Get yourself trained on Python Foundations: The with this Online Training Python Foundations: The Road to Succinct Python 3: 3-in-1.
Online Training Python Foundations: The Road to Succinct Python 3: 3-in-1
Python is an easy to learn, powerful programming language. Its elegant syntax and dynamic typing, together with its interpreted nature, makes it an ideal language for scripting and rapid application development in many areas and on most platforms. If you’re a developer who wish to build a strong programming foundation with this simple yet powerful programming language Python, then this learning path is for you. This comprehensive 3-in-1 course is packed with step-by-step instructions, working examples, and helpful advice to teach you the programming aspects of Python and use them to build powerful applications. You will learn concepts such as variables, functions, loops, data types, lists, decorators, and working with strings. You will also be able to write Python code in a smarter way by learning various object-oriented programming concepts and techniques. You will explore data structures and algorithms in Python by implementation of different types of data structure, spanning from linear data structures to tree graph algorithms.This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Getting Started with Modern Python, starts off with setting up your development environment, including downloading Python and setting up your IDE (PyCharm). You will then be introduced to Python lists and list comprehensions. You will also understand what a generator is and why you need to use it. Next, you will learn how to use functions and decorators. You will learn how to create a very simple, single-file Python program, and how to execute it both from the command line and from within the IDE. Finally, you will learn to debug Python programs.The second course, Getting Started with Object-Oriented Programming in Python 3, begins with building objects and classes, followed by developing constructors and destructors to call and kill the objects. You will then get a detailed understanding of Inheritance and its dependence on objects. Based on their data types, you will learn to process objects differently through polymorphism, while abstraction techniques will enable you to hide data from a user. To ensure efficient coding, you will be introduced to exceptions and error handling. Furthermore, encapsulation with methods and variables will help you to keep data safe from external, unwanted interference. Finally, you will be taken through recursion mechanisms.The third course, Python Data Structures and Algorithms, starts off with covering the basics of data structures, linked lists, and arrays in Python. You will then learn how to code tuples in Python followed by an example that shows how to program dicts and sets in Python. You will also understand and implement stack, queue, and hash tables. Next, you will learn how to use tree/graph data structures including binary trees, heaps and priority queues in Python. Finally, you will be shown how to apply different algorithms such as Graph traversal, Shortest Path, Minimum Spanning Tree, Maximum Flow tree, and DAG topological sorting.By the end of this Learning Path, you will be well-versed with the programming concepts in Python 3 to write Python programs in a better and efficient manner.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Joran Beasley has over 7 years of experience as a professional software developer (primarily in Python) and is an active contributor to the Python community. He has previously worked with Packt Publishing as a tech reviewer.Besides being a Computer Science Instructor, Indrasen Pilankar has more than 8 years of experience in the computational field. He geeks out on networking, working on various open source projects based on this, as well as IoT, Cloud Computing, Linux, Android, and more. Opening up devices rather than using them has been a hobby of his ever since he was a kid because he’s more interested in understanding the device. A hardcore hardware guy, he builds devices such as tablets and storage devices and also solves day-to-day tech problems. Apart from the tech world, he loves cats and plays basketball.Harish Garg, founder of BignumWorks Software LLP is a data scientist and a lead software developer with 17 years of software Industry experience. BignumWorks Software LLP is an India based Software Consultancy that provides consultancy services in the area of software development and technical training. Harish has worked for McAfeeIntel for 11+ years. He is an expert in creating data visualizations using R, Python, and web-based visualization libraries.Mithun Lakshmanaswamy, part of BignumWorks Software LLP, has been developing applications in Python for more than nine years. He has written enterprise level distributed applications that are deployed on scores of servers and have the ability to support thousands of users simultaneously. Some of the applications he has developed are related to parsing millions of virus definitions, analyzing network packets from an enterprise setup, etc. He is also quite proficient in the teaching technical concepts and is quite involved with his current orgs training programmes. He has worked on multiple projects working with Python, AWS etc implementing the concepts of concurrent and distributed computing.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.