Python lectures

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Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming. Mac OS X and Linux comes pre installed with python. Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda is completely free and includes more than python packages. Both python 2. But the free version works just fine. Canopy as of now supports only 2. You can download the pdf copy from here : Get Started with Python. This will clear all the outputs and now you can understand each statement and learn interactively. This work is licensed under the Creative Commons Attribution 3. We use optional third-party analytics cookies to understand how you use GitHub. You can always update your selection by clicking Cookie Preferences at the bottom of the page.

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We use essential cookies to perform essential website functions, e. We use analytics cookies to understand how you use our websites so we can make them better, e. Skip to content. IPython Notebooks to learn Python stars forks. Dismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.

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Best Python online courses in 2020: learn or develop Python coding skills

Change 1. Oct 9, Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. The first exercises work on basic Python concepts like strings and lists, building up to the later exercises which are full programs dealing with text files, processes, and http connections.

The class is geared for people who have a little bit of programming experience in some language, enough to know what a "variable" or "if statement" is. Beyond that, you do not need to be an expert programmer to use this material. To get started, the Python sections are linked at the left -- Python Set Up to get Python installed on your machine, Python Introduction for an introduction to the language, and then Python Strings starts the coding material, leading to the first exercise.

The end of each written section includes a link to the code exercise for that section's material. The lecture videos parallel the written materials, introducing Python, then strings, then first exercises, and so on.

At Google, all this material makes up an intensive 2-day class, so the videos are organized as the day-1 and day-2 sections. And finally thanks to Google and my director Maggie Johnson for the enlightened generosity to put these materials out on the internet for free under the Creative Commons Attribution 2.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4. For details, see the Google Developers Site Policies. Google for Education. Python Exercises.Python for Climate Science 1. Use of the basic constructs:Programming Python with Style and Flair Modules and the Import statement Fundamental role of modules Every Python script is a module Store your functions in a module! It's not like Matlab. Nested modules Example: A table of physical constants Getting information about modules and objects: dir and help Lists,oh, the things you can do with lists!

String operations and methods Search,replace,split, etc. Python as a scripting language Your friend, the os module Generic directory and path commands glob.

Example: Converting a directory of history files to netCDF 4. Python for simulation A few examples in unadorned Python Chaos in the Logistic map: The Logistic Map Explorer class A 1-dimensional Runge-Kutta solver, with applications Orbits of the planets Introduction to Numeric arrays Creating arrays Array arithmetic Gotcha 1: Reference vs copy Gotcha 2: Promotion from float to double Array cross sections Example: The 1D diffusion equation The model--Explicit stepping version The model--Implicit version A more interesting boundary condition: Radiative cooling from the top A simple sea-ice model Hey there Snoopy, don't be loopy!

A short polemic on program design. Reasons for writing code in a "non-loopy" way. Efficiency, but it also makes it easier to do automatic parallelization, since high-level arithmetic on objects is a signal of parallelism. Also encourages dealing with higher-levels of abstractions, making code more readable and maintainable. Customization: Continents, contour values,etc Choosing a plot method isofill, etc Map projections Line plots Saving plots to a graphics file Plotting data using ncl scripts.Python is a popular general purpose programming language used for both large and small-scale applications.

Python modules exist for interacting with a variety of databases making it an excellent choice for large-scale data analysis and the Python programming language is often the choice for introductory courses in data science and machine learning.

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If you've been wondering how to learn python online to advance your career, you've come to the right destination. Enroll today in an online python class and earn a python certification.

As mentioned above, Python is an excellent programming language for web development as well as manipulating and analyzing data. Microsoft, Columbia University, Harvard and other top institutions use Python in their data science and research courses as well as in introductory computer science courses.

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It's like taking the actual class at MIT! Students who complete this 9-week python training program will have learned the foundational principles required to write more advanced data analysis and machine learning Python script. Within the course, you will learn about the fundamental design life cycle of computer science, writing code, and revising code.

Georgia Tech's Python programming X-Series consists of 4 courses to help you refine your skills. These courses are more than just a Python bootcamp.

They are immersive courses to help you launch your career.

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These Python tutorials will teach you the data analysis skills in high demand by employers and give you an arsenal of business analytics skills to advance your career. Why wait! Choose your best free python course and start learning how to code in python today.

A quick search of Indeed. The wide adoption of the language across many industries translates into a large number of job opportunities. The proper python certification can significantly influence a hiring manager looking to fill a specific role on his or her team. Big Data is on the rise the need for Python-savvy business analysts, data scientists and Python programming engineers will continue to grow at a rapid pace.

Enroll in one of many excellent introductory Python courses and become proficient in the language in only a few short weeks. Many python online courses are self-paced so you can start to learn programming in python immediately. From basic Python for beginners to advanced online courses, dive into a Python tutorial or Python class today!

Python Courses. View all edX Courses. Professional Certificate 4 courses. Professional Certificate 5 courses. XSeries Program 2 courses.Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques.

The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.

About the scipy lecture notes. Getting started with Python for science 1. Python scientific computing ecosystem 1.

python lectures

Why Python? How does Python compare to other solutions? Python 1. The Scientific Python ecosystem 1. Before starting: Installing a working environment 1. The workflow: interactive environments and text editors 1. Interactive work 1. Elaboration of the work in an editor 1. IPython and Jupyter Tips and Tricks 1. The Python language 1. First steps 1. Basic types 1. Numerical types 1. Containers Lists Strings Dictionaries More container types 1.

Python Lectures 02 KNC402

Assignment operator 1. Control Flow 1. Conditional Expressions 1. Advanced iteration Iterate over any sequence Keeping track of enumeration number Looping over a dictionary 1. List Comprehensions 1. Defining functions 1.

python lectures

Function definition 1. Return statement 1. Parameters 1. Passing by value 1. Global variables 1. Variable number of parameters 1. Docstrings 1. Functions are objects 1.

Methods 1. Exercises 1. Reusing code: scripts and modules 1.LinkedIn Learning. Python is one of the most popular high-level, general-purpose programming languages. Named after the comedy troupe Monty Python, the language has a user-friendly syntax that makes it very appealing to beginners. Thanks to its rich set of tools and libraries you can use Python for just about anything -- from web development and data analysis to artificial intelligence and scientific computing.

In fact, Python is used in some form or the other in virtually all major tech companies around the world, which makes it one of the top-most demanded skills. If you want to work with Python scripts, you'll need a text editor suitable for coding and an Integrated Developed Environment IDE to run them. So whether you are new to Python or to programming itself, here are some of the best online courses to help you get to grips with the language. Skillshare offers several Python tutorials aimed at beginners, but very few are as comprehensive as Programming in Python for Beginners.

The Instructor has designed the course with the assumption that the students have absolutely no clue about programming.

The course is made up of over 70 lessons for a total runtime of over 11 hours. The lessons will help you learn how the various arithmetic, logical and relational operators work and understand when to use lists, collections, tuples, dictionaries. The primer on functions is pretty usable as it shows you how to avoid common mistakes.

The course also touches on some advanced topics like measuring the performance of your code to help write efficient code. He also actively engages with students in the discussions page on the course to clarify any doubts and share feedback on the exercises. In terms of delivery, SkillShare has a rather vanilla player as compared to some of its peers.

It does give you the ability to alter the play speed and add notes, but the lack of support for closed captions is disappointing. SkillShare offers a Free trial during which you can take any course in their library including this one.

Udemy offers a wide range of excellent courses, but their course, The Python Mega Course: Build 10 Real World Applications, will be especially good for those who know some Python already. As its name suggests, the course teaches you how to build 10 practical apps using Python, from simple database query apps to web and desktop apps to data visualization dashboard, and more. The first 8 sections cover the fundamentals of Python and another four cover advanced topics before you get to coding the 10 examples in the remainder of the course.

Many of the example apps are preceded by a section or two that teach the crucial elements in the example. You can pay for the course once on Udemy to get lifetime access. You also get closed captions in over a dozen languages and can even view an auto-scrolling transcript of the lessons.

LinkedIn Learning offers a great range of professional development courses, and the course, Advance your career with Python, is no different. The instructor uses the Anaconda distribution of Python and writes code in Jupyter Notebook. The good thing about the course is that instead of straightaway diving into coding a construct, which many fast-paced introductory courses do, the instructor begins each lesson by explaining the construct and its use.

The course ends with a quick introduction to object-oriented programming. The service also offers a free 1-month trial, which should be more than enough to take this course.

python lectures

Coursera is another of our favorite online learning resources, and their Principles of Computing is a good course to expand your coding skills with Python.The so-called CSV Comma Separated Values format is the most common import and export format for spreadsheets and databases.

CSV format was used for many years prior to attempts to describe the format in a standardized way in RFC The lack of a well-defined standard means that subtle differences often exist in the data produced and consumed by different applications. These differences can make it annoying to process CSV files from multiple sources. Still, while the delimiters and quoting characters vary, the overall format is similar enough that it is possible to write a single module which can efficiently manipulate such data, hiding the details of reading and writing the data from the programmer.

The csv module implements classes to read and write tabular data in CSV format. Programmers can also describe the CSV formats understood by other applications or define their own special-purpose CSV formats. Programmers can also read and write data in dictionary form using the DictReader and DictWriter classes.

The csv module defines the following functions:. Return a reader object which will iterate over lines in the given csvfile. The other optional fmtparams keyword arguments can be given to override individual formatting parameters in the current dialect.

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For full details about the dialect and formatting parameters, see section Dialects and Formatting Parameters. Each row read from the csv file is returned as a list of strings. An optional dialect parameter can be given which is used to define a set of parameters specific to a particular CSV dialect.

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To make it as easy as possible to interface with modules which implement the DB API, the value None is written as the empty string. All other non-string data are stringified with str before being written. Associate dialect with name. The dialect can be specified either by passing a sub-class of Dialector by fmtparams keyword arguments, or both, with keyword arguments overriding parameters of the dialect.

Delete the dialect associated with name from the dialect registry. An Error is raised if name is not a registered dialect name.


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