The Incredible Growth of Python

While exploring the wealthy countries tend to visit a different set of technologies than the rest of the world. Among the largest differences we saw was in the programming language Python. When we focus on high-income countries, the growth of Python is even larger than it might appear from tools like Stack Overflow Trends, or in other rankings that consider global software development.


Welcome to PyBites Code Challenges - Hone Yours Python Skills

The best way to learn to code is by doing it. Code challenges == accelerated learning, but also fun and collaboration endorsing.


10th Year of PyCon India

PyCon India 2018 in Bangalore  
22nd - 26th August 2018
Bengaluru International Exhibition Centre, Bengaluru
PyCon India, the premier conference in India on using and developing the Python programming language is conducted annually by the Python developer community and it attracts the best Python programmers from across the country and abroad.


Five highly-paid and in-demand programming languages to learn in 2018

These are the languages that not only attract a decent pay packet, but that are also in demand, or whose use is expected to take off next year.

1. Python
2. R
3. Java
4. Go
5. Kotlin

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Machine Learning A-Z™: Hands-On Python & R In Data Science

What Will I Learn?
  • Master Machine Learning on Python & R
  • Have a great intuition of many Machine Learning models
  • Make accurate predictions
  • Make powerful analysis
  • Make robust Machine Learning models
  • Create strong added value to your business
  • Use Machine Learning for personal purpose
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem
  • Just some high school mathematics level.
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:
  • Part 1 - Data Preprocessing
  • Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
  • Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
  • Part 4 - Clustering: K-Means, Hierarchical Clustering
  • Part 5 - Association Rule Learning: Apriori, Eclat
  • Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
  • Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP
  • Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
  • Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA
  • Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.


How to Build a Web Application Using Python

As you all know, Python is a widely used high-level programming level that can be used to build web applications in combination with HTTP protocols. However, you also need to employ the features of a web framework like Django that allows you to develop web applications through a clean and pragmatic design.
Choose Django as your Python framework to build a web application and you are all covered. Additionally, web applications call for the storage of data, which is taken care of by a database in contrast to a simple file. This database is akin to your spreadsheet which stores data in the form of tables. So, if you are a developer looking to build a web application using Python, this step-by-step guide handholds to create one, without any hassles.