Python from scratch
by University of Waterloo

0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion

🔗 https://open.cs.uwaterloo.ca/python-from-scratch/

#python #beginners
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

What to do when code is not working

Join @Coding_CommunityOfficial for more

𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Join this amazing channel to learn data science and machine learning with funny quizzes, interesting projects and amazing resources for Free
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Computer Science 61B, 002 - Spring 2015
Data structures
by UC Berkeley (University of California)


👨‍🏫 Teacher: Joshua A. Hug
🎬 37 video lessons
⏰ 35 hours
✅ Free

🔗 Course link

#datastructures #algorithms #cs #dsa
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Cuvette is India's best platform for internships, offering PPOs and final placements, priority access to exclusive corporate events, and student scholarships.

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𝗧𝗵𝗼𝘀𝗲 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗼𝗿 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗲 𝗶𝗻 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗲𝘀𝘁𝘀 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲𝘀𝗲 𝗯𝗲𝗹𝗼𝘄 𝗴𝗿𝗼𝘂𝗽𝘀👇👇.

𝟭. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@cp_discussion_group

@cp_coding_grp

@allcodingsolution_official

𝟮. 𝗟𝗘𝗘𝗧𝗖𝗢𝗗𝗘 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@leetcode_cp

𝟯. 𝗖𝗢𝗗𝗘𝗙𝗢𝗥𝗖𝗘𝗦 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@codeforces_cp

𝟰. 𝗖𝗢𝗗𝗘𝗖𝗛𝗘𝗙 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@codechef_group

Free Data Mining Courses

NOC:Data Mining, IIT Kharagpur
🎬 44 video lesson
⏰ 8 Modules
Taught by: Prof. Pabitra Mitra
Source: NPTEL
🔗 COURSE LINK

Data Mining for Beginners | Data Mining Full course | Learn Data Mining in 10 Hours | Great Learning
🎬 17 video lesson
Duration ⏰ : 10 hours worth of material
🏃‍♂️ Self paced
Source: Great Learning
🔗 COURSE LINK

NOC:Business analytics and data mining Modeling using R, IIT Roorkee
🎬 56 video lesson
⏰ 12 Modules
🔗 COURSE LINK
NOC:Business Analytics & Data Mining Modeling Using R Part II, IIT Roorkee
🎬 20 video lesson
⏰ 4 Modules
🔗 COURSE LINK
Taught by: Dr. Gaurav Dixit
Source: NPTEL

Data Mining with Weka MOOC
✅ Free Online Course
🧱 5 modules
🎬 Video Lectures
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Source: University of Waikato
Taught by: Ian H. Witten
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WEKA - Data Mining with Open Source Machine Learning Tool
Rating⭐️: 4.2 out 5
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Data Mining Crash Course
🎬 6 video lesson
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Clustering in Data mining | K means Clustering Algorithm | Hierarchical Clustering | Great Learning
🎬 86 video lesson
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Mining Online Data Across Social Networks
⏰ Free Online Course
🎬 30 video lesson
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DATA MINING (DM)
⏰ Free Online Course
🏃‍♂️ Self paced
Source: YouTube
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#Data_Mining
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Data science and python books channel
did you hear about it?

Join it immediately, here's a brief overview of that channel that most people don't know.
It is the number one channel in the world of Telegram that offers all data science books, Python and other programming languages
You can download any book for free, in addition to downloading the famous software courses

Join link:
t.me/datascience4

Deep Learning free courses

Introduction to Deep Learning
🎬 10 video lesson
Duration ⏰: 1 week worth of material
🏃‍♂️ Self paced
📄 Notes, 👨‍🏫 Labs and many more
☢️ Projects, Competitions
Teacher: Alexander Amini, Ava Soleimany
Source: MIT
🔗 Course link

Practical Deep Learning For Coders
🎬 8 video lessons
📔 Book Read online
📄 Notes, 👨‍🏫 Labs and many more
Duration ⏰: 7 weeks long, 10 hours a week
🏃‍♂️ Self paced
Teacher: Jeremy Howard
Source: fast.ai
🔗 Course link

Deep Learning
by Kaggle
🎬 13 video lesson
Duration ⏰: 2 hours worth of material
🔗 Course link

Learn Deep Learning and TensorFlow, without a Ph.D.
🎬 8 video lesson
Duration ⏰: 3 hours worth of material
🏃‍♂️ Self paced
📄 Notes, slides
Teacher: Martin Görner
Source: Google Cloud
🔗 Course link

Explore Deep Learning for Natural Language Processing
🎬 9 video lesson
Duration ⏰: 7-8 hours worth of material
🏃‍♂️ Self paced
Resource: Trailhead
🔗 Course link

Deep Learning Summer School
🎬 35 video lesson
Duration ⏰: 35+ hours
🏃‍♂️ Self paced
Resource: deeplearning
🔗 Course link

Deep Learning Prerequisites: The Numpy Stack in Python V2
Rating ⭐️: 4.5 out of 5
Students 👨‍🎓: 2230
Duration ⏰: 1hr 59min
Created by Lazy Programmer Team, Lazy Programmer Inc.
🔗 Course link

AI 101 Video Presentation
presentation given by 👨‍🏫: MIT’s Brandon Leshchinskiy
🔗 Presentation link

Deep Learning in Life Sciences - Spring 2021
🎬 22 video lesson
Duration ⏰: 31 hours worth of material
🏃‍♂️ Self paced
Teacher: Manolis Kellis
Resource: Class Central
🔗 Course link

Intro to Deep Learning
by Kaggle
Use TensorFlow and Keras to build and train neural networks for structured data.
Duration ⏰: 4 hours
🔗 Course link


Deep Learning An MIT Press book 📚
Authers: Ian Goodfellow, Yoshua Bengio and Aaron Courville
🔗 Book link

#Deep_Learning #deeplearning #dl #machinelearning
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Code Gladiators is an annual coding competition by TechGig, that draws the best and the brightest coding talent from all over the world. With multiple contests in emerging technologies and the coveted title of Code Gladiator up for grabs, the competition sees enthusiastic participation and has grown from strength to strength with each passing year for past 10 years.

Participate in Code Gladiators

Get a placement opportunity with top Startups and MNC Companies.


Opportunity to earn cash prizes.

Two online coding rounds.

Registration Link :

https://bit.ly/CodingContestWithJobOffer

𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗙𝗲𝗲𝘀: 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗙𝗿𝗲𝗲

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗳𝗼𝗿 Code Gladiators & 𝗴𝗲𝘁 𝗰𝗿𝗮𝘇𝘆 job offers from top Startups and MNC companies.
🚶𝗛𝘂𝗿𝗿𝘆 𝗨𝗽, 𝗳𝗲𝘄 𝘀𝗲𝗮𝘁𝘀 𝗹𝗲𝗳𝘁!

So what are you waiting for?

APPLY FAST

Crypto 101's book is an introductory course on cryptography, freely available for programmers of all ages and skill levels.

🔗 Book link

#cryptography #cybersecurity
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

C# free courses

C# Tutorial - Full Course for Beginners
🎬 31 video lesson
Duration ⏰: 4-5 hours worth of material
🏃‍♂️ Self paced
Resource: freeCodeCamp
🔗 Course Link

Fundamentals of Programming: Understanding C#
Rating ⭐️: 4.6 out of 5
Students 👨‍🎓: 70,635
Duration ⏰: 10hr 20min
Created by: Jesse Dietrichson
🔗 Course Link

C# Complete Course (C# Tutorial for Beginners + Advance C# OOP Tutorials + C# Console Application + C# Windows Form Application + C# SQL Database)
🎬 44 video lesson
Duration ⏰: 9 hours worth of material
🏃‍♂️ Self paced
Teacher: Coding Cafe
🔗 Course Link

C# - Programming Language | Tutorial
🎬 31 video lesson
🏃‍♂️ Self paced
Resource: Youtube
🔗 Course Link

Automated Visual Testing with C#
🎬 11 video lesson
Duration ⏰: 1-2 hours worth of material
🏃‍♂️ Self paced
Teacher: Nikolay Advolodkin
Resource: Test Automation University
🔗 Course Link

Take your first steps with C#. (No Video)
⏳Modules: 8
⏰ Duration: 3 hr 51 min
☢️ Exercises, Programs
🏃‍♂️ Self paced
Resource: Microsoft
🔗 Course Link

Learn C#. (No Video)
⏳Modules: 15
⏰ Duration: 6 weeks long, 1-2 hours a week
☢️ Exercises, Programs
🏃‍♂️ Self paced
Resource: learncs.org
🔗 Course Link

#Csharp
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

𝗧𝗵𝗼𝘀𝗲 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗼𝗿 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗲 𝗶𝗻 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗲𝘀𝘁𝘀 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲𝘀𝗲 𝗯𝗲𝗹𝗼𝘄 𝗴𝗿𝗼𝘂𝗽𝘀👇👇.

𝟭. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@cp_discussion_group

@cp_coding_grp

@allcodingsolution_official

𝟮. 𝗟𝗘𝗘𝗧𝗖𝗢𝗗𝗘 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@leetcode_cp

𝟯. 𝗖𝗢𝗗𝗘𝗙𝗢𝗥𝗖𝗘𝗦 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@codeforces_cp

𝟰. 𝗖𝗢𝗗𝗘𝗖𝗛𝗘𝗙 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@codechef_group

𝟱. 𝗚𝗘𝗘𝗞𝗦𝗙𝗢𝗥𝗚𝗘𝗘𝗞𝗦 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗿𝗼𝘂𝗽:

@gfg_discuss

You asked for Free Django Courses
Here are some:


Django For Everybody - Full Python University Course 2021
by FreeCodeCamp
🎬 17 video lessons
⏰ 10 hours worth of material
🔗 Course link


Django Tutorial (Create a Blog)
by Net Ninja
🎬 47 video lessons
⏰ 5 hours worth of material
🔗 Course link

A Beginners Guide to Django!
by Udemy
Learn all the basics of Django through a step-by-step process by creating your very own Polls Application for free!
Rating ⭐️: 4.4 out of 5
Students 👨‍🎓: 78100
Duration ⏰: 1hr 46min
🔗 Course link

Getting started with Django
by djangoproject
🔗 Course link


Python Django Web Framework - Full Course for Beginners
by FreeCodeCamp
🎬 32 video lessons
⏰ 4 hours worth of material
🔗 Course link

Python 3 na Web com Django (Básico e Intermediário)
by Udemy
Rating ⭐️: 4.4 out of 5
Students 👨‍🎓: 365,277
Duration ⏰: 15hr 58min
Language: Portuguese!
🔗 Course link

Django Girls Tutorial
🔗 Course link

Django Tutorials
by Corey Schafer
🎬 17 video lessons
⏰ 10 hours worth of material
🔗 Course link

Try Django 2.2 - Web Development with Python 3.6+
by Udemy
Teacher 👨‍🏫: Justin Mitchel
Rating ⭐️: 4.3 out of 5
Students 👨‍🎓: 50,695
Duration ⏰: 4hr 18min
🔗 Course link

✅ All courses are completely free

#django #python
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

𝗧𝗵𝗼𝘀𝗲 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗼𝗿 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗲 𝗶𝗻 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗲𝘀𝘁𝘀 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲𝘀𝗲 𝗯𝗲𝗹𝗼𝘄 𝗴𝗿𝗼𝘂𝗽𝘀👇👇.

𝟭. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@cp_discussion_group

@cp_coding_grp

@allcodingsolution_official

𝟮. 𝗟𝗘𝗘𝗧𝗖𝗢𝗗𝗘 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@leetcode_cp

𝟯. 𝗖𝗢𝗗𝗘𝗙𝗢𝗥𝗖𝗘𝗦 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@codeforces_cp

𝟰. 𝗖𝗢𝗗𝗘𝗖𝗛𝗘𝗙 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽:

@codechef_group

𝟱. 𝗚𝗘𝗘𝗞𝗦𝗙𝗢𝗥𝗚𝗘𝗘𝗞𝗦 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗿𝗼𝘂𝗽:

@gfg_discuss

Join @Coding_CommunityOfficial for more

𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Introduction to Python 3 (basics) - Learning to Program with Python 3
by sentdex

🎬 15 video lessons
📝 blogpost for each lesson

Content:
Tuples, Strings, Loops
Lists and Tic Tac Toe Game
Built-in Functions
Indexes and Slices
Functions
Function Parameters and Typing
Mutability Revisited
Error Handling
Calculating Horizontal Winner (tic tac toe)
Vertical Winners
Diagonal Winners
Bringing Things Together
Wrapping up Tic Tac Toe
Conclusion

🔗 Course link

#python
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

I accidentally run across this today, thought it might be interesting to share:

Wizardzines questions
Questions is an unusual medium designed by Julia Evans in which the form of the writing is a series of questions.
This site is made to help you identify things you don't know, because the only way to learn new things is to first find out what you don't know

🔗 Link:
https://questions.wizardzines.com/

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @Coding_CommunityOfficial for more

𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Lecture Notes from Introduction to C++ course
by MIT

Part 1
1 Introduction
2 Flow of control
3 Functions
4 Arrays and strings
5 Pointers

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