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Overview of Python Programming
Python is an interactive and high-level programming language. It was first introduced in 1980. In recent times, this programming language has become very popular and is widely used to express concepts in a few lines of code when compared to other programming languages like C++ and Java and using large classes. Moreover, this programming language has many powerful features to execute small to large projects. Learn all the features of Python in a simple, step-by-step manner through Python Programming assignment help.
Python is used by programmers to develop various applications. This dynamic language supports object-oriented programming along with functional programming paradigms. It lets programmers complete the task briskly and efficiently. Students who are learning Python in their curriculum get hindrances in the form of bugs while doing Python assignments. This is when our online Python homework help service comes into the picture to complete your difficult tasks.
The best part about this language is the syntax, which is simple and quite expressive that allows the programmers to express their concepts in shortcodes. Python is also used as a scripting language in many non-scripting contexts. With the best memory management and dynamic type system, this programming language supports imperative and functional programming. The extensive libraries in Python allow programmers to run the code in different operating systems.
According to our Python assignment help experts, Python is a simple language; but takes time for beginners to get hold of the programming concepts.
Key Features Of Python Programming
Python offers a range of prominent features. A few of these features are:
- Object-oriented: Python programming language is object-oriented and is developed with many objects that comprise data and functionality.
- Easy to interpret: When you are interpreting Python language, the programs can be directly run from the source code without the need of compilation and execution.
- Simple to learn: The simple syntax will let this language easy to perceive. The code of Python is easily understandable.
- High-level language: When writing a program in Python you do not need to pay much attention to how to manage the memory of the program.
- Extensive Library: The library available in Python is huge and is very helpful to do various tasks like writing expressions, doing unit testing, web browsers, HTML, XML, etc.
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Basics in Python Programming Language
To perceive the concepts of Python in-depth, you need to have strong knowledge of the basics. A few of the basics of this programming language include:
- Loops: There are two different types of loops available in this programming language. These include a while loop and another for a loop. The “while” loop will have a condition placed either at the start of the code or at the end and the “for” loop has a modifier, condition test as well as initializer. The elements placed in the body of for loop can or cannot be empty.
- Statements: There are two types of statements equipped with this programming language. These include ‘if then else’ and the other ‘switched’.
- Comments: The comments that are added in python are ‘’’’ and #. The ‘’’’ is used to mark the session while # is used to leave comments on a single line.
- Functions: There are two types of functions included in Python. These include - static and the other is lambda. The static function is used to cue the object that is already
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Python Data Science Libraries Used in Assignments & Homework
Following are the data science libraries that a student must know to work as a data science professional
- TensorFlow: It is one of the most important python libraries. TensorFlow library lets you do numerical calculations having around 3500 comments and a big community of contributors who can help you when you are stuck in the middle of completing the assignment on this library. TensorFlow is a framework that allows you to define and run computations that involve tensors. These are the computational objects that are partial and will produce a value. It produces graphics and cut down the errors in neural machine learning to 50 to 60 percent.
- SciPy (Scientific Python): It is an open-source Python library that is widely used in data science for doing high-level computations. It has many contributors on GitHub and can be used for extensive computations. It is considered an extension of the NumPy library. The library is user-friendly and allows you to efficiently do scientific calculations
- NumPy (Numerical Python): It is the basic package that allows you to carry out numerical calculations in python and is considered to be a powerful N-dimensional array object. The array processing packages offer muti-dimensional objects, which are known as arrays, and tools to work with. It also addresses various problems by offering you multidimensional arrays, functions, and operators that will operate efficiently in arrays. It is widely used in data analysis.
- Pandas (Python data analysis): It is part of the data science life cycle and is a popular library to be learned along with matplotlib. It is used for analyzing and cleaning the data. Pandas offer data structures, data frames that are designed to structure data. It is used for data wrangling and cleaning. ETL jobs will make use of this for transforming and storing data. It also supports CSV files as a data frame format.
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Machine Learning and Data Science Algorithms used in Python Assignment
Python is the most preferred tool to code most of the Machine Learning and Data Science algorithms. Some of the most common algorithms where Python has applications are:
- Linear Regression: It is a popular supervised machine learning algorithm that will observe the continuous features and based on these features predictions about the outcome would be made. It will come up with the relationship between independent and dependent variables by drawing a line. When this runs on a single line, it is called a simpler linear regression and when it runs on multiple variables, it is called multiple linear regression. It helps you to estimate the house cost, total sales, and total calls based on the variables you have gathered.
- Logistic Regression: It is another supervised machine learning algorithm that is widely used in python and data science to estimate the discrete values in binary. For example, true or false, yes, or no, and 0 or 1. It completely depends on a set of variables. The algorithm helps you to find out the probability of the outcome occurring by analyzing the data with the help of a logistic function or curve. This is the reason for calling it a linear regression. Logistic regression is also known as the sigmoid function that will pick the real-valued number and then maps the value between 0 and 1.
- Decision Trees: The decision tree is made by asking a lot of questions to part the data. The main purpose of using this decision tree is to partition the data at every level so that the model will have up-to-date information about the dataset. The model will pick a specific instance that traverses the decision tree by comparing various features with a conditional statement. When it goes to the left or right branch of the tree based on the result, the important features go closer to the root.
- Random Forest: Random Forest is a machine learning technique that helps you to resolve regression and classification problems. It makes use of ensemble learning as a technique to combine various classifiers to offer solutions to complicated problems. The random forest algorithm has many decision trees. The forest will predict the outcome based on the predictions that were made by the decision tree.
- Gradient boosting: It is a type of machine learning algorithm that will make predictions about the best possible next model based on the previous models, thus reducing the prediction errors. It also sets a target outcome for the next model to cut down the errors.
- Clustering: It is a group of objects where the objects in the same group will have similar properties to the objects that are categorized in the other cluster. The categorization of clusters is done based on the distance, density of data points, graphs, and statistical distributions. It is widely used in statistics, machine learning, graph analytics, image processing, and social science apps.
- Neural network: It is a collection of neurons that will take the input and collects the information from the other nodes to come up with the outcome without using any programmed rules.
- Deep learning: It is a type of machine learning and artificial intelligence that mimics human to gain knowledge. Deep learning plays a critical role in data science. It also has predictive modeling and statistics. It is highly beneficial for data scientists to collect, analyze, and interpret huge data, and process that data quickly and easily.
- Graph Theory: It is a concept that is used to study social networks, fraud patterns, power consumption patterns, influence, and virality in social media. It is widely used in clustering algorithms, especially the K-means.
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Machine Learning Assignment Help
We have a team of machine learning experts who handle every topic related to machine learning and help students in completing the assignments before the given timeline and assist them in getting good grades. Assignments on machine learning would be quite intensive due to too many concepts and you might be in a situation for help. If you feel the assignment is convoluted and puzzled, you can seek our Python machine learning assignment help.
Data Science Assignment Help
We offer you excellent data science assignment help. Our team of data science experts has real-time experience working on various data science projects. They use this experience to work on your assignments and complete them flawlessly. They help you get A+ grades with their best solutions. Our experts understand the requirements and then start work on your task. We are here to take off the burden of writing assignments from your shoulders. Submit your assignment with us now to avail Python Data Science assignment help.
Python GUI Assignment Help
We offer Python GUI help to students pursuing Python and machine learning courses. We work on various advanced and basic topics such as Tkinter, wxPython, PyQt, and JPython to develop rich interfaces on Python. We use the best GUIs for the application based on the requirements given by your professors.
Django Assignment Help
Python has the best framework called Django, in which we are experts. We develop your apps in Django based on the requirements given by the professors. We have a dedicated team who offers you help in working on Django. This framework encourages quick development and clean design. With the inbuilt features and libraries, it is easier to write smaller scripts.
Flask Assignment Help
We have a Flask expert who works on your Flask assignments and completes the task immaculately. The assignment will certainly help you secure good grades in the examination. Flask is a framework that is written in Python and does not need any special libraries or tools to work on it. Flask supports various extensions wherein you can use third-party libraries to develop apps.
Blockchain Assignment Help
It is a booming technology and students are pursuing blockchain technology courses and end up being puzzled when writing the assignment. There you go. You can seek the help of our experts to complete the task. We have a team of blockchain developers who have knowledge of working on various concepts and implementing them in real time. By entrusting us with this responsibility, we deliver quality assignments.
Natural Language Processing Assignment Help
NLP is a widely used term in artificial intelligence. If you need help in writing an NLP assignment as part of your academic task, you can seek our programming expert's help. They write clean code with enough comments that help you understand the code and excel in the areas in which you are not aware. It has various libraries that use sound or text in a human-readable or understandable form. Avail the best-in-class Python NLP assignment help from us.
Algorithms and Data Structures in Python Assignments & Homework
After learning the fundamentals of Python, you can delve in-depth into learning advanced algorithms and data structures.
Some of the advanced algorithms and data structures that you can use in Python
- Binary indexed trees: This algorithm teaches you the theory related to binary indexed trees and Fenwick tree data structure. It also helps you learn about implementing the data structure and use them in artificial intelligence and computer vision. You can also learn about LRU caches as part of the advanced python-like caches and where you use them. There are also doubly linked lists that you can use to implement caches. You will also learn about the theory behind LRU caches.
- The Splay trees: The B-trees algorithms are widely used now. These help you learn about external and internal memory. The data structures that are used in external memory. It also has trees with multiple keys and children. You will also learn about B-tree data structures. The Prefix trees and their real-world applications are taught as part of the advanced python. The autocomplete feature in tries, sorting tries, and IP routing can also be learned as part of advanced python. The ternary search trees, substring search algorithms, and topological ordering will also be learned.
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How Our Experts Can Help You With Python Assignment?
Here are a few real-world applications of Python on which most of the python assignments and homework is based:
- Web development: It is the most widely used application of Python. There are various frameworks such as Django, Flask, Bottle, and so on using which you can develop web apps. It gives enough flexibility for developers to develop apps using the frameworks with ease. There are many tools and libraries available in these frameworks to make the whole process effortless. It offers the best visualization, easy development, enhanced security, and a quicker development process.
- Machine learning and artificial intelligence: Machine learning and artificial intelligence are the two best subjects. Python will use the inbuilt libraries as well as machine learning and artificial intelligence to develop simple and readable code that is easier for anyone to understand. It also allows developers to write complex algorithms easily. There are a few inbuilt libraries and tools that allow you to enhance the AI and ML processes such as SciPy used for improving the technical computations, NumPy for data analysis, Seaborn for visualizing the data, and Keras for machine learning.
- Data science: It allows you to collect, sort, analyze and visualize data. The best functionalities available will deal with complicated mathematical calculations. The inbuilt libraries will offer enough convenience for data science professionals. A few of them include TensorFlow, Pandas, and Socket learning. These libraries are used for data pre-processing, performing complicated data analysis, and fine-tuning the data models.
- Game development: Python is also used for developing games. Many popular games such as Bridge commander, Caribbean, and so on are developed with Python. It offers a lot of functionalities and add-ons. There are also 2D and 3D gaming libraries available to develop games effortlessly.
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Students : Do My Python Assignment for Me
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- Lack of coding skills: Challenges in writing the code in Python are a common problem for many students. Many students face difficulty in perceiving the odd characters that are in the source code. Students with a lack of knowledge of writing high-level programming lines seek our Python homework help assistance.
- Tough to understand Python codes: The programmers who are writing Python assignments should know the basics of programming and have little coding skills. However, there are a few who find it hard to understand the difference between two pieces of code. Programmers who do not have knowledge of Python codes find it herculean to implement a program in Python language. Therefore, take the Python coding assistance of our experts to get the Python assignment solutions without any bugs.
- Prone to plagiarism: Undeniably, Python is a subject that takes a lot of time for students to understand and write code. Many students in the haste of finishing the assignment will copy and paste the homework from other sites. Doing this will take a toll on their grades and few colleges expel students for plagiarism.
- Do not practice regularly: To gain perfection in Python coding, the student needs to practice every day. This helps them to learn even the complicated code easily by practicing regularly. Students who are grappling with many things and do not have time to practice the task end up submitting poor assignments.
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Best Python Help Online from The Programming Assignment Help
Python, a general-purpose language was developed in 1991. This is used by programmers globally. The best part is any program can be written in a few lines and use whitespace. There are many features that are making it a class apart from other programming languages. Our Programming Assignment Help experts are well-versed with all the concepts of Python and prepare solutions with well-commented codes that help you secure A+ grades. When you lack the time or find it difficult to complete the assignment, you can seek our Python project help to reap promising results in a short time.
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Frequenly Asked Questions (FAQs) Related To Python Assignment Help
Python is high-level general-purpose language used for AI, machine learning, data analytics, web development, game development, etc. It has a simple syntax as compared to other programming languages help developers to write programs in fewer lines.
Python programming have several advantages. Some of them are :
It is easy to read, learn and write.
It has extensive support libraries
Python is open source language and has a vast community support.
Versatile, Easy to read, portable and interactive.
User level language.
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