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Python is a popular high-level, interpreted programming language, known for its simplicity, readability, and versatility. It was created by Guido van Rossum and first released in 1991. Since then, it has evolved into one of the most widely used programming languages in the world.
Python has a large and active community of developers, contributing to its growth and leading to a vast ecosystem of third-party libraries, frameworks, and tools. The extensive standard library provides modules for various tasks, making Python suitable for a wide range of applications, such as web development, data science, data analysis, artificial intelligence, automation, scientific computing, and more.
Readable and Expressive Syntax: Python code is designed to be easy to read and understand, with a focus on human readability. The use of whitespace indentation instead of curly braces enhances the code’s visual structure.
Interpreted Language: Python code is executed line by line by the Python interpreter, allowing for quick development and debugging. It is not compiled into machine code like languages such as C++ or Java.
Dynamic Typing: Python is dynamically typed, meaning you don’t need to declare variable types explicitly. The type of a variable is determined at runtime based on the value assigned to it.
Multi-paradigm: Python supports multiple programming paradigms, including object-oriented, imperative, and functional programming styles, providing flexibility in coding approaches.
Large Standard Library: Python comes with an extensive standard library that includes modules and packages for various tasks, making it suitable for a wide range of applications out-of-the-box.
Community and Ecosystem: Python has a thriving community of developers who actively contribute to its growth. This has led to the creation of a vast ecosystem of third-party libraries and frameworks that extend Python’s capabilities and make it applicable to diverse domains.
Cross-platform Compatibility: Python is available on various platforms, including Windows, macOS, and Linux, making it a portable language.
Everyone can take benefit’s from learning Python:
Students,Beginners and Novice Programmers,Software Developers,Data Scientists and Analysts,Web Developers,Artificial Intelligence and Machine Learning Enthusiasts,Scientific Researchers,IT Professionals & Game Developers.
Python is commonly used for automation and scripting tasks. It allows users to automate repetitive tasks, interact with operating systems, and simplify workflows.Whether you’re a complete beginner or an experienced developer, Python has something to offer, making it an accessible and popular choice in the world of programming.
Introduction to Python Language, features, the advantages of Python over other programming languages, Python installation, Windows, Mac & Linux distribution for Anaconda Python, deploying Python IDE, basic Python commands, data types, variables, keywords and more.
Built-in data types in Python, tabs and spaces indentation, code comment Pound # character, variables and names, Python built-in data types, Numeric, int, float, complex, list tuple, set dict, containers, text sequence, exceptions, instances, classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug, basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise, loop and control statements, while, for, if, break, else, continue.
How to write OOP concepts program in Python, connecting to a database, classes and objects in Python, OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation, Python functions, return types, and parameters, Lambda expressions, connecting to database and pulling the data.
Understanding the Database, need of database, Installing MySQL on windows, showing databases available in MySQL Database Server, creating a Database in MySQl Workbench and showing it, understanding a MySQL Connector, understanding Database connection using Python.
Introduction to arrays and matrices, indexing of array, datatypes, broadcasting of array math, standard deviation, conditional probability, correlation and covariance.
Introduction to SciPy and its functions, building on top of NumPy, cluster, linalg, signal, optimize, integrate, sub packages, SciPy with Bayes Theorem.
How to plot graph and chart with Python, various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.
Introduction to Python data frames, importing data from JSON, CSV, Excel, SQL database,
NumPy array to data frame, various data operations like selecting, filtering, sorting, viewing, joining, combining, how to handle missing values, time series analysis, linear regression.
Introduction to Exception Handling, scenarios in Exception Handling with its execution, Arithmetic exception, RAISE of Exception, what is Random List, running a Random list on Jupyter Notebook, Value Error in Exception Handling.
Introduction to Thread, need of threads, what are thread functions, performing various operations on thread like joining a thread, starting a thread, enumeration in a thread, creating a Multithread, finishing the multithreads. Understanding Race Condition, lock and Synchronization with lock.
Intro to modules in Python, need of modules, how to import modules in python, the import statement, locating a module, namespace and scoping, arithmetic operations on Modules using a function, Intro to Search path, Global and local functions, filter functions, Packages, Python Packages, import in packages, various ways of accessing the packages, Decorators, Pointer assignments, and Xldr.
Introduction to web scraping in Python, the various web scraping libraries, beautiful soup,
Scrapy Python packages, installing of beautiful soup, installing Python parser lxml, creating soup object with input HTML, searching of tree, full or partial parsing, output print, searching the tree.
Hi I am Kushal Dwivedi and I am super excited that you are reading this.
Professionally, I am a data science management consultant with over 8+ years of experience in Banking, Capital Market, CCT, Media and other industry. I was trained by best analytics mentor at dunnhumby and now a days I leverage Data Science to drive business strategy, revamp customer experience and revolutionize existing operational processes.
From this course you will get to know how I combine my working knowledge, experience and qualification background in computer science to deliver training step by step.
It was a great experience of learning in palin analytics. The course content and the lecture delivery is quite good. It is totally hands-on learning and very satisfactory learning. The main thing I found in palin is, this organization is very supportive and you can reach out any time for your queries. I would like to reach out here for further courses and will recommend for a better learning place
One of the nice institutes in Delhi NCR, they do provide awesome training. I have seen in previous comments/reviews that Palin Institute do not provide demo classes but this is totally wrong they do send class recordings and as well as they ask you to attend a demo class as well to get a clear view on the classes.
Thank you Monojay…Best of Luck for your bright future.
Took a weekend batch. The trainer is good . Has excellent knowledge of the concepts, liked his teaching style. Recommended.
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Palin Analytics is ISO certified training institute is the best option to learn Python since we provide job-based training and our training curriculum is on par with industrial criteria.
Pool of working professionals with several years experience in same field with different domains like banking, healthcare, retail, ecommerce and many more.
Along with the high quality training you will get a chance to work on real time projects as well, with a proven record of high placement support. We Provide one of the best Python Offline & Online Course, Training and Certification.
To avail of exciting offers and discounts on our Python training program, you can mail us at email@example.com or call us a 9810600764. You can also visit our center to get your query resolved.
Its Live interactive training, Ask your quesries on the go, no need to wait for doubt clearing.
you will have access to all the recordings, you can go through the recording as many times as you want.
Ask your questions on the go or you can post your question in group on facebook, our dedicated team will answer every query arises.
Yes we will help learners even after the subscription expires.
The duration of the Python course depends on the type of training mode you opt for, i.e., weekday batch, weekend batch, fast track batch, or online batch. For fee structure, you can visit our center or call us on 9810600764.
Python is one of the faster-growing languages that is easy to learn and easy to use. Also, 90 % of industries is using Python. This success also reveals a promising future scope of the Python programming language.
When you consider choosing the Python training course, you are likely to earn an attractive salary package as per your experience and knowledge. As you gain experience then you will earn to an unprecedented scale.
Becoming a Python programmer is very easy, there is no prior need of any programming knowledge, especially for those who have no experience of coding. By joining our Python Training, you can start learning the language.
Now these days Python is an additional subject included in Private schools. This training is suitable for freshers, graduates as well as postgraduates. If you are a professional who wants to polish your skills, then you can also attend this training.
No special requirements for learning Python. Anyone who has a passion to learn Python can join our training program.
We accept all the major payment modes like Cash, Card (Master, Visa, and Maestro, etc), Net Banking, UPI, Paytm, Google Pay, etc.
Yes, you’ll be given 100% placement assistance after the completion of the course.
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