Fundamental Coding Interview Preparation with Python
Immerse yourself in the comprehensive world of Python programming to navigate the challenges of technical assessments at renowned tech companies. This course focuses on Python, aiming to prepare you with a solid knowledge of Python syntax, algorithms, data structures, and problem-solving strategies meticulously compiled to improve your coding aptitude. Tailored to strengthen your coding proficiency, speed, and code quality, this engaging learning journey prepares you for rigorous coding interviews and myriad programming challenges moving forward.
This learning path includes:
5 courses with bite-sized lessons and practices
23 engaging lessons in text and video formats
82 hands-on practices in our state-of-the art IDE
One-on-one guidance from Cosmo, our AI tutor
Trusted by learners working at top companies
Revising python essentials.
An introductory course to revitalize your Python knowledge. Develop competency in Python syntax, string operations, and looping techniques, setting a robust platform for tackling basic programming issues.
Applying Simple Looping in Practice
Dive into the application of basic looping techniques in real scenarios. This course will allow you to apply your Python knowledge to solve practical tasks, developing your skill in real-world applications of simple loops.
Practicing String Operations and Type Conversions
Further expand your Python abilities with a deep dive into string operations and type conversions. This course focuses on practical implementations and helps you master these two essential areas.
Mastering Implementation of Advanced Loops
Advance your programming prowess with a rigorous course on advanced looping techniques. This course aims to empower you with the ability to write complex loops, readying you for more involved coding challenges.
Python Coding Practice for Technical Interviews
Hone and reinforce your Python skills with a course dedicated to practice. This course is designed to let you apply your knowledge through solving an array of problems to solidify your learning and preparation for the General Coding Framework.
Meet Cosmo: The smartest AI guide in the universe
Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.
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Mastering Algorithms and Data Structures in Python
This course will teach students the skills needed for technical coding interviews at companies like Google. It will focus on understanding how to choose optimal algorithms and data structures for different problems, how to apply them, and how to explain their reasoning. Topics covered will include hash tables, recursion, linked lists, trees, and graphs.
Python Programming for Beginners
Kickstart your journey as a Computer Programmer with a strong foundation in one of the most popular languages in the world - Python. This beginner-friendly path provides a comprehensive understanding of Python syntax and fundamental programming concepts, paving the way for further exploration into the vast universe of coding.
JavaScript Programming for Beginners
Embark on your adventure into the programming universe with JavaScript, one of the most widely used languages in web development. This beginner-friendly path will guide you through JavaScript syntax and fundamental programming concepts, laying the groundwork for your future exploration into the vast cosmos of coding.
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Solving Problems with Solutions Requiring Sequential Processing Overview Computer programming is not just programming language syntax and using a development environment. At its core, computer programming is solving problems. We will now turn our attention to a structured methodology you can use to construct solutions for a given problem.
COMP1405/1005 - An Introduction to Computer Science and Problem Solving Fall 2011 - 4- There are also other types of programming languages such as functional programming languages and logic programming languages. According to the Tiobe index (i.e., a good site for ranking the popularity of programming languages), as of February 2011 the 10 most
I -- Catalogue Description. This course introduces the student to a broad range of heuristics for solving problems in a range of settings that are relevant to computation. Emphasis on problem-solving techniques that aid programmers and computer scientists. Heuristics for solving problems "in the small" (classical math and word problems ...
analyzing a problem and designing its solution as well as writing and maintaining a computer program is called software development. 2.1 The software engineering method for problem solving The software engineering method is a way to approach problem solving using a computer program and has the following five steps: 1.
A Famous problem, P vs NP: Background 1.Computer Scientists classify problems by how hard they are 2.One measure of how hard a problem is, is based on the behavior of the worst case runtime as a function of the input length. 3.For example, if for every length x the worst input of size x takes time x then this problem has linear runtime.
KEYWORDS: problem solving, programming, functional, imperative, cross-curricular, software engineering. 1. Introduction The original motivation behind this work was to develop material to assist a group of students in the first year of our Computer Science degree who were having difficulties across the course as a whole.
Computer Science can be summarized with two simple words: problem solving. Computer Science is the study of problems, problem-solving, and the solutions that come out of this problem-solving process. Given a problem, the goal is to develop an algorithm to solve the problem. An algorithm is a step-by-step list of instructions to solve the problem.
Example problem: Step 1 - Identify the problem that must be solved. The first step is to identify the problem that needs to be solved. In this example, the largest number in the list must be found and displayed. Step 2 - Understand what the problem presents. The problem presents a list of numbers.
Java. 2014-05-05 Walter Savitch Java: An Introduction to Problem Solving and Programming, is ideal for introductory Computer Science courses using Java, and other introductory programming courses in departments of Computer Science, Computer Engineering, CIS, MIS, IT, and Business. Students are introduced to object-oriented programming and ...
PDL: Scaffolding Problem Solving in Programming Courses Shu Lin∗ Na Meng† Dennis Kafura† Wenxin Li∗ Peking University∗ Virginia Tech† China∗ USA† [email protected],[email protected],[email protected],[email protected] ABSTRACT Programming tasks provide an opportunity for students to improve their problem-solving skills (PSS).
to apply problem solving techniques. Problem solving begins with the precise identification of the problem and ends with a complete working solution in terms of a program or software. Key steps required for solving a problem using a computer are shown in Figure 4.1 and are discussed in following subsections. 4.2.1 Analysing the problem It is ...
In more general terms, problem solving is. part of a larger process that encompasses problem determination, de-. duplication, analysis, diagnosis, repair, and other steps. 3. Other problem solving ...
Introduction. In order for students to become "computational thinkers" they need experience solving a wide range of problems and the opportunity to experiment with a variety of solution strategies. This unit begins with an introduction to the problem solving process. Students are asked to solve new problems by planning a strategy, designing ...
Thus, before attempt to write a computer program to solve a given problem. It is necessary to formulate or define the problem in a precise manner. Once the problem is defined, the steps required to solve it, must be stated clearly in the required order. 1.1 Procedure (Steps Involved in Problem Solving) A computer cannot solve a problem on its own.
Roger Davies, Director of IT, Queen Elizabeth School, and Editor, Computing At School, Tenderfoot Training Project I really enjoyed this book - it bridges the gap between the very practical, but perhaps narrow, field of computer programming with the real world problems that computer sci- entists might need to solve.
The input device is usually a keyboard where programs and data are entered into the computers. Examples of other input devices include a mouse, a pen or stylus, a touch screen, or an audio input unit. The central processing unit (CPU) is responsible for executing instructions such as arithmetic calculations,comparisons among data, and movement of data inside the system.
in Computer Science, the effectiveness of using problem-solving tutors to learn programming concepts, and the pedagogical relationship between solving problems and learning to write programs. We will also present the design and results from the evaluation of one of our tutors. 1. PROBLEM-SOLVING AND COMPUTER SCIENCE Problem-based learning ...
The problem solving course is divided into three interrelated units, each requiring about one-third of the semester. The first unit is a general introduction to computers and a study of the computer as a problem solving tool. The second unit is a study of programming (see [7] .for a discussion of the pros and cons of teaching non-majors ...
Programming for problem solving using C Notes Unit - I Computer History, Hardware, Software, Programming Languages and Algorithms: Components andfunctions of a Computer System, Concept of Hardware and Software Programming Languages: Low- level and High-level Languages, Program Design Tools: Algorithm, Flowchart, Pseudo code.
The PAAM model enhances problem-solving skills of novice programmers by providing questions related to teaching topics of the course. The questions are presented by using pseudo-code technique. Moreover, students practice problem-solving skills and problem statement requirements throughout the semester for all the exercises presented in the course.
steps taken and explorations made. Another practice that helps to develop the problem solving skills is, once we have solved a problem, to consciously reflect back on the way we went about discovering the solution. 1.2.2 Using Computer as a Problem - Solving Tool The computer is a resource - a versatile tool - that can help you solve some of the
Computer programming enhances students' problem solving by forcing students to break a problem into its component pieces and reas-semble it in a generic format that can be understood by a nonsentient entity. It promotes planning and organization skills, and it requires precision and self-discipline. Computer programming is one of the three
Immerse yourself in the comprehensive world of Python programming to navigate the challenges of technical assessments at renowned tech companies. This course focuses on Python, aiming to prepare you with a solid knowledge of Python syntax, algorithms, data structures, and problem-solving strategies meticulously compiled to improve your coding aptitude. Tailored to strengthen your coding ...