Table Of Contents
  • Python Assignment Help
  • Python Programming Tutor
  • Python Live Chat
  • Python Code Homework Help
  • Hashmaps as a Built-in Feature in Python
  • Data visualization
  • Pandas data frames
  • Numpy

Python Assignment Help

Python is one of the fastest-growing programming languages and is widely used as an introductory programming language. The main drawback of Python is in execution speed as it is significantly slower but much faster to write a program in Python so it can be quicker if you are running the program once (or a few times, while debugging it). Our Python code homework help service can write optimized programs that run efficiently by using NumPy and other libraries. If you need help with Python homework, use one of Python’s extensive library, used for a wide range of applications in a variety of fields. For example:
  • Astropy allows you to perform astronomical calculations
  • Django is a batteries-included web server,
  • Matplotlib to generate a wide range of graphs,
  • Numpy handles arrays as a single unit, so it runs much faster.
Python Assignment Help
If you need Python homework help online but can’t find a solution yourself, then contact us for a quote and get cheap python assignment help.
There are a few different versions of Python used in assignments, Python 2.7, which is an older version and has some differences between the current versions, which are Python 3+. Python 2.7 handles files, strings, the print statement, and divide differently than Python 3+ and so it is essential to mention which version of Python you are supposed to use in the assignment.
JES is based on Python 2.7 and is written in Java and has a UI, designed for students, still used in a few different Universities. New features are being added to Python all the time, 3.5 added the ability to specify the types in the function signatures, 3.6 added f strings which aid in formatting the text.
So if you have to use a specific version, please ensure that you inform us when you contact our python homework assignment help service to ensure that you get the results as quickly as possible to avoid any delay in the outcome. The other main version of Python in Ipython notebook, which runs in the web browser and is ideal if you need computer programming Python help.

Python Programming Tutor

Python Programming Tutor
Introductory classes in Python will start with functions and simple variables. These types of assignments are quite simple and can be done in 30 minutes, so affordable. You need to get familiar with lists and dictionaries, which are easy to use, although there are a few wrinkles with dictionaries. Defining classes helps you refer to related functions and data, and introduced after you have covered the basics. Python has facilities for handling files, with the ability to load JSON, CSV, and text files built into the language (or in the standard library). Many assignments require you to load files (and possibly save them), and we provide the best python assignment helper to help you in this area (files that are not in ASCII may need some additional options, and we can handle those).
Python is a hybrid language; it can operate as a simple scripting language, and also provides a full object-orientated programming language, and offers some functional programming features (with a map, filter, and sum). Although it is a language that is suitable for beginners, it has features that make it adequate for advanced programming with generators, and decorators being chief among them.
Generators enable you to simplify many tasks and are not present in Java or C++ (They can be emulated but with less clear code). We have some using decorators that make writing a CLI application incredibly easy (you can find the code for that on the site along with an explanatory video), so if you need python homework help with advanced features, we can offer a comprehensive solution.
Operator overloading allows you to handle data types in a very natural way. For example, containers can provide “in” to check if a value contained in the container and “[]” is used to access an element, and numeric types can use the basic mathematical operators. You can check with our Python homework helpers for more tips and tricks.

Python Live Chat

If you’re looking for guidance in your python assignment, then how about you pay someone to do Python homework. We know Python used in a range of assignments due to its flexibility but some of the ones we have completed previously include playing card games such as Blackjack or Poker (with an AI opponent) and games of Connect 4, identifying the meaning of words using word vectors, plotting the rates of Covid-19 infection, and many others. One recent request at our Python coding platform was for decoding an encoded message using a Vigenère cipher, which solved the problem in a very efficient manner. If you are looking for a live chat for help with python coding, we can complete assignments on schedule, or you can check our cheap python assignment help forum for more hints.
Python Live Chat

Python Code Homework Help

Python Code Homework Help
So if you need help with Python homework, we can provide a solution, including real-time solutions (you need to send photos as the questions are displayed, and we will send back the answers in the time allotted). If you are looking for someone to “do my Python homework,” please contact us beforehand to schedule the time slot so we can ensure that we have someone on hand who is not working on anything else and can concentrate on your exam paper. We have people who are experts at providing Python programming homework help and can deal with complicated Python programs. Thus, when you are ready to pay someone to do Python homework, you can rest assured that we can manage it.

Hashmaps as a Built-in Feature in Python

The Python programming language is a scripting language and does not need to be compiled before executing it. It offers very good support for object-orientated programming, but also allows you to write code in a functional manner. You can use hashmaps as a built-in feature of the language rather than as a library routine, and like C++ it also supports operator overloading. One feature that is unique to Python is the support of generators as a first-class feature. You write a routine and use yield instead of return, allowing it to return multiple values. Python also has decorators that allow you to call a method each time a method is called, so you can use it for logging or a wide variety of uses. Python has a great library of modules that can easily be installed and provide the ability to deal with a large variety of problem domains.

Data visualization

Data visualization enables scientists to better perceive the data and more intuitively convey the information expressed by it. Data visualization in Python is commonly done using two libraries dedicated to Python visualization, Matplotlib, and Seaborn.
Matplotlib: Python-based plotting library, providing full 2D support and partial 3D image support, especially when generating high-quality data in a cross-platform and interactive environment, it can be very useful. Matplotlib is also useful for creating animations.
Seaborn: Python library able of creating informative and impressive statistical graphs. Based on matplotlib, Seaborn has a variety of features, such as built-in themes, palettes, can visualize univariate data, bivariate data, linear regression and matrix data, and statistical time-series data, which allows the creating of complex visualization graphs.
In the following example, we will represent an asymmetrical violin chart using seaborn for the "tips" dataset.
Data visualisation

Pandas data frames

Pandas is a data analysis library, containing the data structure required to convert the primary data into a form that is suitable for analysis. It was originally designed to process financial data. Pandas objects are strongly based on Numpy objects. Basically, Pandas extends Numpy. Pandas library takes the Numpy array and provides a labeled index on it.
The basic data structure of pandas is called DataFrame, it can be defined as labeled two-dimensional data structures with columns of various potential types. DataFrames of Pandas consists of three key constituents: the data, the index, and the columns, where a single row represents a case (example), and the columns represent specific attributes.
In addition to creating empty DataFrames, it is also possible to convert other data structures, including lists and Numpy tables to Pandas DataFrames.
In the following example, we will show one of the several functions that can be performed using pandas DataFrames. "Stacking" converts the DataFrame into a multi-tiered index, i.e., it compresses the columns into multiple index rows.
The example shown below illustrates how Stacking a DataFrame is done.
Pandas dataframes

Numpy

NumPy (Numerical Python) is a Python open-source library for computing numerical data. The library carries out a large number of mathematical operations on arrays.
Raw input data can be transformed into arrays of numbers for processing. Hence, fast, rugged, and highly accurate calculations on arrays are required to perform efficient operations on data. Numpy arrays are significantly more rapid and compact than basic Python lists, using considerably less memory for data storage, which optimizes code complexity.
The NumPy library is an extension of Numic and Numarray and includes a vast range of mathematical, transformation, and algebraic functions and calculations.
An early step in data pre-processing is the filtering of NaN values. The Numpy library provides this function.
Let's understand with an example, this example uses ~ (complement operator) to filter NaNs :
Numpy

besides the wide range of operations that can be done using NumPy, it is 100 times faster than a list implementation
Numerical Python

Computation in Python

This assignment seeks to solve the optimal investment pattern in an experiment in which the players’ goal is to enjoy life. Each player will have multiple lifetimes and in each lifetime, he/she will go through multiple periods where he/she earnsmoney and makeshis/her own decisions based on that money. At the beginning of each period, each player will harvest resources for money and the amount harvested will be proportional to the player’s health. The maximum number of health units that each player can have is 100. Each player will have 70 health units at the beginning of each lifetime. After every harvesting period, each player’s health will degenerate. Players can improve their health by spending the income gained from harvesting. Any income that is not spent will be carried forward to the next period. If the player’s health goes below 0, he dies and if this happens, he/she doesn’t receive any life enjoyment for the rest of the periods. The player’s goal is to enjoy life as much as possible across all periods. You are required to write a genetic algorithm that computes the optimal investment pattern of each player.

Intercept Packets and Reflecting them to the Sender

The program allows to redirect packets back to the sender after modifying them, to avoid them attacking your computer. It can use scapy to read the packets and to send them. It needs to use ARP (Address Resolution Protocol) to impersonate a host. The program sends the packets back to the same port that the user is sending them from, so if they are port scanning you, then they will be port scanned themselves. It handles TCP and UDP packets.

Calculate Risk of Loan Defaults Based on Previous History

The program allows to redirect packets back to the sender after modifying them, to avoid them attacking your computer. It can use scapy to read the packets and to send them. It needs to use ARP (Address Resolution Protocol) to impersonate a host. The program sends the packets back to the same port that the user is sending them from, so if they are port scanning you, then they will be port scanned themselves. It handles TCP and UDP packets.

Process scheduler in Python

This process scheduler written in python needs implementing a few strategies for running processes (simulation only). It supports FCFS (first come first serve), SJF (shortest job first), as well as another one.

Implement TLS/SSL in Python

The Python program implements SSL encryption (without using the standard libraries). It manually implements Diffie-Hellman to exchange the key. It should read and write to text files to simulate the handshake, and use Diffie-Helman to generate the key which is used in AES. It encrypts the file "data.txt".

Recursive problems in Python

Cut rectangle into multiple right angled triangles. It takes the number of triangles to cut it into and the size of the rectangle. There should be an iterative and recursive version. A function to calculate how much weight a human pyramid needs to support. With 3 people, the 2 people on the bottom level have to support 1 person between them, so 150 / 2 (assuming 150 lb per person). On the third level, you are supporting 450 pounds, over 3 people. Using memoization to avoid having to calculate the weights for the previous levels.