NulledCodeSolutions.online

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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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

https://www.gnu.org/proprietary/proprietary.html

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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Python in 3 Hours Python Programming for Beginners

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Python From Scratch & Selenium WebDriver QA Automation 2026
2026-01-20
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 28.16 GB | Duration: 39h 45m​

Bundle Course, Python and Selenium WebDriver from scratch for Automation Testing, SQL, Framework Design, Robot Framework

What you’ll learn
You will learn how to write Python programming language
You will learn how to build test Framework for Front-end and Back-end automation
You will learn how to write Selenium WebDriver scripts using the Python programming language
Hands on training on Python Scripting will enable you to develop, understand and analyze scripts in Python
You will learn SQL (Database Language) to read and write to database
You will have good understanding of Selenium Web Automation Framework
You will learn to build an E-Commerce site locally to practice testing
You will generate html test reports with screen shots for failed tests
You will have all the required skills and you will be confident to Automate any Web Application Tests using Selenium WebDriver and Python Scripting
You will be confident during software Test Automation job interviews
You will practice writing real tests on real E-Commerce site

Requirements
Required basic understanding of computer and how to install and run software on your computer
Good to have basic knowledge about HTML and Web Applications
The desire to learn is all you need

Description
Attention all struggling Software Testers, Automation Testers, and Students who are aspired to take their careers to the next level in Software Web Application Test Automation.Have you been trying endlessly to learn Selenium WebDriver Test Automation Framework to automate tests for your Web Applications, but haven’t had any luck? Do you want to learn Python Scripting and struggle to start? Do you want to take your software testing skills to the next level? If you have answered YES to any of those questions, then you are at the right place.!!! Here is one of the best-selling courses on Udemy to learn Python scripting from scratch and to learn Web Application Test Automation using Selenium WebDriver and Python. Unlike other courses, this course covers Python Scripting from scratch so even if you don’t know anything about Python scripting you can take this course. Hands-on training in Python Scripting and Selenium WebDriver will enable you to become a master in Web Application Test Automation. This course is designed for Software Testers, Automation Testers, and even for Students who are aspiring to take their career to the next level by learning Web Application Test Automation using Selenium WebDriver and Python. This course includes a step-by-step guide to learn starting from installation of Python, IDE (PyCharm), and Selenium WebDriver. Why should I take this course? With over 28+ hours of videos and around 108 modules, you will get a great understanding of how to automate web applications tests using Selenium WebDriver and Python Scripting I aim to make you understand Selenium WebDriver Framework and Python Scripting as quickly as possible Unlike other courses, this course covers Python Scripting from scratch so even if you don’t know Python scripting you can take this course You will have all the required skills and you will be confident to Automate any Web Application Tests using Selenium WebDriver and Python Scripting Hands-on training on Python Scripting will enable you to develop, understand and analyze scripts in Python After taking this course you will be confident to appear for job interviews for Software Test Automation profiles You will be able to put your Python and/or Selenium code on GitHub and use it in your resume You have lifetime access to this course and a 30-day satisfaction guaranteed with this course Overview of the Course Contents – Pythons Scripting – In the first half of this course you will have hands-on learning on Python Scripting, from scratch. We will start with the installation and configuration of Python, PIP, and PyCharm and introduction to Python scripting. Then we will learn about variables in Python, different data types, control flow, conditional statements, exception handling, and functions in Python. We will understand all these points with examples. At the end of this section, you can develop, understand, and analyze any Python script code. Selenium WebDriver – In the second part of this course we will talk about Selenium WebDriver. This section will also start with an introduction and step-by-step installation of Selenium WebDriver, which is an additional tool in Software Testing. Then we will cover how to run Web Automation test scripts on different browsers such as Chrome and Firefox. Next, we will talk about locating elements, basic actions, and dealing with common elements, windows, and frames in detail. We will also learn how to deal with URLs, how to open ULR or links in a new window, and how to take screenshots. We will write working functions and run them against some well-known websites and watch WebDriver do its magic. This is the course that could change your life. After taking this course, you will become proficient in Web Application Test Automation using Selenium WebDriver with Python scripting. An investment in your software testing career is an investment in yourself. Don’t procrastinate. There is no time like the present to take charge of your software testing career. Take your Software Testing and Test Automation skills to the next level by taking this course! You have a 30-day money-back guarantee.!!! And remember that once you purchase the course you will have lifetime access to the course and you have 30 days money-back guarantee if you do not like the course because of any reason. So, what are you waiting for? Go ahead and enroll now.

See you inside the course.!!!

Who this course is for:
This course is designed for Software Testers, Automation Testers and even for Students who want to learn Software Web Application Test Automation using Selenium WebDriver, Unlike other courses this course covers Python Scripting from scratch, so even a beginner or novice can take this course, This course is ideal for anyone who want to build and/or enhance their career in Test Automation, Those who are looking to prepare Test Automation interviews can also take this course

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Python for Automation: Automate Tasks, Excel, Web and Files
Published 10/2025
Duration: 5h | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.50 GB
Genre: eLearning | Language: English​

Learn Python step-by-step to automate repetitive tasks, handle files, Excel, emails, web scraping with real projects

What you’ll learn

• Automate repetitive tasks and workflows using Python
• Read, write, and manipulate Excel files and PDFs
• Organize and manage files and folders automatically
• Scrape data from websites and process it efficiently

Requirements
– No prior Python or programming experience required

Description
Do you spend hours on repetitive tasks like handling Excel files, sending emails, organizing folders, or scraping data from websites? What if you could automate all of that with Python and save yourself countless hours every week?

Python for Automation: Automate Tasks, Excel, Web, Emails & Filesis a hands-on, step-by-step course designed to teach you how to automate real-world tasks using Python. From beginners with no prior coding experience to professionals looking to boost productivity, this course has everything you need to master automation.

You’ll learn to:

Write Python scripts to automate daily tasks

Handle Excel files, PDFs, and folders efficiently

Send automated emails and notifications

Scrape and process data from websites

Build projects that save time and increase productivity

All lessons are project-based, so you’ll not just learn theory-you’ll create practical automation tools you can use immediately. By the end of this course, you’ll have the skills to automate tedious workflows, impress your team, and free up hours of your day!

Why take this course?

Step-by-step lessons for beginners and intermediates

Real-world projects to apply your skills immediately

Boost your productivity and workflow efficiency

Practical skills for both office work and personal projects

Take control of your time and make Python your productivity superpower. Start automating today!

Who this course is for:
– Anyone interested in productivity using Python automation
More Info

Year of release : 2024
Manufacturer : UDEMY
Manufacturer’s site : Code:Copy to clipboard

https://www.udemy.com/course/python-django-the-practical-guide/?couponCode=LETSLEARNNOW

Posted by Maximilian Schwarzmüller Academind by Maximilian S
Duration : 23h
Type of material given : Video lesson
Language : En
Description : The request not to leave the distribution, I can not maintain the distribution forever.
Share a freebie with other people, do not leave the distribution.
Call other people to switch to the rutrex.
Course in En. There are En subtitles.
Python is the most popular programming language of the world – it is versatile, easy to learn and very powerful!
But one of the primary things you can build with Python is a website! You can use Python for web development.
And to make that easier, you would typically use a framework like Django – simply because that allows you to focus on your core business logic and you don’t need to re-invent the wheel and implement all the nitty-gritty technical details from scratch.
This course is about Django – the most popular Python web development framework out there!
Django covers all aspects of web development – from handling requests and responses, over rendering dynamic HTML pages with templates, all the way up to making database access and data management easy. It’s all baked in and it’s all covered in great detail in this course!
This course teaches Django from the ground up – you don’t need to know anything about it to get started. Basic Python and web development knowledge is all you need.
We’ll start at the absolute basics and understand how to create Django project, how to run them and how to add features – step by step.
In detail, this course covers:
Installing Django
Creating and understanding Django projects
Understanding URLs, views, requests and responses
Working with templates and static files like CSS and images
Working with data and models
Connecting data with relationships (one-to-many, one-to-one, many-to-many)
Querying data with Django’s powerful model solution
Adding administration panels to your projects
Handling user input with forms – manually and with Django’s built-in form support
Advanced features like class-based views (and when to use them)
Dealing with file uploads and how to serve uploaded files
Working with sessions
In-depth deployment instructions and examples
Different ways of deploying and serving static files and user uploads
And much more!
Content
01 – Getting Started
02 – Course Setup
03 – URLs & Views
04 – Templates & Static Files
05 – Course Project Building a Blog – The Basics
06 – Data & Models
07 – Admin
08 – Relationships
09 – Course Project – Building a Blog Data & Models
10 – Forms
11 – Class Views
12 – File Uploads
13 – Sessions
14 – Course Project Building a Blog – Forms, Files & Sessions
15 – Deployment
16 – Optional Django Summary & Quick Introduction
17 – Bonus
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Video : H265 1920×1080 16: 9 30k / SEK 300 kbit / sec
Audio : AAC 48 kHz 128 kbps 2 channels

Python Django – The Practical Guide (4.14 GB)

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Year of release : February 2025
Manufacturer : Published by Pearson Via O’Reilly Learning
Manufacturer’s site : Code:Copy to clipboard

https://learning.oreilly.com/course/python-data-visualization/9780135426531/

Author : Bruno Goncalves
Duration : 6h 36m
Type of material given : Video lesson
Language : En
Description:
The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
Content
Introduction
Lesson 1 Human Perception
Lesson 2 Analytical Design
Lesson 3 Data Cleaning and Visualizion with Pandas
Lesson 4 Matplotlib
Lesson 5 Matploltib Animations
Lesson 6 Jupyter Widgets
Lesson 7 Seaborn
Lesson 8 Bokeh
Lesson 9 Plotly
Summary
Example files : no
Format Video : mp4
Video : AVC, 1280 x 720, 16: 9, 30.000 FPS, 3,000 KB/S (0.017 Bit/Pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR

Python Data Visualization Create impactful visuals, animations and dashboards (1.5 GB)

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https://drop.download/36ghvy0ac8cc/Python.Data.Visualization.Create.impactful.visuals.animations.and.dashboards.rar

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https://rapidgator.net/file/d3248a8ba193c59de1d771758dccd2a2/Python.Data.Visualization.Create.impactful.visuals.animations.and.dashboards.rar

Python Coding Challenges With Solutions For Beginners​

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Size: 134 MB
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https://rapidgator.net/file/99a24487a6307d472b9169a62a721166
https://buzzheavier.com/f/GTV5qOjpAAA
https://bowfile.com/75ut
https://1fichier.com/?sw45rtvkdn43z8p4yjjt
https://clicknupload.space/4hqabqrvrj3h
https://1cloudfile.com/26Exs
https://dailyuploads.net/ebtxzmqkvo7c
https://doodrive.com/f/vm88kx

Description
Are you ready to take your Python programming skills to the next level? Join us in this comprehensive course designed to help beginners master Python coding challenges and strengthen their problem-solving abilities. Through a series of engaging coding exercises and detailed solutions, you’ll gain hands-on experience and build confidence in your Python coding skills.

Why Coding Exercises?

Coding exercises are a fundamental part of software development. They help sharpen your problem-solving skills, improve your coding proficiency, and prepare you for technical interviews. In this course, you’ll get hands-on experience with a variety of coding exercises designed to challenge and expand your skills.

Course Structure:

Our course is structured to provide you with a comprehensive learning experience. Each module consists of a series of coding exercises covering different programming concepts and techniques. You’ll have the opportunity to practice solving these exercises on your own and then check your solutions against detailed explanations provided by our instructors.

What You’ll Learn:

Fundamental Python Concepts: Reinforce your understanding of Python fundamentals through practical coding challenges.
Data Structures and Algorithms: Explore common data structures with coding exercises that enhance your knowledge and proficiency.
Problem-Solving Strategies: Learn effective problem-solving techniques and strategies to tackle coding challenges efficiently and methodically.
Debugging and Optimization: Practice debugging techniques and learn how to optimize your code for better performance and readability.
How This Course Benefits Your Career:

Preparation for Technical Interviews: Coding challenges are a common component of technical interviews for software development roles. By mastering Python coding exercises, you’ll be well-prepared to ace technical interviews and demonstrate your problem-solving skills to potential employers.
Enhanced Problem-Solving Skills: Coding challenges provide practical opportunities to solve real-world problems using Python. By consistently practicing coding exercises, you’ll sharpen your problem-solving abilities and become a more effective programmer.
Portfolio Building: Completing coding challenges and showcasing your solutions in a portfolio demonstrates your proficiency in Python programming and can impress potential employers or clients.
Additional Content : Python Object-Oriented Programming (OOP) Concepts:

In addition to coding challenges, this course includes Additional content on Python Object-Oriented Programming (OOP) concepts. You’ll learn how to apply OOP principles such as classes, objects to solve coding challenges more effectively and efficiently.​ Spoiler: Why closed source is bad Code:Copy to clipboard

https://www.gnu.org/proprietary/proprietary.html

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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Year of release : 2020
Author : Tarek Abulnaga
Duration : ~3h
Type of material distributed : Video lesson
Language : En
Описание: Learn how to Analyze data using Pandas and Spark and how to create background tasks using Celery framework and RabbitMQ
What you’ll learn
Pandas and spark for data analysis
Using Queus for parallel programing
Python celery as pipeline framework
Using Kafka JDBC Connector with Oracle DB
Requirements
Basic knowledge of python and SQL

Description
The aim of this course is learning programming techniques to process and analyze data
Data Analysis
Will learn how to load from different data sources (database/files) into data frames, Will learn both pandas data frame and spark date frame
Will learn how to analyze the data (select, filtering, grouping and sorting) These operations will be done without hit the database which Make our analysis extremely faster
Parallel Programming
Insert the functions that need to be called as tasks in queues to be executed in the background while the main program still
This will enhance the performance, as the functions will be executed in parallel not in sequence as traditional programming executing.
Who this course is for:
Python and Oracle developers and students
Example files : present
Video format : MP4
Video : AVC, 1280×720, 16:9, 30fps, ~200kbps
Audio : AAC, 48kHz, 192kbps, stereo

Python Celery for Distributed Tasks and Parallel Programming (552.21 MB)
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https://rapidgator.net/file/c61494502ba3b4911061ed408455ea65/Python.Celery.for.Distributed.Tasks.and.Parallel.Programming.rar

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https://drop.download/uczrfvfgxiq2/Python.Celery.for.Distributed.Tasks.and.Parallel.Programming.rar