Coders Learning

A Practical Introduction to Python Programmingby Richard L. Halterman by Brian Heinold Department of Mathematics and Computer Science Mount St. Mary’s University 📄 263 pages 🔗 Book link #python ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @coderslearning for more!!

Advanced Backend Web Development 💻🧠💡 Here will look at the basics of Coffeescript, a quick and powerful way to write Javascript. 52min of on-demand video Created by RefactorU LLC In English • What you'll learn? - Course Goal: Learn how to improve development productivity with task runners and preprocessors - Use Sockets for real-time client-server communication - Use CoffeeScript to improve writing JavaScript - Automate multiple tasks using Grunt 🔗Link to Course #js #javascript #backend ➖➖➖➖➖➖➖➖➖➖ Join @coderslearning for more!! Share with your friends! 🚀

Django For Everybody - Full Python University Course 🔗 Course link #python #django #webdeveloper ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @coderslearning for more!! Share with your friends! 🚀

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 🔗 Link to Course #python #beginners ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your friends! 🚀

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 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your friends! 🚀

Fundamentals of Programming by Richard L. Halterman July 11, 2019 📄 785 pages 🔗 Book link #cpp ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @coderslearning for more!! Share with your friends! 🚀

Computer Science 61B, 002 - Spring 2015 Data structures by UC Berkeley 👨‍🏫 Teacher: Joshua A. Hug 🎬 37 video lessons ⏰ 35 hours ✅ Free 🔗 Course link #datastructures #algorithms #cs #dsa ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @coderslearning for more👈 Share with your friends! 🚀

ASP.NET Core Developer Roadmap in 2021 🚀 Github Repository:

🔰 Learn C# By Building Applications 🔰 Learn C# 6 And C# 7 By Understanding The Core Concepts And Using Them To Build Real World .NET Console Applications. ⚠️ Source [Paid] 🌀 Download Link [Free]

Top Programming Interview Questions and Answers (General) Question: Please explain what you understand by computer programming. Answer: Also known as coding or programming, computer programming is the process of encoding an algorithm into a notation, typically a computer program, by means of some programming language so that it can be executed by a computer. Each programming language contains a set of instructions for the computer to execute a set of tasks. Programming is a complex process that includes designing an algorithm, coding the same in a programming language, debugging a program, maintaining, and updating the code. Question: Can you enumerate and explain the various types of errors that can occur during the execution of a computer program? Answer: Three types of errors can occur during the execution of a computer program. These are: Logical errors – This occurs in the scenario of a computer program implementing the wrong logic. As there is no report generated for these types of programming errors, they are the most difficult ones to deal with. Runtime errors – Occurs when the program contains an illegal operation. For example, dividing a number by 0. These are the only errors that are displayed instantly during the program execution. Upon the occurrence of a runtime error, the program execution is stopped and a diagnostic message is displayed. Syntax errors – Occurs when one or more grammatical rules of the programming language being used is violated. Such errors are detected during compile time. Question: Please explain an algorithm. What are some of its important features? Answer: An algorithm can be defined as a set of finite steps that when followed helps in accomplishing a particular task. Important features of an algorithm are clarity, efficiency, and finiteness. Question: What do you understand by maintaining and updating a computer program? Answer: The maintenance and updating process of a computer program starts post its successful installation. While program maintenance is the continuous process of monitoring the computer program for bugs and errors, updating the computer program means making it better with minor and major changes over time. Question: Please provide a brief explanation on variables. Answer: Variables are used for storing the input of a program as well as the computational results during program execution. These are actually named memory locations. The value stored in a variable can change during the program execution.

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.