#Python Coding Bootcamps

[dkettchen]

I have a new nemesis, her name is technical communication

coding bootcamp is going great why do you ask

[womaneng]

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🔥 Get ready to take control of your website security!

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[mygrowthcrafter]

Learn Future-Ready Skills to Lead Tomorrow’s Tech World

Get future-ready with skills that employers demand! From coding to digital strategy, My Growth Crafter’s programs prepare students for emerging tech roles with a focus on innovation, adaptability, and creativity.

[xploreitcorp5]

Does learning Java increase my salary?

1. Introduction to the Java Job Market

Java is still one of the hottest programming languages out there. Whether you're just starting or have been coding for a while, knowing Java can really help your career. A common question is: Does learning Java boost my paycheck? The answer is yes—companies really want people who know Java because it's so flexible for web, mobile, and big business apps. Key topics include Java programming, Java developers, and job roles related to it.

   Key Point: Java skills are in demand across different industries and can help increase your salary.

2. Java's Popularity and Market Demand  

Big names like Amazon, Netflix, and Google use Java because it handles large-scale apps well. So, does learning Java increase my salary? Definitely. Employers will pay a premium for those who are good at Java. Key terms include Java software development, full stack, and backend developer.

   Key Point: There’s a strong demand for Java devs, which leads to better pay and job security.

3. Java Skills and Salary Growth 

Having Java skills gives you an edge. Companies are looking for people who know frameworks like Spring Boot and tools like Maven. Will learning Java increase my salary? For sure. With the right certifications and experience, you can earn more. And signing up for a Java course in Coimbatore can really help solidify your skills.

   Key Point: Specialized Java knowledge can lead to promotions and salary increases.

4. Role of Certifications in Salary Hike

Getting a Java certification is a smart way to stand out. A lot of people choose the Java Full Stack Developer Course in Coimbatore for hands-on practice. Certifications prove your skills, and the answer to the question: Does learning Java bump up my salary? Yes.

   Key Point: Java certifications help validate your skills and can lead to better pay.

5. Java Job Roles and Their Pay Scales  

Java jobs range from junior developers to senior architects, and each level comes with higher pay. A Java training in Coimbatore can get you ready for roles like Full Stack Developer or Software Engineer. Is there a salary increase if you learn Java? Absolutely, especially for specialized roles.

   Key Point: There are many roles in Java, and each offers attractive salary packages.

6. Java vs. Other Programming Languages in Salary 

Java developers often earn more than those working with less popular languages. Unlike some newer languages, Java jobs tend to be more stable. Does learning Java mean better pay? Yes, compared to other languages, Java usually offers more consistent salaries.

   Key Point: Java's long-standing presence in the industry generally means better pay than many newer languages.

7. Full Stack Java Developer Salary Benefits  

Full Stack Java Developers are among the best paid in tech. Taking a Java Full Stack Developer Course in Coimbatore can prepare you for the job market. Will learning Java increase my salary? For sure—especially in full stack roles where you need to be skilled in both backend and frontend.

   Key Point: Full Stack Java positions offer top salaries and are in high demand.

8. Java's Role in Enterprise Applications  

Java is key for many enterprise systems. Learning enterprise-level Java can really answer the question: Does it help me earn more? Yes. A training program in Coimbatore that teaches things like Hibernate and JSP is worth considering.

   Key Point: Skills in enterprise Java can set you up for well-paying jobs.

9. Local Training Institutes and Career Impact 

Joining a local Java course in Coimbatore can boost your earnings. These programs offer hands-on projects and guidance from experts. So, does learning Java help with salary? Yes—local training can lead to quicker job growth.

   Key Point: Local Java training can speed up your skills and help with job placements.

10. Final Thoughts and Brand Mention  

In summary, does learning Java increase my salary? Yes, through certifications, full stack skills, and local training. Consider a reputable place like Xplore It Corp for training in Coimbatore, offering courses designed to meet job market needs.

   Key Point: Xplore It Corp provides practical Java courses that can help you earn more.

FAQs:  

1. Does learning Java help me earn more with no experience?  

   Yes. Even beginners can get better job offers after certified Java training.

2. What’s the average salary after a Java course in Coimbatore?  

   Freshers typically earn around ₹3-5 LPA, and pay can increase significantly after 1-2 years.

3. Is a Java Full Stack Developer Course in Coimbatore worth it? 

   Definitely. Full stack developers are in demand and usually earn 20-30% more.

4. How long before I see salary benefits after Java training?  

   Usually, you can expect to see salary increases within 6-12 months after completing the course.

5. Can I switch to Java and expect a pay increase?  

   Yes. Many people move from non-tech jobs to Java and see a boost in their salary.

[codingbrushup]

Coding Brushup for Python Beginners: 10 Fun and Easy Challenges

Python is known for its simplicity, readability, and power, making it one of the most beginner-friendly programming languages in the world. Whether you're just starting your Python programming journey or returning after a break, a structured coding brushup can help strengthen your foundational knowledge and boost your confidence.

This blog post highlights 10 fun and easy Python coding challenges designed to refresh core concepts and enhance your problem-solving skills. These challenges are not just practical exercises—they’re essential stepping stones for anyone looking to advance in Python development.

Let’s explore why coding brushup for Python is so valuable for beginners and walk through the types of challenges you should tackle.

Why Do a Coding Brushup for Python?

A coding brushup serves as a focused review that helps solidify what you’ve already learned. If you’ve taken a break from coding, just finished a Python course, or want to prepare for interviews or projects, revisiting the basics through hands-on challenges can work wonders.

Here are a few benefits of a coding brushup for Python beginners:

Reinforces Syntax and Logic: Python is known for clean syntax. Brushing up helps avoid common mistakes.

Builds Muscle Memory: The more you type and solve problems, the more intuitive Python programming becomes.

Boosts Confidence: Even easy challenges can be motivating and reinforce that you're making progress.

Prepares for Interviews: Basic Python coding questions are commonly asked in technical interviews.

Encourages a Growth Mindset: Regular practice keeps your brain in “learning mode,” which is key for long-term success.

1. Brush Up on Variables and Data Types

Every Python programming journey starts with understanding variables and data types. A coding brushup that focuses on assigning and manipulating data types like int, float, string, and bool helps form the building blocks of any program.

Challenge focus: Refresh your understanding of how Python handles data, casting between types, and using type functions.

2. Conditionals and Logic Statements

Decision-making is a crucial concept in programming. In this challenge, brush up on using if, elif, and else statements to control the flow of your Python code.

Why it matters: Practicing logic-based challenges sharpens your problem-solving mindset and enhances your decision-making ability within code.

3. Loops and Repetition

Loops like for and while are central to automation in Python programming. Brushing up on loops helps in writing efficient, repetitive code with minimal effort.

Challenge tip: Focus on simple loops that print patterns, calculate sums, or iterate over lists.

4. List and Array Operations

Lists are one of the most versatile and widely used data structures in Python coding. A good coding brushup for Python includes creating, modifying, and looping through lists.

Learning benefit: Understand slicing, appending, removing elements, and iterating through list items with ease.

5. String Manipulation

Strings appear in nearly every Python application. Brushing up on how to work with strings—concatenation, slicing, and built-in methods—is a must for every Python beginner.

Practical tip: Practice challenges involving reversing strings, finding substrings, or checking for palindromes.

6. Functions and Reusability

Functions allow for modular, reusable code. As part of your coding brushup, revisit how to define and call functions, pass arguments, and return results.

Why it's important: Functions make your Python code clean, organized, and easier to maintain.

7. Dictionaries and Key-Value Pairs

Dictionaries in Python allow you to store data in key-value pairs. For beginners, brushing up on dictionary creation, access, and iteration is both fun and rewarding.

Coding brushup focus: Try tasks that involve counting words, storing user data, or mapping values.

8. User Input and Output

Interacting with users through input() and displaying results with print() is fundamental. This type of challenge is perfect for reinforcing basic I/O operations in Python programming.

Real-world relevance: Many beginner projects involve taking input and responding with meaningful output.

9. Basic Error Handling

Even simple Python programs can crash due to unexpected input or logic errors. A coding brushup for Python should include understanding try, except, and how to handle common exceptions.

Why it matters: Handling errors makes your code more robust and user-friendly.

10. Working with Loops and Nested Logic

Combining loops and conditionals creates more powerful programs. Brush up with challenges that involve nested loops, such as generating patterns or multi-layered logic checks.

Challenge insight: These problems help deepen your logical thinking and prepare you for intermediate-level tasks.

Tips to Get the Most Out of Your Python Coding Brushup

To fully benefit from these beginner-friendly challenges, consider the following tips:

Practice Regularly: Set aside dedicated time for your coding brushup sessions.

Work Without Looking: Try solving problems without looking at previous code or online examples.

Reflect and Revise: After solving a challenge, take time to understand what you did well and what you can improve.

Document Your Learning: Keep a simple notebook or digital log to track your Python programming progress.

Stay Curious: Ask “what if” questions—what if I used a different loop? What if I changed the data type?

Why These Challenges Are Perfect for Beginners

Unlike complex algorithm problems that can intimidate newcomers, the above challenges focus on core programming principles using Python’s clean and intuitive syntax. They're short, focused, and effective, making them ideal for a quick coding brushup.

They also help reinforce the types of skills most commonly tested in entry-level roles, coding bootcamps, and university coursework. If you're serious about mastering Python programming, regular brushups like these will keep your skills fresh and growing.

Final Thoughts

Whether you're preparing for your first Python project or brushing up before a coding interview, these 10 fun and easy challenges offer the perfect opportunity to refresh and refine your knowledge. A well-structured coding brushup for Python beginners keeps you on track and helps you build the confidence needed to tackle more advanced problems in the future.

Remember, mastery comes from consistent practice, not from memorization. So embrace these challenges, enjoy the learning process, and take pride in every small improvement you make in your Python coding journey.

[naresh1technologies]

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[prepzeelearningsolutions]

Data Engineer Training & Python Coding Certification Prepzee Learning Solutions offers comprehensive Data Engineer Training and an intensive Data Engineer Bootcamp to help professionals master data pipelines and big data technologies. Our Python Coding Certification ensures hands-on learning in programming and data processing, equipping learners with industry-relevant skills. Boost your expertise with Prepzee Learning today!

[victoriousdigital]

[skillswitchacademy]

Join Our Python Coding Bootcamp at SkillSwitch!

Join SkillSwitch's Python Coding Bootcamp to explore the world of programming and advance your career! Whether you're a beginner or looking to level up your skills, our easy-to-follow program is designed just for you. Dive into the exciting realm of Python coding and become a confident programmer in no time. Join now to begin a journey of learning, collaboration, and hands-on experience.

[mtariqniaz]

The 20 Best Programming Languages to Learn in 2024

In this article, I’ll share the best programming languages in 2024. Choosing the best programming language can be tricky. Plus, when you consider that the Stack Overflow developer survey alone lists more than 40 different programming languages, there’s a lot to choose from! So, if you’re curious about the best programming language to learn, I’m here to help! Perhaps you’re interested in data, and…

[dkettchen]

this is jacob's fault and now my bootcamp mentor will have to witness the word "peanits" with his own poor eyes later smh

[getfreecourses-uk]

The Complete Data Structures and Algorithms in Python Udemy Free Course

Welcome to the Complete Data Structures and Algorithms in Python Bootcamp, the most modern, and the most complete Data Structures and Algorithms in Python course on the internet. At 40+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Python. You will see 100+ Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams! Learning Python is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.

Data Structures and Algorithms in Python

We’ll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer. After finishing this course, you will be able to: Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges. Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Data Structures and Algorithms in Python

Why this course is so special and different from any other resource available online? The Complete Data Structures and Algorithms Course in Python will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms! You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course. You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft. I cover everything you need to know about technical interview process! So whether you are interested in learning the top programming language in the world in-depth And interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you! And this is what you get by signing up today: Lifetime access to 40+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want Friendly and fast support in the course Q&A whenever you have questions or get stuck FULL money back guarantee for 30 days! Who is this course for? Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structures and Algorithms and begin interviewing in tech positions! As well as students currently studying computer science and want supplementary material on Data Structures and Algorithms and interview preparation for after graduation! As well as professional programmers who need practice for upcoming coding interviews. And finally anybody interested in learning more about data structures and algorithms or the technical interview process! This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you! The topics that are covered in this course. Section 1 – Introduction - What are Data Structures? - What is an algorithm? - Why are Data Structures and Algorithms important? - Types of Data Structures - Types of Algorithms Section 2 – Recursion - What is Recursion? - Why do we need recursion? - How Recursion works? - Recursive vs Iterative Solutions - When to use/avoid Recursion? - How to write Recursion in 3 steps? - How to find Fibonacci numbers using Recursion? Section 3 – Cracking Recursion Interview Questions - Question 1 – Sum of Digits - Question 2 – Power - Question 3 – Greatest Common Divisor - Question 4 – Decimal To Binary Section 4 – Bonus CHALLENGING Recursion Problems (Exercises) - power - factorial - productofArray - recursiveRange - fib - reverse - isPalindrome - someRecursive - flatten - captalizeFirst - nestedEvenSum - capitalizeWords - stringifyNumbers - collectStrings Section 5 – Big O Notation - Analogy and Time Complexity - Big O, Big Theta and Big Omega - Time complexity examples - Space Complexity - Drop the Constants and the non dominant terms - Add vs Multiply - How to measure the codes using Big O? - How to find time complexity for Recursive calls? - How to measure Recursive Algorithms that make multiple calls? Section 6 – Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft) - Product and Sum - Print Pairs - Print Unordered Pairs - Print Unordered Pairs 2 Arrays - Print Unordered Pairs 2 Arrays 100000 Units - Reverse - O(N)  Equivalents - Factorial Complexity - Fibonacci Complexity - Powers of 2 Section 7 – Arrays - What is an Array? - Types of Array - Arrays in Memory - Create an Array - Insertion Operation - Traversal Operation - Accessing an element of Array - Searching for an element in Array - Deleting an element from Array - Time and Space complexity of One Dimensional Array - One Dimensional Array Practice - Create Two Dimensional Array - Insertion – Two Dimensional Array - Accessing an element of Two Dimensional Array - Traversal – Two Dimensional Array - Searching for an element in Two Dimensional Array - Deletion – Two Dimensional Array - Time and Space complexity of Two Dimensional Array - When to use/avoid array Section 8 – Python Lists - What is a List? How to create it? - Accessing/Traversing a list - Update/Insert a List - Slice/ from a List - Searching for an element in a List - List Operations/Functions - Lists and strings - Common List pitfalls and ways to avoid them - Lists vs Arrays - Time and Space Complexity of List - List Interview Questions Section 9 – Cracking Array/List Interview Questions (Amazon, Facebook, Apple and Microsoft) - Question 1 – Missing Number - Question 2 – Pairs - Question 3 – Finding a number in an Array - Question 4 – Max product of two int - Question 5 – Is Unique - Question 6 – Permutation - Question 7 – Rotate Matrix Section 10 – CHALLENGING Array/List Problems (Exercises) - Middle Function - 2D Lists - Best Score - Missing Number - Duplicate Number - Pairs Section 11 – Dictionaries - What is a Dictionary? - Create a Dictionary - Dictionaries in memory - Insert /Update an element in a Dictionary - Traverse through a Dictionary - Search for an element in a Dictionary - Delete / Remove an element from a Dictionary - Dictionary Methods - Dictionary operations/ built in functions - Dictionary vs List - Time and Space Complexity of a Dictionary - Dictionary Interview Questions Section 12 – Tuples - What is a Tuple? How to create it? - Tuples in Memory / Accessing an element of Tuple - Traversing a Tuple - Search for an element in Tuple - Tuple Operations/Functions - Tuple vs List - Time and Space complexity of Tuples - Tuple Questions Section 13 – Linked List - What is a Linked List? - Linked List vs Arrays - Types of Linked List - Linked List in the Memory - Creation of Singly Linked List - Insertion in Singly Linked List in Memory - Insertion in Singly Linked List Algorithm - Insertion Method in Singly Linked List - Traversal of Singly Linked List - Search for a value in Single Linked List - Deletion of node from Singly Linked List - Deletion Method in Singly Linked List - Deletion of entire Singly Linked List - Time and Space Complexity of Singly Linked List Section 14 – Circular Singly Linked List - Creation of Circular Singly Linked List - Insertion in Circular Singly Linked List - Insertion Algorithm in Circular Singly Linked List - Insertion method in Circular Singly Linked List - Traversal of Circular Singly Linked List - Searching a node in Circular Singly Linked List - Deletion of a node from Circular Singly Linked List - Deletion Algorithm in Circular Singly Linked List - Method in Circular Singly Linked List - Deletion of entire Circular Singly Linked List - Time and Space Complexity of Circular Singly Linked List Section 15 – Doubly Linked List - Creation of Doubly Linked List - Insertion in Doubly Linked List - Insertion Algorithm in Doubly Linked List - Insertion Method in Doubly Linked List - Traversal of Doubly Linked List - Reverse Traversal of Doubly Linked List - Searching for a node in Doubly Linked List - Deletion of a node in Doubly Linked List - Deletion Algorithm in Doubly Linked List - Deletion Method in Doubly Linked List - Deletion of entire Doubly Linked List - Time and Space Complexity of Doubly Linked List Section 16 – Circular Doubly Linked List - Creation of Circular Doubly Linked List - Insertion in Circular Doubly Linked List - Insertion Algorithm in Circular Doubly Linked List - Insertion Method in Circular Doubly Linked List - Traversal of Circular Doubly Linked List - Reverse Traversal of Circular Doubly Linked List - Search for a node in Circular Doubly Linked List - Delete a node from Circular Doubly Linked List - Deletion Algorithm in Circular Doubly Linked List - Deletion Method in Circular Doubly Linked List - Entire Circular Doubly Linked List - Time and Space Complexity of Circular Doubly Linked List - Time Complexity of Linked List vs Arrays Section 17 – Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft) - Linked List Class - Question 1 – Remove Dups - Question 2 – Return Kth to Last - Question 3 – Partition - Question 4 – Sum Linked Lists - Question 5 – Intersection Section 18 – Stack - What is a Stack? - Stack Operations - Create Stack using List without size limit - Operations on Stack using List (push, pop, peek, isEmpty, ) - Create Stack with limit (pop, push, peek, isFull, isEmpty, ) - Create Stack using Linked List - Operation on Stack using Linked List (pop, push, peek, isEmpty, ) - Time and Space Complexity of Stack using Linked List - When to use/avoid Stack - Stack Quiz Section 19 – Queue - What is Queue? - Queue using Python List – no size limit - Queue using Python List – no size limit , operations (enqueue, dequeue, peek) - Circular Queue – Python List - Circular Queue – Python List, Operations (enqueue, dequeue, peek, ) - Queue – Linked List - Queue – Linked List, Operations (Create, Enqueue) - Queue – Linked List, Operations (Dequeue(), isEmpty, Peek) - Time and Space complexity of Queue using Linked List - List vs Linked List Implementation - Collections Module - Queue Module - Multiprocessing module Section 20 – Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft) - Question 1 – Three in One - Question 2 – Stack Minimum - Question 3 – Stack of Plates - Question 4 – Queue via Stacks - Question 5 – Animal Shelter Section 21 – Tree / Binary Tree - What is a Tree? - Why Tree? - Tree Terminology - How to create a basic tree in Python? - Binary Tree in The Complete Data Structures and Algorithms Course in Python - Types of Binary Tree - Binary Tree Representation - Create Binary Tree (Linked List) - PreOrder Traversal Binary Tree (Linked List) - InOrder Traversal Binary Tree (Linked List) - PostOrder Traversal Binary Tree (Linked List) - LevelOrder Traversal Binary Tree (Linked List) - Searching for a node in Binary Tree (Linked List) - Inserting a node in Binary Tree (Linked List) - Delete a node from Binary Tree (Linked List) - Delete entire Binary Tree (Linked List) - Create Binary Tree (Python List) - Insert a value Binary Tree (Python List) - Search for a node in Binary Tree (Python List) - PreOrder Traversal Binary Tree (Python List) - InOrder Traversal Binary Tree (Python List) - PostOrder Traversal Binary Tree (Python List) - Level Order Traversal Binary Tree (Python List) - Delete a node from Binary Tree (Python List) - Entire Binary Tree (Python List) - Linked List vs Python List Binary Tree Section 22 – Binary Search Tree - What is a Binary Search Tree? Why do we need it? - Create a Binary Search Tree - Insert a node to BST - Traverse BST - Search in BST - Delete a node from BST - Delete entire BST - Time and Space complexity of BST Section 23 – AVL Tree - What is an AVL Tree? - Why AVL Tree? - Common Operations on AVL Trees - Insert a node in AVL (Left Left Condition) - Insert a node in AVL (Left Right Condition) - Insert a node in AVL (Right Right Condition) - Insert a node in AVL (Right Left Condition) - Insert a node in AVL (all together) - Insert a node in AVL (method) - Delete a node from AVL (LL, LR, RR, RL) - Delete a node from AVL (all together) - Delete a node from AVL (method) - Delete entire AVL - Time and Space complexity of AVL Tree Section 24 – Binary Heap - What is Binary Heap? Why do we need it? - Common operations (Creation, Peek, sizeofheap) on Binary Heap - Insert a node in Binary Heap - Extract a node from Binary Heap - Delete entire Binary Heap - Time and space complexity of Binary Heap Section 25 – Trie - What is a Trie? Why do we need it? - Common Operations on Trie (Creation) - Insert a string in Trie - Search for a string in Trie - Delete a string from Trie - Practical use of Trie Section 26 – Hashing - What is Hashing? Why do we need it? - Hashing Terminology - Hash Functions - Types of Collision Resolution Techniques - Hash Table is Full - Pros and Cons of Resolution Techniques - Practical Use of Hashing - Hashing vs Other Data structures Section 27 – Sort Algorithms - What is Sorting? - Types of Sorting - Sorting Terminologies - Bubble Sort - Selection Sort - Insertion Sort - Bucket Sort - Merge Sort - Quick Sort - Heap Sort - Comparison of Sorting Algorithms Section 28 – Searching Algorithms - Introduction to Searching Algorithms - Linear Search - Linear Search in Python - Binary Search - Binary Search in Python - Time Complexity of Binary Search Section 29 – Graph Algorithms - What is a Graph? Why Graph? - Graph Terminology - Types of Graph - Graph Representation - Create a graph using Python - Graph traversal – BFS - BFS Traversal in Python - Graph Traversal – DFS - DFS Traversal in Python - BFS Traversal vs DFS Traversal - Topological Sort in The Complete Data Structures and Algorithms Course in Python - Topological Sort Algorithm - Topological Sort in Python - Single Source Shortest Path Problem (SSSPP) - BFS for Single Source Shortest Path Problem (SSSPP) - BFS for Single Source Shortest Path Problem (SSSPP) in Python - Why does BFS not work with weighted Graphs? - Why does DFS not work for SSSP? - Dijkstra’s Algorithm for SSSP - Dijkstra’s Algorithm in Python - Dijkstra Algorithm with negative cycle - Bellman Ford Algorithm - Bellman Ford Algorithm with negative cycle - Why does Bellman Ford run V-1 times? - Bellman Ford in Python - BFS vs Dijkstra vs Bellman Ford - All pairs shortest path problem - Dry run for All pair shortest path - Floyd Warshall Algorithm - Why Floyd Warshall? - Floyd Warshall with negative cycle, - Floyd Warshall in Python, - BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall, - Minimum Spanning Tree, - Disjoint Set, - Disjoint Set in Python, - Kruskal Algorithm, - Kruskal Algorithm in Python, - Prim’s Algorithm, - Prim’s Algorithm in Python, - Prim’s vs Kruskal Section 30 – Greedy Algorithms - What is Greedy Algorithm? - Well known Greedy Algorithms - Activity Selection Problem - Activity Selection Problem in Python - Coin Change Problem - Coin Change Problem in Python - Fractional Knapsack Problem - Fractional Knapsack Problem in Python Section 31 – Divide and Conquer Algorithms - What is a Divide and Conquer Algorithm? - Common Divide and Conquer algorithms - How to solve Fibonacci series using Divide and Conquer approach? Read the full article

[dreamdolldeveloper]

back to basics

mostly free resources to help you learn the basics that i've gathered for myself so far that i think are cool

everyday

gcfglobal - about the internet, online safety and for kids, life skills like applying for jobs, career planning, resume writing, online learning, today's skills like 3d printing, photoshop, smartphone basics, microsoft office apps, and mac friendly. they have core skills like reading, math, science, language learning - some topics are sparse so hopefully they keep adding things on. great site to start off on learning.

handsonbanking - learn about finances. after highschool, credit, banking, investing, money management, debt, goal setting, loans, cars, small businesses, military, insurance, retirement, etc.

bbc - learning for all ages. primary to adult. arts, history, science, math, reading, english, french, all the way to functional and vocational skills for adults as well, great site!

education.ket - workplace essential skills

general education

mathsgenie - GCSE revision, grade 1-9, math stages 1-14, provides more resources! completely free.

khan academy - pre-k to college, life skills, test prep (sats, mcat, etc), get ready courses, AP, partner courses like NASA, etc. so much more!

aleks - k-12 + higher ed learning program. adapts to each student.

biology4kids - learn biology

cosmos4kids - learn astronomy basics

chem4kids - learn chemistry

physics4kids - learn physics

numbernut - math basics (arithmetic, fractions and decimals, roots and exponents, prealgebra)

education.ket - primary to adult. includes highschool equivalent test prep, the core skills. they have a free resource library and they sell workbooks. they have one on work-life essentials (high demand career sectors + soft skills)

youtube channels

the organic chemistry tutor

khanacademy

crashcourse

tabletclassmath

2minmaths

kevinmathscience

professor leonard

greenemath

mathantics

3blue1brown

literacy

readworks - reading comprehension, build background knowledge, grow your vocabulary, strengthen strategic reading

chompchomp - grammar knowledge

tutors

not the "free resource" part of this post but sometimes we forget we can be tutored especially as an adult. just because we don't have formal education does not mean we can't get 1:1 teaching! please do you research and don't be afraid to try out different tutors. and remember you're not dumb just because someone's teaching style doesn't match up with your learning style.

cambridge coaching - medical school, mba and business, law school, graduate, college academics, high school and college process, middle school and high school admissions

preply - language tutoring. affordable!

revolutionprep - math, science, english, history, computer science (ap, html/css, java, python c++), foreign languages (german, korean, french, italian, spanish, japanese, chinese, esl)

varsity tutors - k-5 subjects, ap, test prep, languages, math, science & engineering, coding, homeschool, college essays, essay editing, etc

chegg - biology, business, engineering/computer science, math, homework help, textbook support, rent and buying books

learn to be - k-12 subjects

for languages

lingq - app. created by steve kaufmann, a polygot (fluent in 20+ languages) an amazing language learning platform that compiles content in 20+ languages like podcasts, graded readers, story times, vlogs, radio, books, the feature to put in your own books! immersion, comprehensible input.

flexiclasses - option to study abroad, resources to learn, mandarin, cantonese, japanese, vietnamese, korean, italian, russian, taiwanese hokkien, shanghainese.

fluentin3months - bootcamp, consultation available, languages: spanish, french, korean, german, chinese, japanese, russian, italian.

fluenz - spanish immersion both online and in person - intensive.

pimsleur - not tutoring** online learning using apps and their method. up to 50 languages, free trial available.

incase time has passed since i last posted this, check on the original post (not the reblogs) to see if i updated link or added new resources. i think i want to add laguage resources at some point too but until then, happy learning!!

[codingbrushup]

8 Advantages of Choosing Coding Brushup for Java Programming Success

In the world of software development, Java continues to reign as one of the most in-demand programming languages. It powers everything from enterprise-level applications to Android development, making it an essential skill for aspiring developers. But to truly master Java and make yourself industry-ready, you need more than just YouTube videos and outdated tutorials. That’s where Coding Brushup comes into play.

Whether you're just beginning your coding journey or looking to upgrade your current skill set, Coding Brushup for Java programming offers a comprehensive and career-focused learning experience. Let’s explore the 8 key advantages of choosing this platform for your Java training—and why it’s trusted by thousands of learners across India and beyond.

1. Expert-Led Instruction by Industry Professionals

The backbone of any great training program is its instructors. At Coding Brushup for Java, you’ll be learning from professionals who have hands-on experience in real-world software development. These mentors aren’t just academically sound—they work or have worked with top tech companies and bring a wealth of industry insights into the classroom.

2. Industry-Relevant Curriculum and Java Frameworks

Coding Brushup’s Java curriculum is built to match current tech industry demands. Rather than sticking to just theory, the course takes you from the basics of Java syntax to advanced topics such as:

Object-Oriented Programming (OOP)

Collections and Multithreading

JDBC, Servlets, and JSP

Spring, Spring Boot, and Hibernate

RESTful API development

Deployment on AWS or other cloud platforms

3. Real-World Projects and Portfolio Development

When recruiters look at candidates, they’re not just checking for certifications—they want to see what you’ve built. Coding Brushup for Java places a strong emphasis on hands-on learning through:

Mini-projects after each module

Capstone projects based on real-world scenarios

Live coding sessions and hackathons

4. Career-Oriented Java Bootcamp Format

If you're serious about accelerating your career, the Java Bootcamp at Coding Brushup is tailor-made for you. Designed as an intensive 12–16 week program, it includes:

Full-time or part-time schedules

Structured curriculum with weekly goals

Regular assessments and mentor feedback

Dedicated career coaching

This bootcamp approach is ideal for students, career switchers, or working professionals aiming to break into the software industry quickly.

5. Full Stack Developer Pathway with Java Backend

One of the best things about Coding Brushup for Java is how seamlessly it integrates into their Full Stack Developer program. If you're looking to become a versatile developer, this track teaches:

Frontend: HTML, CSS, JavaScript, React/Angular

Backend: Java with Spring Boot and MySQL

Tools: Git, Docker, Jenkins, CI/CD pipelines

This combination gives you end-to-end knowledge of building scalable web applications, making you a full-stack expert—a profile highly sought after by tech recruiters.

6. Python and Cross-Language Skill Development

Beyond Java, Coding Brushup for Python is another high-quality offering. Whether you're diving into data science, backend development, or automation, Python is an essential tool—and Coding Brushup ensures you're well-equipped.

The Python course includes:

Python basics and OOP

Data structures and algorithms

Django and Flask frameworks

Intro to data analysis and machine learning basics

7. Placement Assistance and Career Support

A key reason why Coding Brushup is considered the best institute for Java programming is their 100% placement assistance. Here’s what you can expect:

Resume building and LinkedIn optimization

1-on-1 interview prep and mock technical interviews

Access to a network of hiring partners and startups

Internship opportunities and job referrals

With a dedicated placement team, Coding Brushup helps bridge the gap between learning and employment, making your transition into the IT industry smoother.

8. Flexible Learning Options and Affordable Pricing

Coding Brushup for Java is accessible to everyone—thanks to its flexible learning models and budget-friendly pricing. Choose the format that fits your lifestyle:

Live online classes with mentor interaction

In-person classroom training in selected cities

Self-paced video courses for convenience

Tuition is competitively priced, with EMI options, scholarships, and free trial classes available. It’s a smart investment in your future with a high ROI, especially when compared to more expensive coding bootcamps.

Conclusion:-

Whether you’re aiming to become a backend developer, a full-stack engineer, or even expand into Python and automation, Coding Brushup is your trusted learning partner. With expert mentorship, real-world projects, flexible learning options, and strong career support, it’s easy to see why so many learners choose Coding Brushup for Java programming.

Plus, if you're exploring broader paths, the Coding Brushup for Full Stack Developer and Python bootcamp programs provide everything you need to become a well-rounded developer in today’s competitive tech market.

[tearsinthemist]

Want to learn something new

Want to learn something new in 2022??

Absolute beginner adult ballet series (fabulous beginning teacher)

40 piano lessons for beginners (some of the best explanations for piano I’ve ever seen)

Excellent basic crochet video series

Basic knitting (probably the best how to knit video out there)

Pre-Free Figure Skate Levels A-D guides and practice activities (each video builds up with exercises to the actual moves!)

How to draw character faces video (very funny, surprisingly instructive?)

Another drawing character faces video

Literally my favorite art pose hack

Tutorial of how to make a whole ass Stardew Valley esque farming game in Gamemaker Studios 2??

Introduction to flying small aircrafts

French/Dutch/Fishtail braiding

Playing the guitar for beginners (well paced and excellent instructor)

Playing the violin for beginners (really good practical tips mixed in)

Color theory in digital art (not of the children’s hospital variety)

Retake classes you hated but now there’s zero stakes:

Calculus 1 (full semester class)

Learn basic statistics (free textbook)

Introduction to college physics (free textbook)

Introduction to accounting (free textbook)

Learn a language:

Ancient Greek

Latin

Spanish

German

Japanese (grammar guide) (for dummies)

French

Russian (pretty good cyrillic guide!)

Jan 2, 2023

Want to learn something new in 2023??

Cooking with flavor bootcamp (used what I learned in this a LOT this year)

Beekeeping 101

Learn Interior Design from the British Academy of Interior Design (free to audit course - just choose the free option when you register)

Video on learning to read music that actually helped me??

How to use and sew with a sewing machine

How to ride a bike (listen. some of us never learned, and that's okay.)

How to cornrow-braid hair (I have it on good authority that this video is a godsend for doing your baby niece's black hair)

Making mead at home (I actually did this last summer and it was SO good)

How to garden

Basics of snowboarding (proceed with caution)

How to draw for people who (think they) suck at art (I know this website looks like a 2003 monstrosity, but the tutorials are excellent)

Pixel art for beginners so you can make the next great indie game

Go (back) to school

Introduction to Astronomy (high school course - free textbook w/ practice problems)

Principals of Economics (high school course - free textbook w/ practice problems)

Introduction to philosophy (free college course)

Computer science basics (full-semester Harvard course free online)

Learn a language

Japanese for Dummies (link fix from 2022)

Ukrainian

Portuguese (Brazil)

American Sign Language (as somebody who works with Deaf people professionally, I also strongly advise you to read up on Deaf/HoH culture and history!)

Chinese (Mandarin, Simplified)

Quenya (LOTR fantasy elf language)

Dec 26, 2023

Want to learn something new in 2024??

Beginner-oriented video on how to sail

This guy has so many videos on baking different types of bread. SO very many.

Coding in Python - one of the most flexible and adaptable high-level programming languages out there - explained through projects making video games

Learn to swim! (for adult learners. I don’t care if you live in Kansas or Mali or wherever. LEARN TO SWIM.)

Learn how quantum mechanics works. Then read some more about it

[Learn about quantum mechanics again, but in a more advanced engineering/mathematics class. Then read more about the math and physics of it]

Poetry Handbook, by Mary Oliver

Something I learned this year: how to sew a quilt (Here’s a very easy beginning pattern that looks amazing and can be done with pre-cut fabric!)

How to hit the ball in softball

Tutorial video on what is under the hood of most (gas) cars + weird engine sounds and what they mean

Full beginner mechanics technical training, if you want to go more in depth

Playlist on how car engine physics work if you want to go ultra in depth

Lecture series on architecture design through study of buildings

How (American income) taxes & tax law work (choose “audit course” at checkout for free class)

Pickleball for beginners (so you can finally join your neighbor/friend/distant cousin who is always insisting you join their team)

+ Para-Pickleball for beginners (for mobility aid users!)

School is so much more fun when there’s no tests:

American Law - Contracts

Shakespeare’s Life and Plays

Fairy Tales: Meanings, Messages, and Morals

Modern Poetry

World History [Part 1, Part 2]

Learn a language:

Arabic + Resource Guide compiled from Reddit (includes info on different dialects)

Chinese (Cantonese) (audio)

Urdu (frequently recommended course on Reddit) + Resource Guide

Yucatec Maya