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The fundamentals of programming - Python Tutorial 👨‍🏫 Teacher: Annyce Davis 🎬 39 short video lessons 📊 Level: beginner ✅ Free Topics: 1. Programming Basics 2. Programming Syntax 3. Variables and Data Types 4. Conditional Code 5. Modular Code 🔗 Course link #python #programming #learning ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your friends! 🚀

Web Development for Beginners by Microsoft Authors: Jen Looper, Chris Noring, Christopher Harrison, Jasmine Greenaway, Yohan Lasorsa, Floor Drees, and sketchnote artist Tomomi Imura 🎬 24 lessons Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about JavaScript, CSS, and HTML basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. 🔗 Link to Course 🔗 Link to PDF #webdev #webdevelopment #microsoft ➖➖➖➖➖➖➖➖➖➖ Join @coderslearning for more Share with your friends! 🚀 Enjoy Learning 👍

You asked me to resend some free Python courses shared here in the past. So here you go: 1. Introduction to Computer Science and Programming in Python: From MIT, for free! 🙌🏼 No registration or download required https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/ Video lessons 🎥 Slides and code 👨‍💻 2. CS50’s Web Programming with Python and JavaScript by Harvard University: HTML, CSS Git Python Django SQL, Models, and Migrations JavaScript User Interfaces Testing, CI/CD Scalability and Security Start learning immediately, no registration or download required. 3. Python course by Google 🔗Link to Course No registration or download needed. 4. Python for Beginners Programming with Python By Microsoft Authors: Susan Ibach, GeekTrainer 🎬 44 episodes ⏰ 180 mins 🔗 Link to course 5. NOC:Programming, Data Structures and Algorithms using Python ⌛️ 6 weeks 👨‍🏫 45 lectures 🔗 Link to course 6. Scientific Computing with Python Author: Dr. Charles Severance (also known as Dr. Chuck). 🎬 56 lessons 💻 5 scientific projects 📜 Free certification 🔗 Link to course Additional materials: Python Tutorial -> Condensed Cheatsheet https://learnxinyminutes.com/docs/python3/ Free Python Books A list of Python books in English that are free to read online or download. ⭐️ 2.6k https://github.com/pamoroso/free-python-books Learn Python the Hard Way Author: Zed Shaw Language: English Level: Beginner Online version (by the original author - no worries, this isn't a pirate link!) of the "Learn Python the Hard Way." book. It emphasizes repetition and concept understanding. 🔗https://learnpythonthehardway.org/python3/ #python #pythonbooks #pythoncourses ➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your friends! 🚀 Enjoy Learning 👍

10 Ways to Speed Up Your Python Code 1. List Comprehensions numbers = [x**2 for x in range(100000) if x % 2 == 0] instead of numbers = [] for x in range(100000): if x % 2 == 0: numbers.append(x**2) 2. Use the Built-In Functions Many of Python’s built-in functions are written in C, which makes them much faster than a pure python solution. 3. Function Calls Are Expensive Function calls are expensive in Python. While it is often good practice to separate code into functions, there are times where you should be cautious about calling functions from inside of a loop. It is better to iterate inside a function than to iterate and call a function each iteration. 4. Lazy Module Importing If you want to use the time.sleep() function in your code, you don't necessarily need to import the entire time package. Instead, you can just do from time import sleep and avoid the overhead of loading basically everything. 5. Take Advantage of Numpy Numpy is a highly optimized library built with C. It is almost always faster to offload complex math to Numpy rather than relying on the Python interpreter. 6. Try Multiprocessing Multiprocessing can bring large performance increases to a Python script, but it can be difficult to implement properly compared to other methods mentioned in this post. 7. Be Careful with Bulky Libraries One of the advantages Python has over other programming languages is the rich selection of third-party libraries available to developers. But, what we may not always consider is the size of the library we are using as a dependency, which could actually decrease the performance of your Python code. 8. Avoid Global Variables Python is slightly faster at retrieving local variables than global ones. It is simply best to avoid global variables when possible. 9. Try Multiple Solutions Being able to solve a problem in multiple ways is nice. But, there is often a solution that is faster than the rest and sometimes it comes down to just using a different method or data structure. 10. Think About Your Data Structures Searching a dictionary or set is insanely fast, but lists take time proportional to the length of the list. However, sets and dictionaries do not maintain order. If you care about the order of your data, you can’t make use of dictionaries or sets.

Free Resources to learn C & C++ Programming 👇👇 Fundamentals of Programming Languages Free Udacity course 🔗 Course Link C++ for Programmers Free Udacity Course 🔗 Course Link C++ Tutorial for Complete Beginners Free Udemy Course 🔗 Course Link C Programming documentation from Microsoft 🔗 Course Link C Programming Free Book 🔗 Book Link C++ Notes for Professional Free Book 🔗 Book Link #c #cpp #cplusplus ➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more free courses👈 Share with your friends! 💯🚀 Enjoy Learning 👍

One of you guys asked about C++ materials, So here are few free C++ courses and learning materials: C++ Tutorial for Complete Beginners ⭐️ 4.6 (41,345 ratings) 👨‍🎓 548,853 students ⏰ 17hr 59min of on-demand video 👨‍🏫 Created by John Purcell 🔗 Course link ————————————————- University of Cambridge Department of Engineering offers a beginner’s resource for starting C++. Resources include local teaching; general references, tutorials and online resources. 🔗 Resources link ————————————————- Programming Methodology course by Stanford University covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language. Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; concurrent programming (using C and C++) is covered in programming paradigm course. 🔗 Programming methodology course link 🔗 Programming paradigm course link #cplusplus #c++ #cpp ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your friends! 🚀

Introduction to Python 3 (basics) - Learning to Program with Python 3 🎬 13 lessons ⏰ 2 hours of video + code examples and readings 🔗 Link to course Intermediate Python Programming introduction 🎬 28 lessons ⏰ 4.5 hours of video + code examples and readings 🔗 Link to course Sockets Tutorial with Python 3 part 1 - sending and receiving data 🎬 5 lessons ⏰ 100 minutes of video + code examples and readings 🔗 Link to course #python ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your friends! 🚀

DSA INTERVIEW QUESTIONS AND ANSWERS 1. What is the difference between file structure and storage structure? The difference lies in the memory area accessed. Storage structure refers to the data structure in the memory of the computer system, whereas file structure represents the storage structure in the auxiliary memory. 2. Are linked lists considered linear or non-linear Data Structures? Linked lists are considered both linear and non-linear data structures depending upon the application they are used for. When used for access strategies, it is considered as a linear data-structure. When used for data storage, it is considered a non-linear data structure. 3. How do you reference all of the elements in a one-dimension array? All of the elements in a one-dimension array can be referenced using an indexed loop as the array subscript so that the counter runs from 0 to the array size minus one. 4. What are dynamic Data Structures? Name a few. They are collections of data in memory that expand and contract to grow or shrink in size as a program runs. This enables the programmer to control exactly how much memory is to be utilized.Examples are the dynamic array, linked list, stack, queue, and heap. 5. What is a Dequeue? It is a double-ended queue, or a data structure, where the elements can be inserted or deleted at both ends (FRONT and REAR). 6. What operations can be performed on queues? enqueue() adds an element to the end of the queue dequeue() removes an element from the front of the queue init() is used for initializing the queue isEmpty tests for whether or not the queue is empty The front is used to get the value of the first data item but does not remove it The rear is used to get the last item from a queue. 7. What is the merge sort? How does it work? Merge sort is a divide-and-conquer algorithm for sorting the data. It works by merging and sorting adjacent data to create bigger sorted lists, which are then merged recursively to form even bigger sorted lists until you have one single sorted list. 8.How does the Selection sort work? Selection sort works by repeatedly picking the smallest number in ascending order from the list and placing it at the beginning. This process is repeated moving toward the end of the list or sorted subarray. Scan all items and find the smallest. Switch over the position as the first item. Repeat the selection sort on the remaining N-1 items. We always iterate forward (i from 0 to N-1) and swap with the smallest element (always i). Time complexity: best case O(n2); worst O(n2) Space complexity: worst O(1) 9. What are the applications of graph Data Structure? Transport grids where stations are represented as vertices and routes as the edges of the graph Utility graphs of power or water, where vertices are connection points and edge the wires or pipes connecting them Social network graphs to determine the flow of information and hotspots (edges and vertices) Neural networks where vertices represent neurons and edge the synapses between them 10. What is an AVL tree? An AVL (Adelson, Velskii, and Landi) tree is a height balancing binary search tree in which the difference of heights of the left and right subtrees of any node is less than or equal to one. This controls the height of the binary search tree by not letting it get skewed. This is used when working with a large data set, with continual pruning through insertion and deletion of data. 11. Differentiate NULL and VOID ? Null is a value, whereas Void is a data type identifier Null indicates an empty value for a variable, whereas void indicates pointers that have no initial size Null means it never existed; Void means it existed but is not in effect 12. Do dynamic memory allocations help in managing data? How? Dynamic memory allocation stores simple structured data types at runtime. It has the ability to combine separately allocated structured blocks to form composite structures that expand and contract as needed, thus helping manage data of data blocks of arbitrary size, in arbitrary order. ENJOY LEARNING 👍👍

🔥DSA PDFs/Books 🔥 Hello Friends ! Here is a free DSA book for you ❤ Download or save this link ASAP cause ill delete this after some time 😇 https://drive.google.com/drive/folders/1YCtYaSzzuqNulW6c7Rz_D735jzubxwI2?usp=sharing

Learn Advanced MS Excel http://bit.ly/3g8CRK1 Use below coupon code to get this paid course for Rs 1475 absolutely free Coupon code: EXCELGIFT You will also get certificate after completing the course ✅   ENJOY LEARNING👍 Join @coderslearning for more ✅ Share with your friends! 🚀

Python for Everybody (PY4E) by Charles R. Severance (aka Dr. Chuck) 🎬 17 sections with multiple video lessons 👨‍🏫 Prof. Dr. Charles R. Severance ✅ Completely free 🔗 Link #python ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your buddies! 🚀

Beginner's Series to: Node.js by Microsoft 🎬 26 lessons 👨‍🏫 Multiple insturcotrs ✅ Completely free Learning any new technology is a time-consuming process where it's easy to get lost. This is why we created this series of practical, bite-sized videos about Node.js for beginners so you can get up to speed quickly! 🔗 Course link #nodejs #microsoft ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your buddies! 🚀

Free Resources to learn Maths for Machine Learning 🧠💡 📚Linear Algebra 📚Multivariate Calculus 📚Mathematics for Machine Learning 📚 Pattern Recognition and Machine Learning 📚 Probability and Statistics Cookbook

React JS Frontend Web Development for Beginners Learn React JS along with Modern JavaScript from absolute scratch. This course is a getting started guide for beginners.

ReactJS Interview questions https://www.educba.com/reactjs-interview-questions/ #javascript #js #reactjs ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Enjoy Learning! 👍👍 Join @coderslearning for more! ☑️

FREE RESOURCES TO LEARN MACHINE LEARNING 👇👇 Premium Machine Learning Courses for Free https://bit.ly/3Alf026 Intro to ML by MIT Free Course https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about Machine Learning for Everyone FREE BOOK https://buildmedia.readthedocs.org/media/pdf/pymbook/latest/pymbook.pdf ML Crash Course by Google https://developers.google.com/machine-learning/crash-course Advanced Machine Learning with Python Github https://github.com/PacktPublishing/Advanced-Machine-Learning-with-Python Practical Machine Learning Tools and Techniques Free Book https://vk.com/doc10903696_437487078?hash=674d2f82c486ac525b&dl=ed6dd98cd9d60a642b Machine Learning quizzes and additional resources https://t.me/datasciencefun ENJOY LEARNING 👍 Join @coderslearning for more!🙌 Share with your buddies! 🚀

Beginner's Series to: Django by Microsoft One of the most popular types of web applications to create is one to act as a front-end for a database. These applications focus on a common set of patters where you will allow users to create, retrieve, update and delete (CRUD) data. Creating CRUD applications can sometimes be tedious as large portions of the code are duplicated in your project. 🎬 24 episodes https://docs.microsoft.com/en-us/shows/beginners-series-to-django/ #django #python #microsoft ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈

​​​​​​🔰 Learn JavaScript from Scratch: The Ultimate Beginners Course 🔰 Learn Modern JavaScript Programming Fundamentals With Practical Hands Training. ⚠️ Source [Paid] : https://bit.ly/38pVNzd 🌀 Download Link [Free] : https://bit.ly/3t1lvUj ➖Join @coderslearning for more!➖ Share with your buddies!! 🚀