Category: Tutorials

Querying Data from MongoDB
Duration: 1h 45m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 163 MB
Genre: eLearning | Language: English​

MongoDB is a popular and trending technology. In fact, it occupies the 5th position in database usage. By the end of this course you will learn how to tackle most aspects related to filtering, sorting and displaying data in MongoDB.
MongoDB occupies the 5th position in database usage, making it a popular and trending technology. In this course, Querying Data from MongoDB, you will learn how to efficiently create Mongo DB queries. First, you will explore using the Mongo shell to connect to Mongo servers and write database queries. Next, you will discover how to filter data by using the most common query operators. Then, you will move on to implementing sorting, paging and field selection. Beyond this, you will learn how to write complex queries such as nested documents or geospatial data. Finally, you will gain an understanding on handling edge cases caused by the schema-less nature of MongoDB, such as null values, missing fields or queries by data type, as well as querying array fields. By the end of this course, you should feel confident tackling a wide range of queries in real MongoDB databases. In fact, you will be able to use these skills in real projects right away.

Quarkus: Data and Persistence
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 2h 3m | 329 MB
Instructor: Antonio Goncalves​

What you’ll learn

How do you handle data persistence effectively in applications built with Quarkus? In this course, Quarkus: Data and Persistence, you’ll learn to implement data access patterns.

First, you’ll explore Hibernate ORM with Panache to simplify entity management and reduce boilerplate code. Next, you’ll discover reactive database access using Quarkus’ reactive clients and Mutiny for non-blocking, high-throughput operations. Finally, you’ll learn how to use RESTful web services to access data with pagination and filtering to optimize performance.

When you’re finished with this course, you’ll have the skills and knowledge of data persistence needed to to build Quarkus applications with efficient data management.

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Last updated 11/2023 MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.50 GB | Duration: 15h 3m​

Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations

What you’ll learn
Understand stock market fundamentals
Understand bonds and bond pricing
Understand the Modern Portfolio Theory and Markowitz model
Understand the Capital Asset Pricing Model (CAPM)
Understand derivatives (futures and options)
Understand credit derivatives (credit default swaps)
Understand stochastic processes and the famous Black-Scholes model
Understand Monte-Carlo simulations
Understand Value-at-Risk (VaR)
Understand CDOs and the financial crisis
Understand interest rate models (Vasicek model)

Requirements
You should have an interest in quantitative finance as well as in mathematics and programming!

Description
This course is about the fundamental basics of financial engineering. First of all you will learn about stocks, bonds and other derivatives. The main reason of this course is to get a better understanding of mathematical models concerning the finance in the main. First of all we have to consider bonds and bond pricing. Markowitz-model is the second step. Then Capital Asset Pricing Model (CAPM). One of the most elegant scientific discoveries in the 20th century is the Black-Scholes model and how to eliminate risk with hedging. IMPORTANT: only take this course, if you are interested in statistics and mathematics !!!Section 1 – Introductioninstalling Pythonwhy to use Python programming languagethe problem with financial models and historical dataSection 2 – Stock Market Basicspresent value and future value of moneystocks and sharescommodities and the FOREXwhat are short and long positions?Section 3 – Bond Theory and Implementationwhat are bondsyields and yield to maturityMacaulay durationbond pricing theory and implementationSection 4 – Modern Portfolio Theory (Markowitz Model)what is diverzification in finance?mean and varianceefficient frontier and the Sharpe ratiocapital allocation line (CAL)Section 5 – Capital Asset Pricing Model (CAPM)systematic and unsystematic risksbeta and alpha parameterslinear regression and market riskwhy market risk is the only relevant risk?Section 6 – Derivatives Basicsderivatives basicsoptions (put and call options)forward and future contractscredit default swaps (CDS)interest rate swapsSection 7 – Random Behavior in Financerandom behaviorWiener processesstochastic calculus and Ito’s lemmabrownian motion theory and implementationSection 8 – Black-Scholes ModelBlack-Scholes model theory and implementationMonte-Carlo simulations for option pricingthe greeksSection 9 – Value-at-Risk (VaR)what is value at risk (VaR)Monte-Carlo simulation to calculate risksSection 10 – Collateralized Debt Obligation (CDO)what are CDOs?the financial crisis in 2008Section 11 – Interest Rate Modelsmean reverting stochastic processesthe Ornstein-Uhlenbeck processthe Vasicek modelusing Monte-Carlo simulation to price bondsSection 12 – Value Investinglong term investingefficient market hypothesisAPPENDIX – PYTHON CRASH COURSEbasics – variables, strings, loops and logical operatorsfunctionsdata structures in Python (lists, arrays, tuples and dictionaries)object oriented programming (OOP)NumPyThanks for joining my course, let’s get started!

Anyone who wants to learn the basics of financial engineering!

Python, Excel and Machine Learning for Stocks Data Science

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Python REST APIs with Flask Docker MongoDB and AWS DevOps

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Python Programming Full Course (Basics,OOP,Modules,PyQt)

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Python Oop: A Complete Course In Object Oriented Programming
Published 8/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 894.37 MB | Duration: 3h 25m​

Learn Python Object Oriented Programming from Scratch: Master Classes, Inheritance, Polymorphism, and More

What you’ll learn

What is Object-Oriented Programming?

Understanding Classes and Objects

Procedural vs. Object-Oriented Programming

Defining and Creating Classes

Class vs. Instance Variables

Understanding Instance Methods

Method Overloading and Overriding

Method Resolution Order (MRO)

Implementing Abstraction with Abstract Base Classes (ABCs)

Understanding Magic Methods and Operator Overloading

Understanding Composition vs. Inheritance

Code Organization and Modular Design

Writing Clean and Maintainable OOP Code

Creating a GUI Application Using OOP

Requirements

No prior knowledge is required!

Description

Dive into the world of Python and master the powerful concept of Object-Oriented Programming (OOP) with our comprehensive course, "Python OOP: A Complete Course in Object-Oriented Programming." This course is designed for both beginners and experienced programmers who want to understand and apply OOP principles effectively in their Python projects.What You Will Learn:Introduction to OOP Concepts: Understand the core principles of Object-Oriented Programming, including classes, objects, inheritance, polymorphism, encapsulation, and abstraction.Python Classes and Objects: Learn how to define and use classes and objects in Python. Explore how to create and manage objects, attributes, and methods.Inheritance and Polymorphism: Master inheritance to reuse and extend code, and understand polymorphism to write flexible and maintainable code.Encapsulation and Abstraction: Discover how to protect your data and create modular code using encapsulation and abstraction techniques.Advanced OOP Techniques: Dive deeper into advanced topics such as multiple inheritance, operator overloading, method overriding, and the use of decorators in OOP.Real-World Projects: Apply your skills with hands-on projects that involve creating real-world applications and solving complex problems using OOP concepts.Why Choose This Course?Comprehensive Curriculum: Cover everything from basic to advanced OOP concepts, ensuring you gain a thorough understanding of Python OOP.Hands-On Learning: Engage with practical exercises and projects designed to reinforce your learning and help you apply OOP concepts in real-world scenarios.Expert Instructor: Learn from an experienced instructor who provides clear explanations, real-world examples, and practical tips.Lifetime Access: Enjoy unlimited access to course materials, allowing you to learn at your own pace and revisit lessons whenever you need.Career Advancement: Enhance your programming skills and improve your job prospects by mastering OOP in Python, a critical skill for any software developer.Who Should Enroll?Beginner Programmers: Start your programming journey with a strong foundation in Python OOP.Intermediate Developers: Strengthen your understanding of OOP principles and learn how to apply them in Python.Experienced Programmers: Sharpen your OOP skills and learn new techniques to enhance your coding practices.Anyone: Whether you’re new to programming or looking to deepen your Python knowledge, this course is for you!Take the next step in your programming journey by enrolling in "Python OOP: A Complete Course in Object-Oriented Programming." Master the OOP concepts that will set you apart as a proficient Python developer! By completing this course, you’ll gain the confidence and skills needed to write clean, efficient, and reusable code using Object-Oriented Programming in Python. Join us now and start your journey to becoming an expert in Python OOP!

Overview

Section 1: Module 1: Introduction to Object-Oriented Programming

Lecture 1 What is Object-Oriented Programming?

Lecture 2 Understanding Classes and Objects

Lecture 3 Procedural vs. Object-Oriented Programming

Section 2: Module 2: Classes and Objects

Lecture 4 Defining and Creating Classes

Lecture 5 Understanding the init Method

Lecture 6 Creating and Using Objects

Lecture 7 Class vs. Instance Variables

Section 3: Module 3: Methods in Python OOP

Lecture 8 Understanding Instance Methods

Lecture 9 Class Methods and @classmethod

Lecture 10 Static Methods and @staticmethod

Lecture 11 Method Overloading and Overriding

Section 4: Module 4: Inheritance and Polymorphism

Lecture 12 Introduction to Inheritance

Lecture 13 Single and Multiple Inheritance

Lecture 14 Method Resolution Order (MRO)

Lecture 15 Polymorphism and Method Overriding

Section 5: Module 5: Encapsulation and Abstraction

Lecture 16 Understanding Encapsulation

Lecture 17 Public, Protected, and Private Attributes

Lecture 18 Implementing Abstraction with Abstract Base Classes (ABCs)

Lecture 19 Practical Examples of Encapsulation and Abstraction

Section 6: Module 6: Advanced OOP Concepts

Lecture 20 Understanding Magic Methods and Operator Overloading

Lecture 21 Creating Custom Iterators and Generators

Lecture 22 Understanding Composition vs. Inheritance

Section 7: Module 7: Working with Real-World Projects

Lecture 23 Code Organization and Modular Design

Lecture 24 Writing Clean and Maintainable OOP Code

Lecture 25 Creating a GUI Application Using OOP

Lecture 26 Project:- Building a Simple OOP-Based Calculator

Start your programming journey with a strong foundation in Python OOP.,Anyone interested in a comprehensive course Python Object Oriented Programming.

Year of release : 2025
Manufacturer : UDEMY
Author : Ardit Sulce
Duration : 51 hours 30m
Type of material given : Video lesson
Language : En
Description:
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Share a freebie with other people, do not leave the distribution.
Call other people to switch to the rutrex.
Course in En. Added En subtitles using Speech to Text for Adobe Premier Pro.
In this 60-day Python course, you will transform from a beginner with no coding experience to a proficient Python programmer capable of building real-world applications and confidently applying for entry-level programming jobs. With a curriculum focused on hands-on projects, you will develop the practical skills and experience that employers value.
Throughout the course, you will work on 20 hands-on projects designed to build practical skills from the ground up. These projects cover a range of real-world scenarios, from task automation and web development to working with APIs and databases. By completing each project, you’ll not only deepen your understanding of Python but also create a portfolio that demonstrates your abilities to potential employers. With step-by-step guidance and lifetime access to all course materials, you’ll have everything you need to confidently apply your new skills in the job market.
A Sneak Peek of the 20 Projects You’ll Build:
1. All List app
2. Project Showcase Website
3. Python PDF Maker
4. Excel to PDF Invoice Generator
5. Emailing Daily News from API
6. Weather Data API
7. Weather Forecast Dashboard
8. NLP (Natural Language Processing) for eBooks
9. Webcam Alert App
10. Web Scraping Musical Events
11. Hotel Booking App in OOP Style
12. Code Review: The Mario Game
13. SQLite Student Management System
14.MySQL Student Management System
15. Web Automation Tool (GUI) with Selenium
16. Web App with Flask
17. Web App with Django
18. Food Order Management Web App with Django
19. Movie Recommendation System
20. Building and Publishing a Python Package
Master Key Python Concepts:
Python basics
Intermediate and advanced Python concepts
Automation
Data analysis and visualization
APIs
Web development
Data science and machine learning
Database management
Object-oriented programming
Package development
Why You’ll Love This Course
Learn by Doing: You’ll start coding real applications right away, building practical skills as you go.
Flexible Pace: Whether you want to follow the suggested 60-day plan or work at your own speed, the choice is yours.
Build a Portfolio: By the end, you’ll have 20 applications to showcase on GitHub, proving your skills to employers or clients.
Career-Ready Skills: Learn key tools and practices used in the tech industry, like Git, GitHub, and working with APIs.
All Levels Welcome: Whether you’re just getting started or looking to strengthen your programming skills, this course is designed for learners of all backgrounds.
If you’re ready to start your Python journey and build projects you can be proud of, join thousands of students who have already transformed their skills with The Python Mega Course. Enroll today and start coding with confidence!
Content
01 – MODULE PYTHON BASICS Day 1 App 1 -Build a Todo List App #datatypes
02 – Day 2 App 1 -Build a Todo List App #methods #while-loops
03 – Day 3 App 1 -Build a Todo List App #match-Case #for-loops
04 – Day 4 App 1 -Build a Todo List App #list-indexing #tuples
05 – Day 5 App 1 -Build a Todo List App #enumeration #f-strings
06 – Day 6 App 1 -Build a Todo List App #processing-text-files
07 – Day 7 App 1 -Build a Todo List App #list-comprehension #comments
08 – Day 8 App 1 -Build a Todo List App #with-context-manager
09 – Day 9 App 1 -Build a Todo List App #if #elif #else #dictionaries
10 – Day 10 App 1 -Build a Todo List App #error-handling #try-except
11 – Day 11 App 1 -Build a Todo List App #custom-functions
12 – Day 12 App 1 -Build a Todo List App #function-arguments
13 – Day 13 App 1 -Build a Todo List App #default-arguments
14 – Day 14 App 1 -Build a Todo List App #local-modules
15 – Day 15 App 1 -Build a Todo List App #standard-modules #git
16 – Day 16 App 1 -Build a Todo List App #third-party-modules #github
17 – Day 17 App 1 -Build a Todo List App #desktop-guis
18 – Day 18 App 1 -Build a Todo List App #gui-configuration
19 – Day 19 App 1 -Build a Todo List App #web-apps
20 – Day 20 Summary of Python Basics
21 – MODULE PYTHON INTERMEDIATE Day 21 App 2 -Project Showcase Website Part 1
22 – Day 22 App 2 -Build a Project Showcase Website Part 2
23 – Day 23 App 2 -Build a Project Showcase Website Part 3
24 – Day 24 App 3 -Build a Python PDF Maker
25 – Day 25 App 4 -Build an Excel to PDF Invoice Generator Part 1
26 – Day 26 App 4 -Build an Excel to PDF Invoice Generator Part 2
27 – MODULE APIs Day 27 App 5 -Email Daily News from API with Python Part 1
28 – Day 28 App 5 -Email Daily News from API with Python Part 2
29 – MODULE DATA ANALYSIS Day 29 App 6 -Build a Weather Data API Part 1
30 – Day 30 App 6 -Build a Weather Data API Part 2
31 – Day 31 App 6 -Build a Weather Data API Part 3
32 – Day 32 App 7 -Build a Weather Forecast Dashboard Part 1
33 – Day 33 App 7 -Build a Weather Forecast Dashboard Part 2
34 – Day 34 App 8 – NLP (Natural Language Processing) for eBooks Part 1
35 – Day 35 App 8 -NLP (Natural Language Processing) for eBooks Part 2
36 – Day 36 App 9 -Build a Webcam Alert App Part 1
37 – Day 37 App 9 -Build a Webcam Alert App Part 2
38 – MODULE WEB SCRAPING Day 38 App 10 -Web Scraping Music Events Part 1
39 – Day 39 App 10 -Web Scraping Music Events Part 2
40 – MODULE OOP (OBJECT-ORIENTED PROGRAMMING) Day 40 Introduction to OOP
41 – Day 41 App 11 -Build a Hotel Booking App in OOP Style Part 1
42 – Day 42 App 11 -Build a Hotel Booking App in OOP Style Part 2
43 – Day 43 App 11 -Build a Hotel Booking App in OOP Style Part 3
44 – Day 44 App 12 -Code Review The Mario Game
45 – MODULE SQL & GUI Day 45 App 13 -SQLite Student Management System Part 1
46 – Day 46 App 13 -Build an SQLite Student Management System Part 2
47 – Day 47 App 13 -Build an SQLite Student Management System Part 3
48 – Day 48 App 14 -Build a MySQL Student Management System
49 – Day 49 App 15 -Build Web Automation Tool (GUI) with Selenium
50 – MODULE WEB DEVELOPMENT Day 50 App 16 -Build a Web App with Flask Part 1
51 – Day 51 App 16 -Build a Web App with Flask Part 2
52 – Day 52 App 17 -Build a Web App with Django Part 1
53 – Day 53 App 17 -Build a Web App with Django Part 2
54 – Day 54 App 17 -Build a Web App with Django Part 3
55 – Day 55 App 18 -Build a Food Order Management Web App with Django Part 1
56 – Day 56 App 18 -Build a Food Order Management Web App with Django Part 2
57 – Day 57 App 18 -Build a Food Order Management Web App with Django Part 3
58 – MODULE DATA SCIENCE & ML Day 58App 19 -Movie Recommendation System Part 1
59 – Day 59 App 19 -Build a Movie Recommendation System Part 2
60 – MODULE Day 60 App 20 -Build and Publish a Python Package
Example files : present
Format Video : mp4
Video : H265 1920×1080 16: 9 30k / SEK 300 kbit / sec
Audio : AAC 48 kHz 128 kbps 2 channels

Python Mega Course Learn Python in 60 Days Build 20 Apps (10.05 GB)

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Python In Excel: Zero To Hero
Published 9/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.05 GB | Duration: 4h 28m​

The ultimate guide to using the new Python In Excel feature

What you’ll learn

Introduction to Python in Excel: Master the seamless integration of Python within Excel and unlock the potential of dynamic spreadsheet programming.

Foundations of Python Data Types in Excel: Dive deep into handling integers, strings, lists, tuples, and dictionaries right inside your spreadsheets.

Crafting Python Functions in Excel: Learn how to create, call, and optimize Python functions to automate and enhance your Excel tasks.

Date and Time Mastery with Python in Excel: Understand and manipulate dates and times like never before, leveraging Python’s datetime module.

Dataframes in Excel with Python: Integrate the power of Pandas dataframes in Excel, streamlining data analysis and transformations.

Control Flow in Excel using Python: Implement ‘if’, ‘for’, and ‘while’ statements to add advanced logical operations and loops to your Excel processes.

Harnessing Power Query with Python in Excel: Elevate your data extraction and transformation skills by combining the capabilities of Power Query with Python.

Requirements

Basic Excel Proficiency: Familiarity with Excel’s interface and fundamental features such as worksheets, rows, columns, and basic formulas.

Willingness to Learn Python: No prior Python knowledge required! We’ll guide you through the basics and get you scripting in no time.

Access to the Latest Version of Excel (Possibly BetaChannel): Ensure you have the latest version of Excel that supports the Python integration feature. If not I’ll teach you how to turn on Beta Channel.

A Computer with Excel Installed: Whether you’re on Windows or Mac, ensure you have a device capable of running Excel.

An Open Mind: Be ready to embrace the blend of traditional spreadsheet tasks with the dynamism of Python scripting.

Active Internet Connection: Required for downloading resources, accessing course updates, and seeking online help or additional Python in Excel examples during the course.

Description

Unlock the full potential of Excel by using Python in Excel into your workflow. In this comprehensive course, we will take a deep dive into the revolutionary Python in Excel feature, transforming you from a beginner to an expert in leveraging Python’s capabilities within Excel.Here’s what you will learn:Foundation of Python: Kickstart your journey with an introduction to Python basics, understanding data types like lists, tuples, sets, and dictionaries, all while operating within the familiar environment of Excel.Function Crafting: Step-by-step tutorials on crafting Python functions will empower you to perform complex operations with ease.Package Utilization: Discover the richness of Python packages available and learn how to integrate them in Excel to enhance its functionalities.Control Flow Mastery: Get hands-on experience with Python control structures including ‘if’, ‘for’, and ‘while’ statements, to bring logic and flexibility to your Excel sheets.Project-Based Learning: Undertake a real-world project analyzing sales orders to hone your skills and learn practical applications of Python in Excel.Bonuses you’ll walk away with:Comprehensive Package Guide: Receive an exhaustive write-up detailing all the packages available in Python for Excel, serving as a ready reference for your future projects.Exclusive Bonus Spreadsheet: Gain access to a specially crafted spreadsheet that assists in determining the functionalities available for Python in Excel, a tool designed to facilitate smoother operations.Embark on this learning journey to merge the analytical power of Python with the simplicity of Excel, opening doors to unparalleled efficiency and opportunities in data analysis and reporting.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Disclaimer

Lecture 3 Calculation Options

Lecture 4 Installing BetaChannel (If Required)

Section 2: Basic Python Data Types

Lecture 5 Excel Workbook Used For Data Types

Lecture 6 Hello World

Lecture 7 Python Numbers

Lecture 8 Python Bool (True and False)

Lecture 9 Python Comparisons

Lecture 10 Python Strings

Section 3: Python Lists

Lecture 11 Excel Workbook Used For Lists

Lecture 12 Python Lists

Lecture 13 Indexing

Lecture 14 Nested Lists

Lecture 15 Type Function

Lecture 16 Float and List Type

Lecture 17 Slicing

Lecture 18 Lists Challenge

Section 4: Python Tuples, Sets, and Dictionaries

Lecture 19 Excel Workbook For This Tuples Sets and Dictionaries

Lecture 20 Python Tuples

Lecture 21 Python Sets

Lecture 22 Python Dictionaries

Section 5: Python Functions

Lecture 23 Excel Workbook For Functions

Lecture 24 Functions Basics

Lecture 25 Sum Function

Lecture 26 If Function

Lecture 27 More Functions

Lecture 28 Args and Kwargs

Section 6: Python Pandas DataFrames

Lecture 29 Excel Workbooks For Dataframes

Lecture 30 Dataframes Lesson 1

Lecture 31 Dataframes Lesson 2

Lecture 32 Selecting Data With loc and iloc

Lecture 33 Datetime Basics

Lecture 34 Timedelta

Lecture 35 Time In Pandas

Lecture 36 Date Formats

Lecture 37 Back To Continued

Section 7: Python If For While

Lecture 38 Excel Workbook – If For While

Lecture 39 Python Code Blocks

Lecture 40 Python If Statements

Lecture 41 Python For Statements

Lecture 42 Python While Statements

Section 8: Sales Orders Project

Lecture 43 Excel Workbook and CSV File For Sales Order Project

Lecture 44 Sales Order Project Lesson 1

Lecture 45 Sales Order Project Lesson 2

Lecture 46 Sales Order Project Lesson 3

Lecture 47 Sales Order Project Lesson 4

Lecture 48 Sales Order Project Lesson 5

Section 9: Additional Material

Lecture 49 Excel Workbook For Discovering Python Packages

Lecture 50 Explanation of Python Packages (handy_stuff.xlsx) WorkBook

Lecture 51 Brief Descriptions of Each Python Package Available

Excel Enthusiasts: Individuals looking to supercharge their Excel capabilities by using Python in Excel for more dynamic spreadsheet tasks.,Data Analysts and Professionals: Those aiming to elevate their data manipulation, transformation, and analysis skills within Excel using Python’s powerful libraries.,Beginners in Programming: Anyone new to programming but familiar with Excel, seeking a hands-on approach to learning Python in a familiar environment.,Business Professionals: Individuals in accounting, finance, marketing, sales, HR, and other sectors who regularly use Excel and want to automate and enhance their workflows.,Students: Academics looking to leverage Python in Excel for research, data analysis, or project work.,Excel Trainers and Consultants: Professionals seeking to update their skill set and offer training or consulting services on the latest Excel features, including Python integration.

Python in Excel: Working with pandas DataFrames​

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Description
Python and Excel are both some of the most popular “programming languages”, especially for data analytics/data science. Combined, they are even more powerful. In this course, author and Excel expert Felix Zumstein explains how to work with pandas DataFrames in Excel. pandas DataFrames are the backbone of every Python-based data analysis in Excel. Get a thorough introduction to DataFrames. Learn how to turn different sources-such as an Excel range, an Excel table, or a Power Query-into a DataFrame. Find out why and when it makes sense to use a DataFrame, as opposed to native Excel features like Power Query, Pivot Tables, or VLOOKUP formulas. Use a practical dataset to explore the basics of working with DataFrames, including an index, headers, filtering data, dropping duplicates, adding a new column, combining two DataFrames, and re-indexing. Plus, take a quick look at time series and visualizations.​ Spoiler: Why closed source is bad Code:Copy to clipboard

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Spoiler: Is "Linux" better than Windows Yes, in its own way. There are a lot of learning curves and the biggest thing preventing new comers is gate keeping from elitist or very opinionated individuals that provide useless or unwanted input to new users trying to ask questions or seek assistance or advice. Install a Distro in a virtual machine and see what you think. Easiest way to transition is get used to the alternatives to MS Office and Adobe products as they don’t fully work on linux without huge headaches through a compatibility layer known as WINE. For me the biggest selling point was that linux puts the personal computing back in PC. Just don’t expect everything to work exactly the same as it did on Windows even if the user interface looks and feels the same.
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