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zooplekochi · 16 days ago
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Automate Simple Tasks Using Python: A Beginner’s Guide
In today's fast paced digital world, time is money. Whether you're a student, a professional, or a small business owner, repetitive tasks can eat up a large portion of your day. The good news? Many of these routine jobs can be automated, saving you time, effort, and even reducing the chance of human error.
Enter Python a powerful, beginner-friendly programming language that's perfect for task automation. With its clean syntax and massive ecosystem of libraries, Python empowers users to automate just about anything from renaming files and sending emails to scraping websites and organizing data.
If you're new to programming or looking for ways to boost your productivity, this guide will walk you through how to automate simple tasks using Python.
🌟 Why Choose Python for Automation?
Before we dive into practical applications, let’s understand why Python is such a popular choice for automation:
Easy to learn: Python has simple, readable syntax, making it ideal for beginners.
Wide range of libraries: Python has a rich ecosystem of libraries tailored for different tasks like file handling, web scraping, emailing, and more.
Platform-independent: Python works across Windows, Mac, and Linux.
Strong community support: From Stack Overflow to GitHub, you’ll never be short on help.
Now, let’s explore real-world examples of how you can use Python to automate everyday tasks.
🗂 1. Automating File and Folder Management
Organizing files manually can be tiresome, especially when dealing with large amounts of data. Python’s built-in os and shutil modules allow you to automate file operations like:
Renaming files in bulk
Moving files based on type or date
Deleting unwanted files
Example: Rename multiple files in a folder
import os folder_path = 'C:/Users/YourName/Documents/Reports' for count, filename in enumerate(os.listdir(folder_path)): dst = f"report_{str(count)}.pdf" src = os.path.join(folder_path, filename) dst = os.path.join(folder_path, dst) os.rename(src, dst)
This script renames every file in the folder with a sequential number.
📧 2. Sending Emails Automatically
Python can be used to send emails with the smtplib and email libraries. Whether it’s sending reminders, reports, or newsletters, automating this process can save you significant time.
Example: Sending a basic email
import smtplib from email.message import EmailMessage msg = EmailMessage() msg.set_content("Hello, this is an automated email from Python!") msg['Subject'] = 'Automation Test' msg['From'] = '[email protected]' msg['To'] = '[email protected]' with smtplib.SMTP_SSL('smtp.gmail.com', 465) as smtp: smtp.login('[email protected]', 'yourpassword') smtp.send_message(msg)
⚠️ Note: Always secure your credentials when writing scripts consider using environment variables or secret managers.
🌐 3. Web Scraping for Data Collection
Want to extract information from websites without copying and pasting manually? Python’s requests and BeautifulSoup libraries let you scrape content from web pages with ease.
Example: Scraping news headlines
import requests from bs4 import BeautifulSoup url = 'https://www.bbc.com/news' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') for headline in soup.find_all('h3'): print(headline.text)
This basic script extracts and prints the headlines from BBC News.
📅 4. Automating Excel Tasks
If you work with Excel sheets, you’ll love openpyxl and pandas two powerful libraries that allow you to automate:
Creating spreadsheets
Sorting data
Applying formulas
Generating reports
Example: Reading and filtering Excel data
import pandas as pd df = pd.read_excel('sales_data.xlsx') high_sales = df[df['Revenue'] > 10000] print(high_sales)
This script filters sales records with revenue above 10,000.
💻 5. Scheduling Tasks
You can schedule scripts to run at specific times using Python’s schedule or APScheduler libraries. This is great for automating daily reports, reminders, or file backups.
Example: Run a function every day at 9 AM
import schedule import time def job(): print("Running scheduled task...") schedule.every().day.at("09:00").do(job) while True: schedule.run_pending() time.sleep(1)
This loop checks every second if it’s time to run the task.
🧹 6. Cleaning and Formatting Data
Cleaning data manually in Excel or Google Sheets is time-consuming. Python’s pandas makes it easy to:
Remove duplicates
Fix formatting
Convert data types
Handle missing values
Example: Clean a dataset
df = pd.read_csv('data.csv') df.drop_duplicates(inplace=True) df['Name'] = df['Name'].str.title() df.fillna(0, inplace=True) df.to_csv('cleaned_data.csv', index=False)
💬 7. Automating WhatsApp Messages (for fun or alerts)
Yes, you can even send WhatsApp messages using Python! Libraries like pywhatkit make this possible.
Example: Send a WhatsApp message
import pywhatkit pywhatkit.sendwhatmsg("+911234567890", "Hello from Python!", 15, 0)
This sends a message at 3:00 PM. It’s great for sending alerts or reminders.
🛒 8. Automating E-Commerce Price Tracking
You can use web scraping and conditionals to track price changes of products on sites like Amazon or Flipkart.
Example: Track a product’s price
url = "https://www.amazon.in/dp/B09XYZ123" headers = {"User-Agent": "Mozilla/5.0"} page = requests.get(url, headers=headers) soup = BeautifulSoup(page.content, 'html.parser') price = soup.find('span', {'class': 'a-price-whole'}).text print(f"The current price is ₹{price}")
With a few tweaks, you can send yourself alerts when prices drop.
📚 Final Thoughts
Automation is no longer a luxury it’s a necessity. With Python, you don’t need to be a coding expert to start simplifying your life. From managing files and scraping websites to sending e-mails and scheduling tasks, the possibilities are vast.
As a beginner, start small. Pick one repetitive task and try automating it. With every script you write, your confidence and productivity will grow.
Conclusion
If you're serious about mastering automation with Python, Zoople Technologies offers comprehensive, beginner-friendly Python course in Kerala. Our hands-on training approach ensures you learn by doing with real-world projects that prepare you for today’s tech-driven careers.
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simerjeet · 6 months ago
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Mastering Data Structures: A Comprehensive Course for Beginners
Data structures are one of the foundational concepts in computer science and software development. Mastering data structures is essential for anyone looking to pursue a career in programming, software engineering, or computer science. This article will explore the importance of a Data Structure Course, what it covers, and how it can help you excel in coding challenges and interviews.
1. What Is a Data Structure Course?
A Data Structure Course teaches students about the various ways data can be organized, stored, and manipulated efficiently. These structures are crucial for solving complex problems and optimizing the performance of applications. The course generally covers theoretical concepts along with practical applications using programming languages like C++, Java, or Python.
By the end of the course, students will gain proficiency in selecting the right data structure for different problem types, improving their problem-solving abilities.
2. Why Take a Data Structure Course?
Learning data structures is vital for both beginners and experienced developers. Here are some key reasons to enroll in a Data Structure Course:
a) Essential for Coding Interviews
Companies like Google, Amazon, and Facebook focus heavily on data structures in their coding interviews. A solid understanding of data structures is essential to pass these interviews successfully. Employers assess your problem-solving skills, and your knowledge of data structures can set you apart from other candidates.
b) Improves Problem-Solving Skills
With the right data structure knowledge, you can solve real-world problems more efficiently. A well-designed data structure leads to faster algorithms, which is critical when handling large datasets or working on performance-sensitive applications.
c) Boosts Programming Competency
A good grasp of data structures makes coding more intuitive. Whether you are developing an app, building a website, or working on software tools, understanding how to work with different data structures will help you write clean and efficient code.
3. Key Topics Covered in a Data Structure Course
A Data Structure Course typically spans a range of topics designed to teach students how to use and implement different structures. Below are some key topics you will encounter:
a) Arrays and Linked Lists
Arrays are one of the most basic data structures. A Data Structure Course will teach you how to use arrays for storing and accessing data in contiguous memory locations. Linked lists, on the other hand, involve nodes that hold data and pointers to the next node. Students will learn the differences, advantages, and disadvantages of both structures.
b) Stacks and Queues
Stacks and queues are fundamental data structures used to store and retrieve data in a specific order. A Data Structure Course will cover the LIFO (Last In, First Out) principle for stacks and FIFO (First In, First Out) for queues, explaining their use in various algorithms and applications like web browsers and task scheduling.
c) Trees and Graphs
Trees and graphs are hierarchical structures used in organizing data. A Data Structure Course teaches how trees, such as binary trees, binary search trees (BST), and AVL trees, are used in organizing hierarchical data. Graphs are important for representing relationships between entities, such as in social networks, and are used in algorithms like Dijkstra's and BFS/DFS.
d) Hashing
Hashing is a technique used to convert a given key into an index in an array. A Data Structure Course will cover hash tables, hash maps, and collision resolution techniques, which are crucial for fast data retrieval and manipulation.
e) Sorting and Searching Algorithms
Sorting and searching are essential operations for working with data. A Data Structure Course provides a detailed study of algorithms like quicksort, merge sort, and binary search. Understanding these algorithms and how they interact with data structures can help you optimize solutions to various problems.
4. Practical Benefits of Enrolling in a Data Structure Course
a) Hands-on Experience
A Data Structure Course typically includes plenty of coding exercises, allowing students to implement data structures and algorithms from scratch. This hands-on experience is invaluable when applying concepts to real-world problems.
b) Critical Thinking and Efficiency
Data structures are all about optimizing efficiency. By learning the most effective ways to store and manipulate data, students improve their critical thinking skills, which are essential in programming. Selecting the right data structure for a problem can drastically reduce time and space complexity.
c) Better Understanding of Memory Management
Understanding how data is stored and accessed in memory is crucial for writing efficient code. A Data Structure Course will help you gain insights into memory management, pointers, and references, which are important concepts, especially in languages like C and C++.
5. Best Programming Languages for Data Structure Courses
While many programming languages can be used to teach data structures, some are particularly well-suited due to their memory management capabilities and ease of implementation. Some popular programming languages used in Data Structure Courses include:
C++: Offers low-level memory management and is perfect for teaching data structures.
Java: Widely used for teaching object-oriented principles and offers a rich set of libraries for implementing data structures.
Python: Known for its simplicity and ease of use, Python is great for beginners, though it may not offer the same level of control over memory as C++.
6. How to Choose the Right Data Structure Course?
Selecting the right Data Structure Course depends on several factors such as your learning goals, background, and preferred learning style. Consider the following when choosing:
a) Course Content and Curriculum
Make sure the course covers the topics you are interested in and aligns with your learning objectives. A comprehensive Data Structure Course should provide a balance between theory and practical coding exercises.
b) Instructor Expertise
Look for courses taught by experienced instructors who have a solid background in computer science and software development.
c) Course Reviews and Ratings
Reviews and ratings from other students can provide valuable insights into the course’s quality and how well it prepares you for real-world applications.
7. Conclusion: Unlock Your Coding Potential with a Data Structure Course
In conclusion, a Data Structure Course is an essential investment for anyone serious about pursuing a career in software development or computer science. It equips you with the tools and skills to optimize your code, solve problems more efficiently, and excel in technical interviews. Whether you're a beginner or looking to strengthen your existing knowledge, a well-structured course can help you unlock your full coding potential.
By mastering data structures, you are not only preparing for interviews but also becoming a better programmer who can tackle complex challenges with ease.
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leetcode1 · 2 months ago
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LEETCODE PROBLEMS 1-100 . C++ SOLUTIONS
Arrays and Two Pointers   1. Two Sum – Use hashmap to find complement in one pass.   26. Remove Duplicates from Sorted Array – Use two pointers to overwrite duplicates.   27. Remove Element – Shift non-target values to front with a write pointer.   80. Remove Duplicates II – Like #26 but allow at most two duplicates.   88. Merge Sorted Array – Merge in-place from the end using two pointers.   283. Move Zeroes – Shift non-zero values forward; fill the rest with zeros.
Sliding Window   3. Longest Substring Without Repeating Characters – Use hashmap and sliding window.   76. Minimum Window Substring – Track char frequency with two maps and a moving window.
Binary Search and Sorted Arrays   33. Search in Rotated Sorted Array – Modified binary search with pivot logic.   34. Find First and Last Position of Element – Binary search for left and right bounds.   35. Search Insert Position – Standard binary search for target or insertion point.   74. Search a 2D Matrix – Binary search treating matrix as a flat array.   81. Search in Rotated Sorted Array II – Extend #33 to handle duplicates.
Subarray Sums and Prefix Logic   53. Maximum Subarray – Kadane’s algorithm to track max current sum.   121. Best Time to Buy and Sell Stock – Track min price and update max profit.
Linked Lists   2. Add Two Numbers – Traverse two lists and simulate digit-by-digit addition.   19. Remove N-th Node From End – Use two pointers with a gap of n.   21. Merge Two Sorted Lists – Recursively or iteratively merge nodes.   23. Merge k Sorted Lists – Use min heap or divide-and-conquer merges.   24. Swap Nodes in Pairs – Recursively swap adjacent nodes.   25. Reverse Nodes in k-Group – Reverse sublists of size k using recursion.   61. Rotate List – Use length and modulo to rotate and relink.   82. Remove Duplicates II – Use dummy head and skip duplicates.   83. Remove Duplicates I – Traverse and skip repeated values.   86. Partition List – Create two lists based on x and connect them.
Stack   20. Valid Parentheses – Use stack to match open and close brackets.   84. Largest Rectangle in Histogram – Use monotonic stack to calculate max area.
Binary Trees   94. Binary Tree Inorder Traversal – DFS or use stack for in-order traversal.   98. Validate Binary Search Tree – Check value ranges recursively.   100. Same Tree – Compare values and structure recursively.   101. Symmetric Tree – Recursively compare mirrored subtrees.   102. Binary Tree Level Order Traversal – Use queue for BFS.   103. Binary Tree Zigzag Level Order – Modify BFS to alternate direction.   104. Maximum Depth of Binary Tree – DFS recursion to track max depth.   105. Build Tree from Preorder and Inorder – Recursively divide arrays.   106. Build Tree from Inorder and Postorder – Reverse of #105.   110. Balanced Binary Tree – DFS checking subtree heights, return early if unbalanced.
Backtracking   17. Letter Combinations of Phone Number – Map digits to letters and recurse.   22. Generate Parentheses – Use counts of open and close to generate valid strings.   39. Combination Sum – Use DFS to explore sum paths.   40. Combination Sum II – Sort and skip duplicates during recursion.   46. Permutations – Swap elements and recurse.   47. Permutations II – Like #46 but sort and skip duplicate values.   77. Combinations – DFS to select combinations of size k.   78. Subsets – Backtrack by including or excluding elements.   90. Subsets II – Sort and skip duplicates during subset generation.
Dynamic Programming   70. Climbing Stairs – DP similar to Fibonacci sequence.   198. House Robber – Track max value including or excluding current house.
Math and Bit Manipulation   136. Single Number – XOR all values to isolate the single one.   169. Majority Element – Use Boyer-Moore voting algorithm.
Hashing and Frequency Maps   49. Group Anagrams – Sort characters and group in hashmap.   128. Longest Consecutive Sequence – Use set to expand sequences.   242. Valid Anagram – Count characters using map or array.
Matrix and Miscellaneous   11. Container With Most Water – Two pointers moving inward.   42. Trapping Rain Water – Track left and right max heights with two pointers.   54. Spiral Matrix – Traverse matrix layer by layer.   73. Set Matrix Zeroes – Use first row and column as markers.
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codezclub · 8 years ago
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C Program to implement DFS Algorithm for Connected Graph
DFS Algorithm for Connected Graph Write a C Program to implement DFS Algorithm for Connected Graph. Here’s simple Program for traversing a directed graph through Depth First Search(DFS),  visiting only those vertices that are reachable from start vertex. Depth First Search (DFS) Depth First Search (DFS) algorithm traverses a graph in a depthward motion and uses a stack to remember to get the next…
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billypeterson449 · 4 years ago
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Introduction To Recursion In C++
To begin with recursion in C++, we must first understand the fundamental concept of C++ functions, which comprises function definitions that call other functions. Also covered in this article is the concept of the recursive definition, a math and programming logic play tool. A common example is the factorial of a number, the sum of "n" natural numbers, and so on. The term "recursive function" refers to a function that calls itself. They are simply a function that is called repeatedly. Recursion offers a problem-solving tool that separates huge problems into simple tasks that are worked out separately in a sequential order.
The recursive function is used to solve problems in data structures such as searching, sorting, and tree traversal. This programming method makes it easy to write code. Iteration and recursion both repeat the code, but recursion executes a specific part of the code with the base function itself. In this article, we will go over the importance of recursion and how it works.
What Is Recursion?
Recursion is the process of a function calling itself as a subroutine to tackle a complex iterative task by breaking it down into smaller chunks. Recursive functions are those that call themselves recursively, while recursion is the process of invoking a function by itself. Recursion results in a large number of iterative calls to the same function; however, a base case is required to end the recursion.
By dividing a complex mathematical computation task into subtasks, recursion is an efficient way to solve it. Divide and Conquer is the name for this method of problem-solving. It allows programmers to break down a complex problem into smaller tasks and solve them one at a time to arrive at a final solution.
Any problem that can be solved recursively can also be solved iteratively, but recursion is the more efficient method of programming because it uses the least amount of code to accomplish the same complex task. Although recursion is not suitable for all problems, it is particularly well suited for sorting, searching, Inorder/Preorder/Postorder Tree Traversals, and DFS of Graph algorithms. Recursion, on the other hand, must be implemented with care; otherwise, if no base condition is met to terminate the function, it may result in an infinite loop.
How Recursive Functions Work In C++?
When the base case is true, recursion conducts repetition on the function calls and stops the execution. To avoid the stack overflow error message, a base case condition should be defined in the recursive code. Infinite recursion results if no base case is defined. When a function is called, it is pushed into a stack each time so that resources can be reserved for subsequent calls. It is the most effective at traversing trees. Direct and indirect recursion are two separate forms of recursion.
Direct Recursion: A direct recursive function is one that calls itself directly, and this sort of recursion is known as direct recursion.
Indirect Recursion : When a function calls itself indirectly from another function, it is referred to as indirect recursive, and this sort of recursion is referred to as indirect recursion.
Memory Allocation In Recursion:
Memory allocation for recursive functions is similar to memory allocation for other functions. A single memory block in a stack is allocated when a recursive function is called. This memory block provides the necessary memory space for the function's successful execution as well as the storage of all local, automatic, and temporary variables. It pushes a separate stack frame for each recursive call in the same way. There will be 5 stack frames corresponding to each recursive call if a recursive function is called 5 times. When the recursive call is completed, the new stack frame is discarded, and the function begins to return its value to the function in the previous stack frame. The stack is then popped out in the same order that it was pushed, and memory is deallocated. The final result value is returned at the end of the recursion, and the stack is destroyed and memory is freed up. The stack will quickly be depleted if the recursion fails to reach a base case, resulting in a Stack Overflow crash.
Advantages Of Recursion:
They create clean and compact code by simplifying a larger, more complex application.
They create clean and compact code by simplifying a larger, more complex application. 
In the computer code, there are fewer variables.
Here, nested for loops and complex code are avoided.
Backtracking is required in several parts of the code, which is solved recursively.
Disadvantages Of Recursion:
Due to the stack operation of all the function calls, it requires extra memory allocation.
When doing the iteration process, it can be a little sluggish at times. As a result, efficiency suffers.
Beginners may find it challenging to comprehend the workings of the code because it can be quite complex at times. If this happens, the software will run out of memory and crash.
Summary:
We've talked about how functions operate and defined them in a recursive manner. We've also gone over the correspondence and the benefits and drawbacks of recursive functions in programming.
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codeavailfan · 5 years ago
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Assembly Language Homework Help
Assembly Language Assignment Support . Assembly Language Homework Support
If you think assembly language is a difficult programming subject, you are not the only student who makes the subject challenging. Out of every 100 programming assignments to be submitted on our website, 40 are in the conference language. Assembly language assignment is the most sought service in support programming. We have a team of expert programmers who work only on assembly language projects. They go first through the directions of the university for the students and then start the project. They not only share the complete programming work that can be easily run but they are successfully running the screen shot of the program and share a step-by-step approach to how students can understand and implement the program.
If you are one of those students who do not have the full knowledge of concepts, it is difficult for you to complete the assembly language homework. The Programming Assignment Support website can provide you with the Executive Assembly Language homework help Solution. Before we go ahead, let's learn more about the assembly language.
What is assembly language?
Assembly language is a low-level programming language which is a correspondence between machine code and program statement. It is still widely used in academic work. Assembly is the main application of language - it is used for equipment and micro-controllers. It is a collection of languages which will be used to write machine codes for creating CPU architecture. However, there will be no required functions and variables in this language and cannot be used in all types of processors. Assembly language commands and structures are similar to machine language, but it allows the programmer to use the number with the names.
A low-level language is a language that works with computer hardware. Gradually, they forgot. These languages are still kept in the curriculum as it gives students hardware knowledge
Here are some important concepts in assembly language:
Collecter
Language Design - Opcode Memonics and Detailed Nemonics, Support for ureded programs, Assembly Instructions and Data Instructions
Operators, Parts and Labels
Machine Language Instructions
Maths and Transfer Instructions
Pageing, catch and interruptions
These are just a few topics; We will work on many other subjects in accordance with the needs of the students to assist in assembly language assignment.
Key concepts to be learned in assembly language
The following 6 important vocabularies in Assembly Languedhoes are given below
Memory address: This is where the machine will store code. If the address starts with YY00, YY represents the page number and the 00 line number.
Machine Code: It is also called the instruction code. This code will include hexadecimal numbers with instructions to store memory address.
Label: A collection of symbols to represent a particular address in a statement. The label has colons and is found whenever necessary.
Operation Code: This instruction contains two main parts. Operand and Opcodes. The opcode will indicate the function type or function to be performed by the machine code.
Operade: This program contains 8-bit and 16-bit data, port address, and memory address and register where the instructions are applied. In fact, the instruction is called by another name, namely namonic which is a mixture of both opcode and opred. Notenotes english characters which are initial to complete the work by directing. The memoric used to copy data from one place to another is mov and sub for reduction.
Comments: Although, they are not part of programming, they are actually part of the documents that describe actions taken by a group or by each directive. Comments and instructions are separated by a colon.
What is included in an assembly language assignment program?
Assembly Language homework help includes the concepts below which are used to reach a solution.
Mu Syle Syntax - Assembly Language Program can be divided into 3 types - Data Section, BSS section, Text Section
Statements - There are three types of assembly language statements - Directors, Macros and Executive Instructions These statements enter 1 statement in each line
The assembly language file is then saved as a .asm file and run the program to get the required output
What are assembly registers?
Processor operation mostly works on processing data. Registers are internal memory storage spaces that help speed up the processor's work. In IA-32, there are six 16-bit processor registers and ten 32-bit registers. Registers can be divided into three categories -
General Register
Data Register - 32-bit Data Register: EAX, EBX, ECX, EDX. X is primary collector, BX is base register, C x counter is registered and DX is data register.
Pointer Register - These are 32-bit EIP, ESP, and EBP registers. There are three types of pointers like Instruct Pointer (IP), Stack Pointer (SP) and Base Pointer (BP)
Index Register - These registers are divided into Resource Index (SI) and Destination Index (DI)
Control Register - Control Registers can be defined as a combination of 32-bit Directive Director Register and 32-bit Flags Register. Some of the bits of the famous flag are overflow flag (off), trap flag (TF), enterprise flag (IF), sign flag (SF), Disha Flag (DF), Zero Flag (ZF).
Sugar Register - These are further divided into code segments, data segments and stack sections
Assembly Language Functions
The main benefit given by assembly language is the speed on which the programmes are run. Anyone in the assembly language can write instructions five times faster than the Pascal language. Moreover, the instructions are simple and easy to interpret code and work for microprocessors. With assembly language, it is easy to modify the instructions of a program. The best part is that the symbols used in this language are easy to understand, thus leaving a lot of time left for the programs. This language will enable you to develop an interface between different pieces of code with the help of inconsistent conferences.
The lack of benefits mentioned above are different applications of assembly language. Some of the most common tasks are given below:
Assembly language is used to craft code to boot the system. Code operating system will be helpful in booting and starting system hardware before storing it in ROM
Assembly language is complete to promote working speed despite low processing power and RAM
Here are some compilers that allow you to translate the high level language into assembly language before you complete the compilation. This will allow you to see the code for the debugging and optimization process.
As you read the page, you can easily conclude that the assembly language will require complex coding. Not all students have the right knowledge of programming and therefore use the 'Programming Assignment Assistance' to complete their programme language lecture on time. If you have difficulty completing the assignment and want to get rid of the stressful process of completing the assignment on your own, the advantage of our Assembly Language Programming Services is to ensure that you get a + grade in all projects.
Assembly Language Assignment Support . Assembly Language Homework Support
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Assignment can deal with any of the following subject: Intel Processor, 6502 - 8 bit processor, 80 × 86 - 16 bit processor, 68000 - 32 bit processor, dos emulator, de-morgan theory, assembly basic syntax, assembly memory. Sections etc. Our experts ensure that they provide quality work for Assembly Language Assignment Support as they are aware of the complete syllabus and can use concepts to provide assignments in accordance with your academic needs.
Instructions are used to complete assembly language assignment. Some common instructions include EKU, ORG, DS, =, ID, ENT, IF, IFNOT, ELSE, EDF, RESET, EOG and EEDTA. These instructions instruct the collecter to work. The use of correct instructions is very important in completing the successful project. Our experts ensure that they meet global standards while completing assembly language homework. If you take the support of our programmers to the assembly language homework, you don't have to worry about the quality of the solution.
Why should you set assembly language?
Assembly language is best for writing ambedded programs
This improves your understanding of the relationship between computer hardware, programs and operating systems.
The speed required to play the computer game. If you know assembly language, you can customize the code to improve the program speed
Low-level tasks such as data encryption or bitwise manipulation can be easily done using assembly language
Real-time applications that require the right time and data can be easily run using assembly language.
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Our service is USP - we understand that you are a student and getting high ratings at affordable prices is what we have to offer programming assistance that we provide on all subjects. Our assembly language-specific support is unique in many ways. Some of them are given below:
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dashdz · 6 years ago
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Fuck Python, Pandas Again
Hi first post in a while, today I tried to load some data with pandas:
$ python -m please.do.something.reasonable Traceback (most recent call last): File "/home/dashdz/.pyenv/versions/3.7.4/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/home/dashdz/.pyenv/versions/3.7.4/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/home/dashdz/repos/some-programming-idk/please/do/something/reasonable.py", line 36, in main() File "/home/dashdz/repos/some-programming-idk/please/do/something/reasonable.py", line 20, in main df = pd.read_csv('data/pretty/normal/data.tsv') File "/home/dashdz/.pyenv/versions/please/lib/python3.7/site-packages/pandas/io/parsers.py", line 685, in parser_f return _read(filepath_or_buffer, kwds) File "/home/dashdz/.pyenv/versions/please/lib/python3.7/site-packages/pandas/io/parsers.py", line 463, in _read data = parser.read(nrows) File "/home/dashdz/.pyenv/versions/please/lib/python3.7/site-packages/pandas/io/parsers.py", line 1154, in read ret = self._engine.read(nrows) File "/home/dashdz/.pyenv/versions/please/lib/python3.7/site-packages/pandas/io/parsers.py", line 2048, in read data = self._reader.read(nrows) File "pandas/_libs/parsers.pyx", line 879, in pandas._libs.parsers.TextReader.read File "pandas/_libs/parsers.pyx", line 894, in pandas._libs.parsers.TextReader._read_low_memory File "pandas/_libs/parsers.pyx", line 948, in pandas._libs.parsers.TextReader._read_rows File "pandas/_libs/parsers.pyx", line 935, in pandas._libs.parsers.TextReader._tokenize_rows File "pandas/_libs/parsers.pyx", line 2130, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 2 fields in line 11, saw 3
But serious question for everyone:
why is normal behavior for well-oiled big mainstream python libraries to crash and vomit a huge stack trace?
I reject we cannot do better.
Here are some alternative error ideas:
$ python -m please.do.something.reasonable ERROR: Using commas (',') to parse the file, everything I've seen so far has 2 fields, such as line 10 of your file ('data/pretty/normal/data.tsv'): hi,there ... but then line 11 of that file ('data/pretty/normal/data.tsv') had 3 fields: why,hello,you this is impossible for me to recover from because of programming, so I have crashed. You've got to make sure that I know how many fields the file is gonna have upfront.
or maybe
$ python -m please.do.something.reasonable ERROR: Despite the docs saying if the separator is None, we will auto detect your delimiter, which kind of implies that maybe the default should be None, when you don't pass it, we assume commas (',') rather than try to detect it. Your file ends with '.tsv', which is kind of a dead giveaway, but whatever, I thought commas was best because then I can use C and GO REAL FAST and oops I crashed.
I mean the whole first person thing kinda creeps me out (TeX or LaTeX or WhAtEvEr does that and I never realize what it means at first), but like u get the picture.
I just don't think using the wrong delimiter and/or just having the wrong number of fields in a line is so crazy of behavior that the right answer is to vomit a stack trace.
0 notes
tracey-greene · 8 years ago
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The Summer is winding down, but the Job Market in the Hedge Fund, Private Equity, Electronic Trading, & Proprietary Trading Arenas are Heating up
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Below is a list of roles with a brief Abstract and Comp Range. 
Please feel free to share these opportunities with your friends.  
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BELOW are all the Roles - If Interested, Please email me:
Global Hedge
·         Firm Location:Mid-Town, NYC
·         About Firm:Multi-strategy investment Hedge fund. 7+ Billion assets under management
Open Positions:
·         C# . Net Developer  ( 3 -8 years exp only ) ( Comp:  150 -200 k  )
Abstract: Firm is looking to take strong Mid-level .Net C# developers that are superior developers and task them with helping to build out the firm’s full lifecycle suite of trading applications. Candidates DO NOT Need Financial firm experience. Just be extremely strong in .Net Development and be hungry to learn.
   Global Hedge
·         Firm Location:Mid-Town, NYC
·         About Firm:Multi-strategy investment Hedge fund. 4+ Billion assets under management
Open Positions:
·         Linux Engineer with Strong Network skills  ( 4-8 years exp only ) ( Comp:  150 -200 k + )
Abstract: Firm is looking for strong Linux Engineer with more than just basic Network admin skills. The platform engineering group at is responsible for every platform, great opportunity to learn tech silo’s       outside of Linux and networking as well. Great shop.
  Global Hedge
·         Firm Location:Mid-Town, NYC
·         About Firm: fund founded in 1990’s that manages approximately $32.0 billion+ in assets as of August 1, 2017. We have more than 1,200+ employees working across offices in the United States, Europe and Asia.
Open Positions:
·         WQ Aligned Infrastructure - Senior Infrastructure Engineer ( Comp: 250 – 350 k+  )
Abstract: Design and implement massively scalable, highly-performance, cutting-edge infrastructure for a compute grid. Develop  and implement software tools and methods to automate and manage large distributed systems. Python, and  experience with Ansible/CFEngine/Saltstack.       Thorough knowledge up and down the OSI stack and deep knowledge of *nix systems.
   ·         WQ Aligned Infrastructure - Senior Network Engineer ( Comp:  250 – 350 k+  )
Abstract: Design and implement massively  scalable, highly-performant network infrastructure for a compute grid. Build and maintain network fabrics through relentless automation – (eg. Ansible). Identify and pilot emerging networking technology  to enhance the business’ competitive advantages (eg. PFC, QoS, RoCE)
   ·         WQ Aligned Infrastructure - Senior Storage Engineer ( Comp: 250 – 300 k+  )
Abstract: Hands on experience with NIS, DFS and    AD concepts. Experience administering Netapp (C-mode, SnapVault etc) Experience /       knowledge / interest in of one or more distributed file/storage systems       (GFS, CEPH, GPFS, Lustre, NFS,  Bittorrent, *FS)
   ·         WQ Aligned Infrastructure - Senior Support Engineer ( Comp:  250 – 350 k+  )
Abstract: will focus on grid operations (across network, compute and storage) and help lead the creation of an operations discipline across the team. Strong Infrastructure ( Linux Knowledge )
   ·         Database Engineer ( Comp:  250 – 270 k+  )
Abstract: DBA with hands-on  experience supporting Oracle and MySQL databases. Productionizing and optimizing applications leveraging Oracle and MySQL databases, provide assistance in physical & logical database design for these database platforms. Skill in Ansible, Python and Linux shell scripting is a must
   ·         Cloud Data Engineer ( Comp: 250 – 400 k+  )
Abstract: experience designing and building data analytics platforms on cloud based infrastructure. Experience with both cloud-native data pipeline and transformation tools, such as AWS Kinesis, Redshift, Lambda, and EMR, as well as withopen source tools such as NiFi, Kafka, Flume, Hadoop, Spark, and Hive. Experience with text based analytics including basic NLP techniques  (tokenization, stemming, NER, etc.) is a strong plus.  Experience with Lucene based search engines is required with a preference for Elasticsearch.
   ·         Security Engineer ( Comp:  200 – 400 k+ )
Abstract: Security subject matter expert with hands-on experience in a wide range of security technologies, tools and  methodologies. Endpoint Detection and Response, DLP, Advance Malware Protection, Desktop encryption and Vulnerability Management. Familiarity with developing controls to secure sensitive Windows workloads hosted on Cloud platforms (IaaS and SaaS). Hands-on experience using Windows development/scripting  technologies with web protocols: XML, REST, JSON, REST. Strong knowledge of LDAP, Active Directory, SAML, SSO
   ·         Cloud DevOps Engineer ( Comp: 200 – 350 k+   )
Abstract: DevOps pipeline that  will initially be leveraged in the Data Analytics space. build a pipeline  infrastructure using all the latest AWS tools and techniques. Automating the build and management of cloud infrastructure using AWS native tools, open source tools, and third party products. Experience with tools, such as Chef, Puppet, Salt, or Ansible is desired.  Log management and monitoring tools is required, including experience with cloud native tools, such as AWS CloudWatch.
  ·         Dev Ops Engineer ( Comp: 250 – 300 k+ )
Abstract: This role entails prompt service request fulfilment, patch cable management, with an attention to detail and quality, as well as a working knowledge of Data Center Information Management (DCiM). Configuration and automation tools, such as Chef, Puppet, Ansible, or Salt. Strong coding skills in Python or Java. cloud using AWS CloudWatch, AWS CloudTrail, AWS Config, AWS Lamb
·         Data Center Specialist ( Comp: 200 – 370 k  )
Abstract: This role entails prompt service request fulfilment, patch cable management, with an attention to detail and quality, as well as a working knowledge of Data Center Information Management (DCiM).Maintain 100% accuracy of assets tracked in the firms DCiM tool. Server HW repair scheduling and coordination with the firms internal clients, infrastructure peers, and Multi-Vendor Services (MVS) partner
Quantitative proprietary trading:
·         Firm Location:Mid-Town, NYC
·         About Firm: Quantitative proprietary trading firm whose philosophy is that rigorous scientific research can uncover inefficiencies in financial markets, firm was created to develop and systematically trade model driven strategies globally. Firm currently has more than $5 billion of assets under management
Open Positions
·         Labs Engineer  ( Comp: 300 – 500 k+  )
Abstract:  Small and nimble, the R&D Labs team collaborates with every part of firm, from technology to research to business operations.  Meaningfully shape and define our long-term tech       strategy.. Orchestration (Mesos,Kubernetes, Swarm, ECS, SLURM, Nomad). Platforms (AWS, GCP, Azure,  Bluemix). Machine Learning Frameworks (TensorFlow, Theano, Caffee, Torch). IaaS and PaaS Architectures (OpenStack, OpenSwift, Cloud Foundry, Terraform). Container and Virtualization (Docker, rkt, Vagrant). Big Data Frameworks (Spark, Hadoop, Flink). Automation Skills (Puppet, Chef, Ansible, Salt)
   ·         Linux Engineer  ( Comp: 250 – 350 k  )
Abstract: Linux is truly the heart of our prod and dev environments, and the OS plays a critical role in everything we do.   We’re looking for an extraordinary Linux Engineer to join our Systems group.  Our dream candidate would have not only impressive knowledge of RHEL (the overall distribution, kernel and subsystems,   config management, virtualization, etc.), but also would be strong enough as a generalist (storage, networks, basic SDLC and project management) to be able to architect, build, and run a world-class   platform. It’s not a systems programming job,
   ·         Ops Manager  ( Comp: 250 – 350 k+   )
Abstract:  world-class Operations Manager to lead and expand the capability of our Monitoring team, which  today consists of Technical and Trading Operations.  These teams  sit at the intersection of many parts of the firm, including software development, risk, systems engineering, portfolio management, compliance, and post-trade.  The person in this role must be able to collaborate with stakeholders from all of those areas to set expectations and goals, drive improvements, and hit targeted       results.  He or she also needs a deep technical background, 
   ·         Quantitative Researcher   ( Comp: 250 – 400 k+  )
Abstract: Strong programming skills (Python, R, Matlab, C++) Firm’s Researchers work in small, nimble teams where merit and contribution, not seniority, drive the discussion. We  strive to foster an intellectually-challenging environment that  encourages collaboration and innovative ideas.  In our research-driven approach to the financial markets, our Chief Scientist oversees the group-wide research agenda, ensuring team members are working on the most critical and interesting problems, with focus on research rigor and standards.
   ·         Security Architect   ( Comp:  250 – 450 k+   )
Abstract: an expert security engineer to direct the way we develop and deploy software. Serving as subject matter expert on information security topics, you will provide technical guidance and support to a variety of large-scale projects  across the firm. Our ideal candidate is a superb communicator with broad  technical skills, excellent judgment, and information security domain  expertise.
   ·         Software Engineer   ( Comp: 250 – 320 k   )
Abstract: Trading Infrastructure Technology (C++   Focus)
   Our business depends on automated trading platforms that are fast, stable, resilient, and innovative. Create, support, and improve our fast real-time global trading engine – the automated platform on which all of our trading strategies run. Manage the codebase that runs order routing and execution, exchange connectivity, and market data. Be a partner to our research strategies, systems engineers, and business operations teams to ensure success
§  Abstract: Trading Business Technology (Java Focus) 
 Designing and engineering our next generation platform for routing and managing all of our post-trade      data is an exceptional challenge and a top business priority. Redesign, build, and evolve our post-trade technology stack for finance, fund operations, analytics, risk, and compliance. Own the selection, vetting, and integration of open-source and third-party platforms. Be a business partner to our CFO, COO, and operations teams
§  Abstract: Software Infrastructure (C++ and Python Focus)
Although we write plenty of our software completely from scratch, we also create an ever-expanding set of powerful tools, services, and common frameworks our developers can use as building blocks.   Write, manage, and evolve the core software DNA of libraries and services that our engineers use to write all of the code that runs our business: logging and discovery, orchestration, tooling, services, etc. Innovate in and improve the quality of our development environment, from source control to compilers and beyond.
§  Abstract: Research Infrastructure (C++ and Python Focus)
In order to work their magic, our research scientists and software engineers rely on a suite of bespoke tools, libraries, and applications, running in a fast and stable research grid environment. Build and manage libraries and APIs, as well as the container, distributed algorithm, grid-abstraction, and calculation frameworks used by researchers. Provide a flexible, high-performance research environment. Allow the scale, algorithmic complexity, and searing performance of our HPC grid to be accessible to a diverse set of research users and use cases
·         Threat Intelligence / Incident Response  ( Comp: 200 – 250 k+   )
  Abstract: provide expert guidance on security architecture, threat intelligence and monitoring, and incident response. You’ll also support policy compliance efforts, mitigate the risks of insider threats and information disclosure, and facilitate our understanding of cyber threats. Our ideal candidate is a hands-on generalist – with excellent judgment and strong communication skills – who is interested in contributing to all aspects of information security and risk assurance. Strong experience with designing and operating security monitoring platforms (SIEM) and intrusion detection solutions, as well as with IoCs. Demonstrated ability to coordinate and respond to security incidents using commercial and/or open source technologies. Light software development and/or practical scripting experience. Experience using and extending Splunk is a plus.
Hedge fund
·         Firm Location: Down Town, NYC
·         About Firm: Electronic trading firm that integrates a number of disciplines into order to be successful, including systems engineering,statistics, computer science, finance, and street smarts.
Open Positions
·         Information Security Analyst  ( Comp: 210 – 310 k+ )
   Abstract: Creating status reports for key security projects. Tracking cybersecurity KPI/KRI on a weekly basis and update the report in the chase cooper system dedicated to risk team at London. Create a report on KPI/KRI for the quarterly board meetings. Creating status reports for key security projects. Tracking cybersecurity KPI/KRI on a weekly basis and update the report in the chase cooper system dedicated to risk team at London. Create a report on KPI/KRI for the quarterly board meetings. One or two of the cybersecurity technical domains namely DLP, Log review and aggregation on SIEM to track Measurement Indicators (MI) – KRI and KPI,  alerts from IDS/IPS    
·         Senior HPC Engineer  ( Comp:  220 – 450 k+ )
Abstract: Senior HPC Engineer will be responsible for:Researching, testing, recommending, implementing, and maintaining large-scale, resilient, distributed systems. Designing and maintaining a  multi-petabyte distributed storage system. Optimizing resource utilization and job scheduling. Troubleshooting node-level issues, such as kernel  panics and system hangs. Hands-on ;distributed filesystems, such as, GPFS,     Lustre and object storage,HPC or cloud scheduling, such as, GridEngine,     HTCondor, SLURM, Mesos and Nomad
·         Senior Network Engineer  ( Comp:  250 – 350 k+ )
   Abstract: Taking a leading role in the design of networks for new offices       and data centers. Finding low latency solutions for existing network. high performance networks with multiple sites  (data centers and/or trading facilities. routing protocols including BGP, OSPF, MSDP and PIM.  
·         Software Developer  ( Comp:  250 – 360 k+   )
Abstract: Designing and  implementing a high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to  exchanges .  development language, including Java, Python, or Perl and shell scripts (a plus).  strong background in data  structures, algorithms, and object-oriented programming in C++
   ·         Team Manager, Cloud Services  ( Comp:  220 – 450 k+   )
Abstract: Architecting, installing and managing a large-scale research and development  environment utilizing cloud technologies and cloud-scale tools, such as Kubernetes, Docker and Object Store Collaborating with internal trading teams and external business partners to optimize compute workloads
   ·         Tech Lead, Desktop/Mobile Engineering  ( Comp:  210 – 280 k+   )
Abstract: Testing, deploying, and troubleshooting Desktop and Mobile technologies to meet architectural and security  requirements in an Open Source friendly setting. Engineering and administering the wireless infrastructure within Tower to facilitate connectivity between Enterprise end points for internal resources
   ·         Web Frontend Developer  ( Comp: 220 – 310 k+   )
Abstract: least  one of the following frameworks: React, Vue.js, AngularJS. Strong knowledge of the full web programming stack (Python/Django experience a plus). Backend development experience in Python or Go (a plus).Expertise with frontend technologies, client side Javascript and HTML based UI development. Strong knowledge of CSS and experience building responsive web designs
Electronic Trading firm
·         Firm Location: Down Town, NYC
·         About Firm: Hedge fund that uses a variety of technological methods, including artificial intelligence, machine learning, and distributed computing, for its trading strategies. 40 Billion Assets under management,  with 800+ employees
Open Positions
 ·         ALPHA CAPTURE SOFTWARE ENGINEER ( Comp:  300 – 450 k   )
Abstract: seeking a driven Web 2.0 software engineer to join our alpha-capture product team. Partnering with software engineers across the organization, you will be instrumental in building scalable, multi-server, multi-database web applications. Programming languages such as Java, Groovy, C or  C++. front-end javascript libraries like Google Closure, Twitter Bootstrap, jQuery, MooTools, or Dojo. Strong working knowledge of  current web standards including CSS3 and HTML 5.
   ·         ENGINEERING MANAGER, DISTRIBUTED STORAGE SYSTEMS ( Comp: 210 – 350 k+ )
Abstract: Our storage requirements are scaling at multiple petabytes per year across a diverse array of storage solutions including block storage, object storage, time series and key-value based systems. In this role, you will be charged with all aspects of the development, operational support, and performance of multi-petabyte tiered storage systems
   ·         NETWORK ARCHITECT ( Comp: 400 – 550 k   )
Abstract: Designing, developing and building the next generation data center, campus and colocation networks with a view  to enterprise grade security, stability, resilience, application delivery, and automation. Network capacity planning, provisioning and lifecycle management. Working directly with our users to gather ideas and requirements to build a world-class Network environment, using leading-edge techniques and tools. Developing an SDN strategy to the next level. (splunk, elk, logstash). Robust theoretical and practical experience with BGP, OSPF and MPLS VPN technologies. This is a Hands on Role
  ·         PRODUCTION ENGINEER - TRADING ( Comp: 250 – 450 k  )
Abstract: Monitoring the health of the production  trading system; diagnosing and fixing issues with intraday transactions and post-trade reconciliation; Configuring and deploying changes to the trading       system including new features and fixes; Comprehensive programming experience is required. Preferred languages would be Java, Python, C++, Scala, or any  language that compiles in the JVM. A  strong knowledge of network/connectivity and/or Linux server technologies, particularly as related to ultra-low latency design.
  ·         RELIABILITY ENGINEER ( Comp: 250 – 450 k  )
Abstract: Acting as a conduit between infrastructure and development teams, being sympathetic to the concerns and priorities of both; operational support and engineering, OpenStack private cloud; multiple large distributed software applications; support issues and improvements to our tools, processes, and software; Ability to program (structured and OO) with one or more high level languages (such as Python, Java, C/C++, Ruby, JavaScript). In-depth knowledge and experience in at least one of: host based networking, linux/unix administration,
 ·         SYSTEMS SUPPORT ENGINEER ( Comp: 120 – 250 k  )
Abstract: SSE will be exposed to multiple IT disciplines including       Windows Workstation, Windows Server, MS Exchange, Linux, switches, and telecommunications. The successful candidate will have a strong interest and background in PC Hardware, desktop operating systems, and network  functionality. The SSE is the principal owner of service requests.
·         VIRTUALIZATION ENGINEER - WINDOWS SERVER FARM ( Comp: 200 – 350 k  )
Abstract: lead architect, developing automated Hyper-V and       Bare-Metal based Windows Server builds, engineering infrastructure to       provide a highly manageable and flexible server farm that can be easily       grown, upgraded, operated, patched, and recovered.  Skilled invirtualization tool (VMWare, Hyper-V, Xen,       etc.),Windows Server 2012R2 and 2016 build and configuration, Microsoft       System Center Suite, scripting and automation using PowerShell, C#,       Ruby, Python 
   ·         WINDOWS PLATFORM ENGINEER ( Comp: 200 – 350 k )
   Abstract: Windows Platform Engineering team is a  systems team that focuses on developing automated Windows Server and  Workstation builds on bare-metal hardware as well as on Hyper-V using SCCM and SCVMM. Engineers within the team have deep and broad skillsets covering hardware, operating systems, VDI, application packaging, application virtualization, server and workstation configuration management, scripting and automation, direct and shared storage, security, networking, monitoring, device management, vulnerability  management, operating system and application patching.  
 Proprietary Trading Shop
·         Firm Location: Philadelphia  CT
·         About Firm: global quantitative trading company. It provides an integrated research, sales, and trading platform that offers research, order execution, and trading flow services with a focus on delivering trading strategies and execution services to clients in North America, Europe, and Asia. With 1000+ employees and  200+ Billion in Assets Managed
 Open Positions
·         C# Developers ( Comp: 150 – 350 k  )
Abstract: develops applications that parse market data into our       downstream trading systems.  As a member of this team, you will  work with a set of high performance libraries and utilities that handle our market data processes.  This will involve parsing market data formats and optimizing data structures
   ·         C++ Developers ( Comp: 150 – 350 k   )
Abstract: Research, design, develop and test  software components and applications in a heterogeneous technology  environment using knowledge of object oriented programming and C++/Linux. design and software development in a high-performance / high  throughput environment using C++ (preferably in a Linux environment) is required
   ·         FPGA ( Comp: 250 – 450 k   )
Abstract: vision from  concept through to production including hardware selection, FPGA  design, driver and API. Deep knowledge of TCP/IP, PCI-E protocols and x86 architecture is required, as well as experience       implementing performance optimized solutions around these.
   Hedge Fund
·         Firm Location: Greenwich, CT
·         About Firm: The firm is a strong proponent of diversification within portfolios, as well as adding strategies with low correlation to traditional asset classes as a complement to existing portfolios. 400+ Employees,  180+ Billion in Assets under management
Open Positions
·         Risk IT Professional ( heavy focus BCP-DR ) ( Comp: 1000/day c2c  )
Abstract: Firm has need for Heavy DR focus professional that has strong current experience in running DR exercises,recording said exercises, replaying exercises. As well as writing of DR, BCP, Information Security, Infrastructure Risk Plans. ( this is a long term contract and will be a single point SME for this in the hedge fund )  
   ·         Software Engineer in Research ( Comp: 200 – 390 k  )
Abstract: (Python / NumPy / Pandas)software engineers to work in our research department. Our developers are responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and implementation that  powers Fir
·         SW Infra Dev ( Comp: 200 – 390 k   )
Abstract: Software Infrastructure platform, to provide new       middleware, standards and libraries for integrating software systems       with each other. Software components are deployed in Windows and Unix platforms, and usually written in Python, Scala, Java, or C#. Working       hand in hand with System Administrators and Production Services we provide top notch service to our clients, the developers, to enable them using new technologies the most efficient and safest way possible. (RabbitMQ, Kafka, Docker, Redis, Zookeeper, Grafana, Graphite, InfluxDB, Docker, Swagger  Puppet and Ansible )
   ·         Data Visualization Developer ( Comp: 200 – 290 k  )
   Abstract: Data Visualization Engineer (Front Office) will work hand in hand with the product management teams playing  a key role in firm’s portfolio management. The two primary objectives: portfolio monitoring and client communication. (SQL with advanced analytic functions) Python (pandas, NumPy, SciPy) Experience w/ consuming & building APIs. Experience with Tableau or any other BI tool is a plus    
·         Reporting Engineer ( Comp: 200 – 290 k   )
   Abstract: The Data Reporting Developer’s day-to-day responsibilities will include importing, normalizing, sanitizing, transforming, validating, and modeling data to distill meaningful information from very large, disparate data sets to support internal  business functions, and satisfy client requests   Extensive  experience with Microsoft SQL Server & Advanced T-SQL Programming, SQL Server Reporting Services7, at least 5+ years’ experience in developing financial systems Java, AJAX.    
·         Security Engineer ( Comp:  250 – 450 k   )
   Abstract:  The  Security Engineer will maintain, design and implement firewalls, IPS, proxy, DDOS, e-commerce web application security infrastructures of the firm.The environment consists of tiered multi-core network components   interconnected using a number of point-to-point, MPLS and VPN  connections to financial services companies, market data vendors, ISPs,  remote sites and users. ( Managing Network Access Control technology, two factor authentication management system, logging and correlation engines, packet capture on servers utilizing Wireshark. Experience with VMware ESX 5.x, ESXi virtualization technology, Experience with web proxy  appliances,Experience working with endpoint security and DLP software)
·         Risk Technology Developer ( Comp: 250 – 300 k  )
   Abstract: Risk developer, will help to establish; APIs for accessing ­core     services and data sources for historic inputs to research; Research APIs to support backtesting and model  validations; Patterns for promoting     research models to official model; Historical   simulation and backtesting engines. Knowledgeable about software  engineering practices and tools in Java.Experience  with C# is a plus    
·         Senior Systems Engineer - Linux Administrator ( Comp: 200 – 300 k  )
   Abstract: Effectively managing RHEL-based Linux systems. Experience with puppet and SpaceWalk is helpful but not  required.  Familiarity       with high-performance systems would be preferred such as 10 Gb       networking, kernel stack bypass technologies, scheduler and       other kernel optimizations. Strong understanding of networking concepts (IP addressing, DHCP and DNS, NTP, multicast routing, 802.1q VLAN tagging) and diagnostic tools (tcpdump/ethtool)    
·         Algo Trading - Scala Developer ( Comp: 250 – 450 k  )
Abstract: asset algorithms trading equities, FX,  Futures and options both domestically and internationally. You will:   Design, refine, and implement Firm’s multi-asset algorithmic trading  strategies. Support the algorithmic infrastructure. Participate in every phase of the software development life cycle. Experience in network, parallel/distributed, multi-threaded programming.Experience with Bash and Python scripting
   HEDGE FUND 
·         Firm Location:Mid-town, NYC
·         About Firm:Firm operates two primary businesses: one of the world's largest alternative asset managers with more than $20 billion in assets under management; and the Securities side, one of the leading market makers in the world, trading products including equities, equity options, and interest rate swaps for retail and institutional clients. The company has more than 1400 employees. Currently 149 Billion under management
Open Positions
 Data      Engineer      ( Comp: 250 – 430      k+   )
Abstract: Data  Engineers are tasked with building next generation data analysis  platforms.  Our data analysis methods evolve on a daily basis and  we empower our engineers to make bold decisions that support       critical functions across the business. Proficiency within one or more       programming languages including C, C++, Python, R or JavaScript.       Proficiency with multiple data platforms including RDBMS, NoSQL,       MongoDB, Spark, Hadoop. Experience with some of the following areas:   Distributed Computing, Natural Language Processing, Machine Learning, Cloud Platform Development, Networking, and/or REST Service Development
   End  User Support & Technology Engineer ( Comp: 200 – 280 k+   )
Abstract: End User Support and Technology Engineers provide technical support and administration for all internal end-user software, hardware,     and connectivity. Dell desktops, ThinkPad laptops, RSA Remote     Access Tokens, BYOD, and Cisco telephony / IP Trade trading turrets.     Strong understanding of Microsoft Windows operating systems and     productivity software (Excel, Word, PowerPoint, Visio, Windows).     Experience with mobility software such as Office (13/16/365) and Windows     (7/10) and hardware platforms such as Surface Pro
 FPGA      Engineer      ( Comp: 400 K +)
Abstract: Partner with business leaders to research, design, implement and deploy FPGA solutions across Citadel’s  trading businesses.       Maximize trading system efficiency and performance to accelerate algorithmic trade signal generation and order execution. Proficiency within one or more programming languages including C, System Verilog, VHDL, or Bash.  Experience in one or more of the following areas: Hardware Architecture,  RTL Coding, Simulation, Systems Integration, Hardware Validation and   Testing, FPGA Synthesis, and Static Analysis
  Infrastructure      Operations Engineering ( Comp: 200 – 280      k+   )  
Abstract: The Infrastructure Operations team supports critical infrastructure across the firm  Understanding of  networking, including TCP/IP at layers 2 and 3 and CCNA level. Strong understanding of       Linux, RHCSA level with hands on knowledge of the CLI. Advanced Python scripting ability
    Network      Engineer      (Comp: 200 – 350 k) l>
Abstract: responsible for the design,  administration and troubleshooting of global network infrastructures in a fast paced, latency-sensitive environment. Knowledge of TCP/IP, OSPF, BGP, MSDP, PIM (SM and DM) protocols.   Experience with Cisco (Routing, L3 and L2  switching, Firewalling (FWSM, PIX and ASA) and VPN (Site-to-Site IPSec).  Experience with provisioning and maintenance of Coarse and Dense Wave Division Multiplexing (DWDM)
    Quant      Developer      ( Comp: 200 – 450 k)
Abstract: partner with Quantitative Researchers  to create and implement automated trading system software solutions that leverage sophisticated statistical techniques and technologies. programming languages, including C++, Python, and R. Experience with  some of the following areas: Distributed Computing, Natural Language  Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development
 Site Reliability Engineer ( Comp: Comp: 220 – 380      k  )
Abstract: Reliability  Engineers (SREs) are responsible for taking applications to production and  providing early support for applications in production. SRE’s will have a deep understanding of how applications function and are able to change applications for production quality. SREs are often be managed centrally, but do longer-term engagements with application teams to push applications into production or manage major refactors. Ensure the reliability, availability, and performance of applications . Monitor CDI/CD  pipelines and testing systems for applications 
WORLD LEADING HEDGE FUND
·         Firm Location: Mid-town, NYC
·         About Firm: Global investment and technology development firm with more than $42 billion in investment capital. With 1300 employees.
Open Positions
·         Application Security Engineer ( Comp:  200 – 380 k +)
Abstract: This individual will work on the development and       execution of the firm's information security program to improve the security       posture of a fast-paced, large-scale IT environment. The engineer will       collaborate with development and infrastructure teams on the security       design of new solutions, perform security reviews of new and existing       systems, and design, build, and operate innovative tools to improve       internal security operations.
  ·         Data Center Specialist (6-Month Contract) ( Comp: OPEN   )
   Abstract:  This individual will be expected to work  independently to assist in general data center operations in a variety of New York and New Jersey area co-location facilities: rack, install, and troubleshoot servers, storage, and networking equipment; and install and troubleshoot copper and fiber cables. This person must have exceptional written and oral communication skills since they will be working closely with other globally-based teams and/or vendors to identify, diagnose, and resolve issues. Attention to detail and the ability to apply knowledge to identify and resolve issues is a must, and previous data center experience is required. Familiarity with DCIM software is a plus. This candidate must also be open to  shipping and receiving as required. Working experience with desktop      support, project management,    
·         Network Engineer ( Comp:  200 – 450 k )
Abstract: An in-depth understanding of TCP/IP and LAN switching, familiarity with a wide range of network equipment (including Cisco IOS, NXOS, and ASA platforms), and advanced knowledge of routing       protocols (such as BGP and OSPF) are desired. Programming and scripting expertise is essential (preferably in Python) in order to manage a complex environment with a number of internally developed tools, as is     knowledge of relevant Cisco APIs. A familiarity with wired/wireless       802.1x environments and Cisco ISE is recommended.
  ·         Security Engineer ( Comp:  200 – 450 k )
Abstract: The engineer will collaborate with development and       infrastructure teams on the security design of new solutions, perform       security reviews of new and existing systems, and design, build, and       operate innovative tools to improve internal security operations. The       engineer will also act as first response and work with system owners to       remediate security-related incidents. Projects will span a wide range,       including application security reviews, design of source code protection       mechanisms, establishment of network demarcation points, and       investigation of security incidents. 
 ·         Senior Windows Systems Engineer ( Comp: 200 – 350 k  )
Abstract: An in-depth knowledge of core Windows technologies and strong programming and scripting ability (particularly in C# and       PowerShell), with a focus on systems automation and configuration       management, are required. A working knowledge of Linux in a  cross-platform environment is preferred, and experience designing,       developing, and supporting critical infrastructure services is essential. Additionally, some experience with automated build, deployment, and continuous integration systems, as well as configuration management tools (such as SCCM, PowerShell DSC, Puppet, Chef, Ansible, and/or       SaltStack) and virtualized infrastructure (particularly Hyper-V and       VMware), is a plus
   ·         Systems Administrator ( Comp:  200 – 300 k )
Abstract: familiarity with general systems administration and an understanding of what makes for good IT policy; experience with       phone, deskside, and remote user support; experience with hardware and software administration; experience supporting mobile devices; familiarity with a Linux or Solaris environment; experience with Python, PowerShell, and/or other scripting languages; trade floor and/or data center support     experience; familiarity with Cisco and/or Polycom communications       technology; familiarity with Active Directory. 
   ·         Systems Technician ( Comp: 140 – 160 k  )
Abstract: Primary responsibilities  include PC hardware, peripheral, and software deployments, mobile device  management, support of videoconferencing equipment, trading floor support, and occasional datacenter work.  Technicians have the opportunity to work with new technologies and state-of-the-art equipment in a collegian working environment
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codezclub · 8 years ago
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C Program for traversing a Directed Graph through DFS recursively
Traversing a Directed Graph through DFS recursively Write a C Program for traversing a Directed Graph through DFS recursively. Here’s simple C Program for traversing a Directed Graph through DFS recursively, visiting all the vertices. Depth First Search (DFS) Depth First Search (DFS) algorithm traverses a graph in a depthward motion and uses a stack to remember to get the next vertex to start a…
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codezclub · 8 years ago
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C Program for Traversing an Undirected Graph through DFS
Traversing an Undirected Graph through DFS Write a C Program for traversing an Undirected Graph through DFS. Here’s simple Program for traversing an Undirected graph through DFS, visiting all the vertices. Depth First Search (DFS) Depth First Search (DFS) algorithm traverses a graph in a depthward motion and uses a stack to remember to get the next vertex to start a search, when a dead end occurs…
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codezclub · 8 years ago
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C Program for Traversing a directed graph through DFS, showing all tree edges and predecessors of all vertices
C Program for Traversing a directed graph through DFS
Traversing a directed graph through DFS Write a C Program for Traversing a directed graph through DFS. Here’s simple Program for Traversing a directed graph through DFS, showing all tree edges and predecessors of all vertices in C Programming Language. Depth First Search (DFS) Depth First Search (DFS) algorithm traverses a graph in a depth ward motion and uses a stack to remember to get the next…
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codezclub · 8 years ago
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C Program to implement DFS Algorithm for Disconnected Graph
DFS Algorithm for Disconnected Graph Write a C Program to implement DFS Algorithm for Disconnected Graph. Here’s simple Program for traversing a directed graph through Depth First Search(DFS), visiting all the vertices from start vertex. Depth First Search (DFS) Depth First Search (DFS) algorithm traverses a graph in a depthward motion and uses a stack to remember to get the next vertex to start…
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