop Demo 07:49
    
    Break Continue And While/Else 09:41
    
    For Loop Demo 11:25
    
    Iterating Multiple Lists - Using the Zip Function 03:49
    
    Using Range Function In For Loop 08:35
    
    S6 - Documents
  - Methods - Working With Reusable Code
    Understanding Methods 10:27
    
    Working With Return Values 12:30
    
    Working With Positional / Optional Parameters 07:21
    
    Understanding Variable Scope 10:15
    
    More Built-In Functions 09:45
    
    Reusable Code - Exercise With Solution 10:33
    
    S7 - Documents
  - Classes - Object Oriented Programming
    Understanding Objects / Classes 09:15
    
    Create Your Own Object 12:37
    
    Create Your Own Methods 08:58
    
    Inheritance 08:07
    
    Method Overriding 08:47
    
    Classes - Exercise With Solution 04:01
    
    S8 - Documents
  - Exception Handling
    Exception Handling 10:17
    
    Finally And Else Block 07:38
    
    Exception Handling - Exercise With Solution 03:28
    
    S9 - Documents
  - Modules
    Builtin Modules 08:54
    
    Create Your Own Modules 06:42
    
    S10 - Documents
  - Working With Files
    How To Write Data To A File 08:48
    
    How To Read A File 06:24
    
    File Handling Using "With" And "As" Keywords 09:32
    
    S11 - Documents
  - Logging Infrastructure
    Introduction To Logging Infrastructure 10:49
    
    Changing The Format Of Logs 08:39
    
    Logger - Console Example 09:02
    
    Logger - Configuration File Example 12:27
    
    How To Write A Generic Custom Logger Utility 14:09
- Video
  Object Oriented programming with Python
  - File Handling
    Overview 06:16 Preview
    
    File Object attribute 06:05 Preview
    
    File Object Method Intro 02:19
    
    read() and readline() 04:27
    
    write() 03:11
    
    write() -2 [different modes] 08:47
    
    isatty() and next() 04:51
    
    close() , flush() , fileno() , tell() , seek() 08:34
    
    os.rename() and os.remove() 03:29
  - OOPS
    Introduction(Procedural vs Oops, Features and Fundamental concepts of OOPs) 05:05 Preview
    
    Class (Methods in Class) 06:36
    
    Practical-1 Class 06:29 Preview
    
    Practical-2 Built-in Attribute 03:44
    
    Features of OOPS 02:56
    
    Inheritance 04:11
    
    Inheritance Practical(Multilevel and Multiple Inheritance) 09:19
    
    Polymorphism 06:04
    
    Encapsulation 13:43
    
    Constructors 09:45
    
    Operator Overloading 10:09
    
    Method Overriding 01:48
- Video
  Learn Python In A Day With 6 Projects
  - Learning Resources
    Download the Source Code Here
  - Introduction
    Introduction 01:44 Preview
    
    Installing Python 3 00:35
    
    Coding Python online 01:57
    
    Bring up the IDLE3 01:12
  - BMI Cal - Monitor your health
    BMI Cal app introduction 01:25 Preview
    
    Data type - Integer and String 01:19
    
    Variables - Storing the data 00:59
    
    print(), str(), int() - Built-in python functions 02:31 Preview
    
    format() - Built-in python functions 02:52
    
    input() - Built-in python functions 02:17
    
    def - Define your functions 04:19
    
    if/elif/else - Conditional statements 05:10
    
    Saving your code - The BMI app 01:51
  - Lucky Color - Guess what's your lucky color today?
    Lucky Color app introduction 01:20
    
    List - Using List to define the colors 03:42
    
    random - Select the lucky color 03:06
    
    Loop - Keep retrying 07:46
    
    Project - What's your lucky color today 06:54
  - Lottery - Try your luck
    Lottery app introduction 01:56 Preview
    
    Set - Storing the lottery numbers 05:01
    
    While loop - Getting the numbers from gamers 05:48
    
    Split() - From String to List 05:27
    
    Global/local variables - Important concept in programming 03:37
    
    Parameters - Important concept in programming 02:54
    
    The lottery app - The final project 14:18
  - Vocabulary builder
    Vocabulary builder app introduction 01:54 Preview
    
    dict - Build your dictionary 05:45
    
    loop - get the content from the dictionary 03:35
    
    error and exception - Adding new vocabulary 05:47
    
    Project - Vocabulary Revision 17:49
  - The hunter game
    Section introduction 01:57
    
    Classes and objects 07:55 Preview
    
    Passing objects 08:25
    
    Inheritance 08:44
    
    The hunter game (part 1) 17:38
    
    The hunter game (part 2) 10:05
  - To Do List
    To Do List app introduction 01:23 Preview
    
    Read file 05:51 Preview
    
    Write file 02:37
    
    Final Project - To Do List (Part 1) 09:07
    
    Final Project - To Do List (Part 2) 07:33
- 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 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
  - - Python 3 Tutorial Preview
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.

This Prime Pack Includes :

36 hours

6 Video Courses

1 eBooks

Lifetime Access

Python for Beginners Prime Pack

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

Description

About the Premium Pack:

Scope of Python:

Projects Overview:

Goals

Prerequist

Preview

Preview